再制造系统车间调度研究
|
摘要
随着资源危机和环境污染问题的日益严重，制造业在保持竞争力的同时，又要实现发展的可持续性，这一客观要求使得竞争性可持续制造(CSM)成为未来制造业发展的必然选择。再制造是CSM的重要组成部分，是实现可持续发展的重要途径。本文对其核心技术“再制造系统车间调度”进行了研究，主要工作和创新点如下：
根据制造业的发展历程，指出CSM是未来制造业的发展方向，论述了再制造在CSM中的重要地位及其研究意义，对再制造系统车间调度相关内容的研究现状及其存在的主要问题进行了归纳和总结；并从再制造系统的系统组成、工作流程和实施再制造系统的主要模式等3个方面，阐述了再制造系统车间调度的运行环境。然后，研究了再制造系统车间调度的关键技术，提出了再制造系统车间调度的体系结构。
对独立再制造系统大批量生产线的车间调度问题进行了研究。根据再制造修复时间的不确定性和再制造系统机加工和表面热处理共同存在的特殊生产状况，建立了考虑再制造系统特殊工序间存储策略的大批量生产线模糊调度数学模型，并设计了相应的OGA算法，针对OGA算法收敛速度慢和易于陷入局部收敛的问题，提出了基于精英交叉(EGA)和小生境域密度选择策略的ENGA算法。通过对某独立再制造企业废旧发动机缸体大批量再制造生产实例的研究，证明了本文建立的调度模型和提出的ENGA算法的正确性和有效性。最后，针对再制造系统存在诸多不确定性的特点，建立了最好解的鲁棒性评价模型，并通过模型选择出鲁棒性最优的解。
对制造/再制造混合系统的车间调度问题进行了研究。针对废旧零部件再制造修复时间服从一定概率分布的特性，建立了制造/再制造混合系统随机期望值调度模型，模型根据制造/再制造混合系统的订单交货期要求，以新品制造费用、废旧品再制造费用和延迟惩罚费用等最小为目标，解决制造/再制造混合系统的任务分配和再制造系统的生产排序问题。针对包含随机再制造修复时间的期望值模型，提出了基于随机模拟、神经网络和遗传算法的HIA算法，为了提高算法的运行速度，针对制造/再制造混合系统的调度问题要求，提出了EDD-LPT启发式算法，并给出了EDD-LPT启发式算法的最坏误差界。最后，通过实例仿真证明了模型和算法的正确性。
对再制造系统集成调度问题进行了研究。无论独立再制造系统还是制造/再制造混合系统都面临着系统平衡性和协调性的难题。针对该问题，选择再制造系统的可再制造性评价、再制造工艺规划与再制造修复的集成(IOARPPR)以及再制造拆卸与再制造装配的集成(IODA)为研究对象，对再制造系统的集成调度进行研究。对于IOARPPR问题，建立了废旧零部件的可再制造性评价模型，通过对废旧零部件的可再制造性评价，确定出可再制造件的工艺路线及其对应的可再制造度，然后，建立了再制造系统修复车间的集成调度模型，并通过双层遗传算法求解出最优工艺路线组合及其对应的最优调度结果；对于IODA问题，以零部件在拆卸与装配过程中的供给与需求的比例关系为纽带，建立了再制造系统拆卸与装配的集成调度模型，并提出了两阶段遗传算法和启发式自适应遗传算法分别对其进行求解，得到废旧品拆卸的最佳数量和最优拆卸序列。最后，分别对IOARPPR和IODA的集成调度问题进行了实例研究。
提出了再制造系统的信息集成框架模型；从再制造车间调度系统的运行环境、Delphi与Matlab的集成、系统功能模块设计和车间调度软件的使用方法等4个方面对再制造车间调度系统的总体设计进行了研究；开发出再制造车间调度原型系统，证明了本文研究的再制造系统车间调度理论的可行性。
As the resourse crisis and environmental pollution are becoming more and more serious,the manufacturing industry needs to keep competion, and to achieve sustainable development.Thus, the competitive and sustainable manufacturing (CSM) is inevitable for manufacturingindustry developing. While，remanufacturing is an important component of CSM, and animportant way for achieving sustainable development. This dillertation emphasised on“scheduling of remanufacturing system”, the main contain and innovation is following:
According to the development of manufacturing, this dissertation proposed that CSM isdeveloping direction of manufacturing in future, discussed the important position and researchsignificance of remanufacturing to CSM, and summarized research status of scheduling forremanufacturing and existing main problems. In addition, operating environment ofscheduling in remanufacturing system was discussed with consideration of systemcomposition, work flow and main modes. Finally, the key technologies of scheduling forremanufacturing system was researched, and the architecture of scheduling forremanufacturing system was proposed.
Mass production line scheduling problem for independent remanufacturing system wasstudied. Considering the uncertainty of remanufacturing repair time and special productionconditions, those conditions under which machining and surface heat treatment co-exist inremanufacturing system, the mass production line fuzzy mathematical model for schedulingwas built up with considering storage strategy between special processes in remanufacturingsystem, and OGA algorithm was also designed. The shortcoming of ordinary geneticalgorithm is reflected in slow convergence and easy to fall into local optimum, soelitist-crossover niching genetic algorithm was proposed based on elitist-crossover and nichedomain density selection strategy. Then, the example of mass production for engine cylinderremanufacturing from an independent remanufacturer was simulated through the algorithmmodel, which results show that scheduling model and the proposed ENGA algorithm arefeasible. Finally, according to many characteristics of uncertainty in the remanufacturingsystems, a robust evaluation model was built up for optimal solution of scheduling problem,and choose the solution with best robustness through example calculation
The scheduling problem of manufacturing/remanufacturing system was studied in thisdillertation. Because of the characteristic of the time which was cost in the process of wasteparts remanufacturing obey probability distribution function, a random expectationsnumerical scheduling model of manufacturing/remanufacturing system was set up. In here,take the time of manufacturing/remanufacturing system order delivery as the requirementsconditions, and take the least cost of new product manufacturing, the least cost of wasteproduct remanufacturing and least delay penalty fees as the solving target. Above all in orderto solve the problem of task assignment for manufacturing/remanufacturing system andremanufacturing production order. According to the expected value model with randomremanufacturing time, HIA algorithm was suggested base on random simulation, neuralnetwork and genetic algorithm in this dillertation. In order to improve the speed of algorithm,EDD-LPT heuristic algorithm was also suggested on the basis of the requirements of theproblem of scheduling, and its worst error bounds of this algorithm was provided. Finally，through the simulation proved the correctness of the proposed algorithm and the model.
In this dillertation, meanwhile, the integrated scheduling problem of remanufacturingsystem scheduling was studied. The balance and coordination of system are very difficultproblems no matter independent remanufacturing system or manufacturing/remanufacturingsystem. Aiming at this issue, take the integrated optimization for assessment ofremanufacturability, process planning and scheduling of repair shop, the integratedoptimization of remanufacturing disassemble and remanufacturing assembly as the researchobject, the integrated scheduling problem of remanufacturing system was studied; ForIOARPPR problem, the assessment model of remanufacturability of the waste parts was setup, through which, the process route and corresponding remanufacture degrees weredetermined. Then, the scheduling model for repair workshop of remanufacturing system wasset up, and the optimal combination process route and the corresponding optimal schedulingresults were solved through the double genetic algorithm; For IODA problem, the assemblyscheduling model of remanufacturing system was established. On the base of parts deliverytime and the optimal scheduling assembly time of remanufacturing, quantity and completiontime of remanufacturable parts were obtained through the rumsfeld decomposition, therebyintegrated optimization between manufacturing assembly shop and repair shop was correspondly realized. And then the two-stage genetic algorithm and heuristic adaptivegenetic algorithm were put forward for solving IODA problem. Finally, examples ofintegrated scheduling for IOARPPR and IODA were studied.
The information integration framework model of the remanufacturing system wasproposed. And then the overall design of the production scheduling system for theremanufacturing system was elaborated from four aspects as operating environment of theproduction scheduling system、Delphi and Matlab integration、the features modular design ofthe remanufacturing system and how to use the production scheduling software. Finally, therunning instance of production scheduling system for remanufacturing system was given,which proved the feasibility of the theory studied in this dillertation.
