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Small and medium enterprise (SME) manufacturers are impeded from participating in sustainability initiatives using new technologies due to the high cost and the lack of clarity on where to start. The integration of low-cost digital solutions has enabled SME manufacturers to adopt Industry 4.0 technologies to support operations. However, using low-cost technologies to address sustainability challenges is underexplored. This article addresses three key research questions: What digital solutions do SMEs need to address industrial sustainability challenges? To what extent can existing low-cost digital solutions be used to address industrial sustainability challenges? How should new digital solutions for developing greater sustainability be prioritised? Three main tasks were conducted. Initially, a new sustainability-focused sub-catalogue was created using an existing catalogue of low-cost solution areas for manufacturing. Secondly, a workshop with 17 participants was used to identify the top ten priority solution areas, with process monitoring, energy monitoring, and quality inspection at the top. Lastly, existing low-cost digital solutions within the top ten priority areas were evaluated to identify how they could contribute to lean manufacturing. Predominantly existing solutions could contribute to waste or use reduction in lean manufacturing. This study provides a foundation for the future development of low-cost solutions for sustainability by indicating manufacturers' key priority areas and outlining how existing solutions could be adapted to support waste reduction. [ABSTRACT FROM AUTHOR]

This study develops an integrated classic-interval-valued fuzzy TOPSIS approach to assess performance of different departments of a hospital. Although the concept of performance measurement has been discussed in previous studies, its concurrent integration with lean, agile, and green strategies is less investigated. Therefore, this research has been completed in three linked phases as follows. Firstly, the critical metrics of lean, agile, and green strategies are extracted from previous literature. Secondly, a fuzzy TOPSIS approach is developed to compare three departments of a hospital using the investigated metrics of previous phase. According to the obtained results of this phase, the eye, and emergency departments are the best and worst departments, respectively. Next, the obtained results are checked by an interval-valued fuzzy TOPSIS approach for further investigation in the third phase. Similarly, approving the previous results, eye department provides the best performance according to the second approach. As a contribution, this research showed that different MCDM techniques might provide a same result. Furthermore, the developed methodology can be applied to assess and compare the performance of different departments. [ABSTRACT FROM AUTHOR]

This paper presents an integrated framework that combines the strengths of three relevant business excellence philosophies: Theory of Constraints, Lean, and Six Sigma (TLS). The integrated framework increases the TLS Orientation of a firm when management employs a unique growth-oriented mindset, adopts global measurements, and implements an integrated continuous improvement methodology. We discuss how a small-to-medium enterprise (a real but disguised manufacturing firm in India) implemented the proposed framework by employing the cognate key concepts and tools in an integrated manner, and improved its business excellence in terms of improved flow, reduced waste, and increased process capability, which, in turn, strengthened its financial performance. We conclude the paper by discussing the limitations of the study (e.g. an application in a small business) and providing future research directions to further develop its underlying theory and validate the proposed TLS orientation construct by means of case studies and questionnaires. Some initial results are reported. [ABSTRACT FROM AUTHOR]

In response to the global surge in industrial competition, organizations have increasingly embraced lean green practices as an approach to identify and eliminate non-value-added waste in manufacturing processes, while ensuring sustainable practices. This research extends current literature on lean green practices in manufacturing by a) exploring current implementation of lean green practices in the automotive components manufacturing industry and b) examining the challenges encountered within its supply chain processes when implementing the practices. The evaluation utilizes the SCOR model, and a focus group of automotive components manufacturing professionals in the UK. The findings reveal that an average level of implementation of lean green practices, offering benefits such as enhanced productivity, cost reduction, and improved competitive advantage. Implementation challenges were found to be particularly faced in the sourcing and manufacturing (MAKE) processes of the supply chain, due largely to component outsourcing issues, and inefficiencies in the conversion of raw materials into finished products to meet supply chain demands. [ABSTRACT FROM AUTHOR]

