Campus Units
Industrial and Manufacturing Systems Engineering, Bioeconomy Institute (BEI)
Document Type
Article
Publication Version
Published Version
Publication Date
3-10-2021
Journal or Book Title
Logistics
Volume
5
Issue
1
First Page
15
Research Focus Area(s)
Operations Research
DOI
10.3390/logistics5010015
Abstract
The importance of considering forward and backward flows simultaneously in supply chain networks spurs an interest to develop closed-loop supply chain networks (CLSCN). Due to the expanded scope in the supply chain, designing CLSCN often faces significant uncertainties. This paper proposes a fuzzy multi-objective mixed-integer linear programming model to deal with uncertain parameters in CLSCN. The two objective functions are minimization of overall system costs and minimization of negative environmental impact. Negative environmental impacts are measured and quantified through CO2 equivalent emission. Uncertainties include demand, return, scrap rate, manufacturing cost and negative environmental factors. The original formulation with uncertain parameters is firstly converted into a crisp model and then an aggregation function is applied to combine the objective functions. Numerical experiments have been carried out to demonstrate the effectiveness of the proposed model formulation and solution approach. Sensitivity analyses on degree of feasibility, the weighing of objective functions and coefficient of compensation have been conducted. This model can be applied to a variety of real-world situations, such as in the manufacturing production processes.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright Owner
The Author(s)
Copyright Date
2021
Language
en
File Format
application/pdf
Recommended Citation
Hu, Zhengyang; Parwani, Viren; and Hu, Guiping, "Closed-Loop Supply Chain Network Design under Uncertainties Using Fuzzy Decision Making" (2021). Industrial and Manufacturing Systems Engineering Publications. 267.
https://lib.dr.iastate.edu/imse_pubs/267
Comments
This article is published as Hu, Zhengyang, Viren Parwani, and Guiping Hu. "Closed-Loop Supply Chain Network Design under Uncertainties Using Fuzzy Decision Making." Logistics 5, no. 1 (2021): 15. DOI: 10.3390/logistics5010015. Posted with permission.