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Validated quantitative models for lean supply chain planning (LSCP) are still scarce in the literature, particularly because conventional push systems have not been widely integrated and tested with pull systems in sustainable and resilient environments in the Industry 4.0 context. Hence the main contribution of this paper is to develop an optimisation model that is able to contribute to the LSCP with the combination of push and pull strategies. Here we present an integrated just-in-time (JIT) production system with material requirement planning (MRP) for a SC that takes a traditional five-level structure based on a mixed-integer linear programming model (MILP) dubbed as LSCP 4.0. The model is able to simultaneously plan the production and inventory of materials and finished goods to satisfy demand from forecasts and firm orders. The selection of alternative suppliers as a proactive measure to face disruptive events is also considered. Furthermore, sustainable practices are included in the objective function for profit maximisation by considering CO2 emissions. This proposal is tested in the footwear sector. The results demonstrate that the combined use of JIT and MRP through a quantitative approach improve performance in leanness, sustainability and resilience by decreasing the bullwhip effect at different SC levels. [ABSTRACT FROM AUTHOR]

Consumers' dramatic demand has a pernicious effect throughout the supply chain. It exacerbates inventory distortion because of significant revenue loss caused by stock-level issues. Despite the availability of several forecasting techniques, large organisations, manufacturing firms, and e-commerce websites collectively lose around $1.8 trillion annually to inventory distortion. If this problem is solved, sales may increase by 10.3 percent. The businesses are concerned about mitigating this loss. Artificial intelligence (AI) can play a significant role in building resilient supply chains. However, developing AI models consumes time and cost. In this paper, we propose a No Code Artificial Intelligence (NCAI) enabling non-technical companies to build machine learning models based on production quantity and inventory replenishment. The development of the NCAI model is fast and inexpensive. However, little research deals with applying NCAI to operations and supply chain problems. Addressing the existing gap, we show the application of NCAI in the retail industry. [ABSTRACT FROM AUTHOR]

Modern supply chains are complex, interconnected systems that contain emergent, invisible dependencies. Lack of visibility often hinders effective risk planning and results in delayed discovery of supply chain problems, with examples ranging from product contamination, unsustainable production practices, or exposure to suppliers clustered in geographical areas prone to natural or man-made disasters. Initiatives that rely on manual collection of data often fail due to supply chain complexity and unwillingness of suppliers to share data. In this paper, we propose a neurosymbolic machine learning technique to proactively uncover hidden risks in supply chains and discover new information. Our method uses a combination of graph neural networks and knowledge graph reasoning. Unlike existing research our model is able to infer multiple types of hidden relationship risks, presenting a step change in automated supply chain surveillance. The approach has been tested on two empirical datasets from the automotive and energy industries, illustrating that it can provide inference in multiple types of links such as companies, products, production capabilities, certifications; thereby facilitating complex queries that go beyond who-supplies-whom. As such, additional risk insights can emerge from graph structure, providing practitioners with new knowledge. [ABSTRACT FROM AUTHOR]

In this paper, a three-echelon supply chain problem under demand uncertainty is considered. The problem is formulated as a multiperiod two-stage stochastic optimisation model. The first stage, consisting of production and replenishment decisions, is integrated with the second stage, which comprises reactive fulfillment decisions, allowing seamless determination as demands are revealed over time. The demand in each period is characterised by an uncertainty set based on the nominal value and demand bounds. We propose a target-based robust optimisation (TRO) approach to determine the most robust planning with respect to a pre-specified cost target. The proposed TRO approach can trade off the total cost (performance) and model feasibility in the presence of demand perturbation (robustness) by fine-tuning the cost target. The robust counterpart is converted to a quadratically constrained linear programming (QCLP) problem, which can be solved by commercial solvers. Numerical experiments demonstrate that the TRO approach can outperform traditional robust optimisation methods in terms of both cost and feasibility against demand uncertainty by enabling precise adjustment of the cost target. Importantly, the TRO approach provides a flexible means to strike a balance between performance and robustness metrics, making it a valuable tool for supply chain planning under uncertain conditions. [ABSTRACT FROM AUTHOR]

Supply chains operate in a highly distuptive environment where a SC master plan should be updated in line with disruptions to ensure that a high service level is provided to customers while total cost is minimised. There is an absence of knowledge of how a SC master plan should be updated to cope with disruptions using hybrid modelling. To fill this gap, we present a hybrid modelling framework to update a SC master plan in presence of disruptions. The proposed framework, which is a precursor to a SC digital twin, integrates simulation, machine learning, and optimisation to identify the production, storage, and distribution values that maximise SC service level while minimising total cost under disruptions. This approach proves effective in a SC disrupted by demand increase and lead time extension. Results show that employing hybrid modelling leads to a noticeable improvement in service level and total cost. The outcome of the new knowledge on using hybrid modelling for managing disruptions provides essential learning for the extension of modelling through a digital twin for SC master planning. We observe that in the presence of disruptions it is more economical to keep higher inventory at downstream SC members than the upstream SC members. [ABSTRACT FROM AUTHOR]

The emergence of blockchain creates a new possibility to solve the fraudulent problem of financial supply chain. We construct a game model to verify the strategic choice of the financial supply chain in an uncertain environment. We derive the equilibrium results and investigate the strategic choice of blockchain service for the financial supply chain. We also study the product price, product quantity, financing interest rate, and supply chain risk transmission, respectively. Specifically, when the blockchain is not considered, the financial model of supply chain led by core enterprises depends on firms' reputation. The retail and wholesale prices increase when fraud occurs or consideration payment increases. Besides, the market stability reduces price performance. In the blockchain environment, the strategic choices are divided into two cases: when choosing the core enterprise model and the third-party service model, the third-party service model is the equilibrium strategy; when choosing the third-party service model and the platform model, the platform model is the equilibrium strategy. [ABSTRACT FROM AUTHOR]

Visibility across supply chains has been a key concern for organisations for many years, but the tools and information systems to achieve real-time visibility have not been available until recently. In response to uncertainty and complexity, advanced information and communication technologies have been explored for supply chain visibility (SCV). However, managerial perspectives are largely absent from the current literature. In response, this paper systematically documents managerial factors influencing SCV and information that should be collected and shared among supply chain partners for better visibility. A multi-stage Delphi analysis was conducted with 26 supply chain experts from various globally recognised enterprises with manufacturing units located worldwide. The results provide details on prioritised managerial perspectives and experiences within (1) factors affecting SCV (drivers, enablers, challenges and contingencies), (2) SCV content (supplier, internal and customer information) and (3) implications of SCV (capabilities and performance effects). One observation was that forecasting is not deemed as important due to severe disruptions in supply chains. Real-time visibility for better predictability emerged as the top priority. This study is among the few that empirically explores factors influencing supply chain visibility and generates new insights into why barriers can be difficult to overcome in complex supply chain settings. [ABSTRACT FROM AUTHOR]

