Analyzing the factors affecting the flexibility in FMS using weighted interpretive structural modeling (WISM) approach
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DOI: 10.1007/s13198-016-0443-1
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Cited by:
- 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.
- Chowdhury, Nighat Afroz & Ali, Syed Mithun & Mahtab, Zuhayer & Rahman, Towfique & Kabir, Golam & Paul, Sanjoy Kumar, 2019. "A structural model for investigating the driving and dependence power of supply chain risks in the readymade garment industry," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 102-113.
- M. Suresh & G. Mahadevan & R. Dev Abhishek, 2019. "Modelling the factors influencing the service quality in supermarkets," 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. 10(6), pages 1474-1486, December.
- Ifra Aziz Khan Niazi & Tehmina Fiaz Qazi & Shabana Naveed & Mashari Mahmood, 2023. "Analysing the Challenges of Insurance Companies in Pakistan While Co-Creating the Service Value," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 9(1), pages 113-130, March.
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Keywords
Flexible manufacturing system (FMS); Flexibility; Key variables; Interpretive structural modeling (ISM); Weighted interpretive structural modeling (WISM); Effectiveness index (EI);All these keywords.
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