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Article
Publication date: 12 February 2018

Shashank Thanki and Jitesh Thakkar

The purpose of this paper is to propose a balanced scorecard (BSC)- and strategy map-based quantitative framework for assessing the lean and green performance of the supply chain…

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Abstract

Purpose

The purpose of this paper is to propose a balanced scorecard (BSC)- and strategy map-based quantitative framework for assessing the lean and green performance of the supply chain (SC). As the SC competitiveness demands efficient and effective utilization of resources throughout the value chain, not only adoption of lean and green SC paradigms but simultaneously its performance evaluation is also vital.

Design/methodology/approach

The lean and green SC performance measures are classified into four categories of BSC. A fuzzy decision-making trial and evaluation laboratory (DEMATEL) methodology combined with analytical network process is proposed for examining the causal relationships between BSC perspectives and respective assessment criteria. The application of the proposed assessment framework is demonstrated for the case of Indian textile SC.

Findings

The research delivers a quantitative assessment framework for evaluating lean and green performance of the SC. The results obtained for a typical case of Indian textile SC revealed that “delivery performance,” “profitability” and “operational cost” are the most crucial performance measures. The perspective of “internal processes” is the most significant of all BSC perspectives while “learning and growth” perspective acts as the driving force to improve lean and green SC performance.

Originality/value

The paper makes two contributions in the domain of lean and green assessment of SC performance. First, it proposes an evaluation framework to investigate into the causal relationships among the BSC perspectives and related factors. Second, it undertakes an empirical investigation for Indian textile SC to develop key managerial insights and provide policy-related recommendations.

Details

International Journal of Productivity and Performance Management, vol. 67 no. 2
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 2 September 2019

Shashank Thanki and Jitesh J. Thakkar

Improved performance in operational (lean) and environmental (green) dimensions has been extremely critical to the global competitiveness of organizations. As the performance of…

1479

Abstract

Purpose

Improved performance in operational (lean) and environmental (green) dimensions has been extremely critical to the global competitiveness of organizations. As the performance of small- and medium-sized enterprises (SMEs) is influenced by various external and internal factors, the purpose of this paper is to analyze the lean–green performance of Indian manufacturing SMEs by investigating the influential relationships of various factors along with the set of lean and green practices adopted by the firms.

Design/methodology/approach

The study employs a holistic approach by integrating multiple case study and data envelopment analysis (DEA) in eight manufacturing SMEs to verify a set of five propositions relating issues such as organizational factors, quality and environmental management certifications, implementation of lean and green practices with operational and environmental performance in Indian SMEs. Within-case analysis and cross-case analysis are used for a qualitative investigation of cases while DEA with four input variables, two desirable output variables and one undesirable output variable, is used for quantitative investigation with returns to scale (RTS) and damages to scale (DTS) analysis.

Findings

The RTS/DTS results suggest that Indian SMEs exhibit decreasing RTS and increasing DTS, implying that they need to decrease their operational sizes in order to improve the operational and environmental performance. The possible alternative and more practical strategy could be to introduce new technology innovation and holistic adoption of manufacturing excellence initiatives such as lean and green.

Originality/value

The research findings provide insights into the lean and green performance enhancement approach in the context of SMEs. The study extends key managerial implications and policy-related guidelines.

Details

International Journal of Productivity and Performance Management, vol. 69 no. 3
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 4 January 2018

Shashank J. Thanki and Jitesh Thakkar

The purpose of this paper is to identify and analyze the critical success factors (CSFs) behind the successful implementation of lean-green practices in Indian small- and…

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Abstract

Purpose

The purpose of this paper is to identify and analyze the critical success factors (CSFs) behind the successful implementation of lean-green practices in Indian small- and medium-scale enterprises (SMEs).

Design/methodology/approach

The analysis employs two modeling approaches such as interpretive structural modeling (ISM) and interpretive ranking process (IRP) for examining the contextual relationships among the CSFs and ranks them with respect to key lean-green performance areas. A critical review of literature has led to the identification of total 25 CSFs for lean-green implementation. The list is reduced to 18 most relevant CSFs for the context of Indian SMEs based on experts’ (from industry and academia) opinions. The ISM is utilized to develop ten-level hierarchical model of CSFs. In order to gain greater insights into the nature of variables, the matrix of cross-impact multiplications applied to classification (MICMAC) analysis has been conducted.

