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Lean enterprise (LE) is one of the emerging fields because of its impact across industry sectors. There were many LE framework articles published in the past without reviewing or considering the already published literature which lead to lots of inconsistencies in the existing frameworks of LE. This study aims to critically review the existing frameworks to identify inconsistencies and propose a new LE framework to overcome limitations of the existing LE frameworks.

A systematic literature review was conducted to identify the existing LE frameworks. All these identified frameworks were classified based on the following criteria: novelty of the framework; based on participation of academicians/practitioners/consultants; whether the proposed frameworks were verified; type of verification methodology used; and the degree of standardization of LE elements. A comprehensive LE framework was proposed after a thorough review of the existing LE frameworks which has been validated through reliability analysis and validity analysis.

The analysis revealed major inconsistencies such as lack of adaptation of existing frameworks in literature which lead to incoherent elements in LE frameworks. The study also found shortage of significant participation of academicians and practitioners in LE frameworks development compared to consultants. The present work established a road map to find a “cohesive theory of LE”, which resulted in the development of a set of coherent elements. Finally, a comprehensive LE framework was proposed with the help of extensive literature review. The initially proposed 106 elements were condensed to 50 after the validation to increase the focus and relevance.

The proposed LE framework needs to be validated via an empirical approach or clinical approach such as a case study which will be the future work.

The present study performed extensive literature review to identify LE-related articles, corresponding elements and established coherency among them. A new comprehensive framework was proposed.

The manufacturing sector has been observing various benefits by the implementation of lean manufacturing practices. However, the manufacturing sector has neglected the significance of health and safety management system implementation. The purpose of this research is to propose and validate an occupational health and safety management systems (OHSMS) framework based on critical success factors and their relationships in the lean manufacturing organizations.

A critical literature review was conducted to identify the success factors of OHSMS. Subsequently, a questionnaire survey and semi-structured interviews were conducted with experts from process industries to consolidate the critical success factors. After consolidating the critical success factors, relationships among critical success factors were established with the help of interpretive structural modelling using a team of 12 experts from industry and academia. These established relationships helped in proposing the hierarchical implementation framework. Finally, the validation of the proposed implementation framework was carried out using structural equation modelling (SEM).

This study has identified nine broader critical success factors for implementation of OHSMS in lean manufacturing organizations, especially the process industry. Subsequently, this study has proposed an OHSMS framework with nine broader critical success factors to implement in lean manufacturing organizations. Finally, the proposed framework has been validated using SEM with an appropriate sample size.

This study is helpful to the organizations to implement OHSMS without losing the essence of lean manufacturing strategy. This study has proposed a framework for implementation of OHSMS in the lean manufacturing organizations, especially process industry sector. This study also provided confidence to the organization through the validation of proposed framework in the process industry.

To the best of the authors’ knowledge, this study is first of its kind in this field of OHSMS in lean manufacturing organizations, especially the process industry. This study has involved both academicians and industry experts to bring more robust outcomes. This study proposed a unique framework to implement OHSMS in lean manufacturing organizations. This study has considered a comprehensive literature to develop a framework for OHSMS in lean manufacturing organizations. An implementation framework was proposed by considering both the academicians’ and industry professionals’ opinions. The proposed framework was statistically validated. This will be helpful in effective implementation of OHSMS strategy in lean manufacturing organizations, especially process industry sector.

There is a concern in literature about the critical elements of lean enterprise (LE) that can be represented as pillars of lean enterprise excellence. However, existing frameworks proposed on LE excellence are very few. The purpose of this paper is to develop a relationship model among the pillars of a proposed framework of LE excellence in Indian manufacturing industry by Jasti et al. (2020) with the help of interpretive structural modelling (ISM) and structural equation modelling (SEM).

The ISM is constructed on two exemplary cases of lean operations from two Indian manufacturing organisations. These cases were selected based on the implementation of lean practices in respective organisations. The two manufacturing organisations which implemented lean practices at different levels were selected as contenders for constructing ISM. The relationships among pillars and constructs of LE framework are obtained from ISM, and later subjected to statistical testing for model fit by using SEM. The input to SEM was the respondent's data collected in a previous study.

The outcome of the present study revealed that the successful implementation of LE framework requires an appropriate strategy along with top management commitment to get a complete benefits of LE. The study has proposed a strategy to implement the proposed LE framework in Indian manufacturing industry. This study has revealed that ISM developed based on the focal company that implemented lean practices effectively is statistically fit for LE framework.

The study has established paired relationships among lean pillars for an effective implementation of LE framework. The investigation was started by collecting opinions of experts to perform the appropriate interpretations subsequently. However, the expert judgements can be qualitative in nature and prone to bias and impact the final outcome. To overcome these a large-scale empirical survey is suggested to provide a better catch for interactions in LEs.

