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Global food supply chains are unprepared for the increasing number and severity of the expected environmental, social and economic shocks in the coming years. The price-setting process of commodities is directly impacted by such shocks, influencing consumer behavior regarding food choice and consumption. Both the market and advances in precision agriculture drive increased production and consumption. However, there has been a lack of consideration of how consumer behavior could be harnessed to mitigate such shocks through decreased consumption and reduced waste. The SAPPhIRE model of causality was applied to design sustainable and ecologically embedded futures derivatives that could have a role in affecting commodity markets. Multi-agent systems were combined with artificial intelligence and edge computing to provide the necessary functionality. The impact of war in Ukraine was used to exemplify the design of consumer “food choice” derivatives. This resulted in a mechanism to bring aggregated acts of consumer compassion and sustainability to commodities markets to mitigate food security shocks. When implementing food choice derivatives, care must be taken to ensure that consumer food choices are rational and compatible with individual nutritional needs and financial situations, and that the legitimate interests of agri-food businesses are protected.

Food Traceability 4.0 refers to the application of fourth industrial revolution (or Industry 4.0) technologies to ensure food authenticity, safety, and high food quality. Growing interest in food traceability has led to the development of a wide range of chemical, biomolecular, isotopic, chromatographic, and spectroscopic methods with varied performance and success rates. This review will give an update on the application of Traceability 4.0 in the fruits and vegetables sector, focusing on relevant Industry 4.0 enablers, especially Artificial Intelligence, the Internet of Things, blockchain, and Big Data. The results show that the Traceability 4.0 has significant potential to improve quality and safety of many fruits and vegetables, enhance transparency, reduce the costs of food recalls, and decrease waste and loss. However, due to their high implementation costs and lack of adaptability to industrial environments, most of these advanced technologies have not yet gone beyond the laboratory scale. Therefore, further research is anticipated to overcome current limitations for large-scale applications.

Effluent water from food processing retains considerable heat energy after emission from treatment systems. Heat recovery technologies that may be appropriate for implementation in the food processing industry have been widely explored, and selection of the most suitable methodologies has been pursued. A four-stage framework is introduced in this paper to evaluate the potential recoverability of waste heat along with acceptor streams. The systematic approach utilizes thermal and temporal compatibility tools and cost–benefit analyses to determine the ideal heat-recovery equipment for food processing effluent. The applicability of this framework is demonstrated through an industrial case study undertaken in a vegetable canning processing facility. Based on the findings, the framework yields an efficient and optimized heat recovery approach to reducing the total energy demand of the facility.

The COVID-19 pandemic has drawn attention to food insecurity in developed countries. Despite adequate levels of agricultural production, consumers experienced demand-induced scarcity. Understanding the effects on nutrition and the environment is limited, yet critical to informing ecologically embedded mitigation strategies. To identify mitigation strategies, we investigated wheat flour and egg retail shortages in the United Kingdom (UK), focusing on consumer behavior during the COVID-19 lockdown. The 6 Steps for Quality Intervention Development (6SQuID) framework informed the methodology. Mixed qualitative and quantitative methods were used to pinpoint the causes of the shortages, and ecological impacts of consumer behavior were related using survey results (n = 243) and environmental and nutritional databases. This research confirmed consumers’ narrowed consideration set, willingness to pay, and significant reliance on processed foods which indicates agronomic biofortification, breeding strategies, selective imports and improved processed food quality are important mitigation strategies. We identified positive and negative synergies in consumer, producer and retailer behavior and related these to mitigation strategies in support of a circular bio-economy for food production. We found that the substitutes or alternative foods consumed during the COVID-19 lockdown were nutritionally inadequate. We identified the most ecological substitute for wheat flour to be corn flour; and for eggs, yogurt. Our findings also indicate that selenium deficiency is a risk for the UK population, especially to the increasing fifth of the population that is vegetarian. Due to the need to implement short-, medium-, and long-term mitigation strategies, a coordinated effort is required by all stakeholders.

