A best-worst-method-based performance evaluation framework for manufacturing industry
A best-worst-method-based performance evaluation framework for manufacturing industry
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.
Best-worst method, Management, Manufacturing, Operations, Performance evaluation, Social and stakeholders
Khan, Sharfuddin Ahmed
0d099816-dcae-4f73-8a82-6ebd590e1f1b
Kusi-Sarpong, Simonov
a7e68240-2b34-456e-9849-c01bd10c68f7
Naim, Iram
a884787f-a95e-4497-897c-b1e3b8fa1615
Badri Ahmadi, Hadi
10b7cb9f-4f39-45ac-94b2-a03abcffa1cf
Oyedijo, Adegboyega
3119f912-48aa-4bda-9578-a08e2fcc5dd5
30 July 2021
Khan, Sharfuddin Ahmed
0d099816-dcae-4f73-8a82-6ebd590e1f1b
Kusi-Sarpong, Simonov
a7e68240-2b34-456e-9849-c01bd10c68f7
Naim, Iram
a884787f-a95e-4497-897c-b1e3b8fa1615
Badri Ahmadi, Hadi
10b7cb9f-4f39-45ac-94b2-a03abcffa1cf
Oyedijo, Adegboyega
3119f912-48aa-4bda-9578-a08e2fcc5dd5
Khan, Sharfuddin Ahmed, Kusi-Sarpong, Simonov, Naim, Iram, Badri Ahmadi, Hadi and Oyedijo, Adegboyega
(2021)
A best-worst-method-based performance evaluation framework for manufacturing industry.
Kybernetes.
(doi:10.1108/K-03-2021-0202).
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.
Text
FinalManuscriptBlind-R2
- Accepted Manuscript
More information
Accepted/In Press date: 27 June 2021
e-pub ahead of print date: 30 July 2021
Published date: 30 July 2021
Additional Information:
Publisher Copyright:
© 2021, Emerald Publishing Limited.
Keywords:
Best-worst method, Management, Manufacturing, Operations, Performance evaluation, Social and stakeholders
Identifiers
Local EPrints ID: 450256
URI: http://eprints.soton.ac.uk/id/eprint/450256
ISSN: 0368-492X
PURE UUID: d6ab794b-1cea-48c3-87c6-462572908d8d
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Date deposited: 19 Jul 2021 16:37
Last modified: 17 Mar 2024 06:41
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Contributors
Author:
Sharfuddin Ahmed Khan
Author:
Iram Naim
Author:
Hadi Badri Ahmadi
Author:
Adegboyega Oyedijo
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