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.
Purpose – The purpose of this paper is to report a pilot study on lean awareness and implementation using the survey data collected from about 32 industries situated in western and eastern region of India. Design/methodology/approach – A survey instrument containing 45 statements was designed to assess respondents’ attitude and awareness toward lean practices and to explore the level of lean implementation in the organization. The instrument was distributed personally or through mail to the employees of 32 industries and they were supported for any query about the questions. Descriptive statistical analysis, hierarchical cluster analysis and ANOVA were used to analyze the data with SPSS statistical software. Findings – The research uncovers the fact that the current status of lean implementation and awareness in Indian industries is not so encouraging and the reason for that is, the human-related issues are not tackled properly. Quality and process technology, are the two key areas where industries are indicating inadequate efforts and poor insight. Research limitations/implications – The study conducted was limited to 32 industries situated in the eastern and western region of India. The data collected for few industries rely on only one respondent. Practical implications – The study identifies the lean implementation status based on nine lean assessment key areas and uncovers the major roadblocks for lean practices in Indian industries. It provides key insights to lean practicing industries and lean practitioner about the major barriers and key areas for the improvement. Originality/value – The paper reports comprehensive insights on current awareness and implementation of lean manufacturing (LM) in India. It also highlights the initiatives taken by Government of India to increase the competitiveness of the Indian industries, specifically of manufacturing sector, through the adoption of LM techniques. This would provide a platform for carrying out a detailed research in LM in Indian context.
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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.