中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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); Zhang F(张芳); Zhu YL(朱云龙)
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
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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