A New Hybrid Fuzzy Psi-Piprecia-Cocoso McDm Based Approach to Solving the Transportation Company Selection Problem

Abstract

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 CoCoSo 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.

Determining the Riskiest Production Area Using Integrated Criteria Weights

“…Ulutaş et al implemented Fuzzy Pivot Pairwise Relative Criteria Importance Assessment (Fuzzy-PIPRECIA), Fuzzy PSI and Fuzzy CoCoSo in order to select the appropriate company for retailers in Turkey, within the scope of ready-made clothing transportation. The subjective weights of the criteria taken into account were obtained with the Fuzzy-PIPRECIA method, the Innovation Forever Publishing Group J Mod Ind Manuf 2022; 1: 3 5/15 objective weights of the criteria were determined with the Fuzzy PSI method, and alternative transportation companies were ranked according to their performance using Fuzzy CoCoSo [35] . Chen et al carried out a study by integrating rough numbers, Shannon Entropy, TOPSIS and PSI methods for a product design concept evaluation.…”

Evaluation of performance levels of students for moodle learning management system in terms of usability Criteria with PSI-Entropy-Marcos integration

“…(2021), Türkiye'de perakendeciler için, hazır giyim taşımacılığı kapsamında uygun firma seçimi amacıyla, Bulanık Pivot İkili Göreli Ölçüt Önem Değerlendirmesi (Fuzzy Pivot Pairwise Relative Criteria Importance Assessment-Fuzzy-PIPRECIA), Bulanık PSI ve Bulanık Birleşik Uzlaşma Çözümü (Fuzzy Combined Compromise Solution-Fuzzy-CoCoSo) yöntemlerini uygulamışlardır. Bulanık-PIPRECIA yöntemi ile dikkate alınan kriterlerin öznel ağırlıkları elde edilmiş, Bulanık PSI yöntemi ile kriterlerin nesnel ağırlıkları belirlenmiş, Bulanık CoCoSo kullanılarak alternatif taşımacılık şirketleri performanslarına göre sıralanmıştır [21]. Chen ve diğ.…”

A Systematic Review of Analytic Hierarchy Process Applications to Solve Transportation Problems: From 2003 to 2022

“…At the same time, there is a focus on maintaining different transportation modes (Seker andAydin, 2020, Hamurcu andEren, 2020). For instance, selecting a decent transportation enterprise may be biased due to potential interconnected challenges like delivering on time but cost-effectiveness, making decision-making more challenging (Ulutaş et al, 2021). Also, sustainability in transportation has made decision-makers evaluate and redesign their processes considering sustainable development indicators.…”