With the fierce competition in e-commerce, e-tailers are required to rapid responses to a variety of customised orders with multiple frequencies and strict delivery times. The delay or insufficient supply caused by disruptions might result in lost sales during long-term processes. To address this problem, a two-stage stochastic programming model considering profits, consumer service level (CSL) as well as market priorities is developed to manage long-term disruptions. We analyse multi-period consumer transaction data and formulate geographical relevance (GR) to link each marketplace with historical data in related regions and then prioritise market segments. A GR-based two-stage stochastic programming with multi-period is proposed, which (1) considers both proactive mitigation decisions before disruption and reactive recovery plans after disruption; (2) collaborates three resilience strategies; (3) optimises the e-tailer's profits considering market priorities during long-term disruptions. Using a real case of Chinese e-commerce under the COVID-19 pandemic, it is illustrated (1) the applicability and performance of the proposed GR-based model for multi-period resilience optimisation improving both the CSL and the total profit; (2) the efficiency and robustness of the developed sequential particle swarm optimisation with social structures algorithm. The proposed method could optimise e-tailers' response strategies for managing long-term disruptions in practice. [ABSTRACT FROM AUTHOR]

Artificial Intelligence (AI) has emerged as a complementary technology in supply chain research. However, the majority of AI approaches explored in this context afford little to no explainability, which is a significant barrier to a broader adoption of AI in supply chains. In recent years, the need for explainability has been a strong impetus for research in hybrid AI methodologies that combine neural architectures with logic-based reasoning, which are collectively referred to as Neurosymbolic AI. The aim of this paper is to provide a comprehensive overview of supply chain management literature that employs approaches within the neurosymbolic AI spectrum. To that end, a systematic review is conducted, followed by bibliometric, descriptive and thematic analyses on the identified studies. Our findings indicate that researchers have primarily focused on the limited subset of neurofuzzy approaches, while some supply chain applications, such as performance evaluation and sustainability, and sectors such as pharmaceutical and construction have received less attention. To help address these gaps, we propose five pillars of neurosymbolic AI research for supply chains and provide four use cases of applying unexplored neurosymbolic AI approaches to address typical problems in supply chain management, including a discussion of prerequisites for adopting such technologies. We envision that the findings and contributions of this survey will help encourage further research in neurosymbolic AI for supply chains and increase adoption of such technologies within supply chain practice. [ABSTRACT FROM AUTHOR]

We consider a decentralised assembly supply chain that consists of an assembler and multiple suppliers. The cooperation between the assembler and each supplier is organised under a pull contract, which indicates that the suppliers bear the overstock risk. One of the suppliers may suffer disruption and endogenously builds the reliability, and the assembler could provide the subsidy for this unreliable supplier to improve the reliability. We reveal that in addition to the assembler, a reliable supplier with a sufficiently high wholesale price also has incentives to jointly offer subsidy for the ex ante reliability improvement. The reliable supplier's participation in reliability improvement could benefit all the supply chain members. Furthermore, we examine a subsequent reliable supplier's incentives to offer subsidy based on the previous one's. It suggests that it is not necessary for a subsequent reliable supplier with a lower wholesale price than the previous one's to provide the subsidy. Higher reliability for the whole supply chain could be achieved if the previous reliable supplier with a higher wholesale price provides the subsidy. We finally examine the impact of multiple unreliable suppliers and show that a larger number of unreliable suppliers would discourage a reliable supplier's subsidy. [ABSTRACT FROM AUTHOR]

Catastrophe-related insurance (e.g. business interruption insurance) is an effective financing tool for global corporations to reduce economic losses caused by high impact events. Flexible operational planning is an often-used tool enabling rapid adjustment of operational plans for reducing catastrophe-related damage costs. The interaction between catastrophe insurance and flexible operations planning has rarely been studied. In this paper, we develop a stochastic programming model for a multi-echelon global supply chain network that we solve to investigate the impact of purchasing catastrophe insurance on supply chain operational planning in a catastrophe-prone environment. Computational simulations are developed for evaluating solution quality and measuring catastrophe-related damage costs. We find that it may be optimal for supply chains to scrap redundant products in catastrophes when customer demand falls below the expected level. Purchasing catastrophe insurance may encourage supply chains to scrap more products, which results in more catastrophe-related damages. From analysing supply chain costs, catastrophe-related damage costs, and operational plans, we find that a higher compensation rate of catastrophe insurance triggers more production activities being planned at the vulnerable node just before the vulnerable time period, especially for low residual value products. Finally, we give managerial insights to help reduce unnecessary damages in catastrophes. [ABSTRACT FROM AUTHOR]

Traditional supply chain management faces challenges such as low level of information sharing and lack of transparency. Due to the features such as tamper-proof, reliability and traceability, the blockchain technology enhances the trust among stakeholders and enables transparent transactions and open collaboration, which can reduce the risk of supply chain disruptions. Accordingly, blockchain technology-based supply chain management has attracted more attention from academics and practitioners. However, existing review studies mainly focus on different industries or topics and lack a more comprehensive analysis. Therefore, this paper presents a systematic review integrating bibliometric analysis with theme analysis to understand the current research state in BT-SCM and discuss its future research trends. On the one hand, VOSviewer is used to conduct bibliometric analysis to explore the influences of existing studies from six aspects: publication year, author, country, keyword, journal, and article citation. On the other hand, the functional application of BT-SCM is discussed from logistics traceability, supply chain finance, supply chain collaboration, sustainable management and risk management to determine the research status, and the enablers and barriers of blockchain application in SCM are summarised to facilitate practitioners to adopt BT, and finally the potential research directions are proposed for scholars in this field. [ABSTRACT FROM AUTHOR]

This paper delves into the impacts of an ongoing global crisis on the resilience of supply chains. Furthermore, it proposes measures to address and mitigate the disruptions caused by the prevailing uncertainties. For example, while the economy has started to recover after the pandemic and demand has increased, companies have not fully returned to their pre-pandemic levels. To enhance their supply chain resilience and effectively manage disruptions, one viable strategy is the implementation of flexible/hybrid manufacturing systems. This research is motivated by the specific requirements of Vestel Electronics, a household appliances company, which seeks a flexible/hybrid manufacturing production setup involving dedicated machinery to meet regular demand and the utilisation of flexible manufacturing system (FMS) to handle surges in demand. We employ a scenario-based approach to model demand uncertainty, enabling the company to make immediate and adaptive decisions that take advantage of the cost-effectiveness of standard production and the responsiveness of FMS. To solve the problem, we propose a heuristic algorithm based on column generation. The numerical results demonstrate that our optimisation model provides solutions with an average optimality gap of less than 6% while also reducing the average cost of standard production schemes without FMS by over 12%. [ABSTRACT FROM AUTHOR]

