Abstract
In this paper, a multi-objective mathematical model is proposed for the design of a closed-loop supply chain (CLSC). A mixed-integer linear programming model is developed with environmental concerns. The proposed multi-objective optimization model captures the trade-off between the total cost, total revenue, and the environment impact. The obtained model helps in assessing the trade-off among different objectives and guides the decision makers to choose the preferred plan among the Pareto optimal solutions. The results show that our multi-objective model can be applied as an effective tool in design of closed supply chain. Meanwhile, a valuable sensitivity analysis is conducted to show the impact of variations of demand, return volume, and disposal rate on the network configuration and model performances.
| Original language | English |
|---|---|
| Pages (from-to) | 446-455 |
| Number of pages | 10 |
| Journal | Proceedings of the International Conference on Industrial Engineering and Operations Management |
| Issue number | November |
| State | Published - 2019 |
Bibliographical note
Publisher Copyright:© IEOM Society International.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Closed loop supply chain
- Facility location
- Mixed integer linear programming
- Multi-objective optimization model
ASJC Scopus subject areas
- Strategy and Management
- Management Science and Operations Research
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
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