A road map for the implementation of integrated JIT-lean practices in Indian manufacturing industries using the best-worst method approach

ABSTRACT

This paper aims at developing a road map to assist decision-makers to facilitate the successful implementation of the integrated Just-in-Time (JIT)-lean practices for improved performance of the Indian manufacturing industries. This study identifies twenty-six practices of the integrated JIT-lean manufacturing system through a comprehensive literature survey and experts’ opinion and further classifies them into five main categories. The importance of these practices is established using a recently developed novel multi-criteria decision making (MCDM) method i.e. Best-Worst method (BWM). Further, a sensitivity analysis is also carried out to ensure that the ranking of the various practices derived by the BWM is robust. The results of this study reveal that out of five categories, organizational factors (P1) and human factors (P5) are the most important and the least important practices respectively. While, among the twenty-six practices of the sub-category, management commitment (P11) and employee empowerment (P51) are the most and the least significant practices respectively. Finally, a road map for the integrated JIT-lean practices is developed to enable managers and practitioners to understand the influence of the various practices in the successful adoption of the JIT-lean manufacturing system.

KEYWORDS:

• JIT practices
• lean practices
• JIT-lean manufacturing system
• ranking
• Best-Worst method (BWM)
• multi-criteria decision-making (MCDM)

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Faisal Talib

Faisal Talib is an Associate Professor at Department of Mechanical Engineering, Zakir Husian College of Engineering & Technology, Aligarh Muslim University (AMU), Aligarh, (U.P.), India. He holds PhD degree from Indian Institute of Technology, Roorkee and Masters in Industrial and Production Engineering from AMU. He has more 23 years of teaching experience and has more than 95 publications to his credit in national/international journals and conferences. His special interest includes Quality Engineering, TQM, Service Quality, Quality Concepts, Industrial and Production Management, Operations Management, and Quality Management in Service Industries. Many of his research papers are published in reputed journals like Service Business (SBUS), Total Quality Management & Business Excellence (TQMBE), The TQM Journal, Benchmarking: An International Journal (BIJ), Journal of Systems and Information Technology (JSIT), Journal of Foodservice Business Research (JFBR), International Journal of Quality and Reliability Management (IJQRM), Services Marketing Quarterly (SMQ) to name a few.

Mohammad Asjad

Mohammad Asjad is an Associate Professor with the Discipline of Mechanical Engineering at Jamia Millia Islamia, New Delhi. He is associated with Industrial Engineering Research Group of the Department, since 10 January 2011. He graduated in Mechanical Engineering from Z.H.C.E.T (AMU, Aligarh) and later did his Masters in Industrial and Production Engineering from Z.H.C.E.T (AMU, Aligarh). Subsequently, he completed his Ph.D. in the area of Maintenance engineering from Indian Institute of Technology Delhi (IITD). His research interests are: Strategic Asset Management, Reliability Engineering, Maintenance Management, Manufacturing Operations Planning, Life Cycle Costing, Soft computing and Applied Artificial Intelligence. He has published several research articles at various national and international journals and conferences of repute. He is also on the panel of Editorial board and reviewer for various reputed international journals and conferences.

Rajesh Attri

Rajesh Attri is an Assistant Professor in the Mechanical Engineering Department at the J.C. Bose University of Science and Technology YMCA, Faridabad (formerly YMCA University of Science and Technology, Faridabad), Haryana, India. He received his BE in Mechanical Engineering from the MD University, Rohtak, Haryana, India, in 2005 with honors and his MTech in Mechanical Engineering (Manufacturing and Automation) from the YMCA Institute of Engineering, Faridabad (Haryana), India, in 2008 with honors. He completed his PhD from the YMCA University of Science and Technology, Faridabad. He has published 60 papers in international journals and 25 papers in national and international conferences proceedings and reviewed many papers for international journals. His area of research is quality management, production system life cycle and application of MADM approaches in manufacturing environment.

Arshad Noor Siddiquee

Arshad Noor Siddiquee is a Professor in the Department of Mechanical Engineering at Jamia Millia Islamia (A Central University), New Delhi, India. He did both Ph.D. and M.Tech. from IIT Delhi. He has supervised several M.Tech. dissertations and currently he is supervising ten doctoral theses. His major research interest includes materials structure property correlation, welding engineering, machining and optimization of design and process parameters using the fuzzy modeling. He has published more than 100 articles in reputed journals. He has also coauthored four books related to engineering and one monograph as well.

Zahid A. Khan

Zahid A. Khan is a Professor in the Department of Mechanical Engineering at Jamia Millia Islamia (A Central University), New Delhi, India. He received his PhD in 2001 from Jamia Millia Islamia, New Delhi, India. His major research interest includes optimization of design and manufacturing processes parameters, ANN and fuzzy modeling, environmental ergonomics, etc. He has supervised five doctoral theses and many M.Tech. dissertations so far and currently he is supervising five doctoral theses. He has published more than 100 articles in reputed journals so far. He has also coauthored four books related to engineering and two monographs as well.