根据制造业的发展历程，指出CSM是未来制造业的发展方向，论述了再制造在CSM中的重要地位及其研究意义，对再制造系统车间调度相关内容的研究现状及其存在的主要问题进行了归纳和总结；并从再制造系统的系统组成、工作流程和实施再制造系统的主要模式等3个方面，阐述了再制造系统车间调度的运行环境。然后，研究了再制造系统车间调度的关键技术，提出了再制造系统车间调度的体系结构。
对独立再制造系统大批量生产线的车间调度问题进行了研究。根据再制造修复时间的不确定性和再制造系统机加工和表面热处理共同存在的特殊生产状况，建立了考虑再制造系统特殊工序间存储策略的大批量生产线模糊调度数学模型，并设计了相应的OGA算法，针对OGA算法收敛速度慢和易于陷入局部收敛的问题，提出了基于精英交叉(EGA)和小生境域密度选择策略的ENGA算法。通过对某独立再制造企业废旧发动机缸体大批量再制造生产实例的研究，证明了本文建立的调度模型和提出的ENGA算法的正确性和有效性。最后，针对再制造系统存在诸多不确定性的特点，建立了最好解的鲁棒性评价模型，并通过模型选择出鲁棒性最优的解。
对制造/再制造混合系统的车间调度问题进行了研究。针对废旧零部件再制造修复时间服从一定概率分布的特性，建立了制造/再制造混合系统随机期望值调度模型，模型根据制造/再制造混合系统的订单交货期要求，以新品制造费用、废旧品再制造费用和延迟惩罚费用等最小为目标，解决制造/再制造混合系统的任务分配和再制造系统的生产排序问题。针对包含随机再制造修复时间的期望值模型，提出了基于随机模拟、神经网络和遗传算法的HIA算法，为了提高算法的运行速度，针对制造/再制造混合系统的调度问题要求，提出了EDD-LPT启发式算法，并给出了EDD-LPT启发式算法的最坏误差界。最后，通过实例仿真证明了模型和算法的正确性。
对再制造系统集成调度问题进行了研究。无论独立再制造系统还是制造/再制造混合系统都面临着系统平衡性和协调性的难题。针对该问题，选择再制造系统的可再制造性评价、再制造工艺规划与再制造修复的集成(IOARPPR)以及再制造拆卸与再制造装配的集成(IODA)为研究对象，对再制造系统的集成调度进行研究。对于IOARPPR问题，建立了废旧零部件的可再制造性评价模型，通过对废旧零部件的可再制造性评价，确定出可再制造件的工艺路线及其对应的可再制造度，然后，建立了再制造系统修复车间的集成调度模型，并通过双层遗传算法求解出最优工艺路线组合及其对应的最优调度结果；对于IODA问题，以零部件在拆卸与装配过程中的供给与需求的比例关系为纽带，建立了再制造系统拆卸与装配的集成调度模型，并提出了两阶段遗传算法和启发式自适应遗传算法分别对其进行求解，得到废旧品拆卸的最佳数量和最优拆卸序列。最后，分别对IOARPPR和IODA的集成调度问题进行了实例研究。
提出了再制造系统的信息集成框架模型；从再制造车间调度系统的运行环境、Delphi与Matlab的集成、系统功能模块设计和车间调度软件的使用方法等4个方面对再制造车间调度系统的总体设计进行了研究；开发出再制造车间调度原型系统，证明了本文研究的再制造系统车间调度理论的可行性。
As the resourse crisis and environmental pollution are becoming more and more serious,the manufacturing industry needs to keep competion, and to achieve sustainable development.Thus, the competitive and sustainable manufacturing (CSM) is inevitable for manufacturingindustry developing. While，remanufacturing is an important component of CSM, and animportant way for achieving sustainable development. This dillertation emphasised on“scheduling of remanufacturing system”, the main contain and innovation is following:
According to the development of manufacturing, this dissertation proposed that CSM isdeveloping direction of manufacturing in future, discussed the important position and researchsignificance of remanufacturing to CSM, and summarized research status of scheduling forremanufacturing and existing main problems. In addition, operating environment ofscheduling in remanufacturing system was discussed with consideration of systemcomposition, work flow and main modes. Finally, the key technologies of scheduling forremanufacturing system was researched, and the architecture of scheduling forremanufacturing system was proposed.
Mass production line scheduling problem for independent remanufacturing system wasstudied. Considering the uncertainty of remanufacturing repair time and special productionconditions, those conditions under which machining and surface heat treatment co-exist inremanufacturing system, the mass production line fuzzy mathematical model for schedulingwas built up with considering storage strategy between special processes in remanufacturingsystem, and OGA algorithm was also designed. The shortcoming of ordinary geneticalgorithm is reflected in slow convergence and easy to fall into local optimum, soelitist-crossover niching genetic algorithm was proposed based on elitist-crossover and nichedomain density selection strategy. Then, the example of mass production for engine cylinderremanufacturing from an independent remanufacturer was simulated through the algorithmmodel, which results show that scheduling model and the proposed ENGA algorithm arefeasible. Finally, according to many characteristics of uncertainty in the remanufacturingsystems, a robust evaluation model was built up for optimal solution of scheduling problem,and choose the solution with best robustness through example calculation
The scheduling problem of manufacturing/remanufacturing system was studied in thisdillertation. Because of the characteristic of the time which was cost in the process of wasteparts remanufacturing obey probability distribution function, a random expectationsnumerical scheduling model of manufacturing/remanufacturing system was set up. In here,take the time of manufacturing/remanufacturing system order delivery as the requirementsconditions, and take the least cost of new product manufacturing, the least cost of wasteproduct remanufacturing and least delay penalty fees as the solving target. Above all in orderto solve the problem of task assignment for manufacturing/remanufacturing system andremanufacturing production order. According to the expected value model with randomremanufacturing time, HIA algorithm was suggested base on random simulation, neuralnetwork and genetic algorithm in this dillertation. In order to improve the speed of algorithm,EDD-LPT heuristic algorithm was also suggested on the basis of the requirements of theproblem of scheduling, and its worst error bounds of this algorithm was provided. Finally，through the simulation proved the correctness of the proposed algorithm and the model.
In this dillertation, meanwhile, the integrated scheduling problem of remanufacturingsystem scheduling was studied. The balance and coordination of system are very difficultproblems no matter independent remanufacturing system or manufacturing/remanufacturingsystem. Aiming at this issue, take the integrated optimization for assessment ofremanufacturability, process planning and scheduling of repair shop, the integratedoptimization of remanufacturing disassemble and remanufacturing assembly as the researchobject, the integrated scheduling problem of remanufacturing system was studied; ForIOARPPR problem, the assessment model of remanufacturability of the waste parts was setup, through which, the process route and corresponding remanufacture degrees weredetermined. Then, the scheduling model for repair workshop of remanufacturing system wasset up, and the optimal combination process route and the corresponding optimal schedulingresults were solved through the double genetic algorithm; For IODA problem, the assemblyscheduling model of remanufacturing system was established. On the base of parts deliverytime and the optimal scheduling assembly time of remanufacturing, quantity and completiontime of remanufacturable parts were obtained through the rumsfeld decomposition, therebyintegrated optimization between manufacturing assembly shop and repair shop was correspondly realized. And then the two-stage genetic algorithm and heuristic adaptivegenetic algorithm were put forward for solving IODA problem. Finally, examples ofintegrated scheduling for IOARPPR and IODA were studied.
The information integration framework model of the remanufacturing system wasproposed. And then the overall design of the production scheduling system for theremanufacturing system was elaborated from four aspects as operating environment of theproduction scheduling system、Delphi and Matlab integration、the features modular design ofthe remanufacturing system and how to use the production scheduling software. Finally, therunning instance of production scheduling system for remanufacturing system was given,which proved the feasibility of the theory studied in this dillertation.
引文
[1]朱剑英.现代制造系统模式、建模方法及关键技术的新发展.机械工程学报[J],2000,36(8):1-5
[2]蔡宗琰.集成的智能计算机辅助可重构制造系统设计研究[D].西北工业大学,2002.3
[3] Bras B, Isaacs J. A.，Overcash M.. Environmentally benign manufacturing-A work-shopreport[J].Journal of cleaner production.2006,14(5):527-535
[4]刘飞，张晓冬，杨丹，等.制造系统工程[M].北京:国防工业出版社,2000.10
[5] Jovane F.. How to maintain competitiveness on the way towards sustainable manu-facturing?[J], Tampere Manufacturing Summit,2007(6):6-7
[6] Jovane F.，Yoshikawa H.，Alting L.，et al. The incoming global technological andindustrial revolution towards competitive sustainable manufacturing[J].CIRP AnnalManufacturing Technology,2008，57：641-659
[7] Sustainable Design&Manufacturing(SDM).http://www.sdm.gatech.edu/,2009.10.11
[8] Consortium on Green Design and Manufacturing(CGDM),University of California,Berkeley.http://cgdm.berkeley.edu/,2009.10.11
[9] Gutowski T., Dahmus J., Thiriez A.. Electrical Energy Requirements for Manufact-uring Processes[A].13th CIRP International Conference on Life Cycle Engineering
[C], Leuven,Belgium,2006:31-35
[10] Sustainable Futures Institute(SFI).http://www.sfi.mtu.edu/publications.htm,2009.10.15
[11]刘飞，曹华军，张华.绿色制造的理论与技术[M].北京:科学出版社,2005
[12]谷振宇，曹华军，刘飞.基于拆卸树模型的定制产品绿色设计支持系统[J].计算机集成制造系，2009，15(4):639-645
[13] Howarth G,，Hadfield M.. A sustainable product design model [J]. Materials andDesign,2006,27(10):1128-1133.
