Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/33082
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dc.contributor.authorKhan, Sharfuddinen_UK
dc.contributor.authorKusi-Sarpong, Simonoven_UK
dc.contributor.authorNaim, Iramen_UK
dc.contributor.authorAhmadi, Hadi Badri Ahmadien_UK
dc.contributor.authorOyedijo, Adegboyegaen_UK
dc.date.accessioned2021-08-13T00:00:19Z-
dc.date.available2021-08-13T00:00:19Z-
dc.date.issued2021-07-30en_UK
dc.identifier.urihttp://hdl.handle.net/1893/33082-
dc.description.abstractPurpose: 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% to 70% throughout the year. Management performance can be seen high in percentage in the first two 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.en_UK
dc.language.isoenen_UK
dc.publisherEmeralden_UK
dc.relationKhan S, Kusi-Sarpong S, Naim I, Ahmadi HBA & Oyedijo A (2021) A best-worst-method-based performance evaluation framework for manufacturing industry. Kybernetes. https://doi.org/10.1108/K-03-2021-0202en_UK
dc.rightsPublisher policy allows this work to be made available in this repository. Published in Kybernetes by Emerald. The original publication is available at: https://doi.org/10.1108/K-03-2021-0202. This article is deposited under the Creative Commons Attribution Non-commercial International Licence 4.0 (CC BY-NC 4.0). Any reuse is allowed in accordance with the terms outlined by the licence (https://creativecommons.org/licenses/by-nc/4.0/) To reuse the AAM for commercial purposes, permission should be sought by contacting permissions@emeraldinsight.com.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/en_UK
dc.subjectPerformance evaluationen_UK
dc.subjectbest worst methoden_UK
dc.subjectmanufacturingen_UK
dc.subjectoperationsen_UK
dc.subjectmanagementen_UK
dc.subjectsocial and stakeholders.en_UK
dc.titleA best-worst-method-based performance evaluation framework for manufacturing industryen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1108/K-03-2021-0202en_UK
dc.citation.jtitleKybernetesen_UK
dc.citation.issn0368-492Xen_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.funderUniversity of Southamptonen_UK
dc.author.emaila.oyedijo@stir.ac.uken_UK
dc.citation.date30/07/2021en_UK
dc.description.notesOutput Status: Forthcoming/Available Onlineen_UK
dc.contributor.affiliationUniversity of Sharjah, UAEen_UK
dc.contributor.affiliationUniversity of Southamptonen_UK
dc.contributor.affiliationMahatma Jyotiba Phule Rohilkhand Universityen_UK
dc.contributor.affiliationNational Taipei University of Technology (NTUT)en_UK
dc.contributor.affiliationUniversity of Hullen_UK
dc.identifier.scopusid2-s2.0-85111476855en_UK
dc.identifier.wtid1747305en_UK
dc.contributor.orcid0000-0002-0839-9277en_UK
dc.date.accepted2021-06-28en_UK
dcterms.dateAccepted2021-06-28en_UK
dc.date.filedepositdate2021-08-12en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionAMen_UK
local.rioxx.authorKhan, Sharfuddin|en_UK
local.rioxx.authorKusi-Sarpong, Simonov|en_UK
local.rioxx.authorNaim, Iram|en_UK
local.rioxx.authorAhmadi, Hadi Badri Ahmadi|en_UK
local.rioxx.authorOyedijo, Adegboyega|0000-0002-0839-9277en_UK
local.rioxx.projectProject ID unknown|University of Southampton|http://dx.doi.org/10.13039/501100000739en_UK
local.rioxx.freetoreaddate2021-08-12en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc/4.0/|2021-08-12|en_UK
local.rioxx.filenameFinalManuscriptBlind-R2.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source0368-492Xen_UK
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