This study helps in providing concrete practical implications to both academic researchers as well as industry professionals. The practitioners normally focus on finding readymade strategies for implementing LE in the organizations. The comprehensiveness of the present work helps the practitioners in implementing LE strategy with ease. The study revealed that management commitment and leadership is driving force but needs strategic implementation methodology for successful implementation.

Manufacturing industries across the world have been struggling to understand and implement LE strategy effectively. Most of the governments across the world are supporting and motivating various industry practitioners to implement LE strategy by providing financial assistance for conducting training programmes. However, many organizations across the world were not able to implement LE strategy successfully. The present study provides a strategy to implement LE framework effectively in an organization.

The study offers a unique approach for analysing the underlying relationships among pillars of LE for effective management. Researchers can use the results of this study for developing frameworks in various domains of LE.

The objective of the present study is to identify and analyze a set of critical success factors (CSFs) for ice-cream industry [cold chain management (CCM)] that helps in increasing the efficacy, quality, performance and growth of the supply chain organization.

A questionnaire survey with companies in ice-cream sector and a panel study with experts were conducted to identify and validate CSFs and their associated sub-factors. Eight CSFs identified from the cold chain domain vetted for the ice-cream industry and then prioritized by using one of the most well-known decision-making frameworks, Decision-Making Trial and Evaluation Laboratory. The general verdicts of the modelling and its application to the real-world case have been tested through an ice-cream company supply chain.

The result shows that the significant CSFs accountable for the growth of the ice-cream industry are the infrastructure and capacity building, consistent product improvement and operational efficiencies of the value chain. Subsequently, it was identified that the use of IT and related technologies and improved processes for operations also play a considerable role in the performance of ice-cream industry.

The study successfully outlines the effective CCM practices for critical issues. The proposed methodology and factor modelling case demonstration might be useful in analyzing the logistic chains of products such as fruits, drugs and meat.

The meritorious identification of critical areas and executing mitigation plans bring notable benefits to the firms such as improved operational efficiencies, improved time to market performance and product innovation, which bring additional benefits to the producers.

Sustainable production (SP) is an efficient and influential approach of production for Indian manufacturing industries as it preserves the social, environmental and economic aspects of production activities altogether. The objective of this research work is to investigate the implementation status of SP practices in Indian manufacturing industries by utilizing empirical survey methodology.

A questionnaire survey methodology was adapted, and the questionnaire was prepared by intense literature survey along with by opinions from experts in the field of SP. This questionnaire was sent to 753 different organizations at different locations across India. This study collected responses from manufacturing industries as per 2021 directory of Confederation of Indian Industries for the duration of 7 week. Top level managers were the target respondents. The study propagated with 242 responses which were observed complete in all respects.

The study identified that though the majority of the organizations are claiming to follow SP practices since long time, they actually are lagging in proper understanding SP practices. Majority of them are implementing it in specific departments in their organization. They are coming across multiple barriers in the implementation of SP practices among which unrecognized financial benefits and lack of proper government policies are prime. The study suggests that the Indian organizations needs feasible framework with adaptable guidelines.

This work is centered towards manufacturing organizations and targets only the leading industrial sectors in India. Thus, the outcomes of this study may not be generalized for all the sectors of Indian industries. Additionally, it can also be assumed that higher number of responses would have contributed to more clear visualization of implementation status of SP practices among Indian industries.

Sustainable approaches in production activities are very lucrative for industries worldwide, due to their advantages. Numerous researchers are also putting their efforts to explore more about various aspects of sustainability. Mostly they are focusing on single or few aspects of SP and its implementation in particular region or country. Very few research works are dedicated to knowing the implementation status of SP in Indian manufacturing industries and they are limited in various aspects. This study presents a dedicated approach to investigate the implementation status of SP practices in Indian manufacturing industries.

Sustainable supply chain management (SSCM) ensures integration of socially, environmentally and economically feasible practices in entire supply chain. SSCM principles can be implemented to improve efficiency and productivity of a system by different attributes of the system. The purpose of this article is to identify the most appropriate existing (SSCM) framework that can be implemented suitably in Indian smart manufacturing industries.

Validity and reliability analysis on the existing SSCM frameworks was carried out with the help of empirical data collected using questionnaire survey methodology from various Indian smart manufacturing organizations. The empirical data were gathered from various experts from top- and middle-level management in different smart manufacturing organizations across the country. Further, factor analysis was carried on the collected data to estimate the unidimensionality of each SSCM frameworks. Cronbach's alpha value was used to assess reliability of each framework. Subsequently, the frequency distribution analysis was done to obtain familiar elements in the segregated frameworks based on validity and reliability analysis.

The work observed that only five SSCM frameworks have shown unidimensionality in terms of the elements or constructs. The work further found that these segregated frameworks have not shown sufficiently high level of reliability. Additionally, this work attempted frequency distribution analysis and observed that there were very few elements which were being repeatedly used in numerous frameworks proposed by researchers. Based on the findings of this work, the work concluded that there is acute need of a new SSCM framework for Indian smart manufacturing industries.

