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《China Mechanical Engineering》 2006-13
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Decision-making Model for Job Shop Scheduling with Fuzzy Processing Parameters in Green Manufacturing and Its Algorithms

Pan Quanke~1 Wang Wenhong~1 Zhu Jianying~21.Liaocheng University,Liaocheng,Shandong,2520592.Nanjing University of Aeronautics and Astronautics,Nanjing,210016  
Green manufacturing is a modern manufacturing model that has the goal of designing and delivering products which minimize negative effects on the environment through their use,production,or disposal.Because of the lack of historical data as well as the nature of the imprecision,processing parameters(such as time,cost etc) were modeled with the use of fuzzy numbers.A decision-making model for the job shop scheduling in green manufacturing was established,and its targets were for improving product quality,reducing product cost,depressing the resource consuming,minimizing the makespan,and cutting down negative effects on the environment.Then a hybrid procedure was presented by combining the multi-objective genetic algorithms with fuzzy evaluation.As a result,a case study was performed to illustrate and examine the practicability of the model and feasibility of the multi-objective genetic algorithms.
【Fund】: 国家自然科学基金资助项目(50275078);; 山东省自然科学基金资助项目(2004ZX14)
【CateGory Index】: F224
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