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

Kamal Kumar Mittal, Pramod Kumar Jain and Dinesh Kumar

International Journal of Logistics Systems and Management, 2018, vol. 30, issue 4, 521-537

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.

Keywords: reconfigurable manufacturing system; RMS; analytic hierarchy process; AHP; reliability; modular products; modularity; reconfigurable machine tool; RMT. (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=93586 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijlsma:v:30:y:2018:i:4:p:521-537

Access Statistics for this article

More articles in International Journal of Logistics Systems and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().