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Optimal selection of modular products in reconfigurable manufacturing systems using analytic hierarchy process

Author

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  • Kamal Kumar Mittal
  • Pramod Kumar Jain
  • Dinesh Kumar

Abstract

Reconfigurable manufacturing systems (RMS) are considered as a major resource of providing variable production capacities and capabilities by different manufacturing companies. To fulfil the market requirement variety of a modular product, manufactured in a reconfigurable manufacturing system, a methodology for optimal selection of modular products in reconfigurable manufacturing systems using analytic hierarchy process (AHP) is proposed. The analytic hierarchy process is a theory of measurement through pair-wise comparisons and relies on the decisions of experts to obtain priority scales. The comparisons are made using a scale of absolute judgments that shows how much better one component is than another with respect to a given attribute. AHP is also helpful in taking decision when both qualitative and quantitative attributes are in a system. A case study is given to understand the applicability of the proposed methodology on a given system.

Suggested Citation

  • Kamal Kumar Mittal & Pramod Kumar Jain & Dinesh Kumar, 2018. "Optimal selection of modular products in reconfigurable manufacturing systems using analytic hierarchy process," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 30(4), pages 521-537.
    • Handle: RePEc:ids:ijlsma:v:30:y:2018:i:4:p:521-537
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    Cited by:

    1. Vijay Pereira & Umesh Bamel, 2023. "Charting the managerial and theoretical evolutionary path of AHP using thematic and systematic review: a decadal (2012–2021) study," Annals of Operations Research, Springer, vol. 326(2), pages 635-651, July.

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