An Integrated Fuzzy-based Multi Criteria Decision Making System to Selection of Lean Tool Performance: An Indian Automotive Parts Manufacturing Company Case Study

  • Basant Chaurasia 1 IIMT Engineering College, Meerut, India
  • Dixit Garg Department of Mechanical Engineering, NIT, Kurukshetra, Haryana-136119, India
  • Ashish Agarwal Department of Mechanical Engineering, IGNOU, New Delhi, India;

Abstract

Selecting virtuous lean manufacturing tool is an essential requirement in competitive scenario due to vagueness and uncertainty
in multi-criteria, multi-factor decision environment. Taking meticulous selection of lean tools value stream mapping, poka-yoke,
single minute exchange of die, kaizen and 5S in specific multi factors leadership & management, financial capabilities, skill and
expertise, organizational culture and manufacturing strategy. This case study is witnessed without weightage criteria and with
weightage value stream mapping is best tool and appropriate lean tool in fuzzy based multi criteria decision making system using
dominance matrix.

Published
2020-03-25
How to Cite
Basant Chaurasia, Dixit Garg, & Ashish Agarwal. (2020). An Integrated Fuzzy-based Multi Criteria Decision Making System to Selection of Lean Tool Performance: An Indian Automotive Parts Manufacturing Company Case Study. Global Journal of Enterprise Information System, 7(4), 23-31. Retrieved from https://gjeis.com/index.php/GJEIS/article/view/365
Issue
Vol. 7 No. 4 (2015): EIS Turning Ups into Start-Ups
Section
Case Study Based Papers (CSBP)

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