[14]席俊杰,马明林,吴中.复杂产品的并行式绿色设计研究[J].制造技术与机床，2007.5：60-63
[15]任家隆，邹家生.绿色制造中切削冷却方法的研究[C].现代企业与制造技术高层论坛，2005：62-66
[16]王章勇.面向绿色制造切削液的选择[J].机械与电子，2009(5):16-19
[17]候亚丽，李长河，丁玉成.绿色切削磨削加工技术[J].工具技术，2009,43(4):3-6
[18] Jeffrey B., Dahmus, Timothy G. G.. An environmental analysis of machining[A].Proceeding of IMECE2004[C],2004ASME International Mechanical EngineeringCongress and RD&D Expo,2004:1-10
[19] Gutowski T., Dahmus J., Dalquist S.. Measuring the Environmental Load of Man-ufacturing Processes[A], International Society for Industrial Ecology(ISIE)[C],3rdInternational Conference, Stockholm, Sweden,2005:12-15
[20]曹华军.面向绿色制造的工艺规划技术研究[D].重庆大学，2004
[21] Gutowski, T., Dahmus J.. Environmental Analysis of Manufacturing Processes[A],Proceedings of the2004NSF Design[C], Service and Manufacturing Grantees andResearch Conference, Dallas, Texas,2004:5-8
[22]谭显春.面向绿色制造的工艺规划中工艺要素及工艺过程优化方法研究[D],重庆大学，2004
[23] Xue H., Kumar V., Sutherland J. W.. Material flows and environmental impacts of manufacturing systems via aggregated input-output models[J]. Journal of CleanerProduction,2007,15(13):1349-1358
[24]藩全科，左凤朝，朱剑英.面向绿色制造模式的Petri网模型及优化算法[J].机械工程学报，2006.42(9):48-53
[25]何彦.面向绿色制造的机械加工系统任务优化调度方法研究[D],重庆大学，2007
[26] Melnyk S. A., Sroufe R. P., Montabon F. L., et al. Green MRP:identifying thematerial and environmental impacts of production schedules.International Journal ofProduction Research,2001,39(8):1559-1573
[27]徐滨士.再制造与循环经济[M].北京：科学出版社,2007.8
[28]刘光复，刘志峰，李钢.绿色设计与绿色制造[M].北京：机械工业出版社，2000.4
[29]江志刚，张华，肖明.面向绿色制造的生产过程多目标集成决策模型及应用[J].机械工程学报,2008,44(4):41-46.
[30]李清，谭旭，徐大丰.再生制造系统的问题.体系及方法[J].清华大学学报（自然科学版），2009，49（7）：1074-1079
[31]徐滨士.再制造工程的现状与前沿[J].材料热处理学报，2010.31(1):10-14.
[32] Jovane F., Westk mper E., David J.. Williams The manufuture road: towards competitive and sustainable high-adding-value manufacturing[M],Springer:2007
[33]国内外再制造的新发展及未来趋势[EB/OL]. http://www.fengj.com/hqbj/new_show.asp?info_id=320116，2009.10.15
[34]我国能源消费总量及速度[EB/OL].http://data.chinabaogao.com/nengyuan/2008/1212194632008.html2011.1.15
[35] Yang Jiechi. Notable highlights, remarkable achievements[EB/OL] http://english.peopledaily.com.cn/90001/90780/91342/6844841.html，2009.12.15
[36]《机电产品再制造试点单位名单（第一批）》的通知. http://www.mei. gov.cn/industry/utility/news. jsp?cd=289069&edittime=2009-12-23#.2010.3.
[37]何霆，刘飞，马玉林.车间生产调度问题研究[J].机械工程学报,2000,36(5):97-102
[38]秦艳，孙志峻.车间多目标优化调度问题的研究方法和应用[J].现代制造工程，2007，(12)：139-144
[39]刘琳.动态不确定环境下生产调度算法研究[D].上海交通大学，2007.6
[40] Rodammer M. T., White K. P.. A recent survey of Production seheduling[J].IEEETransaetionson Systems，Man and Cyberneties，1988，18(6):841-851
[41]吴秀丽.多目标柔性作业车间调度技术研究[D].西北工业大学：2006.5
[42]苑明海.可重构装配线建模、平衡及调度研究[D].南京理工大学：2008.4
[43]贾兆红.粒子群优化算法在柔性作业车间调度中的应用研究[D].中国科学技术大学：2008.4
[44]湛红晖.非线性工时多工艺路线条件下作业车间调度问题研究[D].华中科技大学，2010.5
[45] Johnson S.. Optimal two-and-three stage production schedules with setup timeinclude[J]. Naval Research Logisttics Quarterly,1954,1:61-68
[46] Wang C.Y., Wang D.W., Ip W.H., et al.The single machine ready time schedulingproblem with fuzzy processing times[J]. Fuzzy Sets and Systems,2002，127(2)：117-129
[47] Tian Z. J.. Single-machine scheduling with release dates and due dates[D]. HongKong Polytechnic University：2003
[48]王成尧，高麟，汪定伟.模糊加工时间单机E/T调度问题的GA算法[J].控制与决策,1998,13：418-427
[49] Chekuri C., Motwani R.. Precedence constrained scheduling to minimize sum ofweighted completion times on a single machine[J].Discrete Applied Mathematics,1999,98(1):29-38
[50]童刚，李光泉，刘宝坤.用遗传算法解决在并行机上带有不同交货期窗口的Job S-hop调度问题[J].系统工程,2000,18(3):37-42
[51] Hurink J., Knust S.. List scheduling in a parallel machine environment with prec-edence constraints and setup times.Operations Research Letters,2001,29(5):231-239
[52]陈秋双，齐向彤，涂奉生. Job Shop投入控制与调度研究[J].系统工程学报，1997，12(2)：49-56
[53]于晓义，孙树栋，王彦革.面向随机加工时间的车间作业调度.中国机械工程，2008，19(19)：2319-2323
[54]羌磊，肖田元，宋士吉.基于不确定作业时间的FSMP调度问题研究，控制与决策，2004，19(2)：162-166
[55]李素粉，朱云龙，尹朝万.具有随机加工时间和机器故障的流水车间调度[J].计算机集成制造系统，2005，11(10)：1425-1429
[56]熊锐，陈浩勋，胡保生.一种生产计划与车间调度的集成模型及其拉氏松弛求解法[J].西安电子科技大学学报，1996,23(4)：509-516
[57]严洪森，夏琦峰，朱闵如，等.汽车装配车间生产计划与调度的同时优化方法[J].自动化学报，2002,28（6）：911-919
[58]张晓东，严洪森.多级车间生产计划与调度的集成优化[J].机械工程学报.2005,41(9)：98~105
[59]白俊杰，龚毅光，王宁生，等.多目标柔性作业车间分批优化调度[J].计算机集成制造系统，2010，16(2)：396-403
[60]张超勇，董星，王晓娟，等.基于改进的非支配排序遗传算法的多目标柔性作业车间调度[J].机械工程学报，2010,46(11)：156-164
[61]芮执元，冯亚岗，刘军，等. JIT柔性混合流水车间生产调度问题研究[J].机械与电子，2009，(10)：61-64
[62]蔡宗淡，王宁生.基于赋时可重构Petri网的可重构制造系统调度算法[J]，西南交通大学学报，2004，39(3)：341-344
[63]陈勇，戴先中.可重构制造系统的车间作业调度策略[J].东南大学学报(自然科学版，增刊)，2004，34：35-40
[64] Ghaith R., Mansooreh M., Georgios C.. A branch-and-bound algorithm for theearly/tardy machine scheduling problem with a common due-date and sequence-dependent setup time[J].Computers&Operations Research,2004,31(10):1727-1751
[65] Xiong R., Fan Y.S., Wu C.. A dynamic job shop scheduling method based onlagrangian relaxation[J]. Tsinghua Science and Technology,1999,4(1):1297-1302
[66] Raaymakers W. H. M., Hoogeveen J. A.. Scheduling multipurpose batch processindustries with no-wait restrictions by simulated annealing[J].European Journal ofOperational Research,2000,126(1):131-151
[67] Amaral V. A., Rigao C. S.. Tabu search for minimizing total tardiness in a jobshop[J]. International Journal of Production Economics,2000,63(2):131~140
[68] Torabi S. A., Karimi B., Fatemi S. M. T.. The common cycle economic lot sche-duling in Flexible Job Shops:The Finite Horizon Case[J]. International Journal ofProduction Economics，2005，97(l):52-65
[69] Hoitomt D. J.. A practieal approach to job-shop scheduling problems[C].The proc-eedings of IEEE Transactions on Robotics and Automation, Pascataway: IEEE Pr-ess,1993,9(I):1-13
[70]张传芹，盛昭瀚.连续过程生产调度预警及专家系统的应用研究[J].信息与控制，2002，31(4)：300-303
[71]徐新黎，王万良，吴启迪.改进计算能量函数下作业车间调度的混沌神经网络方法[J].控制理论与应用，2004，21(2):311-314
[72] Feldmann M., Biskup D.. Single-machine scheduling for minimizing earliness andtardiness penalties by meta-heuristic approaches[J]. Computers and Industrial Eng-in eering,2003,44(2):307-323
[73] Ksalan M. K., Burak K. A..Using genetic algorithms for single-machine bicriteriascheduling problems[J]. European Journal of Operational Research,2003,145(3)：543-556
