A two-stage robust programming approach to demand-driven disassembly planning for a closed-loop supply chain system
| Autor: | Hsiao-Fan Wang, Yen-Shan Huang |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Structure (mathematical logic)
Mathematical optimization Engineering business.industry Strategy and Management Supply chain Compromise media_common.quotation_subject Volume (computing) Time horizon Reverse logistics Management Science and Operations Research Industrial and Manufacturing Engineering Product (business) Programming paradigm Systems engineering business media_common |
| Zdroj: | International Journal of Production Research. 51:2414-2432 |
| ISSN: | 1366-588X 0020-7543 |
| DOI: | 10.1080/00207543.2012.737940 |
| Popis: | The closed-loop supply chain system, which integrates forward and reverse logistics, is a desirable policy for retaining recoverable resources and extending the life cycles of products. In this study, we propose a methodology to contend with a demand-driven disassembly planning problem under a closed-loop supply chain system. A two-stage robust programming model is developed correspondingly, such that multiple products with a hierarchical product's structure are disassembled to satisfy uncertain demands in multiple periods. The objective of the model is to determine a robust decision for recycle volume and timing of each type of end-of-life (EOL) product, as well as recovery strategies. The results provide two-stage decisions by considering future scenarios of periodic demands at the beginning of a planning horizon. The first-stage decision is to determine a compromise solution that is close to the optimal solution for every scenario while retaining a certain level of infeasibility of constraints, such as... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
| Nepřihlášeným uživatelům se plný text nezobrazuje | K zobrazení výsledku je třeba se přihlásit. |