This study gathered empirical data from 388 Indian smart manufacturing organizations. Thus, before generalizing the findings of the study across the sectors, there is a possibility of some more explication.

The main purpose of this article is to explore the feasibility of the existing SSCM frameworks in Indian smart manufacturing sector. The study also assumes that the manufacturing managers and executives may have the complete understanding on the existing sustainable manufacturing frameworks and a chance to executing proper suitable framework in the respective manufacturing organization.

The purpose of this paper is to verify the applicability of proposed lean production system (LPS) framework in the Indian manufacturing industry.

The authors conducted a cross-sectional study to collect responses from five major sectors, namely, automobile, process, machines and equipment, electronics and components and textile. They collected 200 responses to perform empirical validation from Indian manufacturing industry. They performed reliability analysis on the proposed framework of LPS in the Indian manufacturing industry.

The findings revealed that all the elements and sub-elements have a high value in reliability. Subsequently, the study performed principles component analysis on LPS framework. The empirical investigation revealed that the proposed LPS framework has a high level of reliability as well as validity in the Indian manufacturing industry. Hence, the study concluded that the LPS framework is helpful to implement lean principles in a structured manner in any Indian manufacturing industry to achieve excellence in organizational functions.

The authors conducted an empirical survey to verify the applicability of the proposed LPS framework in the Indian manufacturing industry. They observed that many researchers proposed various LPS frameworks, but none of the researchers focused on verifying the proposed frameworks. To overcome, the same limitations, the study verified the proposed framework with the larger sample size.

Lean manufacturing (LM) plays a major role in eliminating wastes (activities/resources) in a manufacturing organization. Value stream mapping (VSM) is one of the critical tools in LM which will help in identifying wastes in materials and information flow in a specific product family. The purpose of this paper is to illustrate the significance of VSM in the auto-ancillary industry in enhancing the productivity and the quality.

A case study approach is followed to demonstrate the significance of VSM in identifying various wastes in the auto-ancillary industry. The study has been performed by implementing seven critical steps. A product family is identified based on the customer demand and a cross functional team with specialized experts was formed. The overall processes with sequence are mapped using process flowchart. A cross functional team has been formed to develop the current state of VSM and perform a critical analysis to identify shortcomings. An investigation was performed to overcome the existing shortcomings by identifying opportunities. The relevant kaizens to improve the current state have been proposed. The cross functional team of experts have performed a feasibility study on implementation of proposed kaizens. Finally, a future state of VSM after implementation of feasible kaizens has been reported.

The results show that future state of VSM brings out the positive impact with respect to process ratio, TAKT time, process inventory level, total lead time and bottleneck time. The proposed improvement also helped to achieve higher customer satisfaction in terms of increased quality, reduced cost and on time delivery.

Present study is focussed on a single product family cell in one of the auto-component organization.

Helps practitioners in the auto-component industry to implement the VSM effectively in their organization.

The objective is to carry out a thorough literature review and analysis of sustainable production system (SPS) and identify avenues for the future research.

A sample of 903 articles published from 1996 to 2019 in 40 journals were considered in the analysis. The classification and analysis of articles was done based on: time, focus area, methodology, research stream, authorship, industry sector, critical elements, implementation status, type of support and performance. Based on the analysis the future scope development needs are identified.

The findings are: increasing trend in empirical and conceptual research articles, need of sustainable principles implementation in the product development with combination of all the areas, need of more intercontinental research collaborations as the sustainable production is interconnected rather than isolated, need of sustainable constructs implementation as a coherent set instead of individual constructs, need of integration of sustainable philosophy with other manufacturing philosophies to achieve sustainable results and need of testing and validation of the support by researchers.

The results from the study will be useful to the researchers, academicians and professionals to trace the gaps, growth, pertinence and research developments in the field of SPS.

The purpose of this paper is to analyze the evolution of total quality management (TQM) models, frameworks, and tools and techniques in higher education (HE) over the last thirty years from 1991 till 2020, based on a literature review

30 articles from 52 journals were used to perform this detailed literature review. For the detailed analysis, the focus was only on articles related to TQM in higher education and specifically related to models, frameworks and tools and techniques. The study has investigated the growth of research articles, research streams, research methodologies, models and frameworks in the higher education sector and tools and techniques related to those.

This review addresses the progress and gaps in the application of TQM in HE, including the shift in global research in this area from the USA and Europe to Asia in recent years. The articles have been classified into four research methodologies and two research streams which have been reviewed in detail. The findings include reasons for multiple models/frameworks in HE proposed by researchers over the years and the importance of tools and techniques used in TQM implementation.

This study, which tries to bring a perspective to the main trends in TQM application to higher education wrt models, frameworks, tools and techniques over the last thirty years, is expected to add to the body of knowledge in this area and help future researchers to focus on the relevant areas identified in this paper.