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Hybrid Priority-based Genetic Algorithm for Multi-stage Reverse Logistics Network
Jeong-Eun Lee,Mitsuo Gen,Kyong-Gu Rhee 대한산업공학회 2009 Industrial Engineeering & Management Systems Vol.8 No.1
We formulate a mathematical model of remanufacturing system as multi-stage reverse Logistics Network Problem (mrLNP) with minimizing the total costs for reverse logistics shipping cost and inventory holding cost at disassembly centers and processing centers over finite planning horizons. For solving this problem, in the 1st and the 2nd stages, we propose a Genetic Algorithm (GA) with priority-based encoding method combined with a new crossover operator called as Weight Mapping Crossover (WMX). A heuristic approach is applied in the 3rd stage where parts are transported from some processing centers to one manufacturer. Computer simulations show the effectiveness and efficiency of our approach. In numerical experiments, the results of the proposed method are better than pnGA (Prufer number-based GA).
Hybrid Priority-based Genetic Algorithm for Multi-stage Reverse Logistics Network
Lee, Jeong-Eun,Gen, Mitsuo,Rhee, Kyong-Gu Korean Institute of Industrial Engineers 2009 Industrial Engineeering & Management Systems Vol.8 No.1
We formulate a mathematical model of remanufacturing system as multi-stage reverse Logistics Network Problem (mrLNP) with minimizing the total costs for reverse logistics shipping cost and inventory holding cost at disassembly centers and processing centers over finite planning horizons. For solving this problem, in the 1st and the 2nd stages, we propose a Genetic Algorithm (GA) with priority-based encoding method combined with a new crossover operator called as Weight Mapping Crossover (WMX). A heuristic approach is applied in the 3rd stage where parts are transported from some processing centers to one manufacturer. Computer simulations show the effectiveness and efficiency of our approach. In numerical experiments, the results of the proposed method are better than pnGA (Prufer number-based GA).
Automated Guided Vehicles Dispatching in Flexible Manufacturing System
Hui-Sang Lee,Lin LIn,Mitso Gen 대한산업공학회 2008 대한산업공학회 추계학술대회논문집 Vol.2008 No.11
Recently, the automated guided vehicles (AGVs) dispatching has received considerable attention in technical literature on flexible manufacturing system (FMS). The AGVs dispatching as well as the scheduling of operations is essential factor contributing to the efficiency of the overall FMS. In this paper, we focused on the simultaneous scheduling and dispatching AGVs in a FMS. We proposed an effective evolutionary approach for solving AGVs dispatching problems, minimizing the makespan, the number of AGVs and the mean tardiness. For this multiobjective problem, priority-based encoding method and adaptive weight Genetic Algorithm (awGA) were addressed. And numerical results show the effectiveness of proposed approach.