Ching-Shih Tsou

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Optimization is a process of finding and comparing feasible solutions until no better solution can be found. Evolutionary algorithms can find multiple optimal solutions in one single simulation run due to their population approach. This characteristic is especially important for multi-objective optimization because the goal of generating the Pareto front is(More)
Duncan first proposed the economic design of x control charts in 1956 to control normal process means and ensure that an economic design control chart actually lowers the cost, compared with a Shewhart control chart. Many authors have studied the control charts from economic viewpoint from then on. An economic design does not consider the statistical(More)
The agreement of due dates is the need for customer satisfaction, which is a critical factor to survive in today's highly competitive market for Semiconductor industry. However, undesirable and inevitable production variations make it difficult to maintain and improve factory's performance on due dates, especially for those back-end factories closer to(More)
Particle swarm optimization algorithm is easy to reach premature convergence in the solution process, and fall into the local optimal solution. Aiming at the problem, this paper proposes a particle swarm optimization algorithm with chaotic mapping (CM-PSO). The algorithms uses chaotic mapping function to optimize the initial state of population, improve the(More)
Inventory management involves trade-offs between conflicting objectives such as cost minimization and service level maximization. The trade-off analysis of cycle stock investment and workload, so called the exchange curve, possibly dates back to several decades ago. These analyses seldom formulated inventory trade-offs as a multi-objective optimization(More)