An Interactive Decision-Making Method for Third-Party Logistics Provider Selection under Hybrid Multi-Criteria

Abstract

Due to the complexity and uncertainty of third-party logistics (3PL) provider selection circumstances, the research on the hybrid multi-criteria decision-making (HMCDM) method with fuzzy hesitation information is becoming more and more important. Based on symmetry principles, both the objectivity of the decision information and the subjectivity of decision makers’ (DMs) preferences should be considered in the HMCDM method. In this paper, a novel interactive decision-making method to deal with the 3PL provider selection problem of hesitant fuzzy sets, intuitionistic fuzzy sets and real numbers is developed. We first investigate the positive and negative ideal solutions of the alternative and the satisfaction degree of the DMs under hybrid multi-criteria circumstances. Then, the interactive HMCDM models based on satisfaction degrees are established, which can use objective decision information to rank alternatives and, symmetrically, the preference information of the DMs is also taken into account. DMs can modify their preference information using the models and thus make the most reasonable selection of 3PL provider. Finally, the case analysis and sensitivity analysis show that the change of parameter and the setting of the satisfaction lower limit will not affect the optimal rank of alternatives, and the feasibility of the proposed method is confirmed.

Use of a Refined Corporate Social Responsibility Model to Mitigate Information Asymmetry and Evaluate Performance

“…MCDM methods have been applied in various fields, from engineering to business [37], owing to their scientific approach when simultaneously considering multiple criteria. For instance, previous research has applied MCDM methods to evaluating practical problems as follows: (1) vendor evaluation problem [38], (2) corporate governance [36], (3) risk management in construction projects [39], third-party logistics provider evaluation [40], and (4) construction supplier selection [41].…”

A New Logarithm Methodology of Additive Weights (Lmaw) for Multi-Criteria Decision-Making: Application in Logistics

“…The combination of fuzzy AHP-TOPSIS is seen as a popular framework [18]. However, some contributors (e.g., [68]) have also considered the degree of indeterminacy and carried out a more granular analysis using hesitant and intuitionist fuzzy sets. For enhancing clarity and preciseness in analysis, the concept of rough numbers has also been used significantly.…”

An Overview of Fuzzy Techniques in Supply Chain Management: Bibliometrics, Methodologies, Applications and Future Directions

“…presented a strategy-aligned fuzzy SMART approach to solve a supplier selection problem. Liu et al (2020) proposed an interactive MCDM method with intuitionistic fuzzy sets, hesitant fuzzy sets and real numbers to deal with a third-party logistics provider selection problem. Mousavi et al (2019) presented an MCDM model involving interval-valued intuitionistic fuzzy sets to handle the uncertainties when determining locations.…”

“…The large number of papers concerning supplier selection suggests that fuzzy methods are applicable to supplier evaluation in uncertain environments. Transportation management: 10 papers used fuzzy methods to evaluate and select transport companies (Kumar & Anbanandam, 2020;Liu et al, 2020;Liu et al, 2019aLiu et al, , 2019bHaldar et al, 2017;Li et al, 2012a;Kulak & Kahraman, 2005;Pamucar et al, 2019;Wen et al, 2019;Yazdani et al, 2017). 5 articles focused on solving the freight routing problem by fuzzy approaches (Sun, 2020a(Sun, , 2020bSun & Li, 2019;Sun et al, 2019a;Giallanza & Puma, 2020).…”