Abstract
The price of electronic products trends down obviously without innovative technology. The expenses of management, marketing and research cannot be shared because of low output value, especially in the Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET) industry. New entrants from China beat Taiwan industry by holding assistance of their government. In such a harsh industrial environment, production and logistics planning with comprehensive consideration is very important. In order to maximize profit, mathematical programming model which consider production condition, logistics, customer demand and margin was proposed. Manufacture quantity of each factories, transport times, transport quantities between nodes and shipping quantities from each node can come out from this model immediately with input of production capacity, customer demand, freight rate, inventory, production cost and selling price. Production planner, sales, financial officer and top managers can get some information from these results. Benefit and lost can be evaluated by changing some parameters in this model. The mathematical model of this study is an integer linear programming (ILP) problem. After comparing some software from various companies and research institutions, Gurobi was chose to optimize the problem, and MATLAB was applied to be the interface. The Model is useful and can raise profit after analyzing the rationality of result and comparing the result with actual data for a real case. Although the model can be applied to operations of real companies, this research did not give careful consideration to planning cycle, supply of raw materials, non-turnkey model and huge scale of data. More efforts should be made in the future.