Abstract
Remanufacturing plays an important role to contribute for circular economy by extending the life cycle of used products. Remanufacturing is a recovery process of worn-out product through multi-process remanufacturing to achieve quality, specifications, and performance “as good as new” condition. It Remanufacturing processes focuses on disassembling, cleaning, repairing, and reassembling used products or components to restore them to like-new or even better-than-new condition. The basic problem in a remanufacturing process planning is how to appropriately select the manufacturing/remanufacturing process (technology) to have in a remanufacturing company that has the capability to ensure “like new” quality of remanufactured product. This paper presents a mathematical model for optimizing remanufacturing processes planning by considering quality loss and carbon emissions. The model was formulated using integer linear programming to obtain optimal solution. We study a remanufacturing system with four stage processes under varying quality condition of incoming core. This study also considered multiple remanufacturing processes that can be selected for each stage of the processes, then the processes may lead to different process characteristics, i.e. quality tolerance and carbon emission. A numerical example was used to validate the proposed model for a case of remanufactured hydraulic cylinder process planning. The model consistently shows an optimal solution for the case.
| Original language | English |
|---|---|
| Title of host publication | Advances in Remanufacturing - Proceedings of the 7th International Workshop on Autonomous Remanufacturing |
| Editors | Marcello Fera, Roberto Macchiaroli, Mario Caterino, Duc Truong Pham |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 403-419 |
| Number of pages | 17 |
| ISBN (Print) | 9783031526480 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 7th International Workshop on Autonomous Remanufacturing, IWAR 2023 - Caserta, Italy Duration: 18 Oct 2023 → 19 Oct 2023 |
Publication series
| Name | Lecture Notes in Mechanical Engineering |
|---|---|
| ISSN (Print) | 2195-4356 |
| ISSN (Electronic) | 2195-4364 |
Conference
| Conference | 7th International Workshop on Autonomous Remanufacturing, IWAR 2023 |
|---|---|
| Country/Territory | Italy |
| City | Caserta |
| Period | 18/10/23 → 19/10/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
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SDG 12 Responsible Consumption and Production
Keywords
- Emission
- Optimization
- Quality grade
- Remanufacturing planning
- Tolerance
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