Evaluating key performance indicators of leagile manufacturing using fuzzy TISM approach

Leagile manufacturing strategy has emerged as one of the important strategy adopted by most of manufacturing organizations now a days. It has advantages of both lean as well as agile manufacturing system. Lean manufacturing tries to eliminate all different types of wastages like overproduction, inve...

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Bibliographic Details
Published in:International journal of system assurance engineering and management 2018-04, Vol.9 (2), p.427-439
Main Authors: Virmani, Naveen, Saha, Rajeev, Sahai, Rajeshwar
Format: Article
Language:English
Subjects:
Agile manufacturing
Business metrics
Consultation
Engineering
Engineering Economics
Graph theory
Indicators
Just in time
Lean manufacturing
Literature reviews
Logistics
Marketing
Organization
Original Article
Quality Control
Reliability
Safety and Risk
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Summary:Leagile manufacturing strategy has emerged as one of the important strategy adopted by most of manufacturing organizations now a days. It has advantages of both lean as well as agile manufacturing system. Lean manufacturing tries to eliminate all different types of wastages like overproduction, inventory, unnecessary motion etc., while agile manufacturing focus on changing the production system as per the requirements of the customer and provide customized products within short span of time. Lean manufacturing focuses on no inventory and try to implement Just in Time methodology but for the system to be agile, there should be at least some inventory in store so that production can be started as soon as customer order is achieved. In this paper, key performance indicators (KPI) of leagile manufacturing are found by literature review and in consultation of experts and academicians working in the concerned field. Fuzzy TISM approach has been applied to find levels of different KPI’S. MICMAC analysis has been made to analyze the KPI’S and categorize them as autonomous, dependent, linkage, independent etc. on the basis of driving and dependence power. Finally, digraph is drawn to show relationship between various KPI’s.
ISSN:0975-6809
0976-4348
DOI:10.1007/s13198-017-0687-4