Abstract
High-tech industry is highly capital intensive and technology-intensive industry, and each company focus on their core business to improve their competitiveness. Therefore, complete supply chain is composed of these company and new business models is builded. However, interal manufacturing problems and extendal management issues are complex. The demand uncertainty is serious since information in supply chain will be affect by the bullwhip effect. There are many different techniques, product portfolio, size, tools, process. The actual output is less than the built capacity since the constraints and relative ship in the fab. Therefore, the information systems are implemented to deal with these complex problem. For the enterprise resource, this study provided a process for developing business optimization support system (BOSS) for high-tech industry. First, we clarified the relationship between the decision elements by PDCCCR framework and influence diagram. Then we build mathematical programming model for conceptual model. The decision makers can optimize the allocation of resoure and Improve the decision flow of company to push decision process reengineering. The first empirical study is a case of vertically integrated solar panel manufacturing company. We built a multi-objective business optimization support systems for demand fulifullment problem. The system considered different business models, specifications and customers to optimize three common financial indicators, renvene, profits, and margin rate. The second one is chip purchasing and production planning in LED industry. The model considered the deviation of the output distribution during the production to allocate the amount of the combination of chip and process to maximize profit.