Problem Blood is a rare perishable substance with limited life in the real world and blood supply chain management is a vital subject. Hence, it is trying to design an efficient supply chain network to create a balance between blood supply and demand, particularly in deficient conditions. One effective solution for blood deficiency compensation is the use of incentive programs at the right times to encourage people for blood donation. The novel aspect of this study considers a new mathematical model to design a blood supply chain network with the location of temporary centers for collecting donated blood, in addition to incentive programs in the right periods to actualize the goal of creating blood supply-demand equilibrium and minimizing the cost of the network. Method In this paper, four methods have been used in different dimensions to solve the proposed model. In this case, augmented epsilon constraint (AEC/EC) was used for small dimensions, while electromagnetic algorithm (EM), Non-dominated ranked genetic algorithm (NRGA), and non-dominated sorting genetic algorithm (NSGA-II) were used for large dimensions due to the inherent complexity of the problem. Results The performance of algorithms was analyzed based on the four standard indicators. Then, their outputs were evaluated using statistical assumption tests at the significance level of 0.05. In three considered indicators (SNS, MID, and TIME indicators), the NSGA-II algorithm outperformed the NRGA and EM algorithms. This case indicated the superiority of the NSGA-II algorithm over the NRGA and EM algorithms especially for problem solution time, which is one of the most significant indicators used in metaheuristic algorithms. [ABSTRACT FROM AUTHOR]

Frequent occurrence of disruptions in the supply chain due to the Covid-19 pandemic has increased the supply chain vulnerability (SCU), which affects the performance and revenue generation of firms. If the commodity we are dealing with in a supply chain is of a perishable nature, then the situation becomes more complicated, as such products need restrictive storage and transportation facilities. The dairy supply chain is one such perishable product supply chain. This paper, thus, proposes a method to identify key drivers of SCU in a dairy SC followed by establishing a model using interpretive structural modeling (ISM) and a graph theory approach (GTA) to calculate the SCU Index. It is important to quantify the SCU for identifying major factors affecting it and then developing techniques to mitigate it. In order to quantify the SCU, first, the ISM model is used to identify the interrelation between drivers, and then an adjacency matrix is formed by using the interdependence, thereby adding inheritance of each driver. A variable permanent matrix is formed to calculate the SCU Index for the SC. This proposed approach will help managers in mitigating the adverse effects of COVID-19 on the dairy supply chain. [ABSTRACT FROM AUTHOR]

The agricultural supply chains (ASCs) are exposed to unprecedented risks following COVID-19. It is necessary to investigate the impact of risks and to create resilient ASC organisations. In this study, we have identified and assessed the ASC risks caused by disruptions. These threats were assessed using Fuzzy Linguistic Quantifier Order Weighted Aggregation (FLQ-OWA). The findings reveal that supply risks, demand risks, financial risks, logistics and infrastructure risks, management and operational, policy and regulation, and biological and environmental risks have a significant impact in ASC depending upon the organisations scope and scale. Various strategies such as adoption of industry 4.0 technologies, supply chain collaboration and shared responsibility is identified for sustainable future. Theoretical and managerial implications are provided based on the outcomes of the study. [ABSTRACT FROM AUTHOR]

The COVID‐19 pandemic has created many challenges for the modern and interconnected world we live in. Global supply chains (GSCs), which until this outbreak, had shown a certain level of responsiveness and reliability in responding to disruptions, were subject to a great test of their resilience. Adopting a qualitative research approach and carrying out in‐depth interviews with several different companies, it is shown that COVID‐19 has caused substantial harm to a variety of industries worldwide, compromising all nodes of their supply chain, from raw material assurance to the delivery of finished goods to consumers. Consequently, the disruption propagation was both from upstream and downstream of the value chain. The results also revealed some mitigation measures adopted and the intention to implement future ones to deal with consequences of potential future disruptions. Aiming to investigate if the pandemic crisis was intensifying deglobalization trends, the study also researched the relationship between supply chain disruptions and their impact on global trade. The analysis pointed to a deacceleration of international trade during the first months of the disease, mainly due to the closure of borders, but after this period, global dynamics started to be re‐established, suggesting that there is not an intensification of deglobalization trends. The study is considered relevant to the literature, as it brings more evidence and diversified viewpoints from various interviewees and industries in a recovering phase of COVID‐19 impacts, as well as to GSCs' decision‐makers since it brings about some managerial insights to better navigate through crises. [ABSTRACT FROM AUTHOR]

Purpose: This study draws on the conservation of resources logic to theorize the role of firm resilience in explaining variations in entrepreneurial well-being under varying conditions of supply chain disruption and dependency ratio. Design/methodology/approach: The study uses ex-post survey data from 373 women entrepreneurs in diverse agricultural supply chains in Ghana, a sub-Saharan African country. Moderated regression analysis is employed to test the research hypotheses. Findings: The results indicate that firm resilience has both positive and negative relationships with economic and subjective well-being, depending on the level of supply chain disruption and dependency ratio women entrepreneurs face. Notably, the findings suggest that firm resilience contributes more to economic and subjective well-being of women entrepreneurs when dependency ratio is low and supply chain disruption is high. Originality/value: The study integrates firm resilience research and entrepreneurial well-being literature to provide new insights into theorizing and analyzing the benefit of firm resilience for women entrepreneurs' well-being. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to discuss how cross-border e-commerce enterprises can promote the sustainable development of the supply chain by optimizing the risk of supply disruption and product quality control mechanism of the cross-border supply chain of low-carbon agricultural products in the face of the problem of uneven quality and inventory shortage that prevails in the supply chain of low-carbon agricultural products under the framework of low-carbon economy. Methods: A two-level supply chain model consisting of a risk-averse cross-border e-commerce enterprise and two risk-neutral overseas suppliers is constructed to compare the optimal strategies and their coordination effects under the centralized and decentralized decision-making modes, and to deeply analyze the supply chain's operation mechanism. Further, the quality cost factor is introduced and an option contract model is designed to quantitatively analyze the impact of different decision-making scenarios and parameter changes on the overall supply chain performance. The results of the study show that under the coordination of option contract, the profit of cross-border e-commerce companies tends to decrease as the risk of supply disruption increases, while the profit of suppliers rises accordingly. Meanwhile, improving the quality of agricultural products can significantly improve the overall profitability of the supply chain. The cost-sharing mechanism is positively related to the profit of cross-border e-commerce companies, but negatively affects the profit of suppliers. In addition, the adjustment of the option price is directly associated with the increase of the specific supplier's profit and the decrease of the cross-border e-commerce enterprise's profit. Conclusion: By constructing and analyzing the option contract model considering the risk of supply disruption, this study effectively reveals the key influencing factors and their interactions in the cross-border supply chain of low-carbon agricultural products, and provides cross-border e-commerce enterprises with specific strategies to achieve coordination of the supply chain contract, improve product quality, and mitigate the risk of supply disruption, and then promote the sustainable development of the supply chain of low-carbon agricultural products. [ABSTRACT FROM AUTHOR]