[74] Grosso A., Della C. F., Tadei R.. An enhanced dynasearch neighborhood for thesingle machine total weighted tardiness scheduling problem[J].Operations ResearchLetters,2004,32(1):68-72
[75]冯奇峰，李言.运用带有记忆库的遗传算法求解作业车间调度问题.计算机集成制造系统，2005，11(8)：1142-1146
[76]沈斌，周莹君，王家海.基于自适应遗传算法的流水车间作业调度[J].计算机工程，2010，36(14)：201-203
[77]田野，刘大有.求解流水车间调度问题的混合离子群算法[J].电子学报，2011，39(5):1087-1092
[78]刘敏，严隽薇.基于自适应退火遗传算法的车间日作业计划调度方法[J]，计算机学报，2007，30(7):1164-1172
[79]李修琳，鲁建厦，柴国钟，等.混合蜂群算法求解柔性作业车间调度问题[J].计算机集成制造系统，2011，17(7):1495-1500
[80]谢圣献，藩全科，潘玉霞，等.蛙跳算法与批量无等待流水线调度问题的优化[J].计算机应用研究，2010，27(8)：2009-2912
[81] Fleischmann M., Jacqueline M., Dekker R., et al. Quantitative models for reverselogistics:A review[J].European Journal of Operational Research,1997,103(1):1-17
[82] Lambert A.. Optional disassembly of complex product[J]. Int.J.Prod.Res.,1997,35(9):2509-2523.
[83] Lozano P. T., Wilson R. H., Assembly sequencing for arbitrary motion[J].In:IEEEProceeding of Robotics and Automation,1993
[84]潘晓勇，骆祥峰，刘光复，等.基于层次概率模糊认知图的产品拆卸序列研究[J].机械工程学报，2003,39(4)：6-10
[85] Lee D. H., Xirouchakis P.. A two stage heuristic for disassembly scheduling withassembly product structure[J]. Journal of the Operations Research Society,2004,55(3):287-297
[86] Gao Nan, Chen Weida. A genetic algorithm for disassembly scheduling with asse-mbly product structure[A]. Proceedings of2008IEEE International Conference onService Operations and Logistics,and Informatics[C].Beijing,China,2008:2238-2243
[87]陈伟达，高楠.再制造系统能力约束下拆卸批量计划优化方法[J].东南大学学报(自然科学版),2009,39(5)：1081-1086
[88] Goli, Z.. Application of generalized stochastic petri nets(GSPN) in modeling andevaluating a resource sharing flexible manufacturing system[J]. Proceedings of W-orld Academy of Science, Engineering and Technology,2009,57:356-365.
[89] Yasuda. Design and distributed control of discrete event robotic manufacturing sy-stems using Petri nets[A]. Proceedings of the2009IEEE International Conferenceon Automation and Logistics[C], ICAL2009:1861-1866
[90] Luciano B., Mauro P.. Improving UML with Petri nets[J],Electronic Notes in Theoretical Computer Science,2001,44(4):107-119
[91]尚文利，王成恩，张士杰，等.基于IDEF与UML的系统建模方法[J].计算机集成制造系统,2004,10(3)：252-258
[92] Pirvu A. M., Genevieve D. T., Kubiak P.. Automatic adaptation of a bondgraphmodel to transfer function specifications[J]. Simulation Modelling Practice and Theory,2009，17(1)：257-270
[93]廖伟志，古天龙，李文敬，等.模糊柔性制造系统的混杂Petri网建模与调度[J].计算机集成制造系统，2008，14(11)：2135-2141
[94]王景华，韩江洪，刘征宇，等.面向对象Petri网离散制造系统生产调度建模研究[J].系统仿真学报，2008,20(15)：4159-4162
[95] Savaskan R. C., Bhattacharya S., Wassenhove L. N.. Closed Loop supply chainmodels with product remanufacturing[J].Management Science,2004,50(2):239-252
[96] Kara S., Rugrungruang F., Kaebernick H.. Simulation modelling of reverse logisti-cs networks[J]. International Journal of Production Economics,2007,106(1):61-69
[97]孙宝凤，田小川，肖伟，等.再制造系统Drum-Buffer-Rope仿真建模[J].吉林大学学报（工学版），2008,38(4)：853-857
[98] Fleischmann M., Bloemhof R., Dekker R., et a1. Quantitative models for reverselogistics[J]. European Journal of the Operations Researchs,1997，103(1):1-17
[99]陈秋双，刘东红.再制造系统的库存控制研究[J].南开大学学报（自然科学版），2003，36(3)：67-71
[100]范文姬.不确定环境下的再制造物流系统库存控制与协调研究[D].北京交通大学：2010.6
[101] Dobos I., Richter K.. A production/recycling model with quality consideration[J].International Journal of Production Economics,2006,104(2)：571-579.
[102] Richter K., Weber J.. The reverse Wagner/Whitin model with variable manufact-uring and remanufacturing cost[J]. International Journal of Production Economics,2001,71(3)：447-456
[103] Charnes A., Cooper W. W.. Chance-constrained programming[J]. Management S-cience,1959,6(1)：73-79
[104]张红宇，高阳，马华.基于可变长工序编码的再制造生产车间调度方法[J].计算机应用研究,2010,27(3):871-873
[105]苏春，沙洋娟.基于混合不确定性和证据理论的再制造生产计划[J].东南大学学报(自然科学版)，2010，40(4):712-716
[106] Arindam R., Kalipada M., Samarjit K., et al. A production-inventory model withremanufacturing for defective and usable items in fuzzy environment[J].Computer-s and Industrial Engineering,2009,56(1):87-96
[107]肖人彬，蔡政英.不确定质量水平下闭环质量链的成本模糊控制[J].计算机集成制造系统,2009，15(6)：1207-1214
[108] Dekker R., Fleischmann M.. Reverse Logistics: Quantitative Models for ClosedLoop Supply Chain[M]. Rotterdam: Springer,2004
[109] Guide Jr. Production planning and control for remanufacturing: Industry practiceand research needs[J]. Journal of Operations Management,2000,18(4):467-483
[110]蔡宗琰，李小宁.制造执行系统的生产管理控制研究[J].计算机工程与应用，2006,7:184-187
[111]储江伟，张铜柱.汽车再制造企业运作模式探讨[J].商用车与发动机，2009，34(1):64-66
[112] Laan E.. An NPV and AC analysis of a stochastic inventory system with jointmanufacturing and remanufacturing[J].International Journal of Production Econom-ics,2003,81-82:317-331
[113] Christos Z., George T.. On the attractiveness of sorting before disassembly in r-emanufacturing[J]. IIE Transactions,2008,40(3):313-323
[114] Spyros A. R.. Uncertainty Management Optimal Disassembly Planning throughLearning-based Strategies[J]. IIE Transactions,2007,39(6)：645-658
[115]刘晓冰，李忠凯，黄学文，等.一种面向柔性生产的动态调度模型[J].计算机应用研究，2009，26(9):3239-3241,3273
[116]王国磊，钟诗胜，林琳.面向多机动态调度问题的两层Q学习算法[J].智能系统学报，2009，4(3)：239-244
[117]吴秀丽.柔性作业车间动态调度问题研究[J].系统仿真学报，2008,20(14):3828-3832
[118] Clegg A. J.，Williams D. J.，Uzsoy R.. Production planning for companies withremanufactureing capability[A]. Proceedings of the1995IEEE International Sym-posium on Electronics and the Environment [C]. Orlando, USA:1995：186-191
[119] Luh Peter B.，Yu Danqing，Soorapanth S.，et al. Alagrangian relaxation basedapproach to schedule asset overhaul and repair services[J]. IEEE Transactions onAutomation Science and Engineering,2005,2(2)：145-156
[120] Franke C.，Basdere B.，Ciupek M.，et al. Remanufacturing of mobile phones c-apacity，program and facility adaptation planning[J]. Omega,2006，34(6):562-570
[121] Kim K.，Song I.，Kim J.，et al. Supply planning model for remanufacturing sy-stem in reverse logistics environment[J]. Computers and Industrial Engineering,2006,51(2)：279-287
[122]苏春.基于堆垛机服务能力的板材FMS仿真研究[J].系统仿真学报，2002，14(6)：824-826.
