Robust Optimization Model for Remanufacturing System in Uncertain Reverse Logistics Environment
文献类型:会议论文
作者 | Xu JW(徐家旺)![]() ![]() |
出版日期 | 2008 |
会议名称 | IEEE International Conference on Automation and Logistics |
会议日期 | September 1-3, 2008 |
会议地点 | Qingdao, China |
关键词 | Reverse logistics Remanufacturing Uncertainty Robustness |
页码 | 1010-1015 |
中文摘要 | The remanufacturing process of reusable parts in uncertain reverse logistics environment is considered. An existing framework for remanufacturing system is adopted. In this framework, the manufacturer has two alternatives for supplying parts: either ordering the required parts to external suppliers or overhauling returned products and bringing them back to 'as new' conditions. The numbers of returned products are uncertain and can be described as a scenario set with certain probability. By using the approach of robust optimization based on scenario analysis, a robust optimization model is constructed to maximize the total cost savings by optimally deciding the quantity of parts to be processed at each remanufacturing facilities, the number of purchased parts from subcontractor. The results of a numerical example show that the model we proposed is both solution-robust and model-robust. |
收录类别 | EI ; CPCI(ISTP) |
产权排序 | 1 |
会议主办者 | IEEE, Shandong Univ, IEEE Robot & Automat Soc, Shandong Univ Sci & Technol, Qingdao Univ Sci & Technol, ASME Dyanm Syst & Control Div, Chinese Mech Engn Soc, Federat Logist & Purchasing China, Dalhousie Univ, Univ British Columbia, Chinese Univ Hong Kong, Logist Engn Inst China |
会议录 | 2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6
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会议录出版者 | IEEE |
会议录出版地 | NEW YORK |
语种 | 英语 |
ISBN号 | 978-1-4244-2502-0 |
WOS记录号 | WOS:000263554800191 |
源URL | [http://ir.sia.cn/handle/173321/8273] ![]() |
专题 | 沈阳自动化研究所_工业信息学研究室_先进制造技术研究室 |
推荐引用方式 GB/T 7714 | Xu JW,Zhang F,Zhu YL. Robust Optimization Model for Remanufacturing System in Uncertain Reverse Logistics Environment[C]. 见:IEEE International Conference on Automation and Logistics. Qingdao, China. September 1-3, 2008. |
入库方式: OAI收割
来源:沈阳自动化研究所
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