Abstract
The purpose of this paper is to discover the lean strategies prioritization in Indian manufacturing industries. It also aims to select the best strategy for industries. It also helps to improve the performance of implemented lean strategies. This research provides a ranking of implemented lean strategies with grey relational analysis (GRA). Evaluating data were collected from seven different industrial experts in terms of four lean performance criteria such as cost, time, quality and flexibility. Here, fuzzy five Likert scale weighted methods are used which are integrated into the GRA with respect to weight the lean performance criteria. This study provides the priority of lean strategies based on selected criteria using the GRA method which is very effective, and the result will help decision-makers to recognize the best strategy in Indian manufacturing industries. To make results more effective, data were collected from 11 different manufacturing industries which will help in future and criteria can be more for a better result. Moreover, as an interesting proposal, the fuzzy linguistic environment may be further incorporated into the practical as per GRA results. In distinction to preceding research, it sets apart for priority based on the scores of GRA with performance criteria. Furthermore, there is very less work available in the literature with GRA for prioritization.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Eswaramoorthi M, Kathiresan GR, Prasad PSS, Mohanram PV (2011) A survey on lean practices in Indian machine tool industries. Int J Adv Manuf Technol 52(9–12):1091–1101
Sundar R, Balaji AN, Kumar RS (2014) A review on lean manufacturing implementation techniques. Procedia Eng 97:1875–1885
Seth D, Gupta V (2005) Application of value stream mapping for lean operations and cycle time reduction: an Indian case study. Prod Plan Control 16(1):44–59
Chan HK, Yin S, Chan FT (2010) Implementing just-in-time philosophy to reverse logistics systems: a review. Int J Prod Res 48(21):6293–6313
GarcÃa-Alcaraz JL, Oropesa-Vento M, Maldonado-MacÃas AA (2017) Kaizen and lean manufacturing. In: Kaizen planning, implementing and controlling. Springer, Cham, pp 1–21
Nordin N, Belal HM (2017) Change agent system in lean manufacturing implementation for business sustainability. Int J Supply Chain Manage 6(3):271–278
Thomas T, Sherman SR, Sawhney RS (2018) Application of lean manufacturing principles to improve a conceptual 238Pu supply process. J Manuf Syst 46:1–12
Tuli P, Shankar R (2015) Collaborative and lean new product development approach: a case study in the automotive product design. Int J Prod Res 53(8):2457–2471
Amin MA, Karim MA (2013) A time-based quantitative approach for selecting lean strategies for manufacturing organizations. Int J Prod Res 51(4):1146–1167
Viagi AF, Panizzolo R, Biazzo S (2017) Enablers and constraints in implementing lean manufacturing: evidence from Brazilian SMEs. J Lean Syst 2(3):64–86
Siddiquee AN, Khan ZA, Mallick Z (2010) Grey relational analysis coupled with principal component analysis for optimisation design of the process parameters in in-feed centreless cylindrical grinding. Int J Adv Manuf Technol 46(9–12):983–992
Mehat NM, Kamaruddin S, Othman AR (2014) Hybrid integration of Taguchi parametric design, grey relational analysis, and principal component analysis optimization for plastic gear production. Chin J Eng
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Chahal, V., Narwal, M.S. (2019). A Theoretical Analysis for Prioritization of Lean Strategies: A Survey of Indian Manufacturing Industries. In: Shanker, K., Shankar, R., Sindhwani, R. (eds) Advances in Industrial and Production Engineering . Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-6412-9_35
Download citation
DOI: https://doi.org/10.1007/978-981-13-6412-9_35
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-6411-2
Online ISBN: 978-981-13-6412-9
eBook Packages: EngineeringEngineering (R0)