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A best-worst-method-based performance evaluation framework for manufacturing industry

Sharfuddin Ahmed Khan (Industrial Engineering and Engineering Management, University of Sharjah, Sharjah, United Arab Emirates)
Simonov Kusi-Sarpong (University of Southampton, Southampton, UK)
Iram Naim (Mahatma Jyotiba Phule Rohilkhand University, Bareilly, India)
Hadi Badri Ahmadi (National Taipei University of Technology, Taipei, Taiwan)
Adegboyega Oyedijo (University of Hull, Hull, UK)

Kybernetes

ISSN: 0368-492X

Article publication date: 30 July 2021

Issue publication date: 22 November 2022

367

Abstract

Purpose

The purpose of paper is to develop a performance evaluation framework for manufacturing industry to evaluate overall manufacturing performance.

Design/methodology/approach

The best-worst method (BWM) is used to aid in developing a performance evaluation framework for manufacturing industry to evaluate their overall performance.

Findings

The proposed BWM-based manufacturing performance evaluation framework is implemented in an Indian steel manufacturing company to evaluate their overall manufacturing performance. Operational performance of the organization is very consistent and range between 60% and 70% throughout the year. Management performance can be seen high in the 1st and 2nd quarter of the financial year ranging from 70% to 80%, whereas a slight decrease in the management performance is observed in the 3rd and 4th quarter ranging from 60% to 70%. The social stakeholder performance has a peak in first quarter ranging from 80% to 100% as at start of financial year.

Originality/value

This paper utilized BWM, a MCDM method in developing a performance evaluation index that integrates several categories of manufacturing and evaluates overall manufacturing performance. This is a novel contribution to BWM decision-making application.

Keywords

Acknowledgements

Authors would like to thanks the considered case company management for their support in implementing our proposed performance evaluation framework.

Citation

Khan, S.A., Kusi-Sarpong, S., Naim, I., Ahmadi, H.B. and Oyedijo, A. (2022), "A best-worst-method-based performance evaluation framework for manufacturing industry", Kybernetes, Vol. 51 No. 10, pp. 2938-2963. https://doi.org/10.1108/K-03-2021-0202

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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