Nowadays, during the current COVID-19 pandemic, consumers increasingly seek foods that not only fulfill the basic need (i.e., satisfying hunger) but also enhance human health and well-being. As a result, more attention has been given to some kinds of foods, termed "

Food quality has recently received considerable attention from governments, researchers, and consumers due to the increasing demand for healthier and more nutritious food products. Traditionally, food quality is determined using a range of destructive and time-consuming approaches with modest analytical performance, underscoring the urgent need to develop novel analytical techniques. The Fourth Industrial Revolution (called Industry 4.0) is progressing exponentially, driven by the advent of a range of digital technologies and other innovative technological advances. “Food Quality 4.0” is a new concept referring to the use of Industry 4.0 technologies in food analysis to achieve rapid, reliable, and objective assessment of food quality. In this review, we will first discuss the fundamentals and principles of Food Industry 4.0 technologies and their connections with the Food Quality 4.0 concept. Then, the most common techniques used to determine food quality will briefly be reviewed before highlighting the advancements made in analytical techniques to assess food quality in the era of Industry 4.0. Food Quality 4.0 is characterized by growing digitalization and automation of food analysis using the most advanced technologies in the food industry. Key aspects of Food Quality 4.0, including, among others, non-destructive fingerprinting techniques, omics technologies and bioinformatics tools, Artificial Intelligence and Big Data, have great potential to revolutionize food quality. Although most of these technologies are still under development, it is anticipated that future research will overcome current limitations for large-scale applications.

Unless strategies are adopted to ensure materials remain in circulation within the economy, the manufacturing sector may be unable to support increasing demand from a growing global population. The purpose of this research is to present a framework for manufacturers to aid in the formulation of ecologically embedded strategy. The framework proposes five steps which integrate corporate, business, operations and sustainability strategy in a holistic manner with operations strategy informing business strategy. Qualitative comparative analysis is implemented to identify the causal characteristics of ecologically embedded products which are then used to select two cases for the application of process tracing (PT). Product case studies indicate a failure to communicate provenance, quality and lifecycle information to consumers, and hence, the slowing or closing of loops as part of a circular economy is not being effectively realised. PT confirms the feasibility of the framework for ecocentric strategy formulation in manufacturing. Manufacturers, policymakers and investors may use this framework to leverage the benefits of ecological embeddedness to enable continued growth and future-proofing.

Circularity in manufacturing is critical to reducing raw material usage and waste. Ecological embeddedness examines circular relationships intended to benefit both economic actors and the natural environment. By understanding circular relationships in the value chain, manufacturers can formulate strategies that are eco-effective. This work develops and validates an original circularity tool to measure the ecological embeddedness of manufacturers using exploratory and confirmatory factor analysis. The tool is tested on process manufacturers selling products in the United Kingdom. The three main results are that the tool is useful and comprehensive (87% of users), enables simple comparisons with competitors, and identifies weaknesses in strategies related to the five dimensions connecting manufacturers, consumers, and the environment: understanding, realising, utilising, negotiating, and reclaiming. Manufacturers may use the tool to improve their ecological embeddedness, and sector-based circularity levels may be established for policy development. The novelty of the tool is in the use of ecological relationships to support achievement of a circular economy.

Over the past few years, there has been growing research interest in the Internet of Things (IoT). Both academics and industrialists have developed and deployed IoT-based applications for transparency and efficiency within the food sector. Some of the IoT applications that have been successfully implemented are related to tracking, tracing and monitoring food products and other resources, which contributed to improved efficiency as well as better traceability. This chapter focuses on the utilization of IoT technologies in the food supply chain (FSC) specifically post-farm gate until food reaches the retailer’s shelves. It presents IoT applications that have been successfully developed and deployed in FSCs, the pros and cons of IoT implementation and finally, it describes future trends such as elements of Industry 4.0, blockchain, intelligent packaging, and artificial intelligence.

Food Logistics 4.0 is a term derived from Industry 4.0 focusing on all the aspects of food logistics management based on cyber-physical systems. It states that real-time information and the interconnectivity of things, supplemented with novel technologies will revolutionise and improve the way food logistics is carried out. It has tremendous potential in terms of bringing transparency, swift delivery of food at reduced cost, flexibility, and capability to deliver the right quality product at the right place and at the right time. This paper discusses the vital technologies within Food Logistics 4.0 and the opportunities and challenges in this regard. It focuses primarily on food logistics, including resource planning, warehouse management, transportation management, predictive maintenance, and data security. Internet of Things, Blockchain, Robotics and Automation and artificial intelligence are some of the technologies discussed.

