Chung-Ho Wang

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Logistics has received considerable attention recently due to the rapid technological development of electronics and the Internet. Normally, clients expect items to be delivered at times that are convenient for their own schedules. Therefore, a multi-objective problem (MOP) model that simultaneously considers the depot desires and clients expectations can(More)
Research RobustDesign forMultiple DynamicQualityCharacteristics UsingDataEnvelopmentAnalysis Lee-Ing Tong1, Chung-Ho Wang2 and Chih-Wei Tsai1,∗,† 1Department of Industrial Engineering and Management, National Chiao Tung University, 1001 Ta Hsueh Road, Hsinchu, Taiwan 30050, Republic of China 2Department of Power Vehicle and Systems Engineering, Chung Cheng(More)
This study minimizes the periodic preventive maintenance cost for a series-parallel system using an improved particle swam optimization (IPSO). The optimal maintenance periods for all components in the system are determined efficiently. Though having advantages such as simple understanding and easy operation, a typical particle swam optimization (PSO) is(More)
In this study, a multi-objective hybrid genetic algorithm (MOHGA) is proposed to optimize a multi-objective imperfect preventive maintenance (MOIPM) model. The MOHGA proposed not only utilizes a Pareto-based technique to determine and retain the superior chromosomes as the GA chromosome evolutions are performed, but also guides their search direction. In(More)