he literature on Lean Manufacturing has predominantly emphasized mass production and batch systems, leaving a considerable knowledge gap regarding the challenges and considerations specific to implementing Lean principles in Engineer-to-Order (ETO) manufacturing contexts. This paper addresses this gap by exploring the interaction between Project Cost Deployment (PCD), a tailored method for ETO environments, and the digital technologies of Industry 4.0. The research aims to identify the synergies between Lean Manufacturing and Industry 4.0, investigating how their integration can enhance productivity, quality, and competitiveness in the manufacturing industry. While Lean Manufacturing is adept at addressing loss reduction and elimination across various industrial contexts, Industry 4.0 leverages digital technologies to revolutionize manufacturing operations and enable more efficient and intelligent production systems. The paper demonstrates the effectiveness of the PCD method through an industrial application involving an international company specializing in customized paper converting machinery and lines. By utilizing PCD in conjunction with Industry 4.0 technologies, analysts were able to uncover hidden losses and quantify them from an economic perspective, while also evaluating the potential impacts of improvement activities. The results highlight the significance of synergizing Lean Manufacturing and Industry 4.0 for ETO environments, offering valuable insights into how digital technologies can be effectively integrated into Lean principles. [ABSTRACT FROM AUTHOR]

In the production planning and control field, assessing the performance of a manufacturing system is a multi-dimensional problem in which neglected dimensions may lead to hidden inefficiencies and missed opportunities for gaining a competitive advantage. In this paper, a new data formalization method is proposed to model a manufacturing system by simultaneously considering value creation and technical, economic, and environmental performance. The proposed method combines the principles of Material Flow Analysis and a new data structure that exploits some characteristics of the Multi-layer Stream Mapping and the Enterprise Input-Output methods to obtain a data-driven approach, typical of Industry 4.0. The proposed method can deal with complex systems and allows to consider also non-value-added activities such as transport and inventories. The implementation of the method and its advantages are shown through a numerical example based on a recycled plastic pipeline manufacturing system. The method shows positive synergies and mutual benefits between sustainable production, lean principles, and data-driven approaches and technologies of Industry 4.0. The method improves the alignment of environmental, technical, economic, and value creation information between operational and strategical levels, removing redundancies in data collection, conditioning, and processing activities, thus reducing partial information, hidden risks and opportunities, and inconsistencies. [ABSTRACT FROM AUTHOR]

The disappearance of trade borders leads to market expansion and competition intensification. The survival of businesses in global competition depends on offering quality products to customers at affordable prices. Reducing costs allows the business to make a profit from the lower price offered to customers. The lean production approach, which increases efficiency and reduces costs by eliminating unnecessary resource use in production, emerges as a critical production management philosophy. In this study, inappropriate situations at the focus of lean production are defined as corporate risk factors and the effects of these factors are observed. The data collected from Bilecik-centred ceramic production facilities determines the risk factors for which YÜ seeks solutions and defines the importance weights of the factors. The data was obtained from employees' linguistic evaluations based on their knowledge and experience. Trapezoidal spaced type-2 fuzzy sets based on fuzzy logic theory have been used to reduce information loss in evaluations. Literature review and employee experiences in the ceramics industry have highlighted ten critical risk factors that lean manufacturing seeks to solve. Trapezoid interval type-2 fuzzy calculations of risk factors whose importance weights are evaluated linguistically by experts define the ranking values of ten risk factors in the range of 0.1274-0.1554 and do not indicate a significant difference between the factors. This situation arises from the preliminary evaluation of 23 factors and the preselection of 10 factors as critical factors. The sample application based on three different facilities producing ceramics explains the applicability of lean production tools according to the compliance of operating conditions and employee awareness with risk factors. Facilities are evaluated linguistically according to risk factors, and the most suitable facility for lean production applicability is determined by the fuzzy VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) decision-making method based on trapezoidal spaced type-2 fuzzy sets. [ABSTRACT FROM AUTHOR]

