A NEW HYBRID FUZZY PSI-PIPRECIA-COCOSO MCDM BASED APPROACH TO SOLVING THE TRANSPORTATION COMPANY SELECTION PROBLEM

Creative Commons License

ULUTAŞ A., Popovic G., Radanov P., Stanujkic D., Karabasevic D.

TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY, cilt.27, sa.5, ss.1227-1249, 2021 (SSCI) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 27 Sayı: 5
  • Basım Tarihi: 2021
  • Doi Numarası: 10.3846/tede.2021.15058
  • Dergi Adı: TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, ABI/INFORM, Business Source Elite, Business Source Premier, Central & Eastern European Academic Source (CEEAS), ICONDA Bibliographic, Directory of Open Access Journals, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.1227-1249
  • Anahtar Kelimeler: MCDM, fuzzy PIPRECIA method, fuzzy PSI method, fuzzy CoCoSo method, hybrid model, transportation company selection, DECISION-MAKING PROBLEMS, PREFERENCE, CRITERIA, LOGISTICS, WEIGHTS, MODEL, AHP, CONSISTENCY, DESIGN, SET
  • İnönü Üniversitesi Adresli: Hayır

Özet

Nowadays, customers are not only interested in the quality of products, but they also want to have these products in a timely manner. The managers of an organization are faced with two problems when the distribution of products is in question, namely: (1) customers are usually geographically dispersed and (2) transportation should be performed in a cost-effective way. Although managers may have a significant experience and formal knowledge, decisions connected with the selection of an appropriate transportation company may very often be biased. For the purpose of avoiding making the inadequate decisions that might harm the operation of the organization, the application of a hybrid MCDM model is proposed in this paper. The proposed model consists of three fuzzy MCDM methods, including: the PIPRECIA, the PSI, and the Co-CoSo methods. The fuzzy-PIPRECIA method is used to achieve the subjective weights of criteria, whereas the fuzzy-PSI method is used to obtain the objective weights of criteria. Fuzzy-CoCoSo is utilized to rank alternative transportation companies according to their performances. The possibilities of the proposed hybrid model are tested on a real case study pointed at the selection of an appropriate company for the transportation of ready-garments to retailers in Turkey.