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dc.contributor.authorIc, Yusuf Tansel
dc.contributor.authorYurdakul, Mustafa
dc.date.accessioned2022-08-16T11:03:41Z
dc.date.available2022-08-16T11:03:41Z
dc.date.issued2021
dc.identifier.issn2364-4966en_US
dc.identifier.urihttp://hdl.handle.net/11727/7365
dc.description.abstractThis study develops a multi-level hierarchical performance measurement model to measure a manufacturing firm's overall performance score by grading its success levels in critical operations and combining them. Linking overall performance score to local grades of a manufacturing firm in critical operations requires placement of manufacturing goals in the performance measurement model. The relative importance scores of the components at any level in the multi-level performance measurement model with respect to each component belonging to the immediately above level are determined using the fuzzy analytic hierarchy process (FAHP) method. The relative importance scores of the components are combined with success grades in seventeen pre-determined critical operations to obtain overall performance scores for manufacturing firms using the technique for order preference by similarity to ideal solution (TOPSIS) approach. In this study, scorecards are developed to guide scoring in each critical operation by checking levels of success in terms of practices, infrastructures, investments and actions. The developed performance measurement approach provides a structured decision-making environment with the scorecards and fixed hierarchy. Furthermore, the developed approach is more comprehensive in representing important issues necessary for obtaining realistic overall performance scores. For example, fuzzy numbers take into account vagueness (uncertainties) in the assignment of scores. Another advantage identified by the users is that the developed decision hierarchy can be adapted to new sectors or decision environments by adding new components or removing existing ones using the same overall structure and calculation steps.en_US
dc.language.isoengen_US
dc.relation.isversionof10.1007/s41066-020-00238-yen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPerformance measurementen_US
dc.subjectManufacturing firmsen_US
dc.subjectTrapezoidal fuzzy numbersen_US
dc.subjectFuzzy analytic hierarchy process (AHP)en_US
dc.subjectTechnique for order preference by similarity to ideal solution (TOPSIS)en_US
dc.titleDevelopment of a new trapezoidal fuzzy AHP-TOPSIS hybrid approach for manufacturing firm performance measurementen_US
dc.typearticleen_US
dc.relation.journalGRANULAR COMPUTINGen_US
dc.identifier.volume6en_US
dc.identifier.issue4en_US
dc.identifier.startpage915en_US
dc.identifier.endpage929en_US
dc.identifier.wos000693984100010en_US
dc.identifier.scopus2-s2.0-85107833633en_US
dc.contributor.orcID0000-0001-9274-7467en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergien_US
dc.contributor.researcherIDAGE-3003-2022en_US


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