Related Articles This article traces the impacts of the Abraham Accord and Middle Eastern QUAD on Pakistan's energy security. It asks how and to what extent the Abraham Accord and Middle Eastern QUAD can potentially jeopardize Pakistan's energy security and evaluates the way forward for Pakistan to counter security threats. The study contends the Abraham Accord and Middle Eastern QUAD have extended the influence of India and Israel from the Middle East to the Indian Ocean, thereby increasing the risk to Pakistan's energy supplies. Meanwhile, expanded and intensified securitization of the Strait of Hormuz has likewise increased the vulnerability of energy supplies from the Middle East. Pakistan imports 72% of its energy from the Middle East via the Strait of Hormuz, and any disruption in energy supplies or blockade of maritime routes would severely undermine Pakistan's socioeconomic and political stability. Pakistan, we argue, must therefore diversify its energy imports from Russia, Central Asia, and Iran to safeguard its energy interests.Hussain, Mehmood, Ahmed Bux Jamali, Rana Danish Nisar, and Abdulfattah Omar. 2024. “The China–Iran Strategic Deal and CPEC: Navigating the Influence of Pragmatic Balancing in China's Relations with Iran and Pakistan.” Politics & Policy 52(1): 227–44. https://doi.org/10.1111/polp.12573.Lazin, Fred A. 2023. “President Donald Trump's Abraham Accords initiative: Prospects for Israel, the Arab states, and Palestinians.” Politics & Policy 51(3): 476–87. https://doi.org/10.1111/polp.12533.Thornton, William H., and Songok Han Thornton. 2024. “Extended Commentary—U.S.‐Asian Policy in the Throes of McCarthyism, Old and New.” Politics & Policy 52(4): 854–73. https://doi.org/10.1111/polp.12604. [ABSTRACT FROM AUTHOR]

This study explores a supply chain product-inventory problem with advance sales under the omni-channel strategies (physical and online sales channels) based on the brand owner's business model and develops corresponding models that have not been proposed in previous studies. In addition, because the brand owner is a member of the supply chain, and has different handling methods for defective products or products returned by customers in various retail channels, defective products or returned products are included in the supply chain models to comply with actual operating conditions and fill the research gap in the handling of defective/returned products. Regarding the mathematical model's development, we first clarify the definition of model parameters and relevant data collection, and then establish the production-inventory models with omni-channel strategies and advance sales. The primary objective is to determine the optimal production, delivery, and replenishment decisions of the manufacturer, physical agent, and online e-commerce company in order to maximize the joint total profits of the entire supply chain system. Further, this study takes the supply chain system of mobile game steering wheel products as an example, uses data consistent with the actual situation to demonstrate the optimal solutions of the models, and conducts sensitivity analysis for the proposed model. The findings reveal that increased demand shortens the replenishment cycle and raises order quantity and shipment frequency in the physical channel, similar to the online channel during normal sales. However, during the online pre-order period, higher demand reduces order quantity and cycle length but still increases shipment frequency. Rising ordering or fixed shipping costs lead to higher order quantity and cycle length in both channels, but variable shipping costs in the online channel reduce them. Market price increases boost order quantity and frequency in the online channel, while customer return rates significantly impact inventory decisions. [ABSTRACT FROM AUTHOR]

Over the course of the past decade, critical and strategic minerals lists have soared in popularity globally. Though nomenclature may range from critical minerals to critical raw materials, the core understanding is generally one informed by critical functionality – often linked to the energy or digital transition or to military purposes – and economic scarcity, which renders it vulnerable to supply chain disruptions. This paper develops a compendium of core critical and strategic minerals with global importance by comparing the critical and strategic minerals lists of ten jurisdictions (Australia, Canada, China, the European Union, India, Japan, the Republic of Korea, South Africa, the United Kingdom, and the United States) and collating a single list on the basis of clear majority representation. Because most mining law practitioners are not trained geologists, the paper then unpacks information that will be valuable to practitioners who encounter a given critical mineral in their practice: Where is it listed as a critical and strategic mineral? Geopolitically speaking, what does the world's security of supply look like? What are its main uses and why is it critical? How is it mined and refined, and are there any particular associated risks? What are the social and environmental impacts that are specifically associated with this mineral (as opposed to impacts broadly associated with all mining)? How easily substitutable is this commodity (given that that constitutes an economic risk to the mine)? Finally, what is the position regarding recyclability? Critical and strategic minerals vary in important ways from one another. The careful practitioner will want to derisk critical and strategic mineral projects in a targeted manner, mindful of the characteristics of the commodity at hand. Thus a rare earths project raises different considerations than a lithium one. Bespoke contracts require insight into the characteristics of critical and strategic minerals, as outlined in the Core Critical and Strategic Minerals Compendium. [ABSTRACT FROM AUTHOR]

Global shipping alliances have become an important institution in international seaborne trade. Their raison d'être is higher efficiency and lower costs, to the benefit of the consumer. However, experiences from GSA operations during the COVID-19 supply chain crisis show that GSAs may have considerable market power, not quite aligned with the spirit of the lawmaker who has exempted them from antitrust laws. This raises many questions this paper attempts to answer: What drives the formation, stability and dissolution of GSAs? And have external and internal factors, such as government policies, ship sizes and freight rates, had always the same effect on GSAs over time? We decompose industry concentration (HHI) into seven components. This is done based on the Variational Mode Decomposition model. The components are subsequently reconstructed through gray correlation. Next, a Generalized Additive Model is specified, to analyze the relationships between influencing factors and the evolution of GSAs. We look both at the development (trend) of industry concentration, as well as its fluctuations (cyclicality) over time. We show that effects vary over time, with the same factors having different impacts on GSAs at different times. The paper can assist policymakers in their efforts to regulate and supervise container shipping. [ABSTRACT FROM AUTHOR]

