Modeling and analysis of FMS performance variables by fuzzy TISM
Journal of Modelling in Management
ISSN: 1746-5664
Article publication date: 11 February 2019
Issue publication date: 11 February 2019
Abstract
Purpose
The purpose of this paper is to identify the flexible manufacturing system performance variables and analyze the interactions among these variables. Interpretive structural modeling (ISM) has been reported for this but no study has been done regarding the interaction of its variables. Therefore, fuzzy TISM (total ISM) has been applied to deduce the relationship and interactions between the variables and driving and dependence power of these variables are examined by fuzzy MICMAC.
Design/methodology/approach
Fuzzy TISM and fuzzy MICMAC analysis have been applied to deduce the relationship and interactions among the variables and driving and dependence power of these variables are examined by fuzzy MICMAC.
Findings
In total, 15 variables have been identified from the extensive literature review. The result showed that automation, use of automated material handling, an effect of tool life and rework percentage have high driving power and weak dependence power in the fuzzy TISM model and fuzzy MICMAC analysis. These are also at the lowest level in the hierarchy in the fuzzy TISM model.
Originality/value
Fuzzy TISM model has been suggested for manufacturing industries with fuzzy MICMAC analysis. This proposed approach is a novel attempt to integrate TISM approach with the fuzzy sets. The integration of TISM with fuzzy sets provides flexibility to decision-makers to further understand the level of influences of one criterion over another, which was earlier present only in the form of binary (0, 1) numbers; 0 represents no influence and 1 represents influence.
Keywords
Citation
Jain, V. and Soni, V.K. (2019), "Modeling and analysis of FMS performance variables by fuzzy TISM", Journal of Modelling in Management, Vol. 14 No. 1, pp. 2-30. https://doi.org/10.1108/JM2-03-2018-0036
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited