| Title |
Modeling and solving the waste valorization production and distribution scheduling problem |
| ID_Doc |
8742 |
| Authors |
Chagas, GO; Coelho, LC; Darvish, M; Renaud, J |
| Title |
Modeling and solving the waste valorization production and distribution scheduling problem |
| Year |
2023 |
| Published |
European Journal Of Operational Research, 306.0, 1 |
| DOI |
10.1016/j.ejor.2022.06.036 |
| Abstract |
Bio-based waste valorization is one of the current trends in municipal waste management. It decreases the amount of waste to be disposed of, reduces the sourcing of limited chemical compounds used in fertilizer production, and promotes a circular economy perspective vital in big cities. However, model-ing and optimizing a biorefinery plant's operations is challenging and requires innovative approaches and solutions. In this paper, we model and solve the integrated production and distribution scheduling problem faced by an industrial partner. We propose three models for the waste valorization production and distribution scheduling problem: a time-discretized integer linear program, and two mixed-integer linear program with continuous timing variables. Moreover, several powerful and problem-specific valid inequalities and variable reduction procedures are proposed. We study some variants of the problem and propose a simple heuristic algorithm that mimics the logic of a decision maker. Through a series of com-putational experiments, we determine how critical operational parameters affect the performance of the system and demonstrate how significant improvements can be achieved in our industrial partner's biore-finery plant.(c) 2022 Elsevier B.V. All rights reserved. |
| Author Keywords |
Distribution; Production scheduling; Waste valorization; Exact algorithm |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000903738500002 |
| WoS Category |
Management; Operations Research & Management Science |
| Research Area |
Business & Economics; Operations Research & Management Science |
| PDF |
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