Selecting green third party logistics providers for a loss-averse fourth party logistics provider in a multiattribute reverse auction
| Autor: | Shu-Cherng Fang, Mingqiang Yin, Xin Li, Min Huang, Xiaohu Qian |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Information Systems and Management
Operations research Third party Computer science 05 social sciences 050301 education 02 engineering and technology Extension (predicate logic) Interval (mathematics) Variance (accounting) Computer Science Applications Theoretical Computer Science Reverse auction Choquet integral Artificial Intelligence Control and Systems Engineering Prospect theory 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0503 education Software Realization (probability) |
| Zdroj: | Information Sciences. 548:357-377 |
| ISSN: | 0020-0255 |
| DOI: | 10.1016/j.ins.2020.09.011 |
| Popis: | Existing winner determination models tend to overlook the sustainable attributes of third party logistics (3PL) providers. This paper investigates a novel green winner determination problem that has several features, including (i) the sustainable attributes with conflicting and interactive properties of potential 3PLs, and (ii) the loss-averse behavior with an internal reference point of a fourth party logistics (4PL) provider. For the attributes with a combination of crisp data, interval numbers and intuitionistic 2-tuple linguistic terms, we integrate the prospect theory (PT) and Choquet integral with the “benefits, opportunities, costs and risks (BOCR)” framework to propose a novel PTC-BOCR solution method. Numerical experiments are conducted to illustrate the effectiveness and applicability of PTC-BOCR by comparing it with some known methods. Comparison analysis indicates that PTC-BOCR is robust with respect to the variance of 3PLs’ attribute values, while behavioral parameter analysis reveals that the loss-averse behavior of the 4PL is intensified as the difference of 3PLs varies. Managerial insights are also drawn for green 3PLs to win the auction. This study is a significant extension of traditional decision-making methods, which could benefit the realization of a sustainable logistics system in a cost-effective way for 4PLs. |
| Databáze: | OpenAIRE |
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