Findings

The results show “Government support” as the most significant to the successful lean-green implementation in Indian SMEs and it is placed at the base of the ISM hierarchy. The CSF “Green disposal initiatives” is identified at the top level of the ISM hierarchy. Further, MICMAC analysis identifies five independent variables, eight linkages variables, four dependent variables and none autonomous variable. This may help SME managers to decide about resource priorities toward successful implementation of lean-green initiatives. Subsequently, the IRP has examined the dominance relationship and identifies “Organizational capabilities” as the most significant CSF.

Practical implications

This research intends to enable practitioners in prioritizing and managing strategic and tactical challenges involved in lean-green implementation in Indian SMEs.

Originality/value

This study makes an initial attempt in analyzing factors critical to successful implementation of integrated lean and green manufacturing practices in Indian manufacturing SMEs using ISM. The analysis is further enhanced by applying IRP to rank the CSFs by investigating the influence lean-green integration on various performance measures.

Details

Journal of Manufacturing Technology Management, vol. 29 no. 2
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 11 March 2021

Jaivesh Gandhi, Shashank Thanki and Jitesh J. Thakkar

The Indian manufacturing sector currently contributes 16–17% to gross domestic product (GDP) and gives employment to around 12% (2014) of the country's workforce. Among the…

717

Abstract

Purpose

The Indian manufacturing sector currently contributes 16–17% to gross domestic product (GDP) and gives employment to around 12% (2014) of the country's workforce. Among the various initiatives planned under Atma Nirbhar Bharat and “Make in India”, the Indian government aims to increase the share of the manufacturing sector to country's GDP to 25% by 2025. To ensure sustainable growth of the Indian manufacturing industries in global market, successful and implementation of strategies such as lean manufacturing, green manufacturing along with six sigma are crucial. This research aims at identification and analysis of barriers to successful implementation of integrated Lean Green Six Sigma (LG&SS) strategies.

Design/methodology/approach

Based on an evaluative literature review and expert's opinion, this research identifies 18 barriers to lean, green and six sigma implementation in the manufacturing industry in India. The inter-relationships among the barriers is identified using an integrated approach of ISM (interpretive structural modelling) and Fuzzy Matrice d’Impacts Croisés Multiplication Appliquée á un Classement (MICMAC).

Findings

ISM helps to derive key managerial insights and implementation plan based on the identified inter-relationships among the barriers. Fuzzy MICMAC analysis classifies the barriers into four categories, namely, autonomous, driver, dependent and linkage to understand their relative impact on the implementation of LG&SS practices in the Indian manufacturing industry. “Lack of cooperation and mutual trust between management and employees”, “The scarcity of time and work pressure”, “lack of continuous improvement work culture” and “lack of cooperation from suppliers” that forms the top most level of the model. “Weak legislation” is a highly significant barrier to LG&SS implementation in the Indian manufacturing industries.

Practical implications

It is expected that the findings of this research will help the Indian manufacturing industry to derive a sustainable competitive advantage through an effective implementation of LG&SS practices.

Originality/value

This study can be seen as the first attempt in investigating barriers to successful implementation of lean, green and six sigma strategies in the Indian manufacturing industries using ISM and fuzzy MICMAC analysis.

Details

The TQM Journal, vol. 33 no. 8
Type: Research Article
ISSN: 1754-2731

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Article
Publication date: 5 November 2020

Shaad Ahmad, Ahmad Abdullah and Faisal Talib

In a globalized environment, small and medium enterprises (SMEs) are facing formidable challenges. Not only do they have to keep up their profitability, but there is also a…

875

Abstract

Purpose

In a globalized environment, small and medium enterprises (SMEs) are facing formidable challenges. Not only do they have to keep up their profitability, but there is also a pressure from various stakeholders to add to their environmental and quality performance .The solution obviously lies in continuously adopting and improving upon lean-green practices in their operations. This work aims at identifying, classifying and building up a duly tested robust ranked-order model of such “enablers”, related to lean-green practices, that puts them (the enablers) in an order of being the most significant to being the least significant further to be accorded the same or similar weight in strategy formulation and implementation stage by Indian SMEs for enhancing their overall organizational performance.