Circular economy has gained momentum since the 1970s as a regenerative alternative to the traditional linear economy. However, as the circular economy has gone mainstream, circularity claims have become fragmented and remote, consisting of indirect contributions, such as the life extension of other products and the use of waste as feedstock, without addressing the actual cause of waste. The present study aims to identify the strategic motivations of manufacturers participating in the circular economy and the corresponding relationship to ecological embeddedness. This paper explores the circular economy in manufacturing through existing products on the market and their relationship to eco-design by considering the product, packaging, and its production. Legitimacy is found to be a decisive factor in whether the type of circular economy strategy manufacturers adopt yields ecological benefits. The results from the case study of products clearly indicate the superiority of ecological embeddedness, as a form of circularity supporting strong sustainability. Finally, a novel template is proposed to support the implementation of ecological embeddedness in manufacturing.

A new means of considering the progress of a manufacturer towards sustainability is presented as a tool for strategic decision makers such as top level management. All three of the sustainability dimensions are considered simultaneously. Initially, the current state in each of the three sustainability dimensions is determined and fitted into the proposed hierarchy. In the next step, stakeholders are considered to identify the sustainability dimension that represents the most impact for progress up the hierarchy. Global Reporting Initiative (GRI) sustainability report data is used to rank a sample of manufacturers on the proposed hierarchy. Results are compared to those given by the GRI materiality matrices of the selected manufacturers.

In today’s consumer driven society, manufacturers can exert unparalleled environmental, economic and societal influence, either for good or bad. The recent uncontrolled industrial growth within both developed and developing countries has resulted in significant damage to the environment in an attempt to sustain economic growth at any cost. In response, global sustainability initiatives, due to inherent and inevitable economic barriers, have often adopted a ‘Less Bad’ approach, which is based on meeting the demands of regional and national legislation and incremental efficiency measures. The benefits of such initiatives are now perceived as too small and too slow to tackle the needs of tomorrow. In this context, when ‘Less Bad is Not Good Enough!’, what should our aspirations and goals be beyond the scope of current sustainability strategies, methods, tools and technologies ? At the heart of the proposed paradigm shift through ‘Net Positive Manufacturing’ is the ability of manufacturing businesses to adopt a restoring, self-healing, and regenerative approach and simply to put back more into society and the environment than what they take out. This radically novel vision for future industrial development presents a number of methodical, organisational, technological, as well as social and ethical research challenges which are explored in this paper.

Smart production innovations are set to revolutionise manufacturing, yet little is known about their impact on sustainability. This chapter focuses on the evaluation of production innovations related to Industry 4.0 that may make products and processes more sustainable or less sustainable based on the application in different production systems. A review of current literature and use of sustainability hierarchies finds that, in the environmental dimension, mass production would benefit most from the introduction of a pull principle whereas for mass customization, machine to machine communication is recommended. The use of augmented reality is indicated as an asset to the sustainability of direct digital manufacturing. Results including the environmental, social and economic dimensions of sustainability are confirmed using value analysis.

One of the most prominent challenges commonly acknowledged by modern manufacturing industries is “how to produce more with fewer resources?” Nowhere is this more true than in the food sector due to the recent concerns regarding the long-term availability and security of food products. The unique attributes of food products such as the need for fresh perishable ingredients, health risks associated with inappropriate production environment, stringent storage and distributions requirements together with relatively short post-production shelf-life makes their preparation, production and supply considerably different to other manufactured goods. Furthermore, the impacts of climate change on our ability to produce food, the rapidly increasing global population, as well as changes in demand and dietary behaviours both within developed and developing countries urgently demands a need to change the way we grow, manufacture and consume our food products. This paper discusses a number of key research challenges facing modern food manufacturers, including improved productivity using fewer resources, valorisation of food waste, improving the resilience of food supply chains, localisation of food production, and utilisation of new sustainable sources of nutrition for provision of customised food products.