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| DOI | 10.1016/j.cie.2024.109927 |
| Scheduling and process planning for the dismantling shop with flexible disassembly mode and recovery level | |
| 发表日期 | 2024 |
| ISSN | 0360-8352 |
| EISSN | 1879-0550 |
| 起始页码 | 189 |
| 卷号 | 189 |
| 英文摘要 | The challenges of climate change and resource scarcity have led policymakers around the globe to strengthen the concept of circular economy. Legislation towards extended producer responsibility means that recovery of parts and material from end-of-life (EOL) products is increasingly imposed as a mandatory task for manufacturers across various industries. Consequently, EOL decision-making has emerged as a relevant topic in management science. Recent research has addressed the environmental impact of EOL operations by considering energy usage or carbon emissions from variable disassembly sequences and recovery options. This paper deals with selective disassembly planning and scheduling for multiple products in a dismantling shop and considers the environmental impact that results from the process planning stage. It extends previous formulations by considering flexible disassembly levels and modes. In the multi-objective optimization problem, there is a trade -off between potential time savings, the ecological impact of process-related emissions, and the environmental penalty associated with the recovery of damaged parts, unseparated modules, or unpurified materials. A mathematical formulation is presented and demonstrated using a case study from end-of-life engine disassembly. Next, a multi-objective genetic algorithm (MOGA) is developed and tested using synthetic disassembly problem data. As shown in computational experiments, MOGA outperforms the exact model in more complex problem settings and produces competitive results in a fraction of the time required by the commercial solver. |
| 英文关键词 | Disassembly; Scheduling; Remanufacturing; Multi-objective optimization; Genetic algorithm |
| 语种 | 英语 |
| WOS研究方向 | Computer Science ; Engineering |
| WOS类目 | Computer Science, Interdisciplinary Applications ; Engineering, Industrial |
| WOS记录号 | WOS:001176664400001 |
| 来源期刊 | COMPUTERS & INDUSTRIAL ENGINEERING
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| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/296947 |
| 作者单位 | Technische Universitat Dresden |
| 推荐引用方式 GB/T 7714 | . Scheduling and process planning for the dismantling shop with flexible disassembly mode and recovery level[J],2024,189. |
| APA | (2024).Scheduling and process planning for the dismantling shop with flexible disassembly mode and recovery level.COMPUTERS & INDUSTRIAL ENGINEERING,189. |
| MLA | "Scheduling and process planning for the dismantling shop with flexible disassembly mode and recovery level".COMPUTERS & INDUSTRIAL ENGINEERING 189(2024). |
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