Design/methodology/approach

The study identifies 20 enablers (12 lean and 08 green manufacturing enablers) through extensive literature review and experts' opinion survey and classifies them into three main categories. The ranking and significance of each of the main and subcategory enablers is evaluated according to its weight which is determined by the best-worst method (BWM) approach, one of the novel multi-criteria decision-making (MCDM) methods. Further, the results have been drawn after running accuracy check of the rankings (based upon optimal weights) and testing the robustness of the ranked-order model through sensitivity analysis.

Findings

The results of this study reveal that out of the three main category enablers, “operational performance enablers (E1)” and “quality performance enablers (E3)” are the most and the least significant enablers, while in the group of 20 subcategory enablers, “Kaizen (E17)” and “environment emission control (E28)” are the most and the least significant subcategory enablers, respectively.

Practical implications

The prioritization model or ranked-order model of the lean-green manufacturing enablers proposed through this study may serve as a standard model to managers to help them decide and allocate their efforts and resources accordingly in managing their operations. This will also help them adopt high-ranking lean-green manufacturing enablers in their firms and benchmark and standardize their existing practices accordingly, leading to greater competitive advantage.

Originality/value

The study identifies various green-lean manufacturing enablers in SMEs, classifies them into three main categories and ranks them using BWM approach. The findings of this study should be extremely relevant to managers, manufacturing engineers and practitioners in Indian SMEs from the perspective of developing deeper appreciation of these enablers as per their relative ranked importance to further formulating an effective and efficient strategy for their implementation resulting in optimal results.

Details

Benchmarking: An International Journal, vol. 28 no. 2
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 3 September 2024

Jaiveshkumar D. Gandhi and Shashank Thanki

India’s manufacturing sector employs about 12% of the labour force and contributes to about 17% of the nation’s GDP. The Indian government intends to implement several initiatives…

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Abstract

Purpose

India’s manufacturing sector employs about 12% of the labour force and contributes to about 17% of the nation’s GDP. The Indian government intends to implement several initiatives under the “Make in India” and Atma Nirbhar Bharat banners to increase the manufacturing sector’s share of the nation’s GDP to 25% by 2025. Applying lean manufacturing, green manufacturing and Six Sigma is crucial to ensure that India’s manufacturing sectors grow sustainably in international markets. This study aims to identify sustainability indicators and ascertain their respective weights to evaluate the sustainability performance of the Indian manufacturing industry.

Design/methodology/approach

This research identifies 25 sustainability indicators and classifies them into the triple bottom line of sustainability based on an evaluative literature review and expert opinion. The Best Worst Method was utilised to determine the weights of the sustainability indicators. The sustainability index was developed to evaluate economic, social and environmental sustainability.

Findings

The sustainability performance of a foundry in a significant Western Indian State city was assessed by applying the developed sustainability index. After the adoption of integrated lean, green and Six Sigma (LG&SS) strategies and related practices in the foundry, there has been a notable improvement of 68.03% in the economic index, 61.62% in the social index and 13.24% in the environmental index.

Research limitations/implications

The proposed sustainability index is applied and evaluated specifically for assessing the sustainability performance of Indian manufacturing SMEs. It can be used to substantiate firm’s sustainability performance and also to assess the improvement in firm’s performance in economic, environmental and social dimensions after implementing various operational excellence practices. However, it cannot serve as a benchmark tool across similar companies or organisations.

Practical implications

The developed sustainable index can be used to analyse the company or organisation’s sustainability performance and see how various strategies have improved things. Practitioners can use this index to assess social, economic and environmental performance and focus on areas that need improvement.

Social implications

The proposed sustainability index serves as a vital tool for monitoring a firm’s progress in triple bottom line (TBL) dimensions of sustainability, tracking a diverse range of indicators and encouraging sustainable organisational practices.

