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A hybrid approach using ISM and modified TOPSIS for the evaluation of flexibility in FMS

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  • Vineet Jain
  • Tilak Raj

Abstract

The aim of this paper is to evaluate the flexibility in flexible manufacturing system (FMS). Two distinct modelling approaches have been employed. Flexibility and factors are identified through literature review, and a relationship is established in the opinion of experts from industries and academia. In this study, a hybrid model which employs interpretive structural modelling (ISM) and modified technique for order preference by similarity to ideal solution (TOPSIS) together, are proposed. ISM has been used to develop a hierarchical structure of flexibility. Modified TOPSIS has been used to evaluate the flexibility based on some factors. ISM model concluded that production flexibility has the more driving power than other flexibilities. Modified TOPSIS also evaluated that production flexibility is the most important flexibility in the FMS. The criteria weights are calculated by using the analytical hierarchy process (AHP).

Suggested Citation

  • Vineet Jain & Tilak Raj, 2015. "A hybrid approach using ISM and modified TOPSIS for the evaluation of flexibility in FMS," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 19(3), pages 389-406.
    • Handle: RePEc:ids:ijisen:v:19:y:2015:i:3:p:389-406
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    Citations

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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.
    2. Sandhya Dixit & Tilak Raj, 2018. "A Hybrid MADM Approach for the Evaluation of Different Material Handling Issues in Flexible Manufacturing Systems," Administrative Sciences, MDPI, vol. 8(4), pages 1-19, November.
    3. Rana Majumdar & P. K. Kapur & Sunil K. Khatri, 2016. "Assessment of environmental factors affecting software development process using ISM & MICMAC analysis," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 7(4), pages 435-441, December.
    4. Lu Han & Haijun Bao & Yi Peng, 2017. "Which Factors Affect Landless Peasants’ Intention for Entrepreneurship? A Case Study in the South of the Yangtze River Delta, China," Sustainability, MDPI, vol. 9(7), pages 1-18, July.
    5. Wen-Kuo Chen & Ching-Torng Lin, 2021. "Interrelationship among CE Adoption Obstacles of Supply Chain in the Textile Sector: Based on the DEMATEL-ISM Approach," Mathematics, MDPI, vol. 9(12), pages 1-24, June.

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