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《Journal of Southeast University (Natural Science Edition)》 2004-S1
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Job-shop scheduling strategy in reconfigurable manufacturing systems

Chen Yong Dai Xianzhong (Department of Automatic Control Engineering, Southeast University, Nanjing 2100 96, China)  
This paper presents a practical hierarchical strategy to reconfigure the layout of an reconfigurable manufacturing system (RMS) incorporated with multiple autom ated guided vehicles (AGVs), and to obtain a feasible schedule with minimum tota l tardiness and maximum machines utilizations. The strategy includes three stage s in sequence. At first stage, an augmented Lagrangian relaxation method is deve loped to obtain a preparatory job-shop scheduling. The method can decompose the scheduling problem subject to complex constraints into multiple subproblems at operation-level for the selection of operation beginning times and machine type s. Then the layout is reconfigured to fabricate virtual manufacturing cells with the goal to minimize material handling cost of AGVs. Finally the static schedul e in each virtual manufacturing cell is generated with discrete dynamic programmi ng. Numerical study demonstrates that manufacturing systems of practical sizes c an be effectively and rapidly reconfigured to accommodate production changes.
【Fund】: 国家重点基础研究发展计划 (973计划 )资助项目 (2 0 0 2CB3 12 2 0 0 ) .
【CateGory Index】: F407.4
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