[123] Guide Jr., Srivastava R.. Evaluation of order release strategies in a Remanufact-uring environment[J]. Computers&Operations Research，1997，24(1)：37-47
[124] Guide Jr., Souza G. C., Van D.. Performance of static priority rules for sharedfacilities in a remanufacturing shop with disassembly and reassembly [J].EuropeanJournal of Operational Research，2005(2):341-353
[125] Li Yongjian, Chen Jian, Cai Xiaoqiang. Heuristic genetic algorithm for capacitat-ed production planning problems with batch processing and remanufacturing[J].International Journal of Production Economics,2007(2)：301-317
[126] Guide Jr., Kraus M. E., Srivastava R.. Scheduling policies for remanufacturing[J].International Journal of Production Economics,1997(2):187-204
[127] Guide Jr.. Scheduling with priority dispatching rules and drum-buffer-rope in arecoverable manufacturing system[J]. International Journal of Production Econo-mics,1999(1):101-116
[128]蔡兰.制造业车间调度及其评估理论的研究和应用[D].武汉理工大学：2008.10
[129]吴波.车间调度性能评价理论及其应用[D].武汉理工大学：2008.5
[130]郭秀萍.多目标进化算法及其在制造系统中的应用[D].上海交通大学：2007.4
[131] Zitzler E., Thiele L.. Multi-objective evolutionary algorithms: A comparative casestudy and the strength pareto approach[J]. IEEE Transactions on Evolutionary C-omputation.1999，3(4)：257-271
[132] Mansouri S.A.. Multi-Objective Genetic Algorithm for mixed-model sequencingon JIT assembly lines[J]. European Journal of Operational Research,2005，167(3)：696-716
[133] Wein L. M., Chevalier P. B.. A broader view of the job shop scheduling probl-em[J].Management Science,1992,38(7):1018-1033
[134]汪万良，吴启迪.生产调度智能算法及其应用[M].北京：科学出版社，2007.7
[135] Guide Jr. Scheduling Using Drum-Buffer-Rope in a Remanufacturing Environme-nt[J]. International Journal of Production Research,1996,34(4):1081-1091.
[136]曹炳元.应用模糊数学与系统.北京：科学出版社，2005.10
[137]王凌.车间调度及其遗传算法[M].北京：清华大学出版社，2003
[138] Goldberg D. E., Richardson J.. Genetic Algorithms with Sharing for MultimodalFunction Optimization[A]. In: Proc.of end Int.Conf.on Genetic Algorithms[C],Lawrence Erlbaum Associates,1987:56-60
[139]徐震浩,顾幸生.不确定条件下的Flow Shop问题的免疫调度算法[J].系统工程学报,2005,20(4):374-375
[140]耿兆强,邹益仁.基于遗传算法的作业车间模糊调度问题的研究[J].计算机集成制造系统,2002,8(8):616-620
[141]于艾清，顾幸生.基于广义粗糙集的不确定条件下的Flop Shop调度[J].系统仿真学报，2006，18(12):3369-3372
[142] Ishibuchi H.，Yamamoto N.，Murata T.. Genetic algorithms and neighborhood s-earch algorithm for fuzzy flowshop scheduling problem[J]. Fuzzy Sets and Syste-ms，1999，67(1)：81-100
[143] Sakawa M.，Kubota R.. Fuzzy programming for multiobjective job shop schedul-ing with fuzzy processing time and fuzzy due date through genetic algorithms[J]. European Journal of Operational Research，2000,120(2):393-407
[144]刘东波，陈玉娟，黄道，等.随机灰色提前期条件下制造/再制造混合系统库存优化[J].华东理工大学学报，2007，33(4):529-535
[145]周莉，许淑君，Stephen M. D..制造与再制造混合系统中库存与牛鞭效应的分析与优化[J].上海交通大学学报，2005，39(10):1587-1591
[146]赵晓敏，黄培清，林英晖.混合型制造/再制造混合系统建模及仿真研究[J],信息与控制，2007，36(6)：739-745
[147] Inderfurth K.,Vander L. E.. Lead time effects and policy improvement for stoch-astic inventory control with remanufacturing[J].International Journal of ProductionEconomics,2001,71(1-3):381-390
[148] Kiesmuller G. P.. Optimal control of a one product recovery system with leadtimes[J]. International Journal of Production Economics,2003,(81-82):333-340
[149]王能民，孙青林.启发式遗传算法的生产能力约束多产品再制造批量决策[J]，工业工程，2009，12(1):13-16
[150]刘宝锭，赵瑞清，王纲.不确定规划及应用[M]，北京:2003,8
[151] Reeves C. R..Modern heuristic techniques for combinatorial problems[M].Oxford：Blackwell Scientific Publications,1993
[152] Conway R. W., Maxwell W. L., Miller L.. Theory of scheduling[M]. AddisonWesley, Reading Mass,1967
[153]尚文利，范玉顺.成批生产计划调度的集成建模与优化[J].计算机集成制造系统，2005，11(2):1663-1667
[154] Lasserre J. B.. An integrated model for job shop planning and scheduling[J]. M-anagement Science,1992,38(8):201-1211
[155] Kumar M., Rajotia S.. Integration of Process Planning and Scheduling in a JobShop Environment[J].International Journal of Advanced Manufacturing Technology,2005,28(1/2):109-116
[156] Wang L., Shen W., Hao Q.. An overview of distributed process planning and itsintegration with scheduling[J]. International Journal of Computer Applications inTechnology,2006,26(1/2):3-14
[157]董朝阳，孙树栋.基于免疫遗传算法的工艺设计与集成调度集成[J].计算机集成制造系统，2006，12(11)1808-1813
[158]董兴辉，高陆，徐晓慧，等.协同装配信息集成建模及装配序列规划研究[J].计算机辅助设计与图形学学报，2003，15(7):823-827
[159] Yokoyama M.. Flow shop scheduling with setup and assembly operations[J]. Eu-ropean Journal of Operational Research，2008,187:1184-1195
[160] WANG Xianpeng，TANG Lixin.A tabu search heuristic for the hybrid flow shopscheduling with finite intermediate buffers[J].Computers and Operations Research，2009,36:907-918.
[161]张国庆，荆学东，浦耿强等.汽车发动机可再制造性评价[J].中国机械工程，2005，16(8):739-742
[162] Erik S., Bert B.. Making functional sales environmentally and economically ben-eficial through product remanufacturing[J], Journal of Cleaner Production,2005,13(9):913-925
[163] Majumder P., Competition in remanufacturing[J]. Production and Operations Ma-nagement,2001,10(2):125-141
[164]曹华军，王本涛，刘飞，等.再制造工艺过程二阶优化决策方法[J]，计算机集成制造系统，2010，16(5):935-941
[165] MA Seitz. A critical assessment of motives for product recovery: the case of e-ngine remanufacturing[J]. Journal of Cleaner Production，2007,15(12):1147-1157
[166]陈俊.基于约束理论的再制造生产系统设计、建模与仿真技术研究[D].吉林大学，2009.12
[167] Topcu A..A heuristic approach based on golden section mulation-optimization forreconfigurable remanufacturing inventory space planning [D]. Northeastern Univ-ersity,2009.8
[2]蔡宗琰.集成的智能计算机辅助可重构制造系统设计研究[D].西北工业大学,2002.3
[3] Bras B, Isaacs J. A.，Overcash M.. Environmentally benign manufacturing-A work-shopreport[J].Journal of cleaner production.2006,14(5):527-535
[4]刘飞，张晓冬，杨丹，等.制造系统工程[M].北京:国防工业出版社,2000.10
[5] Jovane F.. How to maintain competitiveness on the way towards sustainable manu-facturing?[J], Tampere Manufacturing Summit,2007(6):6-7
[6] Jovane F.，Yoshikawa H.，Alting L.，et al. The incoming global technological andindustrial revolution towards competitive sustainable manufacturing[J].CIRP AnnalManufacturing Technology,2008，57：641-659
[7] Sustainable Design&Manufacturing(SDM).http://www.sdm.gatech.edu/,2009.10.11
[8] Consortium on Green Design and Manufacturing(CGDM),University of California,Berkeley.http://cgdm.berkeley.edu/,2009.10.11
[9] Gutowski T., Dahmus J., Thiriez A.. Electrical Energy Requirements for Manufact-uring Processes[A].13th CIRP International Conference on Life Cycle Engineering
[C], Leuven,Belgium,2006:31-35
[10] Sustainable Futures Institute(SFI).http://www.sfi.mtu.edu/publications.htm,2009.10.15
[11]刘飞，曹华军，张华.绿色制造的理论与技术[M].北京:科学出版社,2005
[12]谷振宇，曹华军，刘飞.基于拆卸树模型的定制产品绿色设计支持系统[J].计算机集成制造系，2009，15(4):639-645
[13] Howarth G,，Hadfield M.. A sustainable product design model [J]. Materials andDesign,2006,27(10):1128-1133.
