| Title |
Robust optimization of sustainable closed-loop supply chain considering carbon emission schemes |
| ID_Doc |
22105 |
| Authors |
Golpîra, H; Javanmardan, A |
| Title |
Robust optimization of sustainable closed-loop supply chain considering carbon emission schemes |
| Year |
2022 |
| Published |
|
| DOI |
10.1016/j.spc.2021.12.028 |
| Abstract |
In the context of the circular economy, this paper focuses on developing an optimal sustainable Closed-Loop Supply Chain (CLSC) by considering such Carbon Emission Schemes (CESs) as carbon cap, carbon cap-and-trade, and carbon tax. A risk-based robust mixed-integer linear programming is formulated using a scenario-based Conditional Value-at-Risk (CVaR) to deal with demand uncertainty. The results reveal that the model performance is affected by both the Decision-Maker's (DM's) risk-aversion and the CESs. However, in all the CESs, the more conservative the DM, the lower the cost performance, and the greater the cost/solution robustness. The carbon cap-and-trade policy not only has the best cost-performance but, ignoring the very small amount of cost robustness deficit compared to the carbon cap model, can also be considered acceptable in the case of robustness. The cost-saving that the carbon cap-and-trade policy brings to the optimistic DM is greater than that brings to the pessimistic one. However, different levels of the DM's risk aversion have a negligible effect on the cost increase of the carbon tax model compared to the carbon cap one.(c) 2022 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved. |
| Author Keywords |
Closed-loop supply chain; Robust optimization; Conditional value-at-risk; Sustainability; Carbon emission schemes; Circular economy |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000789137600022 |
| WoS Category |
Green & Sustainable Science & Technology; Environmental Studies |
| Research Area |
Science & Technology - Other Topics; Environmental Sciences & Ecology |
| PDF |
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