This paper presents an analysis of the buffer allocation problem on a serial production line with five workstations and four buffer locations with unreliable operating conditions. Originally, this work was used as an optimization criterion to maximize the Overall Equipment Effectiveness indicator; said indicator is used to evaluate the performance of the processes in Lean Manufacturing; a comparison of the generated solution configurations is made with respect to other optimization criteria such as the minimization of the average work-in-process inventory and the maximization of Throughput. Three case studies involving the production line operating in a balanced and unbalanced manner are examined. The evaluation method used in this document is simulation. On the other hand, an exhaustive enumeration of the analyzed solution space is made. The results report the optimal allocation of buffers in the case studies and the differences that exist in the distribution of these in the optimization criteria investigated. [ABSTRACT FROM AUTHOR]

This article deals with the maintenance process in the selected mining company. It investigates the maintenance process over digitalization and optimization as a pillar of Industry 4.0. The main goal of the research in this article was to design an effective maintenance system for the material and spare parts. The object of the research was the mining company in Slovakia that focuses on the maintenance process of mining machines in the frame of a wide spectrum of mining activities. Economic quantitative methods were used in solving the research, observation for spare parts, a graphical method for spare parts layout, and software application. The relevance of this scientific research was related to the innovation of the maintenance process with large barriers. We suggested a document, a record of spare parts, a flow chart for supply, a model of a maintenance system, and a model of controlling. The conclusions of this mining company can be recommendations for other mining companies around the world. [ABSTRACT FROM AUTHOR]

The global aluminium industry faces a serious challenge in reducing greenhouse gas emissions as the demand for aluminium continues to increase. The aluminium industry has a responsibility to streamline its energy consumption, especially in the production process. There have been many studies discussing energy consumption performance in the industry. However, most of them only discuss energy saving partially, without involving energy consumption with various items produced. This paper proposes an energy savings measurement in the manufacturing industry. An energy baseline consumed per unit volume has been developed using the equivalent volume method with an energy management control system (EMCS). The study takes a case example from the automotive--aluminium component industry. The steps taken in the study are: examining the production process, converting the production volume to equivalent, calculating the energy consumption ratio, developing an energy baseline, simulating the savings performance, and then proposing an EMCS with key performance indicators (KPI) for sustainability. The results show that the development of a baseline using the ratio of energy and an equivalent volume of production gives a better data correlation with an R² value close to one. From the baseline, the bestdemonstrated performance (BDP) can be used as a reference to set energy goals. Furthermore, the data and the deviant deleted have the same baseline value. They differ in energy reduction goal percentages. The practical application of this study is not only in the manufacturing industry but in other industries as well, such as building management. This study contributes to energy savings achieved with EMCS. [ABSTRACT FROM AUTHOR]

This study aims to reduce the delivery time by applying value stream mapping techniques in the commercial mirror product group of a company operating in Bursa, producing automotive parts. For this purpose, the product family was first selected by ABC analysis, a time study was conducted to determine station cycle times, and stocks were counted. The current situation map was drawn, and the points where stocks and transportations were intense were determined. NVA/VA analyses were performed to differentiate the value-added and non-value-added process steps, and a spaghetti diagram was drawn to determine the walks in the assembly line. The future situation map was drawn by considering the kaizen suggestions developed as a result of the analyses made. With this study, the company's delivery time was shortened by 52%. In addition, an ideal situation map has been drawn for an ideal scenario where the system has unlimited possibilities, and it has been shown that the delivery time can be shortened by 93% in such a case. [ABSTRACT FROM AUTHOR]