Hydraulically amplified self‐healing electrostatic (HASEL) actuators generally consisting of dielectric elastomer (DE) and transformer oil have garnered interest in the realm of soft actuators. However, existing DE can hardly reconcile contradictions between high dielectric constants and low modulus, while traditional transformer oil demands a continuous power supply to sustain strain. Herein, by incorporating liquid metal (LM) featuring high dielectric constant and low modulus, with poly(ε‐caprolactone) (PCL) bearing low phase change temperature, a new concept of electric‐thermal dual‐responsive HASEL actuator is first proposed for solid–liquid bi‐stabilized smart switching. It is not only able to simultaneously deliver a tripled dielectric constant of DE from 3.1 to 9.7 (at 1 kHz) and a low modulus (0.12–0.15 MPa), thus achieving a strain of 9% and a specific power of 64.8 W kg−1; but also, PCL replaces the transformer oil, acting as a “temperature switch” for the HASEL actuator, i.e., when PCL solidifies, the HASEL actuator stabilizes the deformation, allowing it to continue working even without power supply. Exemplified by valve, the as‐prepared dual‐responsive HASEL actuator can independently control the flow rate of each valve unit. This electric‐thermal dual‐responsive HASEL actuator introduces an innovative strategy for developing the next generation of multifunctional smart switching. [ABSTRACT FROM AUTHOR]

In the face of supply chain disruptions, firms are expected to swiftly recover and resume operations. Traditional strategies focus on restoring operations to pre‐disruption states while largely maintaining the existing supply network structure. Recent cases, however, highlight a different approach: supply chain plasticity, wherein firms undergo significant structural shifts in supply network design as a response to disruptions with the goal to improve performance. Drawing on the foundations of supply chain responsiveness and network theory, we investigate how (and if) firms redesign their supply chains against a backdrop of increased disruptions and the implications supply chain plasticity has on resilience. Rooted in network theory, this study not only theoretically compares, contrasts, and connects prior concepts with supply chain plasticity but also empirically investigates whether firms exhibit a plastic response by modifying their supply chain network structures—specifically focusing on structural holes, centrality, and clustering network dimensions. Furthermore, we hypothesize that network plasticity impacts firm performance in the form of time to recover from a disruption. The findings demonstrate that the existence and significance of network plasticity in shaping firm responses to disruptions are indeed present and can be beneficial. We also provide evidence that supply chain plasticity is an efficacious strategy to enhance resilience and recovery performance amidst heightened disruption frequency. As firms increasingly face dynamic and complex environments, understanding and leveraging network plasticity will be vital for sustaining competitive advantage and achieving long‐term success. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this research is to highlight the significance of advancing research methodologies in logistics, operations and supply chain management. It seeks to expand the scope of research questions and explore areas previously constrained by traditional methodological approaches, thereby enhancing the exploration of complex, real-world business issues. Design/methodology/approach: This commentary introduces and discusses the special issue on "Advances in Research Methodologies for Logistics and Supply Chain Management," exploring methodological innovations, diversity and their potential to address complex business and disciplinary challenges. The commentary assesses a broad spectrum of methodologies, ranging from traditional qualitative and quantitative approaches to overlooked methods such as qualitative comparative analysis, netnography, design science, Bayesian networks, machine learning and repertory grid technique. This diverse methodological approach enables a comprehensive examination of emerging and ongoing challenges in the supply chain. In the final summary section, we highlight additional areas of research method innovation not covered in this special issue, offering a broader perspective on future directions for methodological advancements in SCM research. Findings: The findings suggest that integrating less explored methodologies from various disciplines encourages a richer, multi-level analysis of the supply chain management landscape. This integration facilitates a deeper understanding of emerging challenges, such as geopolitical issues, global supply chain disruptions and the integration of new technologies. Additionally, the exploration of 'white space' in research methodologies indicates significant potential for discovering new insights that bridge practical problems with theoretical contributions. Originality/value: The value of this methodological diversity extends beyond academic enrichment. It catalyzes the generation of innovative insights crucial for business practitioners, policymakers, consultants and academics. By adopting varied research designs and methodologies, the research note can offer a broader spectrum of analytical perspectives, crucial for uncovering nuanced insights into complex, cross-cultural and relationship-based dynamics in supply chain research. [ABSTRACT FROM AUTHOR]

The COVID-19 global pandemic, over the last year and a half, has managed to create massive disruptions in global supply chains and exposed their vulnerabilities, thereby reemphasizing the importance of resiliency. The current study aims to identify and prioritize, through the quantitative decision-making technique of Interpretive Structural Modelling (ISM), a set of barriers to resiliency for the pharmaceutical supply chain in India. The rationale behind choosing the Indian pharmaceutical supply chain was that the pharmaceutical sector in India supplies over half of the global demand for vaccines and generic drugs, and the trajectory of growth is indicated around US$100 billion by the year 2025, along with exporting pharmaceutical products to nearly 200 destination countries. The findings of the current study are expected to aid the decision-makers in evaluating the relative criticality and the interrelationship between the potential (and critical) barriers to supply chain resiliency, and in turn to develop strategic plans. This, in turn, can help to combat unforeseen supply chain disruptors such as COVID-19. This methodology and the findings of the study can be generalized for other supply chains. [ABSTRACT FROM AUTHOR]

This research endeavored to provide an analysis of the barriers related to the agri-food supply chain in the context of the Indian agro-industry. The methodology used is based on an Interpretive Structural Modeling with a Matrix of Cross Impacts-Multiplication Applied to a Classification (MICMAC) technique. There is a need for specificity in defining Agro-food supply chain barriers before they can be eliminated. Therefore, the goal of this study is to look at the factors which are emerging as constraints to the growth of the agri-food supply chain. The findings show that transparency and traceability, inadequate infrastructure, difficulty in implementing government schemes, and inadequate risk management measures constitute important barriers to agri-food supply chains. This study provides an understanding of supply-chain barriers related to the agro-food industry. Managers/owners of agricultural enterprises can use the findings of this study to more easily identify the prominent barriers which affect agri-food supply chains. Furthermore, this study can be used as a guide to deal with the supply chain problems facing agri-enterprises in the face of high demand for agri-products. [ABSTRACT FROM AUTHOR]

The COVID-19 outbreak was deemed a pandemic by the World Health Organization (WHO), and the associated travel restrictions led to an unprecedented fall in the UK economic growth including the construction sector. Nevertheless, few quantitative studies assessing the impact of COVID-19 on the UK construction sector have been conducted as of now. So, this research aims to quantitatively assess the COVID-19 pandemic's effects and causally evaluate its influence on the UK construction industry. We utilize panel data comprising financial information from listed UK construction firms spanning from 2015 to 2021. The findings reveal a substantial adverse impact of COVID-19 on business performance, with a notable improvement in performance in 2021 compared to 2020. It also proves that the supply chain disruption, labour shortage, and financial dilemma are the main reasons for the negative effect of COVID-19 in 2020 and 2021, and increased vaccination rate, domestic policy changes, and potential for construction development are the possible reasons for the 2021 recovery. Despite the gradual easing of the epidemic situation, the construction industry must enhance its resilience to sudden disasters to effectively facilitate a robust economic recovery. It is essential to further examine the economic fluctuations caused by the pandemic emergency and the mechanisms for its recovery. [ABSTRACT FROM AUTHOR]

