基于模糊推理的不确定环境下拆卸工艺规划

工业工程 ›› 2012, Vol. 15 ›› Issue (2): 16-21.

基于模糊推理的不确定环境下拆卸工艺规划

东南大学经济管理学院,江苏南京 210096

出版日期:2012-04-30 发布日期:2012-05-17
作者简介:陈伟达（1965-），男，浙江省人，教授,博导，主要研究方向为生产调度、启发式优化方法和供应链管理.
基金资助:
国家自然科学基金资助项目（70971022）；教育部人文社会科学基金青年项目（10YJC630249）

FuzzyReasoningBased Disassembly Sequence Planning under Uncertainty

School of Economics and Management, Southeast University, Nanjing 210096, China

Online:2012-04-30 Published:2012-05-17

摘要/Abstract

摘要： 回收产品因磨损等原因其结构和质量会发生改变，拆卸序列规划存在不确定性，拆卸前很难确定产品最优拆卸序列。首先建立一个模糊拆卸Petri网模型表示产品可行拆卸序列和拆卸过程存在的不确定信息，为降低产品质量和拆卸能力的不确定性对拆卸序列优化的影响，建立一个自适应的模糊推理系统，利用模糊推理和反馈学习的方法对产品各拆卸步骤的成本进行预测，然后通过计算不同拆卸序列下拆卸的收益来得到产品最优拆卸序列，最后通过算例证明了方法的有效性。

关键词: 拆卸序列优化, 模糊推理, 再制造

Abstract: Before the remanufacturing of a type of products, the buy back products should be disassembled. During the life cycle, the structure of a buy back product and the quality of the components are changed. Thus, the disassembly sequence is uncertain, which complicates the disassembly process. To solve this problem, a fuzzy Petrinet is built to model such a disassembly process such that the effect of uncertainty on the disassembly quality can be described. With this model, the cost resulting from different disassembly sequences can be estimated by using fuzzy reasoning. Then, an algorithm is presented to find the optimal disassembly sequence by minimizing the disassembly cost. An illustrative example is given to verify the effectiveness of the proposed method.

Key words: disassembly planning, fuzzy reasoning, remanufacturing

陈伟达，殷炜. 基于模糊推理的不确定环境下拆卸工艺规划[J]. 工业工程, 2012, 15(2): 16-21.

Chen Weida, Yin Wei. FuzzyReasoningBased Disassembly Sequence Planning under Uncertainty[J]. Industrial Engineering Journal , 2012, 15(2): 16-21.

参考文献

1］谢家平,赵忠,孔令丞，等.再制造生产计划的影响因素及其模式［J］.系统工程,2005,25(7):53-59. Xie Jiaping, Zhao Zhong, Kong Lingcheng,et al.An affecting factors and optimizing model for the remanufacturing production planning［J］.Systems Engineering,2005,25(7):53-59 . ［2］王波,王宁生.基于Petri网产品拆卸模型的研究［J］.华东船舶工业学院学报,2003,17(3):87-90.Wang Bo, Wang Ningsheng.Research on disassembly model based on petri net for a product［J］. Journal of East China Shipbuilding Institute,2003,17(3):87-90. ［3］赵树恩,李玉玲.模糊推理Petri网及其在产品拆卸序列决策中的应用［J］.控制与决策,2005,20(10):1181-1184. 〖DW〗Zhao Shuen, Li Yuling.Fuzzy reasoning petri nets and its application to disassembly sequence decision of products［J］.Control and Decision,2005,20(10):1181-118. ［4］Lambert A J D.Disassembly sequencing:a survey［J］.International Journal of Production Research,2003,41(16)：3721-3759. ［5］Kendra E Moore,Askiner Gungor.A petri net approach to disassembly process planning［J］.Computers & Industrial Engineering,1998,35(1):165-168. ［6］Tang Ying. Unified Colored Timed Petri Net Models for the Adaptive Control of Disassembly Systems［DB/OL］.（2008-08-23）.http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4626438.Proceedings of 4th IEEE Conference on Automation Science and Engineering. ［7］Seo K K,Park J H,Jang S S.Optimal disassembly sequencing using genetic algorithms considering economic and environmental aspects［J］.The International Journal of Advanced Manufacturing Technology,2001,18(5):371380. ［8］Belarmino ASensoSiaz,Santiago GarciaCarbajal.An efficient GRASP algorithm for Disassembly sequence planning［J］.OR spectrum,2007,29(3):535549. ［9］Zuidwijk R,Harold Krikke.Disassembly for recovery under uncertainty［C］.Proceedings of SPIE,Boston,2002(44):4453.〖ZK)〗 ［10］〖ZK(#〗Elif Kongar,Surendra M Gupta.Disassembly to order system under uncertainty［J ］.The International Journal of Management Science,2006,34(6):550561. ［11］Spyros A.Reveliotis.Modelling and Controlling uncertainty in optimal Disassembly planning through reinforcement learning［DB/OL］.(20050818). http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1527567.Proceedings of 2004 IEEE International Conference on Robotics and Automation,New Orleans. ［12］Moore K E,Gungor A,Gupta S M.Petri net approach to disassembly process planning for products with complex AND/OR precedence relationships［J］.European Journal of Operations Research, 2001,135(2):428449. ［13］Pnueli Y,Zussman E.Evaluating the endoflife value of a product and improve it by redesign［J］.International Journal of Production Research,1996,35(4):921942. ［14］Kevin M Passino,Stephen Yurkovich.Fuzzy Control［M］.北京:清华大学出版社,2001:301 303. ［15］〖WB〗章小红,李世其,王俊峰.基于蚁群算法的产品拆卸序列规划方法［J］.计算机辅助设计与图形学习,2007,19(3):387397. 〖DW〗Zhang Xiaohong, Li Shiqi, Wang Junfeng.Product disassembly sequence planning based on ant colony optimization［J］.Journal of Computeraided Design & Computer Graphisc,2007,19(3):387397.

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