Copyright of Ciencia e Ingenieria Neogranadina is the property of Ciencia e Ingenieria Neogranadina and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper introduces a pioneering model designed to evaluate the readiness and maturity of smart-lean manufacturing by seamlessly integrating sustainability principles. In the dynamic landscape of Industry 4.0, where digitalization and connectivity redefine manufacturing paradigms, the convergence of smart and lean principles emerges as a powerful strategy. However, existing frameworks often lack a comprehensive approach that incorporates sustainability. Our model addresses this gap, systematically assessing organizations' smart-lean manufacturing capabilities and their alignment with sustainability goals. The proposed model employs a novel algorithm to assess the relationship between the maturity of smart and lean tools and their economic, social, and environmental contributions. Through a carefully designed process, decision-makers determine correlation ratings, evaluate tool maturity, and calculate contribution gaps, providing a roadmap for prioritized implementation. To illustrate the model's applicability, an anonymous case study is presented, showcasing the step-by-step application of the algorithm. This contribution is significant for enterprises seeking operational excellence and competitive advantage in the Industry 4.0 era. By incorporating sustainable lean principles into the smart-lean framework, our model guides organizations in enhancing their capacity development and making informed investment decisions. This paper not only advances academic discourse but also offers a practical tool for industry practitioners navigating the complexities of smart-lean manufacturing, ensuring a sustainable and environmentally responsible approach in the pursuit of long-term performance improvements. [ABSTRACT FROM AUTHOR]

Copyright of Exacta is the property of Exacta - Engenharia de Producao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In general, this research aims to analyze and determine the effect of the application of lean manufacturing which is focused on eliminating waste and the influence of the physical work environment on labor productivity. This research used primary data through the distribution of questionnaires conducted to employees of Company X with a total of 230 respondents from sections in departments directly related to research variables. Data analysis methods using the Structural Equation Model (SEM) measured by the Partial Least Square (PLS) model, and data processing using SmartPLS 4.0 Software. Based on the results of calculations, data analysis shows that the application of principles related to lean manufacturing, which in this research is focused on the process of eliminating waste has a positive effect on the productivity of the workforce. The creation of a physical work environment that meets standards also positively affects the productivity of the workforce. [ABSTRACT FROM AUTHOR]

Copyright of Brazilian Journal of Production Engineering / Revista Brasileira de Engenharia de Produção is the property of Brazilian Journal of Production Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

For more than four decades, Lean Manufacturing (LM) has delivered in terms of waste reduction, productivity and sustainability for the benefit of manufacturers, customers and society at large. In the present era of Industry 4.0 (I4.0), the integration of physical and digital systems is providing huge scope for enhancing the performances of conventional lean tools and practices. Although recent literature has emphasized the integration of lean and Industry 4.0 as Lean 4.0, the mode of integration and basis for selecting technologies need to be explored more. The present paper aims to address this gap and presents a novel Tool-Input-Process-Output (TIPO) approach in which 'Inputs' required for the implementation of conventional lean tools are identified and mapped with core characteristics of I4.0 technologies to develop the 'Process' for the integration. Exemplified on three prominent lean tools; Just-In-Time (JIT), Jidoka and Heijunka to illustrate the proposed framework. [ABSTRACT FROM AUTHOR]

Copyright of Revista Foco (Interdisciplinary Studies Journal) is the property of Revista Foco and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Foco (Interdisciplinary Studies Journal) is the property of Revista Foco and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: The aim of the research was to present the impact of the use of selected Lean Manufacturing tools on the failure rate of production machines and devices on the analyzed production line. The research was carried out on the basis of data from an electrical industry production plant. Design/methodology/approach: The article presents a statistical analysis of the impact of the implementation of Total Productive Maintenance on the production process - a case study. Findings: The obtained results allowed to present the scale of changes taking place in the production process, confirming at the same time the positive impact of the implementation of the TPM tool on the duration of failure and indicators (Mean time to Repair - MTTR and Mean time to Failure - MTTF). Social implications: The analysis carried out can increase awareness of the importance of the impact of Lean Manufacturing on the production process. Originality/value: The article contains an original statistical analysis, which indicates a reduction in the failure rate of production machines and devices as a result of the implementation of selected Lean Manufacturing tools. [ABSTRACT FROM AUTHOR]

