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This paper aims to assist managers and food supply chain practitioners in efficiently implementing lean and green (LG) practices for sustainability. Examining barriers to LG practices, as well as prioritizing mitigation strategies in the food supply chain, are all part of this work.

Using a combination of literature review and expert team inputs, this paper investigated the LG barriers and their solutions under PESTEL (Political, Economic, Social, Technological, Environmental and Legal) framework. To prioritize them, this work used the fuzzy best worst method (fuzzy BWM) with the fuzzy technique for order preference by similarity to ideal solution (FTOPSIS).

From the fuzzy BWM, the economic barriers were identified as the most significant. From the FTOPSIS approach, top management expertise and commitment to adopting LG practices were identified as the best solution for overcoming the barriers.

This paper discusses the barriers and solutions for successfully implementing LG techniques from the real-time food supply chain. The practitioners and food chain managers welcomed the methodology for its use in prioritizing the barriers to LG practices. Conclusions drawn from this work were found to be realistic.

The original contribution of this study is to present the model framework for barriers and solutions of LG practices in the dairy supply chain using the hybrid MCDM technique.

This paper aims to discover and analyze the challenges hampering blockchain technology’s (BT’s) implementation in the Indian health-care sector. A total of 18 challenges have been prioritized and modeled based on an extensive literature search and professional views.

An integrated multi-criteria decision-making approach has been used in two phases. Best worst method (BWM) is used in the first phase to prioritize the challenges with sensitivity analysis to validate the findings and eliminate a few challenges. In the second phase, interpretive structural modeling is applied to the remaining 15 challenges to obtain relative relationships among them with cross-impact matrix multiplication applied to classification analysis for their categorization.

The study’s results reveal that limited knowledge and expertise, cost and risk involved, technical issues, lack of clear regulations, resistance to change and lack of top management support are the top-ranked or high-intensity challenges according to the BWM. Interpretive structural modelling findings suggest that the lack of government initiatives has been driving other challenges with the highest driving power.

This work has been conducted in the Indian context, so careful generalization of the results is needed.

This work will give health-care stakeholders a better perspective regarding blockchain’s adoption. It will help health-care stakeholders, service providers, researchers and policymakers get a glimpse of the strategies for eradicating mentioned challenges. The analysis will help reduce the challenges’ impact on blockchain’s adoption in the Indian health-care sector.

The adoption of BT is a novel concept, especially in developing countries such as India. This is one of the few works addressing the challenges to BT adoption in the Indian health-care sector.

With the emergence of the COVID-19 pandemic, the production shortage of personal protective equipment (PPE), such as surgical masks, has become increasingly significant. It is vital to quickly provide high-quality, hygienic PPE during pandemic periods. This comprehensive case study aims to confirm that Kaizen and 5S applications reduce wastage rates and stoppages, which as a result, created a more efficient and sustainable workplace in a small–mediumenterprise (SME) producing PPE in Turkey.

The method for this case is discussed with the help of a flowchart using the DMAIC cycle: D-define, M-measure, A-analyse, I-improve and C-control.

The total stoppages due to fishing line, gripper, piston and yarn welding have decreased by approximately 42.4%. As a result of eliminating wasted time and reduced changeovers, a total of 5,502 min have been saved per month. This increased production of approximately 10.55% per month, led to an addition of 506,184 units.

The use of lean manufacturing (LM), Six Sigma, Lean Six Sigma and continuous improvement methodologies are not common in textile SMEs. Based on the current literature reviewed, to the best of the authors’ knowledge, this is the first comprehensive case study that combines statistical tools, such as hypothesis tests and LM practices, in the production process for a PPE company operating as a textile SME.

The purpose of this paper is to develop a distribution management system that determines the path toward lean distribution through teamwork. This system introduces a set of lean distribution initiatives regarding the structural and strategic facets of organizations.

Through studying the case, which is one of the largest distribution companies in the Middle East, the deployment process of the developed system is examined through chartering focus, deployment and operational teams. These teams held several rounds of panel discussions to formulate the strategic, tactical and technical plans required for making distribution operations lean.

It is found that the strategic focus of the case should not only be restricted to distribution initiatives but also the company can achieve a suitable competitive position by focusing on leadership and integral architecture of information, distribution and transportation channels. The first semi-year cycle of implementing the lean distribution system in the case targeted a 2.5% reduction in the ratio of distribution cost to sales by planning for the cross-docking adoption. It also aimed at a 10% increase in the market share for the prioritized market by a 20% reduction in lost sales owing to improper implementation of the processes.

The developed lean distribution management system is novel in the way it includes the strategy, structure and capabilities of an organization. Deploying this system causes a meaningful connection between lean distribution principles and operational initiatives.

This paper aims to thoroughly identify the forms of integration between Lean, Industry 4.0 (I4.0) and environmental sustainability (ES) by examining the relationships between these three constructs, deepening understanding surrounding the theme and evolving the construction of a framework that can aid managing industrial production processes.

A systematic literature review (SLR) was the method used to identify the relationships for integration in the current literature. The SLR was supported by content and cluster analysis. The analyzes identified relationships at two levels. The first level observed relationships for constructs and variables. The second, at the level of constructs and components, which detail the variables. This study also proposes an integrated conceptual framework showing these relationships at the construct, variable and component levels.

The results show how these three constructs are related and the study concludes by stating that there is stronger integration among I4.0 technologies and Lean practices for reaching ES. The SLR identified the main components that allowed for this integration, i.e. I4.0 technologies, Big Data, the internet of things and Lean practices, like reducing waste and customer needs.

From an academic standpoint, this study proposes new lines of research lines that have not been explored thus far, and can be developed via empirical studies, at the strategic and operational levels among different industrial sectors. Also, this study can help managers understand the integrations between Lean practices and I4.0 technologies to achieve better operational and environmental organizational results.

To the best of the knowledge, this study is the first of its kind using SLR to integrate Lean approaches, ES and I4.0 and to propose a unified framework to help managers and academics understand these relationships.

Value stream mapping (VSM) is a visualization tool to identify and eliminate waste and widely applied in manufacturing, transportation, construction, service and other industries, especially in the Industrial 4.0 technology era. The purpose of this paper is to review and analyze the VSM literature to identify the advances and hotspots of VSM literature.

Taking the VSM literature collected from the Web of Science Core Collection database as the research samples, this research used the bibliometric and keyword co-occurrence analysis to analyze the publication trend, research topics and their contents of VSM from concept integration, application sectors and technology expansion.

With the development of research, the latest research integrates conceptual integration, application departments and technology expansion to develop more complex research designs. It can be integrated with simulation, six sigma, big data, Internet of Things and other technologies to expand the analysis and design ability of VSM, which enhances the adaptability of VSM to various scenarios.

This research contributes to VSM literature by conducting a systematic review based on the citation structure within VSM research and identifies the established and emerging areas of research on VSM.