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An integrated fuzzy-based multi-criteria decision-making approach for the selection of an effective manufacturing system: A case study of Indian manufacturing company

Ram Prakash (Mechanical Engineering Department, National Institute of Technology, Kurukshetra, India)
Sandeep Singhal (Mechanical Engineering Department, National Institute of Technology, Kurukshetra, India)
Ashish Agarwal (Mechanical Engineering Department, School of Engineering and Technology, Indira Gandhi National Open University, New Delhi, India)

Benchmarking: An International Journal

ISSN: 1463-5771

Article publication date: 5 February 2018

438

Abstract

Purpose

The research paper presents analysis and prioritization of barriers influencing the improvement in the effectiveness of manufacturing system. The purpose of this paper is to develop an integrated fuzzy-based multi-criteria decision-making (F-MCDM) framework to assist management of the case company in the selection of most effective manufacturing system. The framework helps in prioritizing the manufacturing systems on the basis of their effectiveness affected by the barriers.

Design/methodology/approach

In this paper, on the basis of experts’ opinion, five barriers have been identified in a brain-storming session. The problem of prioritization of manufacturing system is a multi-criteria decision-making (MCDM) problem and hence is solved by using the F-MCDM approach using dominance matrix.

Findings

Manufacturing systems’ effectiveness for Indian industries is influenced by barriers. The prioritization of manufacturing systems depends on qualitative factor decision-making criteria. Among the manufacturing systems, leagile manufacturing system is given the highest priority followed by lean manufacturing system, agile manufacturing system, flexible manufacturing system and cellular manufacturing system.

Research limitations/implications

The selection of an appropriate manufacturing system plays a vital role for sustainable growth of the manufacturing company. In the present work, barriers which influence the effectiveness of manufacturing system have been identified. On the basis of degree of influence of barriers on the effectiveness of the manufacturing system, five alternative manufacturing systems are prioritized. The framework will help the management of the case company to take reasonable decision for the adoption of the appropriate manufacturing system.

Practical implications

The results of the research work are very useful for the manufacturing companies interested in analyzing the alternative manufacturing systems on the basis of their effectiveness and their sensitivity toward various barriers. The management of Indian manufacturing company will take decision to adopt a manufacturing system whose effectiveness is least sensitive toward barriers. Effectiveness of such manufacturing system will improve with time without having retardation due to barriers. With improved effectiveness of the manufacturing system, the manufacturing company would be able to survive with global competition. The result of the present work is based on the inputs from the case company and may vary for the other manufacturing company. In the present work, only five alternative manufacturing systems and five barriers have been considered. To obtain the better result, MCDM approach with more number of alternative manufacturing systems and barriers might be considered.

Originality/value

The research work is based on the fuzzy analytic hierarchy process framework and on the case study conducted by the authors. The work carried out is original in nature and based on the real-life case study.

Keywords

Citation

Prakash, R., Singhal, S. and Agarwal, A. (2018), "An integrated fuzzy-based multi-criteria decision-making approach for the selection of an effective manufacturing system: A case study of Indian manufacturing company", Benchmarking: An International Journal, Vol. 25 No. 1, pp. 280-296. https://doi.org/10.1108/BIJ-06-2016-0092

Publisher

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Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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