Copyright of GeSec: Revista de Gestao e Secretariado is the property of Sindicato das Secretarias e Secretarios do Estado de Sao Paulo (SINSESP) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The article presents the results of a survey on the use of methods and tools of the Lean Manufacturing (LM) concept by middle management in an automotive industry company in Poland. The conducted study will allow to assess the management's awareness in terms of knowledge of LM solutions, their use in everyday work, the impact of LM tools on improving the organization of production and occupational health and safety, and involvement in improvement projects. Knowledge, commitment, and support for employees are important factors in shaping the Lean culture in the company. The middle management, who manages the work in individual departments of this company, through appropriate attitudes and behavior builds the awareness of the entire team. The article ends with conclusions that can be treated as a form of guidance for top management to take improvement actions. Design/methodology/approach: The study of employees' awareness of the use of methods and tools of the LM concept was carried out using the survey method. The research group consisted of middle management in the automotive industry company in Poland (respondents indicated by top management). To achieve the assumed goal, a four-stage research methodology was developed. In the first stage, a questionnaire was developed, which concerned three areas: OSH, LM methods and tools, and implemented management systems. For the purposes of the study and the assumed goal, one research area was taken into account, related to the use of LM methods and tools and the awareness of the middle management staff in this area. In the second stage of the research, the research sample was characterized. In the third stage, the minimum number of respondents was determined (using the PQStat tool). In the fourth stage, the results obtained were analyzed and conclusions were formulated, which may serve as guidelines for managers responsible for continuous improvement of processes in this company. Findings: The conducted research made it possible to assess the awareness of the middle management regarding the use of LM solutions in the enterprise. The assessment of awareness was a subjective assessment resulting from the analysis of each survey question. Based on the conducted research, it was found that the vast majority of middle management has knowledge and high awareness in the field of continuous improvement, in the form of using the methods and tools of the LM concept in everyday work. Employees are aware of the impact of these solutions on various areas of activity (quality, safety, organization of production), engage in improvement projects, and identify and solve problems, but also see the difficulties associated with the implementation of LM methods and tools. The knowledge and awareness of middle management translate into the attitudes and behavior of production employees, which affects the culture of continuous improvement of the company. Based on the research results, areas requiring improvement were also identified. Research limitations/implications: The conducted survey research was limited to assessing the awareness of a specific group of respondents, i.e. middle management. The direction of further research should focus on assessing the awareness of production employees to obtain more complete information related to shaping the Lean culture in this company. Practical implications: The conducted research may provide important information for the management staff on the awareness of middle management in the application of solutions of the LM concept in this company. The research results also allow to identify areas requiring improvement actions. Social implications: The article discusses issues related to the awareness and involvement of employees that shape the culture of continuous improvement in organizations. Originality/value: The analysis of the literature for the years 2018-2023 showed that there is a research gap regarding the assessment of awareness of the LM concept among employees of automotive companies. Therefore, the article refers to the study of the awareness of middle management in the use of LM methods and tools in the automotive industry - in a large company in Poland. [ABSTRACT FROM AUTHOR]