[14]席俊杰,马明林,吴中.复杂产品的并行式绿色设计研究[J].制造技术与机床，2007.5：60-63
[15]任家隆，邹家生.绿色制造中切削冷却方法的研究[C].现代企业与制造技术高层论坛，2005：62-66
[16]王章勇.面向绿色制造切削液的选择[J].机械与电子，2009(5):16-19
[17]候亚丽，李长河，丁玉成.绿色切削磨削加工技术[J].工具技术，2009,43(4):3-6
[18] Jeffrey B., Dahmus, Timothy G. G.. An environmental analysis of machining[A].Proceeding of IMECE2004[C],2004ASME International Mechanical EngineeringCongress and RD&D Expo,2004:1-10
[19] Gutowski T., Dahmus J., Dalquist S.. Measuring the Environmental Load of Man-ufacturing Processes[A], International Society for Industrial Ecology(ISIE)[C],3rdInternational Conference, Stockholm, Sweden,2005:12-15
[20]曹华军.面向绿色制造的工艺规划技术研究[D].重庆大学，2004
[21] Gutowski, T., Dahmus J.. Environmental Analysis of Manufacturing Processes[A],Proceedings of the2004NSF Design[C], Service and Manufacturing Grantees andResearch Conference, Dallas, Texas,2004:5-8
[22]谭显春.面向绿色制造的工艺规划中工艺要素及工艺过程优化方法研究[D],重庆大学，2004
[23] Xue H., Kumar V., Sutherland J. W.. Material flows and environmental impacts of manufacturing systems via aggregated input-output models[J]. Journal of CleanerProduction,2007,15(13):1349-1358
[24]藩全科，左凤朝，朱剑英.面向绿色制造模式的Petri网模型及优化算法[J].机械工程学报，2006.42(9):48-53
[25]何彦.面向绿色制造的机械加工系统任务优化调度方法研究[D],重庆大学，2007
[26] Melnyk S. A., Sroufe R. P., Montabon F. L., et al. Green MRP:identifying thematerial and environmental impacts of production schedules.International Journal ofProduction Research,2001,39(8):1559-1573
[27]徐滨士.再制造与循环经济[M].北京：科学出版社,2007.8
[28]刘光复，刘志峰，李钢.绿色设计与绿色制造[M].北京：机械工业出版社，2000.4
[29]江志刚，张华，肖明.面向绿色制造的生产过程多目标集成决策模型及应用[J].机械工程学报,2008,44(4):41-46.
[30]李清，谭旭，徐大丰.再生制造系统的问题.体系及方法[J].清华大学学报（自然科学版），2009，49（7）：1074-1079
[31]徐滨士.再制造工程的现状与前沿[J].材料热处理学报，2010.31(1):10-14.
[32] Jovane F., Westk mper E., David J.. Williams The manufuture road: towards competitive and sustainable high-adding-value manufacturing[M],Springer:2007
[33]国内外再制造的新发展及未来趋势[EB/OL]. http://www.fengj.com/hqbj/new_show.asp?info_id=320116，2009.10.15
[34]我国能源消费总量及速度[EB/OL].http://data.chinabaogao.com/nengyuan/2008/1212194632008.html2011.1.15
[35] Yang Jiechi. Notable highlights, remarkable achievements[EB/OL] http://english.peopledaily.com.cn/90001/90780/91342/6844841.html，2009.12.15
[36]《机电产品再制造试点单位名单（第一批）》的通知. http://www.mei. gov.cn/industry/utility/news. jsp?cd=289069&edittime=2009-12-23#.2010.3.
[37]何霆，刘飞，马玉林.车间生产调度问题研究[J].机械工程学报,2000,36(5):97-102
[38]秦艳，孙志峻.车间多目标优化调度问题的研究方法和应用[J].现代制造工程，2007，(12)：139-144
[39]刘琳.动态不确定环境下生产调度算法研究[D].上海交通大学，2007.6
[40] Rodammer M. T., White K. P.. A recent survey of Production seheduling[J].IEEETransaetionson Systems，Man and Cyberneties，1988，18(6):841-851
[41]吴秀丽.多目标柔性作业车间调度技术研究[D].西北工业大学：2006.5
[42]苑明海.可重构装配线建模、平衡及调度研究[D].南京理工大学：2008.4
[43]贾兆红.粒子群优化算法在柔性作业车间调度中的应用研究[D].中国科学技术大学：2008.4
[44]湛红晖.非线性工时多工艺路线条件下作业车间调度问题研究[D].华中科技大学，2010.5
[45] Johnson S.. Optimal two-and-three stage production schedules with setup timeinclude[J]. Naval Research Logisttics Quarterly,1954,1:61-68
[46] Wang C.Y., Wang D.W., Ip W.H., et al.The single machine ready time schedulingproblem with fuzzy processing times[J]. Fuzzy Sets and Systems,2002，127(2)：117-129
[47] Tian Z. J.. Single-machine scheduling with release dates and due dates[D]. HongKong Polytechnic University：2003
[48]王成尧，高麟，汪定伟.模糊加工时间单机E/T调度问题的GA算法[J].控制与决策,1998,13：418-427
[49] Chekuri C., Motwani R.. Precedence constrained scheduling to minimize sum ofweighted completion times on a single machine[J].Discrete Applied Mathematics,1999,98(1):29-38
[50]童刚，李光泉，刘宝坤.用遗传算法解决在并行机上带有不同交货期窗口的Job S-hop调度问题[J].系统工程,2000,18(3):37-42
[51] Hurink J., Knust S.. List scheduling in a parallel machine environment with prec-edence constraints and setup times.Operations Research Letters,2001,29(5):231-239
[52]陈秋双，齐向彤，涂奉生. Job Shop投入控制与调度研究[J].系统工程学报，1997，12(2)：49-56
[53]于晓义，孙树栋，王彦革.面向随机加工时间的车间作业调度.中国机械工程，2008，19(19)：2319-2323
[54]羌磊，肖田元，宋士吉.基于不确定作业时间的FSMP调度问题研究，控制与决策，2004，19(2)：162-166
[55]李素粉，朱云龙，尹朝万.具有随机加工时间和机器故障的流水车间调度[J].计算机集成制造系统，2005，11(10)：1425-1429
[56]熊锐，陈浩勋，胡保生.一种生产计划与车间调度的集成模型及其拉氏松弛求解法[J].西安电子科技大学学报，1996,23(4)：509-516
[57]严洪森，夏琦峰，朱闵如，等.汽车装配车间生产计划与调度的同时优化方法[J].自动化学报，2002,28（6）：911-919
[58]张晓东，严洪森.多级车间生产计划与调度的集成优化[J].机械工程学报.2005,41(9)：98~105
[59]白俊杰，龚毅光，王宁生，等.多目标柔性作业车间分批优化调度[J].计算机集成制造系统，2010，16(2)：396-403
[60]张超勇，董星，王晓娟，等.基于改进的非支配排序遗传算法的多目标柔性作业车间调度[J].机械工程学报，2010,46(11)：156-164
[61]芮执元，冯亚岗，刘军，等. JIT柔性混合流水车间生产调度问题研究[J].机械与电子，2009，(10)：61-64
[62]蔡宗淡，王宁生.基于赋时可重构Petri网的可重构制造系统调度算法[J]，西南交通大学学报，2004，39(3)：341-344
[63]陈勇，戴先中.可重构制造系统的车间作业调度策略[J].东南大学学报(自然科学版，增刊)，2004，34：35-40
[64] Ghaith R., Mansooreh M., Georgios C.. A branch-and-bound algorithm for theearly/tardy machine scheduling problem with a common due-date and sequence-dependent setup time[J].Computers&Operations Research,2004,31(10):1727-1751
[65] Xiong R., Fan Y.S., Wu C.. A dynamic job shop scheduling method based onlagrangian relaxation[J]. Tsinghua Science and Technology,1999,4(1):1297-1302
[66] Raaymakers W. H. M., Hoogeveen J. A.. Scheduling multipurpose batch processindustries with no-wait restrictions by simulated annealing[J].European Journal ofOperational Research,2000,126(1):131-151
[67] Amaral V. A., Rigao C. S.. Tabu search for minimizing total tardiness in a jobshop[J]. International Journal of Production Economics,2000,63(2):131~140
[68] Torabi S. A., Karimi B., Fatemi S. M. T.. The common cycle economic lot sche-duling in Flexible Job Shops:The Finite Horizon Case[J]. International Journal ofProduction Economics，2005，97(l):52-65
[69] Hoitomt D. J.. A practieal approach to job-shop scheduling problems[C].The proc-eedings of IEEE Transactions on Robotics and Automation, Pascataway: IEEE Pr-ess,1993,9(I):1-13
[70]张传芹，盛昭瀚.连续过程生产调度预警及专家系统的应用研究[J].信息与控制，2002，31(4)：300-303
[71]徐新黎，王万良，吴启迪.改进计算能量函数下作业车间调度的混沌神经网络方法[J].控制理论与应用，2004，21(2):311-314
[72] Feldmann M., Biskup D.. Single-machine scheduling for minimizing earliness andtardiness penalties by meta-heuristic approaches[J]. Computers and Industrial Eng-in eering,2003,44(2):307-323
[73] Ksalan M. K., Burak K. A..Using genetic algorithms for single-machine bicriteriascheduling problems[J]. European Journal of Operational Research,2003,145(3)：543-556
