Modelling the attributes affecting design and implementation of agile manufacturing system

Rahul Sindhwani and Vasdev Malhotra

International Journal of Process Management and Benchmarking, 2016, vol. 6, issue 2, 216-234

Abstract: Today's volatile market, which is influenced by global competition and changing customers' demands, has made the manufacturing companies to look for new manufacturing systems which can fulfil their requirements for global competition. Agile manufacturing systems (AMSs) are those systems which are capable to meet the requirements of modern manufacturing industries. But adoption and implementation of AMSs is not an easy task. There are certain attributes which not only influence the implementation process but also influence each other. The main objective of this paper is to identify and analyse these attributes. In the present work, these attributes have been identified through the literature, their ranking is done by a questionnaire-based survey and fuzzy agility evaluation (FAE) approach has been utilised in analysing their mutual interaction.

Keywords: agile manufacturing systems; attributes; fuzzy logic; manufacturing agility; modelling; fuzzy evaluation. (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.inderscience.com/link.php?id=75606 (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:ijpmbe:v:6:y:2016:i:2:p:216-234

Access Statistics for this article

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