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Identification of performance variables which affect the FMS: a state-of-the-art review

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  • Vineet Jain
  • Tilak Raj

Abstract

The aim of this research is the identification of performance variables which affect the flexible manufacturing system (FMS). The study was performed to find the variables especially for performance, productivity and flexibility of FMS. Recognition of variables took place from the literature and experts opinions from the manufacturing industry. The 15 performance variables were identified and three factors, i.e., quality, productivity and flexibility, were extracted, which involves the performance of FMS. The 20 productivity variables were identified and four factors, i.e., people, quality, machine, and flexibility, were extracted, which involves the productivity of FMS. Fifteen variables were identified and four factors, i.e., production flexibility, machine flexibility, product flexibility, and volume flexibility, were extracted, which affect the flexibility of FMS. This research provides the opportunity to management for understanding the factors or variables for enhancement of performance of their manufacturing firms.

Suggested Citation

  • Vineet Jain & Tilak Raj, 2018. "Identification of performance variables which affect the FMS: a state-of-the-art review," International Journal of Process Management and Benchmarking, Inderscience Enterprises Ltd, vol. 8(4), pages 470-489.
    • Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:4:p:470-489
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    Cited by:

    1. Sandhya Dixit & Suman Gothwal & Tilak Raj, 2022. "A LAPTOP methodology to evaluate the transition of CMS into FMS: a case study," 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. 13(1), pages 516-534, February.

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