Title: Modelling the attributes affecting design and implementation of agile manufacturing system

Authors: Rahul Sindhwani; Vasdev Malhotra

Addresses: Department of Mechanical Engineering, YMCA University of Science and Technology, Faridabad (HR), 121006, India ' Department of Mechanical Engineering, YMCA University of Science and Technology, Faridabad (HR), 121006, India

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.

DOI: 10.1504/IJPMB.2016.075606

International Journal of Process Management and Benchmarking, 2016 Vol.6 No.2, pp.216 - 234

Received: 31 Jan 2015
Accepted: 03 Mar 2015
Published online: 30 Mar 2016 *

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