This paper investigates the impact of COVID-19-related disruptions on firms' operating cycles. Demand shocks and supply chain disruptions can have unexpected outcomes on operating cycles, especially on receivables and inventories. We find that the COVID-19 pandemic caused a significant increase in firms' operating cycle lengths. Further, we separate the operating cycle into its components and find that firms experienced an increase in both receivables and inventories; this implies longer times to collect receivables and slower-moving inventories. Furthermore, we find that firms with more resources – larger firms and higher cash flows – experienced smaller increases in operating cycles. Moreover, while firms experienced a sharp drop in profitability after COVID-19, an increase in operating cycle exacerbated the drop in profitability even more. We contribute to the literature by showing how the aftermath of COVID-19 impacted firms' operating cycles. [ABSTRACT FROM AUTHOR]

Rare earth elements are an essential critical raw material in the development of modern technologies and are highly sensitive to both supply chain disruptions and market turbulence. The presented study examines the characteristics of fuel, fly ash, and bottom ash from lignite combustion in power plant units. Also, we attempted to determine the amount of amorphous glass in the ashes and whether and to what extent the glass from the ash samples is bound to REY. The suitability of the ash was assessed as an alternative source of REY. The fuel and ash samples were acquired from power plants in Poland. The tests determined the fuel quality parameters, including the chemical and phase composition, of amorphous glass using ICP-MS and XRD methods, respectively. The study showed that all ash samples dissolved in 4% HF were enriched in REY. The efficiency of REY enrichment varied, and its presence in the residue samples was found to be in similar proportions compared to the raw sample. All ash residue samples were enriched in critical elements. The obtained values of the Coutl prospective coefficient allowed for the classification of some of the analyzed ashes and their residues after dissolution in 4% HF as prospective REY raw materials. [ABSTRACT FROM AUTHOR]

The fleet sizing problem is a critical challenge in closed-loop supply chains because of the additional requirements of managing product returns. To tackle this challenge, this study addresses the integration of fleet sizing with vehicle routing problem in closed-loop supply chain management, considering simultaneous delivery and pickup under demand uncertainty. A mixed-integer linear programming model is proposed to minimize vehicle acquisition and shipment costs, and a multi-stage adjustable robust optimization formulation is employed to handle uncertainty. Prior studies have neglected to address this important problem due to a lack of efficient solving methods. Hence, three exact, heuristic, and metaheuristic algorithms are developed to solve the problem. The numerical experiments demonstrate that the proposed methods outperform the existing Hyper-box based Branch-and-Partition method, improving computational efficiency and solution quality. This study also helps practitioners make better fleet sizing decisions under uncertainty. [ABSTRACT FROM AUTHOR]

Operational resilience is crucial for navigating the increasing transportation disruption challenges, but building this capability can be expensive and sometimes result in inefficiencies. Meanwhile, firms must prioritize efficiency to remain competitive and profitable. However, it is unclear how and when firms' pursuit of efficiency priority hinders or helps their resilience to specific disruptions. This research uses the theory of constraints to propose that while efficiency priority limits opportunities for improving operational resilience, buffering and bridging strategies lessen this constraint by enabling firms to align efficiency priority with operational resilience objectives. The study hypothesizes that these strategies positively moderate the negative effect of efficiency priority on operational resilience to transportation disruptions. These arguments are tested on primary data from a sample of 199 firms in Ghana using moderated regression analysis and the Johnson-Neyman technique. The results reveal that efficiency priority is negatively related to the disruption absorption dimension of operational resilience but unrelated to its recoverability dimension. Additionally, the study finds that under low conditions of buffering and bridging strategies, efficiency priority has stronger negative associations with both dimensions of operational resilience. In contrast, these relationships are positive under the high conditions of either strategy. These findings contribute to resolving existing debates on the efficiency-resilience link and have important implications for supply chain and business executives, as discussed in this article. [ABSTRACT FROM AUTHOR]

Wireless sensor nodes (WSNs) play an important role in many fields, including environmental monitoring. However, unattended WSNs face challenges in consuming power continuously even in the absence of useful information, which makes energy supply the bottleneck of WSNs. Here, we realized zero-power infrared switches, which consist of a metasurface and two-phase microfluidic flow. The metasurface can recognize the infrared signal from the target and convert it into heat, which triggers the two-phase microfluidic flow switch. As the target is not present, the switch is turned off. The graphene/MoS2/graphene 2D material heterostructure (thickness <2 nm) demonstrates an exceptionally high thermal resistance of 4.2 K/W due to strong phonon scattering and reduces the heat flow from the metasurface to the supporting substrate, significantly increasing the device sensitivity (the displacement of the two-phase microfluidic flow increases from ~1500 to ~3000 µm). The infrared switch with a pair of symmetric two-phase microfluidic flows can avoid spurious triggering resulting from environmental temperature changes. We realized WSNs with near-zero standby power consumption by integrating the infrared switch, sensors, and wireless communication module. When the target infrared signal appears, the WSNs are woken and show superb visual/auditory sensing performance. This work provides a novel approach for greatly lengthening the lifespan of unattended WSNs. [ABSTRACT FROM AUTHOR]

Horticulture is backbone of our country and greater population about 60-65% is directly or indirectly hooked in to it. In the export earnings for the country the role of horticultural produce is vital. In Indiaabout 20-40% of total horticulture produce wasted due to lack of post-harvest management of vegetables which resulted in huge financial loss. Most poor horticulture producers cannot meet the expense of modern technologies.Many metabolic changes occur in vegetables after harvesting that are influenced by disruption of supply of nutrients, water and growth regulators from the parent plant to the harvested vegetables. The overall process leads to postharvest deterioration of the produce. However, the losses are often reduced with adoption of postharvest management and use of processing technology of vegetable crops. [ABSTRACT FROM AUTHOR]

Disruptions in the minerals supply chain play a central role in defining the future stock of minerals; therefore, an in-depth analysis of the outcomes and variables affecting exploration is required. In comparative terms, the exploration of critical minerals and major minerals presents geological and technical differences; thus, exploration budgets for critical minerals should be expected to depart from those observed in other minerals. In this context, the main goal of this paper is to contrast how exploration budgets differ between critical and major minerals when considering a set of key variables. We take a multivariate statistical analysis approach based on firm-level budget exploration data to show four key findings: exploration budgets allocated for critical minerals remain consistently lower than major minerals even when controlling for other factors. Moreover, they present a higher sensitivity to fluctuations in commodity prices. Besides, the investment made by larger companies in critical minerals significantly lags behind those made by junior companies. Additionally, the focus of exploration activity for critical minerals predominantly lies in the earlier stages of the exploration process. We expect these initial results to be used as a step forward to facilitate the discussion about exploration policies and, consequently, the reliability of the supply chain. [ABSTRACT FROM AUTHOR]