Originality/value

This study attempts to assess the economic, social and environmental performance of Indian Manufacturing SMEs by proposing a sustainability index.

Details

International Journal of Productivity and Performance Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 24 August 2020

Pezhman Ghadimi, Shane O'Neill, Chao Wang and John W. Sutherland

The purpose of this study is to identify a comprehensive list of main enablers of successful implementation of green manufacturing (GM) practices in small and medium-sized…

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Abstract

Purpose

The purpose of this study is to identify a comprehensive list of main enablers of successful implementation of green manufacturing (GM) practices in small and medium-sized enterprises (SMEs). Based on the inputs from Irish SMEs' experts, a validated conceptual hierarchy model of the identified enablers is developed to analyse and prioritise the most dominant ones.

Design/methodology/approach

Data were collected using a questionnaire survey responded by various professionals in Irish manufacturing SMEs. Experts' opinions were analysed using interpretive structural modelling (ISM) and cross-impact matrix multiplication applied to classification (MICMAC) to distinguish the mutual influences amongst the nine identified enablers.

Findings

The findings revealed that from the Irish SMEs' perspective, strong green supply chain relations are the outcome of successfully implementing GM and not a driver of the other enablers. Furthermore, lower manufacturing costs are found to arise as a result of GM practices in SMEs.

Practical implications

It is discussed that emulating the actions of larger companies will not necessarily yield the same results for SMEs. Innovation will become a cornerstone of remaining competitive in a sustainable environment, which is facilitated by closer green supply chain relations.

Originality/value

The reported findings in this article contribute to theory and practice of GM and SMEs research domains by systematically identified, classified and ranked enablers in a conceptual hierarchal model from the perspective of Irish SMEs. This research lays the foundations for further analysis of the GM practices enablers in a time when UN mandates and EU regulations are increasingly impacting SMEs all around Europe and especially Ireland.

Details

Journal of Manufacturing Technology Management, vol. 32 no. 1
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 26 December 2023

Yun-Chen Morgan, Lillian Fok and Susan Zee

This study examines the direct and indirect effects of organizational environmental orientation (EO)/culture, quality management practices (QMP) and sustainability experience (SE…

251

Abstract

Purpose

This study examines the direct and indirect effects of organizational environmental orientation (EO)/culture, quality management practices (QMP) and sustainability experience (SE) on the relationship between organizational green practices (GP) and the triple bottom line (TBL) of sustainability performance (SuP).

Design/methodology/approach

To test the seven hypotheses, a structured questionnaire was used to collect data. The responses of 365 managers from various USA businesses in the service industries were analyzed using IBM SPSS and structural equation modeling (SEM)-AMOS.

Findings

The empirical results indicate that positive SuP in the economic, environmental and social dimensions and organizational GP can be improved by a strong culture of EO, effective QMP and substantial SE.

Practical implications

This research fills the gap in existing research between important organizational and environmental priorities and SuP. Consequently, the study provides managers with important strategic guidance: for environmental practices to achieve profitability and sustainability success, companies must promote an environmental-mindful culture and strategically invest in integrated QM systems.

Originality/value

This research is one of the first that explores how organizational environmental culture and QMP affect directly and indirectly the relationship between GP and SuP. These results provide empirical evidence to support the claim that environmental culture and QMP have significant direct and indirect effects on the relationship between GP and SuP dimensions.

Details

International Journal of Productivity and Performance Management, vol. 73 no. 8
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 30 December 2022

Lillian Fok, Yun-Chen Morgan, Susan Zee and Valerie E. Mock

This study aims to examine the direct and indirect effects of organizational culture (OC) and total quality management practices (TQMPs) on the relationship between green…

1018

Abstract

Purpose

This study aims to examine the direct and indirect effects of organizational culture (OC) and total quality management practices (TQMPs) on the relationship between green practices (GPs) and sustainability performance (SP) by using structural equation modeling (SEM) analysis.

Design/methodology/approach

This study proposed a conceptual research model of the relationships and formulated six hypotheses. This study used a structured questionnaire based on previous studies to collect relationship data to test these hypotheses, and 441 full-time managers from various US businesses responded. The complete and valid survey responses were then tested against the hypotheses using IBM SPSS Statistics and SEM-AMOS.

