| Summary: | 碩士 === 國立臺北科技大學 === 商業自動化與管理研究所 === 88 === For decades, the textile industry has become the industry that earns the most foreign exchange in Taiwan. Especially, the Polyester Fiber Textile Industry shows its potential in the global economic society. However, facing the globalization, worldwide competition, quick changes of market and customer expectation, the industry has to reengineer itself to one fully integrated unit, not be broken up into specialized segments. Meanwhile, the operation structure must be simplified to be responsive to market change and rationalized its operation processes. At the moment, Supply Chain Management (SCM) has to be introduced by the industry for minimizing operational risk and cost. By integrating the firms in this industry, SCM system could quickly response to the customers’ demand.
The purpose of this research is to construct the supply chain model of the Polyester Fiber Textile Industry in Taiwan. According to the characteristics of the industry, it exists forecast-based supply chain model and response-based model. The main reason of the unbalance between the demand and supply is the different supply chain strategy utilized by the firms. Because of the growing complexity and dynamic in the industry environment, this research uses the System Dynamics Approach, which could able to transform complex interactive feedback loops into mathematical equation systems, to build the SCM model and analyze the success of different SCM strategies within different time horizons. Scenarios Analysis methodology applies in this research is used to investigate the predicted impacts to the industry. The scenarios for system dynamics analysis include: (1) industrial present situation, (2) market demand variation, (3) upstream raw material variation, (4) capacity extension situation, and (5) capacity reduction situation. The statistical procedures are used to compare the efficiency between different strategies under the scenarios. By simulating all the variables and observing their dynamic behavior, the result shows that the synthetic filament textile supply chain exists inventory time-delay patterns. The upstream inventory oscillation does affect the downstream inventory. It also shows the distorted order information will cause amplification through the supply chain. Morever, the fact suggests the response-based supply chain strategy is suitable for creating the industrial competitive advantage around the world can be conclueded.
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