In the context of supply disruption, having a resilient supply chain is crucial for the survival and growth of enterprises. It is also essential for gaining a competitive advantage in a turbulent environment. Enterprises need to invest in supply chain resilience to better deal with future uncertainties. This paper constructs a Stackelberg game model with the manufacturer as the leader and the retailer as the follower. We explored how supply chain-related factors under supply interruption risk affect supply chain resilience investment, and studied how to choose supply chain coordination strategies to improve the effectiveness of manufacturer capacity recovery and mutual profits in the context of supply interruption. The study also analyzes the asymmetrical impact of changes in product order quantity, supply disruption probability, and the capacity recovery coefficient on retailer decision-making and the profits of supply chain members. The results indicate that manufacturer profits are negatively correlated with supply disruption probability, while retailer profits are positively correlated with supply disruption probability when product order quantities are low and negatively correlated when product order quantities are high. The supply chain resilience investment is positively correlated with the supply disruption probability. Furthermore, the effectiveness of the cost-sharing contract is closely related to product order quantity and supply disruption probability. When the product order quantity d < α L − c [ 1 − ξ a L + ξ a H ] + s α H ξ + w α L (1 − ξ) k or α H − c [ 1 − ξ a L + ξ a H ] + s α H ξ + w α L (1 − ξ) k < d < α H [ 1 − ξ a L + ξ a H ] (w − c) k , manufacturers can withstand the risk of supply interruption by investing in supply chain resilience alone. But when the product order quantity is α L − c [ 1 − ξ a L + ξ a H ] + s α H ξ + w α L (1 − ξ) k < d < α H − c [ 1 − ξ a L + ξ a H ] + s α H ξ + w α L (1 − ξ) k and α H [ 1 − ξ a L + ξ a H ] (w − c) k < d , the use of cost-sharing contracts is more effective. Additionally, when the sensitivity analysis is conducted, the capacity recovery coefficient positively correlates with supply chain profits in a decentralized mode. However, under the cost-sharing contract mode, it exhibits a U-shaped fluctuation pattern, indicating that the impact of improving capacity recovery efficiency on the profits of both parties is not symmetrical and linear. As ξ approaches 0.5, the profits of manufacturers and retailers decrease. Instead, it undergoes an initial decline followed by a subsequent increase, highlighting the nonlinear benefits of capacity recovery strategies under the cooperative approach. [ABSTRACT FROM AUTHOR]

The global supply chain problem, intensified by events such as the Covid-19 pandemic, natural disasters, geopolitical tensions and trade disputes, has highlighted the need to reassess and reorganize logistics processes. One of the strategic options for enterprises is backsourcing, which enables increasing resilience, improving control and managing risk in response to the global crisis resulting in delays and significant interruptions in supply chains. The aim of the study is therefore to present the essence, the most important determinants and advantages and disadvantages of the backsourcing process, with particular emphasis on the current experiences of European enterprises in this area. Backsourcing as a new trend among European companies can make it easier to understand the strategic adjustments and consequences associated with this business strategy. The conclusions obtained from such research can help companies, politicians and academics in making informed decisions and developing strategies in line with the current market characteristics and dynamics. [ABSTRACT FROM AUTHOR]

Recently, geopolitical conflicts continue to intensify, with profound effects on global supply security of key mineral resources. Considering China's high dependence on foreign iron ore, once there is an import shortage, what impacts will it have on China's macro-economy and environment? Thus, using a computable general equilibrium model, this study introduced import supply disruption behaviour to assess the economy-wide and environmental effects of a large-scale iron ore import shortage on China. Furthermore, two supporting measures of enhancing upstream mining and cancelling steel import tariffs were constructed. The results demonstrated that an import shortage of iron ore will generate a negative effect on China's GDP and household welfare, wherein the higher the disruption degree, the greater the negative effect will be, and the maximum loss of GDP is 5.6 % in 2035. Secondly, total energy demand has reduced obviously, and the largest decline is 8.8 % in 2035. Particularly, the coal demand is most negatively affected by GDP loss, shrinking by up to 11.4 % by 2035. Meanwhile, the oil and gas demands have also dropped to some degree. Thirdly, the import disruption will help to reduce carbon emissions (by up to 9.9 % in 2035), but also have obvious environmental benefits. Finally, both measures will help alleviate the negative socio-economic impacts; however, the overall effects will be better if enhancing upstream mining is complemented by carbon pricing. [ABSTRACT FROM AUTHOR]

Background: Startups often encounter significant challenges in developing sustainable and efficient supply chain operations, particularly when resources are scarce and the business environment is in flux. Purpose: This study explores supply chain risks and resilience strategies within the vibrant startup ecosystem of the IPB (Institut Pertanian Bogor) Startup Innovation Hub in West Java, Indonesia. Design/methodology/approach: Utilizing a mixed-methods approach, the research includes questionnaires, interviews, and analytical techniques such as Failure Mode and Effect Analysis (FMEA) and Analytical Hierarchy Process (AHP) to identify and prioritize risks. Findings/Result: The findings reveal that effective supply chain resilience strategies for startups should focus on maintaining quality, enhancing flexibility and promoting sustainability. The analysis highlights that planning processes are particularly vulnerable, underscoring the need for robust forecasting and improved coordination. Innovation hubs are critical in supporting entrepreneurial growth by providing resources and facilitating networking. To navigate these challenges, the study recommends the implementation of a comprehensive Enterprise Risk Management framework and the cultivation of a risk-aware culture. Conclusion: By continuously refining their risk management strategies, startups can enhance their resilience, promote sustainability, and improve their capacity to manage supply chain disruptions, thereby boosting their growth potential in the innovation landscape. Originality/value (State of the art): This study is distinguished by its focus on the IPB Startup Centre innovation hub the research offers a cross-sectoral analysis of startups within a single innovation hub which allows the study to identify differences in supply chain risks across various startup types, contributing to a more inclusive understanding of risk management in entrepreneurial ecosystems. [ABSTRACT FROM AUTHOR]

Recently, the EU launched a number of initiatives to prevent the weaponising of supply chains and build resilience against interruptions. This article explores attempts to ensure security of supply in three sectors: semiconductors, pharmaceuticals and critical raw materials. The analysis contrasts the measures taken in each sector in order to highlight commonalities and explain differences in approach and impact. This comparison of the EU's three principal policies for mitigating supply chain disruption shows the EU has equipped itself with more policy tools in the area of critical raw materials. The argument put forward to explain this prioritisation is that the weaponisation of critical raw materials has already taken place and risks stoking a political backlash against the EU green deal. Consequently, the evidence shows how the EU's geoeconomic hedging marks a move away from an overriding commitment to free markets as part of the postwar liberal international order. Rather, the EU is experimenting with market‐directing mechanisms involving state aid, stockpiling and regulatory interventions in the name of security of supply. This change illustrates not just the fraying of the liberal international trade order but also the part that the EU is playing in this transformation. [ABSTRACT FROM AUTHOR]