Findings

Results supported the relationships proposed in the research model. They indicated that a strong supporting OC and TQMPs might improve positive SP and GPs. Additionally, the more managers are aware of their companies' GPs, the more likely they will feel positive about the organization's SP.

Research limitations/implications

A larger sample size to ensure statistically minimum representation in several major industries would better validate the findings and help identify significant differences in industry-specific OCs, TQMPs, GPs and SPs. Similarly, ensuring a varied geographical representation (both within the USA and internationally) would help determine if the findings vary according to the respondent's location. Furthermore, collecting the data during Year 1 of the COVID-19 pandemic may have skewed the results. Thus, once the working environment has been normalized, the survey should be repeated to determine if the findings are valid post-pandemic.

Practical implications

The findings of this study provide important strategic guidance for managers who work to balance the implementation of corporate GPs and the triple bottom line dimensions of SP. For practitioners, the results showed that companies could accomplish both profitability and sustainability if they are willing to continuously pay attention to environmental issues and strategically invest in cost-efficient and eco-friendly initiatives.

Originality/value

To the best of the authors’ knowledge, this research is one of the first to explore how OC and TQMPs, directly and indirectly, affect the relationship between GPs and the triple bottom line dimensions of SP. These results imply that OC and TQMPs have a significant indirect impact on the relationship between GPs and the SP dimensions.

Details

International Journal of Quality & Reliability Management, vol. 40 no. 6
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 27 November 2020

Sarita Prasad, Milen Baltov, Neelakanteswara Rao A. and Krishnanand Lanka

The paper aims to analyse the contextual relationship and dependency amongst enablers for lean manufacturing implementation in Bulgarian small and medium-sized enterprises (SMEs).

726

Abstract

Purpose

The paper aims to analyse the contextual relationship and dependency amongst enablers for lean manufacturing implementation in Bulgarian small and medium-sized enterprises (SMEs).

Design/methodology/approach

In this study, the interpretive structural modelling (ISM) technique was used to develop a hierarchical structural model for enablers. Also, the interpretive ranking process (IRP) was used to analyse and rank enablers with reference to performance variables. For the ISM approach, a structural self- integration matrix was developed with the help of experts’ suggestions and opinions. Cross-impact matrix multiplication applied to classification (MICMAC) analysis was used to analyse the relationship amongst enablers. A total of nine experts were chosen for collecting the primary data in which seven experts belong to the industry and two experts were academicians. The dominant relationship amongst the enablers was analysed through IRP modelling.

Findings

A total of 11 enablers were identified for the purpose of this study. The model shows that “leadership and commitment by management”, “human resource management”, “customer relation management”, “supplier relation management” and “information technology system” are the most significant enablers for lean implementation in Bulgarian SMEs as these are positioned at the bottom levels in ISM model. MICMAC analysis shows that five enablers fall in the independent factor, two enablers in linkage factor and four enablers in the dependant factor while there is no enabler in the autonomous factor. ISM and IRP models show that “continuous improvement” is an essential enabler for the successful implementation of lean in Bulgarian SMEs. This study also helps to explain the comparative analysis of ISM and IRP, which indicates that IRP is a more robust modelling approach than ISM, as it incorporates the relationship of enablers with performance variables.

Research limitations/implications

ISM and IRP modelling approaches are based solely on expert opinions and responses. This limitation can be overcome with the help of empirical study.

Practical implications

This study supports the professionals/experts to prioritise and manage enablers at strategic and tactical levels while implementing lean manufacturing practices in Bulgarian SMEs. The models developed in the study will be helpful for practitioners to understand and analyse the interdependence of enablers for lean manufacturing implementation.

Originality/value

This study helps to identify and prioritise enablers that affect lean manufacturing adoption using ISM and IRP approaches. Literature shows that numerous authors have used the ISM approach but the use of IRP approach is limited. The models were developed in the study, totally dependent on data collected from the experts to ensure their real-life validity.

Details

International Journal of Lean Six Sigma, vol. 12 no. 3
Type: Research Article
ISSN: 2040-4166

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