[74] Grosso A., Della C. F., Tadei R.. An enhanced dynasearch neighborhood for thesingle machine total weighted tardiness scheduling problem[J].Operations ResearchLetters,2004,32(1):68-72
[75]冯奇峰，李言.运用带有记忆库的遗传算法求解作业车间调度问题.计算机集成制造系统，2005，11(8)：1142-1146
[76]沈斌，周莹君，王家海.基于自适应遗传算法的流水车间作业调度[J].计算机工程，2010，36(14)：201-203
[77]田野，刘大有.求解流水车间调度问题的混合离子群算法[J].电子学报，2011，39(5):1087-1092
[78]刘敏，严隽薇.基于自适应退火遗传算法的车间日作业计划调度方法[J]，计算机学报，2007，30(7):1164-1172
[79]李修琳，鲁建厦，柴国钟，等.混合蜂群算法求解柔性作业车间调度问题[J].计算机集成制造系统，2011，17(7):1495-1500
[80]谢圣献，藩全科，潘玉霞，等.蛙跳算法与批量无等待流水线调度问题的优化[J].计算机应用研究，2010，27(8)：2009-2912
[81] Fleischmann M., Jacqueline M., Dekker R., et al. Quantitative models for reverselogistics:A review[J].European Journal of Operational Research,1997,103(1):1-17
[82] Lambert A.. Optional disassembly of complex product[J]. Int.J.Prod.Res.,1997,35(9):2509-2523.
[83] Lozano P. T., Wilson R. H., Assembly sequencing for arbitrary motion[J].In:IEEEProceeding of Robotics and Automation,1993
[84]潘晓勇，骆祥峰，刘光复，等.基于层次概率模糊认知图的产品拆卸序列研究[J].机械工程学报，2003,39(4)：6-10
[85] Lee D. H., Xirouchakis P.. A two stage heuristic for disassembly scheduling withassembly product structure[J]. Journal of the Operations Research Society,2004,55(3):287-297
[86] Gao Nan, Chen Weida. A genetic algorithm for disassembly scheduling with asse-mbly product structure[A]. Proceedings of2008IEEE International Conference onService Operations and Logistics,and Informatics[C].Beijing,China,2008:2238-2243
[87]陈伟达，高楠.再制造系统能力约束下拆卸批量计划优化方法[J].东南大学学报(自然科学版),2009,39(5)：1081-1086
[88] Goli, Z.. Application of generalized stochastic petri nets(GSPN) in modeling andevaluating a resource sharing flexible manufacturing system[J]. Proceedings of W-orld Academy of Science, Engineering and Technology,2009,57:356-365.
[89] Yasuda. Design and distributed control of discrete event robotic manufacturing sy-stems using Petri nets[A]. Proceedings of the2009IEEE International Conferenceon Automation and Logistics[C], ICAL2009:1861-1866
[90] Luciano B., Mauro P.. Improving UML with Petri nets[J],Electronic Notes in Theoretical Computer Science,2001,44(4):107-119
[91]尚文利，王成恩，张士杰，等.基于IDEF与UML的系统建模方法[J].计算机集成制造系统,2004,10(3)：252-258
[92] Pirvu A. M., Genevieve D. T., Kubiak P.. Automatic adaptation of a bondgraphmodel to transfer function specifications[J]. Simulation Modelling Practice and Theory,2009，17(1)：257-270
[93]廖伟志，古天龙，李文敬，等.模糊柔性制造系统的混杂Petri网建模与调度[J].计算机集成制造系统，2008，14(11)：2135-2141
[94]王景华，韩江洪，刘征宇，等.面向对象Petri网离散制造系统生产调度建模研究[J].系统仿真学报，2008,20(15)：4159-4162
[95] Savaskan R. C., Bhattacharya S., Wassenhove L. N.. Closed Loop supply chainmodels with product remanufacturing[J].Management Science,2004,50(2):239-252
[96] Kara S., Rugrungruang F., Kaebernick H.. Simulation modelling of reverse logisti-cs networks[J]. International Journal of Production Economics,2007,106(1):61-69
[97]孙宝凤，田小川，肖伟，等.再制造系统Drum-Buffer-Rope仿真建模[J].吉林大学学报（工学版），2008,38(4)：853-857
[98] Fleischmann M., Bloemhof R., Dekker R., et a1. Quantitative models for reverselogistics[J]. European Journal of the Operations Researchs,1997，103(1):1-17
[99]陈秋双，刘东红.再制造系统的库存控制研究[J].南开大学学报（自然科学版），2003，36(3)：67-71
[100]范文姬.不确定环境下的再制造物流系统库存控制与协调研究[D].北京交通大学：2010.6
[101] Dobos I., Richter K.. A production/recycling model with quality consideration[J].International Journal of Production Economics,2006,104(2)：571-579.
[102] Richter K., Weber J.. The reverse Wagner/Whitin model with variable manufact-uring and remanufacturing cost[J]. International Journal of Production Economics,2001,71(3)：447-456
[103] Charnes A., Cooper W. W.. Chance-constrained programming[J]. Management S-cience,1959,6(1)：73-79
[104]张红宇，高阳，马华.基于可变长工序编码的再制造生产车间调度方法[J].计算机应用研究,2010,27(3):871-873
[105]苏春，沙洋娟.基于混合不确定性和证据理论的再制造生产计划[J].东南大学学报(自然科学版)，2010，40(4):712-716
[106] Arindam R., Kalipada M., Samarjit K., et al. A production-inventory model withremanufacturing for defective and usable items in fuzzy environment[J].Computer-s and Industrial Engineering,2009,56(1):87-96
[107]肖人彬，蔡政英.不确定质量水平下闭环质量链的成本模糊控制[J].计算机集成制造系统,2009，15(6)：1207-1214
[108] Dekker R., Fleischmann M.. Reverse Logistics: Quantitative Models for ClosedLoop Supply Chain[M]. Rotterdam: Springer,2004
[109] Guide Jr. Production planning and control for remanufacturing: Industry practiceand research needs[J]. Journal of Operations Management,2000,18(4):467-483
[110]蔡宗琰，李小宁.制造执行系统的生产管理控制研究[J].计算机工程与应用，2006,7:184-187
[111]储江伟，张铜柱.汽车再制造企业运作模式探讨[J].商用车与发动机，2009，34(1):64-66
[112] Laan E.. An NPV and AC analysis of a stochastic inventory system with jointmanufacturing and remanufacturing[J].International Journal of Production Econom-ics,2003,81-82:317-331
[113] Christos Z., George T.. On the attractiveness of sorting before disassembly in r-emanufacturing[J]. IIE Transactions,2008,40(3):313-323
[114] Spyros A. R.. Uncertainty Management Optimal Disassembly Planning throughLearning-based Strategies[J]. IIE Transactions,2007,39(6)：645-658
[115]刘晓冰，李忠凯，黄学文，等.一种面向柔性生产的动态调度模型[J].计算机应用研究，2009，26(9):3239-3241,3273
[116]王国磊，钟诗胜，林琳.面向多机动态调度问题的两层Q学习算法[J].智能系统学报，2009，4(3)：239-244
[117]吴秀丽.柔性作业车间动态调度问题研究[J].系统仿真学报，2008,20(14):3828-3832
[118] Clegg A. J.，Williams D. J.，Uzsoy R.. Production planning for companies withremanufactureing capability[A]. Proceedings of the1995IEEE International Sym-posium on Electronics and the Environment [C]. Orlando, USA:1995：186-191
[119] Luh Peter B.，Yu Danqing，Soorapanth S.，et al. Alagrangian relaxation basedapproach to schedule asset overhaul and repair services[J]. IEEE Transactions onAutomation Science and Engineering,2005,2(2)：145-156
[120] Franke C.，Basdere B.，Ciupek M.，et al. Remanufacturing of mobile phones c-apacity，program and facility adaptation planning[J]. Omega,2006，34(6):562-570
[121] Kim K.，Song I.，Kim J.，et al. Supply planning model for remanufacturing sy-stem in reverse logistics environment[J]. Computers and Industrial Engineering,2006,51(2)：279-287
[122]苏春.基于堆垛机服务能力的板材FMS仿真研究[J].系统仿真学报，2002，14(6)：824-826.