Policy priorities for wood-based bioenergy in North America have undergone fluctuations over time, influenced significantly by the dynamic interplay of sociopolitical factors. Recent years, however, have seen a renewed public interest in wood-based bioenergy in the United States, Canada, and Mexico. This resurgence is driven by fluctuating energy prices and growing concerns about climate change. This review provides an overview of current energy production and consumption scenarios, and highlights critical issues related to the sustainability of bioenergy feedstocks and their economic potential across the three North American countries. Different cross-cutting issues related to public health, climate change, and social acceptance of wood-based bioenergy are thoroughly examined. Within this context, several challenges have been identified, including uncertainties in climate projections, inadequate tree inventories beyond forestlands, deforestation concerns, technological shifts in wood processing, fluctuations in bioenergy demand, and the imperative need for access to reliable markets. Addressing these challenges requires increased research and investment in wood-based energy to enhance energy security, reduce greenhouse gas emissions, and improve economic and social viability in bioenergy production. This proactive approach is vital for fostering a sustainable and resilient wood-based bioenergy sector in North America. [ABSTRACT FROM AUTHOR]

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Purpose: Food supply chain resilience is a critical aspect in ensuring the continuous and reliable flow of food, particularly in the face of disruptions. This study aims to address specific gaps in the existing literature by conducting a bibliometric analysis. The primary objective is to identify key areas of concern and lacunae related to disruptions and resilience within the food supply chain. The study also strives to contribute to the field by developing a comprehensive framework that evaluates the factors influencing resilience. Furthermore, the research intends to propose effective strategies for mitigating and recovering from disruptions, emphasizing the urgency of these measures in light of identified gaps in the current body of literature. Design/methodology/approach: To achieve these objectives, the authors extracted the most relevant papers from Scopus and Web of Science (WoS) databases. The analysis parameters included a comprehensive review of current food supply chain practices and an exploration of trending research topics, such as sustainability, adaptability, circular economy and agility. Notably, the study recognized the pervasive impact of COVID-19 on food supply chain disruptions, with a high occurrence in the literature. Using advanced analytics tools like VOSviewer and Biblioshiny, the research delved into the role of modern technologies, including Industry 4.0, the Internet of Things (IoT), artificial intelligence (AI), machine learning (ML) and blockchain in addressing disruptions and enhancing resilience. Findings: The research reveals a significant impact of the COVID-19 pandemic on food supply chain disruptions, underscoring the critical need for strategies to bolster resilience. Notably, the study identifies the pivotal role of modern technologies (Industry 4.0, IoT, AI, ML and blockchain) in mitigating disruptions and enhancing resilience in the food supply chain. The bibliometric analysis conducted through VOSviewer and Biblioshiny provides valuable insights into research trends and focal areas within the literature. Practical implications: The observed importance of Industry 4.0, IoT, AI, ML and blockchain implies a practical need for integrating these technologies into food supply chain operations. Moreover, the paper discusses strategies for reducing the impact caused by disruptions, providing practical guidance for resilience planning in food supply chains. Researchers can leverage the findings to direct future efforts toward areas with identified gaps and opportunities, fostering advancements in the field and offering practical insights for real-world applications. Originality/value: By amalgamating insights from bibliometric analysis and the developed framework, this study contributes to a holistic understanding of the challenges and opportunities in fortifying the resilience of the food supply chain. The identified factors and strategies offer valuable insights for researchers and practitioners seeking to address disruptions in food supply chains. The study's unique contribution lies in bridging theoretical perspectives with practical applications, enhancing the relevance of business-to-business/industrial supply chain theories. [ABSTRACT FROM AUTHOR]

The omni-channel (OC) approach improves efficiency under normal conditions and fosters resilience when a crisis hits, e.g. COVID-19. We adopt the sequential mixed methods research to conduct a two-stage investigation to explore how OC retailers achieve supply chain resilience (SCR). In stage 1, three key capabilities of OC retailers to foster SCR are identified qualitatively, i.e. collaboration, flexibility, and redundancy, as well as the conceptual model is developed based on the dynamic capabilities view. In stage 2, the roles of key capabilities in fostering SCR in three phases, i.e. preparedness, responsiveness, and recovery, is quantitatively examined, by using partial least squares structural equation modelling to test the hypotheses based on a sample of 225 Chinese OC retailers. The findings indicate that flexibility and redundancy are more significant for responsiveness, whilst collaboration is more crucial for recovery, offering valuable insights for supporting retailers in OC transformation and in setting a capabilities portfolio to withstand supply chain disruptions. [ABSTRACT FROM AUTHOR]

Agricultural and Applied Economics departments in the United States have evolved to serve traditional and new stakeholders under the three‐legged land grant mission: extension, research, and teaching. Substantial shifts in the focus of faculty, sometimes matching demand from stakeholders and sometimes not, raise fundamental questions about their strategic direction. We argue agricultural and applied economics has a mission to solve problems, current and future, by working with physical sciences; specifically, the study of economic problems of the food supply chain and bioeconomy. By focusing on this mission, agricultural and applied economics will provide more value‐added to society and may even improve economics while doing so. [ABSTRACT FROM AUTHOR]

Background: This study presents an integrated multi-product, multi-period queuing location-allocation model for a sustainable, three-level food supply chain involving farmlands, facilities, and markets. The model employs M/M/C/K queuing systems to optimize the transportation of goods, enhancing efficiency and sustainability. A mixed-integer nonlinear programming (MINLP) approach is used to identify optimal facility locations while maximizing profitability, minimizing driver waiting times, and reducing environmental impact. Methods: The grasshopper optimization algorithm (GOA), a meta-heuristic algorithm inspired by the behavior of grasshopper swarms, is utilized to solve the model on a large scale. Numerical experiments demonstrate the effectiveness of the proposed model, particularly in solving large-scale problems where traditional methods like GAMS fall short. Results: The results indicate that the proposed model, utilizing the grasshopper optimization algorithm (GOA), effectively addresses complex and large-scale food supply chain problems. Compared to GAMS, GOA achieved similar outcomes with minimal differences in key metrics such as profitability (with a gap ranging from 0.097% to 1.11%), environmental impact (0.172% to 1.83%), and waiting time (less than 0.027%). In large-scale scenarios, GOA significantly reduced processing times, ranging from 20.45 to 64.78 s. The optimization of processing facility locations within the supply chain, based on this model, led to improved balance between cost (up to $74.2 million), environmental impact (122,112 hazardous units), and waiting time (down to 11.75 h). Sensitivity analysis further demonstrated that increases in truck arrival rates and product value had a significant impact on improving supply chain performance. [ABSTRACT FROM AUTHOR]