Purpose: The article presents the results of research on the assessment of awareness of middlelevel employees in the field of their implementation and use in a company from the automotive industry. Methodology: Assessment of the management staff's awareness of the implementation and use of management systems in the automotive industry using a survey. Assessment of the management staff's awareness of the implementation and use of management systems in the automotive industry using a survey. The survey was addressed to middle management (90 employees). The number of respondents was indicated by top management. A four-stage research methodology was developed, including: development of survey questions (first stage), determination of the research group (second stage), determination of the minimum number of respondents using the PQStat tool (third stage), analysis of survey results (fourth stage). Findings: The results of the survey research obtained in the work can be considered as a contribution to the statement that the awareness of the mid-level staff regarding the management systems used in the surveyed company, the implemented systems supporting the optimization of all production and production-related processes. Determining the type of impact of the implementation of management methods and tools used in the company affect the improvement of OHS, determine the type of impact of the implementation of management methods and tools used in the company that improves the organization of production, how employees acquire knowledge and skills in the field of OHS Management System and what are the most effective sources of knowledge should be a priority. Making employees at all levels, including the middle level, aware of the importance of training and with what frequency it should take place, as well as the involvement of middle-level employees in the implementation of management systems, has a significant impact on the employees' work efficiency. Research implications: The survey research was limited to examining the awareness of only one group of respondents (mid-level management) of the surveyed enterprise. This survey can also be conducted among other employees of the enterprise in order to obtain full information on the use of management systems in the audited entity. This industry is developing intensively and there is a need for greater awareness of employees about the applicable management systems. Practical implications: The conducted research may provide important information for the management staff in terms of improving competences within the applied management systems. Originality: The purpose of the publication was to present survey results concerning the assessment of awareness among middle-level employees regarding the implementation and utilization within a company in the automotive industry. In today's business world, the research problem holds significant importance. This industry is developing intensively and there is a need for greater awareness of employees about the applicable management systems. [ABSTRACT FROM AUTHOR]

Copyright of GeSec: Revista de Gestao e Secretariado is the property of Sindicato das Secretarias e Secretarios do Estado de Sao Paulo (SINSESP) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Lean manufacturing principles are being increasingly employed in off-site construction (OSC) with the primary objective of reducing waste and improving production efficiency. This is performed using several tools and technologies largely influenced by the concept of Industry 4.0 (I4.0) that sets fundamental design principles for technological development. However, the recent introduction of the concept of Industry 5.0 (I5.0) extends the I4.0 focus toward wider economic, social, and environmental implications. This study aims to evaluate extant literature employing lean tools and concepts in OSC toward the realization of I4.0 and I5.0 design principles, identifying key research themes and gaps and suggesting future directions. A mixed-method review was employed to first identify highly relevant literature using a bibliometric search. The identified references were then analyzed using qualitative content analysis through the lens of I4.0 and I5.0. Results highlight several interactions between identified lean-OSC tools and concepts and I4.0 and I5.0 design principles, signifying the power of these tools/concepts in meeting multiple industry objectives. The review also identifies a significant overlap between the resilience principle in I5.0 and many of the I4.0 principles, emphasizing resilience as an integrative concept of technological principles. Finally, several research gaps relating to the social and environmental aspects of lean-OSC research were identified, including research on mental health, assistive technologies, and design for end-of-life. Practitioners can benefit from understanding the capabilities of lean-OSC tools, such as process simulation and BIM, in addressing a wide range of design principles of I4.0 and I5.0. This paper also identifies the importance of exploring underexplored themes in the literature, particularly the mental health of workers in off-site construction environments. As the industry continues to evolve, construction professionals should consider incorporating new technologies and methodologies to monitor and support the mental wellbeing of their workforce. There is significant potential for improvement in adopting human-centered technologies, like collaborative robots and exoskeletons, which can empower workers and enhance workplace diversity and inclusion. This involves exploring innovative technologies that facilitate cross-lingual communication, gesture recognition, and intention prediction, providing opportunities for individuals with different languages, education levels, and disabilities to participate effectively. Furthermore, the research highlights the need to concentrate on environmental sustainability, specifically the integration of circular economy concepts into off-site construction practices. By examining the potential of lean principles in promoting end-of-life design considerations, such as design for disassembly and material passports, construction professionals can bridge the gap between OSC and circular economy concepts, creating a more sustainable construction industry. [ABSTRACT FROM AUTHOR]

