Human Resources Manager Selection Based on Fuzzy and Intuitionistic Fuzzy Numbers for Logistics Companies

Yıl 2022, Cilt: 4 Sayı: 2, 254 - 286, 28.12.2022

Karahan Kara , Sercan Edinsel , Galip Cihan Yalçın

https://doi.org/10.54410/denlojad.1211835

Cited By: 1

Öz

Qualified managers are needed for the systematic functioning of logistics management applications. In logistics companies, the human resources manager takes part in determining the amount of personnel needed, supplying personnel, and creating personnel task forms. For successful human resources management, a qualified human resources manager should be selected. In the literature, it is seen that the manager selection problem is handled with multi criteria decision making (MCDM) methods. The aim of this research is to determine the problem criteria of human resources manager selection for logistics companies and to apply them with hybrid MCDM methods. With the in-depth literature review, ten criteria were determined for the logistics company human resources manager selection problem. The intuitionistic fuzzy weighted averaging (IFWA) method was used to weight the criteria. The fuzzy multi attribute ideal-real comparative analysis (F-MAIRCA) method was applied for the ranking of the four candidate managers. The application was made on a logistics company operating in Turkey. Research methods are based on fuzzy and intuitionistic fuzzy numbers. As a result of the study, the most important criterion in the selection of logistics human resources manager was determined as the experience criterion. Among the four candidates, the first candidate was seen as the best manager candidate. Suggestions have been developed for logistics companies, human resources manager candidates and researchers based on the research outputs. In addition, with this research, the IFWA and F-MAIRCA hybrid method has been brought to the literature.

Anahtar Kelimeler

Manager Selection Problem, Fuzzy Logic, Intuitionistic Fuzzy Numbers, F-MAIRCA, IFWA

HUMAN RESOURCES MANAGER SELECTION BASED ON FUZZY AND INTUITIONISTIC FUZZY NUMBERS FOR LOGISTICS COMPANIES

Öz

Lojistik yönetim fonksiyonlarının sistematik işlemesi için nitelikli yöneticilere ihtiyaç duyulmaktadır. Lojistik firmalarda insan kaynakları yöneticisi personel ihtiyacının belirlenmesi, personel temini ve personel görev formlarının oluşturulmasını rol almaktadır. Başarılı insan kaynakları yönetimi için nitelikli insan kaynakları yöneticisi seçimi yapılmalıdır. Literatürde yönetici seçim problemini çok kriterli karar verme yöntemleriyle ele alındığına rastlanmaktadır. Bu araştırmanın amacı lojistik firmalar için insan kaynakları yöneticisi seçim problem kriterlerinin belirlenmesi ve hibrit ÇKKV yöntemleriyle uygulanmasıdır. Derinlemesine yapılan literatür incelemesi sonucunda lojistik firma insan kaynakları yöneticisi için on kriter belirlenmiştir. Kriterlerin ağırlıklandırılmasında IFWA yöntemi uygulanmıştır. Dört aday yöneticinin sıralamasında ise F-MAIRCA yöntemi uygulanmıştır. Araştırmaya ait uygulama Türkiye’de faaliyet gösteren bir lojistik firma üzerinde yapılmıştır. Araştırma yöntemleri bulanık ve sezgisel bulanık sayılara dayalı ele alınmıştır. Çalışma sonucunda lojistik insan kaynakları yönetici seçiminde en önemli kriter tecrübe kriteri olarak belirlenmiştir. Dört aday arasından birinci aday en iyi yönetici adayı olarak görülmüştür. Araştırma sonucunda lojistik firmalara, insan kaynakları yönetici adaylarına ve araştırmacılara yönelik öneriler geliştirilmiştir. Ayrıca bu araştırmayla IFWA ve F-MAIRCA hibrit yöntemi literatüre kazandırılmıştır.

Anahtar Kelimeler

Yönetici Seçim Problemi, Bulanık Mantık, Sezgisel Bulanık Mantık, IFWA, F-MAIRCA, Manager Selection Problem, Fuzzy Logic, Intuitionistic Fuzzy Numbers

Kaynakça

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