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The purpose of this paper is to investigate the interactions among the key factors of supply chain (SC) in the Indian automotive industry. These key factors are helpful to measure supply chain performance (SCP) and to improve the firm’s effectiveness.

In this paper, an interpretive structural modeling with a fuzzy cross-impact matrix multiplication applied to classification-based approach is used to examine the interactions among the key factors of SCP measurement.

The authors have identified the most dominant key factors used for measuring the performance in automotive SC. The results exhibit that the order lead-time and order entry method are the most significant key factors. These key factors have high driving power to measure SCP whereas the post-transaction measure of customer service and customer query time are highly dependent on other factors. Such relationships among the key factors can help a firm’s top management to make essential judgments in order to solve the overall SC problems and provide a better approach to proactively deal with problems.

In this paper, the authors have explored the interactions among the key factors of the SCP in the Indian automotive industry.

The purpose of this paper is to review the existing literature on supply chain performance measures and metrics (PMMs). It provides a critical evaluation of 234 articles published in past 24 years.

The paper examines the studies published from 1991 to 2014 by adopting the bibliometric technique of citation and co-citation analysis.

The analysis of the results indicate that the number of articles on supply chain PMMs is increasing at its fastest pace in the past few years. Furthermore, the study identifies some of the most influential articles on performance measurement and metrics. Finally, it concludes that there has been a transition from traditional to more sophisticated performance measurement system.

This study focuses only on supply chain performance measurement and metrics and excludes research on performance management and control. Thus, researchers may explore and extend this area of research.

To the knowledge of the authors, this is the first study to review the literature on supply chain PMMs by using citation and co-citation analysis. The study includes 234 articles over the time of 24 years (1991-2014).

The purpose of this paper is to investigate the existing literature on agile manufacturing (AM) to pinpoint critical success factors (CSFs) affecting the successful implementation of agile manufacturing systems.

The study focused on empirical articles published in peer-reviewed journals from 1991 to 2019 (July). In total, 37 empirical studies were shortlisted for analysis as the reliability and validity of the constructs were critically tested using various statistical methods. Further, “Pareto analysis” tool was employed to sort and arrange the factors critical for smoother and effective implementation of AM, in descending order according to their frequency of occurrence.

The present work scrutinizes 37 research papers, resulting in 33 CSFs that affect AM implementation. Using Pareto analysis, 8 CSFs are regarded as “vital few,” which account for 82.66 percent of occurrence, and the remaining 25 CSFs are regarded as “useful many,” which account for 17.34 percent of occurrence. The managers must focus on successful deployment of “vital few” CSFs, as they are more critical in achieving business excellence through the successful implementation of AM, in comparison to other 25 “useful many” CSFs.

To the best knowledge of authors, this work is the first attempt to employ Pareto analysis for critically analyzing a wide range of AM CSFs studies. The findings of this study will assist researchers and managers in AM implementation in a more smoother and effective way in manufacturing industries.

The COVID-19 pandemic era has severely hampered the economy over the globe. However, the manufacturing organizations across all the countries have struggled heavily, as they were among the least who worked on online mode. The organizations are adopting various innovative quality methodologies to improve their performance. In this regard, they are adopting the Sustainable Lean Six Sigma (SLSS) concept and Industry 4.0 technologies to develop products at a faster rate. The use of Industry 4.0 technologies may reduce material movement and supply chain disruptions with the help of smart intelligent systems. There is a strong synergy between SLSS and Industry 4.0 technologies, resulting in an integrated approach for adoption. This study aims to develop a framework that practitioners can use to adopt Industry 4.0-SLSS practices effectively.

This study portrays 31 Industry 4.0-SLSS practices and 22 performance metrics identified through a literature review to improve the manufacturing supply chain performance. To compute the weights of these practices, the Robust Best–Worst Method (RBWM) is used. The Pythagorean fuzzy combined compromise solution (PF-CoCoSo) method is used to rank performance metrics.

According to the RBWM results, “Process Development Practices (PDP)” are first among the major criteria, followed by “Organizational Management Practices (OMP)” at second, “Technology Adoption Practices (TAP)” at third, “Strategy Management Practices (SMP)” at fourth and “Executive Management Practices (EMP)” at fifth, whereas the PF-CoCoSo method resulted in the performance metric “On time product delivery” ranking first.

The identified practices have the potential to significantly improve the performance of the manufacturing supply chain. Practices that encourage a sustainable manufacturing supply chain and the usage of emerging technology will benefit organizational effectiveness. Managers can assess performance using prioritized performance metrics.

During the COVID-19 pandemic era, this is one of the unique attempts to provide a framework to improve the manufacturing supply chain performance. This study integrates and identifies Industry 4.0-SLSS practices and performance metrics for enhancing overall performance.

The purpose of this paper is to algorithmically and objectively investigate the previous literature on supply chain resilience (SCR) and advance theory by synthesizing new research domains.