Copyright of Al Bashaer Economic Journal is the property of Al Bashaer Economic Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The Integral Ergonomic-Value Stream Mapping (Ergo-VSM) methodology is introduced in this study, which is tailored for the metal-mechanic sector and aims to assess the operational and ergonomic conditions of production processes. The methodology is designed to identify ergonomic risks and propose an improvement plan to increase productivity by integrating ergonomic measurement instruments aligned with official standards and lean manufacturing tools such as VSM and Kaizen. The study, which was conducted in a metal-mechanical MSME (micro, small and medium enterprises), resulted in an 11.8% overall improvement in psychosocial risk factors, a 4.4% increase in productivity with a 1.96-h reduction in cycle time, and a 20% decrease in reported quality rejections. Notably, the study shows that the Integral Ergo-VSM can be implemented in a variety of organizational contexts, ensuring adaptability without jeopardizing the methodology's core objectives. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Engineering Management / Gongcheng Guanli Xuebao is the property of Journal of Engineering Management Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Universal Excellence (JUE) / Revija za Univerzalno Odličnost (RUO) is the property of Fakulteta za Organizacijske Studije v Novem mestu and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Riwayat: Educational Journal of History & Humanities is the property of Riwayat: Educational Journal of History & Humanities and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: This paper presents Quick Changeover Design (QCD), which is a structured methodological approach for Original Equipment Manufacturers to drive and support the design of machines in terms of rapid changeover capability. Design/methodology/approach: To improve the performance in terms of set up time, QCD addresses machine design from a single-minute digit exchange of die (SMED). Although conceived to aid the design of completely new machines, QCD can be adapted to support for simple design upgrades on pre-existing machines. The QCD is structured in three consecutive steps, each supported by specific tools and analysis forms to facilitate and better structure the designers' activities. Findings: QCD helps equipment manufacturers to understand the current and future needs of the manufacturers' customers to: (1) anticipate the requirements for new and different set-up process; (2) prioritize the possible technical solutions; (3) build machines and equipment that are easy and fast to set-up under variable contexts. When applied to a production system consisting of machines subject to frequent or time-consuming set-up processes, QCD enhances both responsiveness to external market demands and internal control of factory operations. Originality/value: The QCD approach is a support system for the development of completely new machines and is also particularly effective in upgrading existing ones. QCD's practical application is demonstrated using a case study concerning a vertical spindle machine. [ABSTRACT FROM AUTHOR]

Purpose: Organizations have released the importance of lean manufacturing practices (LMPs) and total quality management (TQM) in enhancing competitiveness. However, the implementation of LMPs and TQM becomes more complex when discerning the environmental sustainability position. The complexity stems from the fact that LMPs and TQM are more intricate because of cultural differences. Thus, this study aims to tackle the aforementioned phenomenon by investigating the impact of LMPs and TQM on environmental sustainability moderated by quality culture. Design/methodology/approach: A survey was distributed among small and medium enterprises (SMEs) in Jordan; thus, 315 valid responses were received. Partial least square structural equation modelling was used to analyze the data and test hypotheses. Findings: The findings showed that environmental sustainability was significantly impacted by all the LMP practices except Kanban and all the TQM practices except statistical process control. Moreover, quality culture significantly and negatively moderated the relationship between TQM and environmental sustainability. However, the influence of LMPs on environmental sustainability was not significantly moderated by quality culture. Practical implications: This study has implications for policymakers in SMEs, supply chain managers and academics regarding the importance of LMPs and TQM systems for implementing environmental sustainability and the role of quality culture. Social implications: This study provides guidelines for decision-makers on the pathways that enable them to sustain the environment to safeguard the natural ecosystem and natural resources for upcoming generations. Originality/value: The originality of this study stems from the alignment of LMPs and TQM in enhancing environmental sustainability, taking into consideration the role of quality culture in SMEs, where previous studies failed short to investigate this phenomenon. [ABSTRACT FROM AUTHOR]

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The article presents the results of an analysis of the impact of selected Lean Manufacturing tools on the number of failures occurring on the example of a production plant from the metal industry, specializing in the production of welded pipes. Reducing the failure rate of individual devices on the production line is one of the key factors determining the efficiency of the production process and the quality of the manufactured product. In order to reduce unplanned machine downtime caused by failures, various techniques are introduced to reduce them, for example TPM (Total Productive Maintanance). The purpose of this article is to conduct a statistical analysis to assess the impact of TPM implementation on the number of reported failures on one of the production lines.

