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Evaluating the intensity of variables affecting flexibility in FMS by graph theory and matrix approach

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  • Vineet Jain
  • Tilak Raj

Abstract

The purpose of this paper is to investigate the intensity of variables of the flexible manufacturing system (FMS) which affect flexibility in FMS. The study was performed by conducting a cross-sectional survey within manufacturing firms in India through exploratory factor analysis (EFA) and graph theory and matrix approach (GTMA). By performing EFA, factor structure is identified whereas GTMA quantified the factor structure of a set of observed variables. GTMA is a multiple attribute decision making (MADM) methodology used to find the intensity of variables in an organisation. In this paper, EFA is applied to extract the factors in FMS by The Statistical Package for Social Sciences (SPSS 20) software and evaluation of intensity of variables affecting flexibility in FMS by GTMA. Fifteen variables are identified through literature, and four factors extracted, which involves the flexibility of FMS in production flexibility, machine flexibility, product flexibility, and volume flexibility.

Suggested Citation

  • Vineet Jain & Tilak Raj, 2015. "Evaluating the intensity of variables affecting flexibility in FMS by graph theory and matrix approach," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 19(2), pages 137-154.
    • Handle: RePEc:ids:ijisen:v:19:y:2015:i:2:p:137-154
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    Cited by:

    1. Jain, Vineet & Raj, Tilak, 2016. "Modeling and analysis of FMS performance variables by ISM, SEM and GTMA approach," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 84-96.

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