Paper Info
Title
Integrating and extending data and decision tools for sustainable third-party reverse logistics provider selection
Abstract
Third-party reverse logistics provider (3PRLP) selection plays an important role in the operation and implemention of reverse logistics or reverse supply chains. Economic and cost based partner relationships are no longer acceptable for 3PRLPs or for organizations that seek to introduce sustainable supply chain management. Recent emphasis on sustainability has made 3PRLP evaluation and selection more complex. In order to advance this area of research and to help further incorporate sustainability into 3PRLPs selection modeling, a novel multi-stage, multi-method, multi-criteria approach is developed. Methodologically, this is the first time that neighborhood rough set (NRS) theory is integrated with TOPSIS and VIKOR techniques. Neighborhood rough set, as a data management and soft computation tool, can help reduce the number of 3PRLP to be evaluated and ranked using TOPSIS combined with VIKOR's compromise conception decision tools. A conceptual application is developed using business, environmental, and social factors within the context of reverse logistics management decisions. A sensitivity analysis evaluating various neighborhood rough set parameters is also introduced to investigate robustness of solutions using the multi-stage methodology. Methodological implications and future research and application directions conclude the paper.
Year
DOI
Venue
2019
10.1016/j.cor.2018.06.005
Computers & Operations Research
Keywords
Field
DocType
Reverse logistics,Sustainability,Third-party provider,Neighborhood rough set,TOPSIS,VIKOR,Multiple criteria decision making
Mathematical optimization,Ranking,Reverse logistics,Risk analysis (engineering),Rough set,Supply chain,TOPSIS,Compromise,Data management,Mathematics,Sustainability
Journal
Volume
ISSN
Citations 
110
0305-0548
0
PageRank 
References 
Authors
0.34
15
2
Name
Order
Citations
PageRank
Chunguang Bai121.72
joseph sarkis211411.34