Target setting and benchmarking by the possibility of selecting the closest alternative benchmark

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dc.authorscopusidFarhad Hosseinzadeh Lotfi / 6507921401
dc.authorwosidFarhad Hosseinzadeh Lotfi / KBC-3307-2024
dc.contributor.authorKameli, Mortaza
dc.contributor.authorDaneshian, Behrouz
dc.contributor.authorModarres Khiyabani, Farzin
dc.contributor.authorHosseinzadeh Lotfi, Farhad
dc.date.accessioned2025-04-18T10:10:19Z
dc.date.available2025-04-18T10:10:19Z
dc.date.issued2025
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractData envelopment analysis (DEA) stands out from other performance evaluation methods because it focuses on providing benchmarks. Benchmarking plays a vital role in improvement the performance of inefficient units, especially when classical models are combined with managerial perspectives, potentially resulting in a more feasible benchmark or target. Sometimes, choosing certain efficient units in the system as a benchmark and target isna't feasible from a management standpoint for inefficient units. This happens for various reasons, including the exclusivity of an efficient unit, the outlier status of an efficient unit, insufficient access to resources, or discrepancies with reality. Such units shouldna't be chosen as benchmark and target for inefficient units within the system. Therefore, disregarding such units in the benchmarking process based on the managera, s preference and opinion can contribute to better alignment with reality. Implementing this strategy reduces the disparity between actual and efficient performance. This paper presents a model designed to address these considerations. The model takes into consideration managerial opinions, enabling managers to identify and ignore specific efficient units during benchmarking. It then proposes alternative benchmarks closest in similarity to improve efficiency for the inefficient units. © The authors. Published by EDP Sciences, ROADEF, SMAI 2024.
dc.identifier.citationKameli, M., Daneshian, B., Khiyabani, F. M., & Lotfi, F. H. (2025). Target setting and benchmarking by the possibility of selecting the closest alternative benchmark. RAIRO-Operations Research, 59(1), 101-114.
dc.identifier.doi10.1051/ro/2024130
dc.identifier.endpage114
dc.identifier.issn28047303
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85214449807
dc.identifier.scopusqualityQ2
dc.identifier.startpage101
dc.identifier.urihttp://dx.doi.org/10.1051/ro/2024130
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6976
dc.identifier.volume59
dc.identifier.wosWOS:001390137300005
dc.identifier.wosqualityQ3
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorLotfi, Farhad Hosseinzadeh
dc.institutionauthoridFarhad Hosseinzadeh Lotfi / 0000-0001-5022-553X
dc.language.isoen
dc.publisherEDP Sciences
dc.relation.ispartofRAIRO - Operations Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBenchmarking
dc.subjectClosest Targets
dc.subjectDEA
dc.subjectDMU
dc.subjectManagerial Opinions
dc.subjectTarget Setting
dc.titleTarget setting and benchmarking by the possibility of selecting the closest alternative benchmark
dc.typeArticle

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