A two-staged analysis approach, integrating systematic literature review (SLR) with VOSviewer co-occurrence analysis, was applied to the articles published between 2003 and 2018.

The authors find exponential growth in the literature on SCR over the last decade; however, there is still a gap for empirical research on numerous drivers, barriers, theories, moderators, mediators and research methods intertwined in building SCR.

The review identifies major clusters in which SCR research is conducted and devises a future research agenda based on the findings of co-occurrence analysis.

The findings provide managers with a broad spectrum of factors that are indispensable to build resilience and inform business policy.

While some SLRs exist in the current literature of SCR, the authors undertake a unique analytical perspective, resulting in an idiosyncratic set of research domains for further investigation in the area.

The purpose of this paper is to explore the role of logistics capabilities in achieving supply chain agility through a multi‐disciplinary review of the relevant research. The systematic literature review aims to provide the basis for formulating a conceptual framework of the relationship.

A systematic, comprehensive review of the literature on manufacturing, organizational and supply chain agility from 1991 through 2010 was conducted. The literature on logistics capabilities was also examined to identify the various elements that contribute to supply chain agility.

Supply chain agility has primarily been explored in the literature through a focus on manufacturing flexibility, supply chain speed, or lean manufacturing. The role of logistics capabilities in achieving supply chain agility has not been addressed from a holistic conceptual perspective. This research addresses that gap using a multi‐disciplinary approach. As such, it is the first phase in theory building on the concept of supply chain agility. Further research is needed to empirically test the conceptualized relationships.

This research is a systematic, integrative review of the existing literature on the concept of agility and logistics capabilities. As such, the next phase of research needed for theory building will be the operationalization of constructs and testing of the hypothesized relationships proposed by the conceptual framework.

The level of agility in a supply chain can determine the efficiency and effectiveness of the collective efforts. It is important that firms become more knowledgeable about the role of logistics capabilities in achieving agility.

Through a systematic, comprehensive review of the literature in four distinct areas, the paper explores the relationship between logistics capabilities and supply chain agility.

The purpose of this paper is to identify and analyze the interactions among different enablers of agile manufacturing system (AMS). The existing enablers available in the past literature are scattered and not able to meet specific requirements of the customers. So, it becomes a necessity to encapsulate these enablers in appropriate proportions to enable traditional organizations to AMS. To fill this gap total interpretive structural modeling (TISM) and MICMAC analysis-based framework model have been developed to understand the mutual interactions between among the enablers.

Identification of enablers followed by application of TISM, which is an innovative version of ISM and MICMAC analysis, is used to study and analyze the mutual interactions between identified enablers.

The result reveals that top management support, organizational structure and information technology integration have strong driving power and weak dependence power and are at the lowest level in the TISM model hierarchy, while the outcome enablers of AMS have low-driving power but have high-dependence power.

This model is developed on the basis of inputs from few experts and may not reflect the opinion of whole industry community.

Top management must stress on enablers having strong driving power for efficient implementation of AMS. Managers in the area of manufacturing may drive useful insights from the empirical study presented in this paper. Managers should plan an effective strategy for proper implementation of AMS which makes organization more agile, productive, competitive and profitable.

TISM-based framework structural model has been proposed for industry or organization which is a new effort for implementation of AMS.

For any company, measuring its performance with respect to customers’ expectations is crucial in selecting suitable strategies and technologies that it will employ in producing and marketing the right product mix. This certainly holds also for the company studied here, GEC‐Marconi Aerospace (GECMAe), a manufacturer of pumping systems, pneumatic systems, electro‐mechanical actuators and sub‐systems, and fuel handling and metering equipment for ground applications and for bulk fuel distribution. The paper is based on an actual case study conducted in GECMAe, and it provides information on the “gap” between the company’s marketing and production functions. Gap analysis, proposed by Slack, is the method used to study the gap between these functions. A list of suggestions is provided to help the company in its efforts to reduce the gap, and improve its performance and overall competitiveness. The study also provides the reader with an insight into the company.

The purpose of this paper is to analyze e-procurement in small and medium-sized enterprises (SMEs) and its relationship with top management support, IT obstacles and strategic purchasing and the effect of e-procurement on performance (procurement performance and business performance).

The hypotheses were tested using a sample of 199 managers from SMEs in manufacturing.

The results indicated a significant relationship between e-procurement in SMEs and top management support, IT obstacles and strategic purchasing. Similarly, the authors found a positive relationship between e-procurement and procurement process performance and business performance.

The findings stress to SME managers, the need to pay attention to top management support, IT obstacles and strategic purchasing when implementing e-procurement. Similarly, it provides evidence of the benefits of e-procurement on procurement process performance and business performance.

This study fills a gap in the literature regarding e-procurement in SMEs and its impact on performance. SMEs constitute a significant part of today’s economies and e-procurement can significantly impact the performance of these organizations.