[123] Guide Jr., Srivastava R.. Evaluation of order release strategies in a Remanufact-uring environment[J]. Computers&Operations Research，1997，24(1)：37-47
[124] Guide Jr., Souza G. C., Van D.. Performance of static priority rules for sharedfacilities in a remanufacturing shop with disassembly and reassembly [J].EuropeanJournal of Operational Research，2005(2):341-353
[125] Li Yongjian, Chen Jian, Cai Xiaoqiang. Heuristic genetic algorithm for capacitat-ed production planning problems with batch processing and remanufacturing[J].International Journal of Production Economics,2007(2)：301-317
[126] Guide Jr., Kraus M. E., Srivastava R.. Scheduling policies for remanufacturing[J].International Journal of Production Economics,1997(2):187-204
[127] Guide Jr.. Scheduling with priority dispatching rules and drum-buffer-rope in arecoverable manufacturing system[J]. International Journal of Production Econo-mics,1999(1):101-116
[128]蔡兰.制造业车间调度及其评估理论的研究和应用[D].武汉理工大学：2008.10
[129]吴波.车间调度性能评价理论及其应用[D].武汉理工大学：2008.5
[130]郭秀萍.多目标进化算法及其在制造系统中的应用[D].上海交通大学：2007.4
[131] Zitzler E., Thiele L.. Multi-objective evolutionary algorithms: A comparative casestudy and the strength pareto approach[J]. IEEE Transactions on Evolutionary C-omputation.1999，3(4)：257-271
[132] Mansouri S.A.. Multi-Objective Genetic Algorithm for mixed-model sequencingon JIT assembly lines[J]. European Journal of Operational Research,2005，167(3)：696-716
[133] Wein L. M., Chevalier P. B.. A broader view of the job shop scheduling probl-em[J].Management Science,1992,38(7):1018-1033
[134]汪万良，吴启迪.生产调度智能算法及其应用[M].北京：科学出版社，2007.7
[135] Guide Jr. Scheduling Using Drum-Buffer-Rope in a Remanufacturing Environme-nt[J]. International Journal of Production Research,1996,34(4):1081-1091.
[136]曹炳元.应用模糊数学与系统.北京：科学出版社，2005.10
[137]王凌.车间调度及其遗传算法[M].北京：清华大学出版社，2003
[138] Goldberg D. E., Richardson J.. Genetic Algorithms with Sharing for MultimodalFunction Optimization[A]. In: Proc.of end Int.Conf.on Genetic Algorithms[C],Lawrence Erlbaum Associates,1987:56-60
[139]徐震浩,顾幸生.不确定条件下的Flow Shop问题的免疫调度算法[J].系统工程学报,2005,20(4):374-375
[140]耿兆强,邹益仁.基于遗传算法的作业车间模糊调度问题的研究[J].计算机集成制造系统,2002,8(8):616-620
[141]于艾清，顾幸生.基于广义粗糙集的不确定条件下的Flop Shop调度[J].系统仿真学报，2006，18(12):3369-3372
[142] Ishibuchi H.，Yamamoto N.，Murata T.. Genetic algorithms and neighborhood s-earch algorithm for fuzzy flowshop scheduling problem[J]. Fuzzy Sets and Syste-ms，1999，67(1)：81-100
[143] Sakawa M.，Kubota R.. Fuzzy programming for multiobjective job shop schedul-ing with fuzzy processing time and fuzzy due date through genetic algorithms[J]. European Journal of Operational Research，2000,120(2):393-407
[144]刘东波，陈玉娟，黄道，等.随机灰色提前期条件下制造/再制造混合系统库存优化[J].华东理工大学学报，2007，33(4):529-535
[145]周莉，许淑君，Stephen M. D..制造与再制造混合系统中库存与牛鞭效应的分析与优化[J].上海交通大学学报，2005，39(10):1587-1591
[146]赵晓敏，黄培清，林英晖.混合型制造/再制造混合系统建模及仿真研究[J],信息与控制，2007，36(6)：739-745
[147] Inderfurth K.,Vander L. E.. Lead time effects and policy improvement for stoch-astic inventory control with remanufacturing[J].International Journal of ProductionEconomics,2001,71(1-3):381-390
[148] Kiesmuller G. P.. Optimal control of a one product recovery system with leadtimes[J]. International Journal of Production Economics,2003,(81-82):333-340
[149]王能民，孙青林.启发式遗传算法的生产能力约束多产品再制造批量决策[J]，工业工程，2009，12(1):13-16
[150]刘宝锭，赵瑞清，王纲.不确定规划及应用[M]，北京:2003,8
[151] Reeves C. R..Modern heuristic techniques for combinatorial problems[M].Oxford：Blackwell Scientific Publications,1993
[152] Conway R. W., Maxwell W. L., Miller L.. Theory of scheduling[M]. AddisonWesley, Reading Mass,1967
[153]尚文利，范玉顺.成批生产计划调度的集成建模与优化[J].计算机集成制造系统，2005，11(2):1663-1667
[154] Lasserre J. B.. An integrated model for job shop planning and scheduling[J]. M-anagement Science,1992,38(8):201-1211
[155] Kumar M., Rajotia S.. Integration of Process Planning and Scheduling in a JobShop Environment[J].International Journal of Advanced Manufacturing Technology,2005,28(1/2):109-116
[156] Wang L., Shen W., Hao Q.. An overview of distributed process planning and itsintegration with scheduling[J]. International Journal of Computer Applications inTechnology,2006,26(1/2):3-14
[157]董朝阳，孙树栋.基于免疫遗传算法的工艺设计与集成调度集成[J].计算机集成制造系统，2006，12(11)1808-1813
[158]董兴辉，高陆，徐晓慧，等.协同装配信息集成建模及装配序列规划研究[J].计算机辅助设计与图形学学报，2003，15(7):823-827
[159] Yokoyama M.. Flow shop scheduling with setup and assembly operations[J]. Eu-ropean Journal of Operational Research，2008,187:1184-1195
[160] WANG Xianpeng，TANG Lixin.A tabu search heuristic for the hybrid flow shopscheduling with finite intermediate buffers[J].Computers and Operations Research，2009,36:907-918.
[161]张国庆，荆学东，浦耿强等.汽车发动机可再制造性评价[J].中国机械工程，2005，16(8):739-742
[162] Erik S., Bert B.. Making functional sales environmentally and economically ben-eficial through product remanufacturing[J], Journal of Cleaner Production,2005,13(9):913-925
[163] Majumder P., Competition in remanufacturing[J]. Production and Operations Ma-nagement,2001,10(2):125-141
[164]曹华军，王本涛，刘飞，等.再制造工艺过程二阶优化决策方法[J]，计算机集成制造系统，2010，16(5):935-941
[165] MA Seitz. A critical assessment of motives for product recovery: the case of e-ngine remanufacturing[J]. Journal of Cleaner Production，2007,15(12):1147-1157
[166]陈俊.基于约束理论的再制造生产系统设计、建模与仿真技术研究[D].吉林大学，2009.12
[167] Topcu A..A heuristic approach based on golden section mulation-optimization forreconfigurable remanufacturing inventory space planning [D]. Northeastern Univ-ersity,2009.8