Introduction. In modern conditions, the fundamental basis of construction is the process of creating value of the capital construction object for the consumer. The article examines the process of creation of capital construction projects as a value chain and substantiates the influence of digital transformation on the development and dynamics of this chain. The analysis of modern research on the impact of digitalization on value chains is carried out, the results of the analysis are projected onto the processes of digital transformation of the construction ecosystem. The main existing problems of project implementation efficiency in construction, including from the position of the actual task of increasing labour productivity, as well as the prospects for digitalization of construction from the position of value chains using the tools of the lean manufacturing concept are identified. A mechanism for implementing the concept of lean manufacturing in construction using digitalization tools is proposed. Based on the results of the financial and economic analysis, the effects of the implementation of the proposed measures that affect the timing of the implementation of the IСP, cost and quality parameters are calculated. The proposed approach contributes to the creation of a database on the occurrence and ways to solve problems in business processes, as well as creates opportunities for continuous training and motivation of employees, which is fully consistent with the need for continuous improvement in lean construction.Materials and methods. The methodological basis of the study is the concept of lean construction in relation to aspects of the transformation of the digital construction ecosystem. In addition, systematic and situational approaches, methods of qualitative, comparative and factor analysis of the results of foreign and domestic experience were used in the study. The tools of investment analysis and financial and economic modelling were used to analyze the results of the implementation of lean construction tools within the framework of investment and construction projects.Results. The authors propose a practical approach to the implementation of the concept of lean production using digitalization tools in the activities of a construction company. The analysis of the results of the introduction of digital tools based on the concept of lean construction in Russia made it possible to quantify the losses in the framework of the implementation of investment and construction projects, as well as to calculate the effects of the implementation of the proposed solutions.Conclusions. The study recommends participants of the construction ecosystem to implement the concept of lean construction in integration with digital technologies in accordance with the proposed practical approach to increase labour productivity and the efficiency of investment projects implemented.

Lean manufacturing is a corporate strategy that focuses on continually improving all processes in the production environment by reducing waste and costs. The implementation of lean manufacturing systems will always begin within the existing facility layout. Therefore, the arrangement of the facility has a tremendous impact on the company’s development and space utilization. This research addresses possible research gaps related to the industry's requirement for successful lean manufacturing and space utilization. In this research, an integration of lean techniques and facility layout planning has been used to optimize the workshop operation by implementing 5S and Systematic Layout Planning to rearrange machines, which eliminated waste caused by unnecessary motion. As a result, out of two alternatives of facility layout proposed, the process efficiency is improved from 53% to 66%. An efficient facility layout helps production schedules run more smoothly while minimizing costs and enhancing space utilization. It has contributed to create a safe and healthy work environment. The research is limited to optimizing space utilization and attempts to eliminate excessive motion of employees and equipment in the machining shop of a mechanical workshop. The need to close the implementation gap for lean and space utilization will make a substantial contribution to long-term industrial sustainability.

The business world is becoming more competitive. Therefore, it is crucial to increase the flexibility of production by decreasing the time used in the processes of preparing the production lines for new items’ production, reducing changeover and setup times. This paper presents a case study where the main goal is to reduce the setup time of welding robots. Single Minute Exchange of Die (SMED) was implemented, using other tools such as the Spaghetti Diagram, ERCS Analysis (Eliminate, Rearrange, Combine, Simplify), Gemba Walk, Standardized Work, Flowcharts, and Pareto Diagram. The setup time decreased by 36% in the welding robots studied, decreasing the motions by 43% during the changeover process and reducing the time from the categories: “transportation”, “main”, “other”, and “waiting”. In addition to SMED implementation, this study offers an integrated study of several Lean tools and Quality tools to achieve the maximum reduction of changeover and setup times.