An integrated Multi-Criteria Decision Making and Multi-Choice Conic Goal Programming approach for customer evaluation and manager assignment

dc.contributor.authorDağistanlı, Hakan Ayhan
dc.contributor.authorÜstün, Özden
dc.date.accessioned2023-09-28T06:46:30Z
dc.date.available2023-09-28T06:46:30Z
dc.date.issued2023
dc.departmentMühendislik Fakültesi
dc.description.abstractCompanies adopt a customer-centric approach to maintain their competitive position or dominate the market. In this context, managers are pivotal in navigating the competitive markets in accomplishing these goals. Setting targets and conducting performance evaluations are vital for managers’ long-term success. This study aims to optimise customer evaluation and manager assignment in the defence industry. An integrated approach utilising the Analytical Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is employed to conduct a comprehensive market analysis and conduct this evaluation. A bi-objective integer programming model is formulated to maximise? total integrated scores and potential returns. The efficient number of visits is determined by combining Multi-Criteria Decision Making (MCDM) and Multi-Choice Conic Goal Programming (MCCGP). This study offers an objective alternative to traditional survey-based evaluations by proposing a novel decision support system for Goal-Based Performance Appraisals (GBPA) of managers. The proposed approach yields performance values that are considerably more reliable than questionnaire results. Moreover, the proposed decision support system can effectively benefit employees across diverse sectors, extending beyond the confines of the defence industry.
dc.identifier.doi10.1016/j.dajour.2023.100270
dc.identifier.issn2772-6622
dc.identifier.scopusqualityQ1
dc.identifier.urihttps:/dx.doi.org10.1016/j.dajour.2023.100270
dc.identifier.urihttps://hdl.handle.net/20.500.12451/10996
dc.identifier.volume8en_US
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Inc.
dc.relation.ispartofDecision Analytics Journal
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAnalytical Hierarchy Process
dc.subjectDefence industry
dc.subjectMulti-Choice Conic Goal Programming
dc.subjectMulti-Criteria Decision Making; Multi-objective programming
dc.subjectTOPSIS
dc.titleAn integrated Multi-Criteria Decision Making and Multi-Choice Conic Goal Programming approach for customer evaluation and manager assignment
dc.typeArticle

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