| Summary: | 碩士 === 國立高雄第一科技大學 === 運輸與倉儲營運系 === 90 === To provide customer with low cost of products and high service level, logistics plays an important role. As companies move into internationalization, logistics systems become much more complex and difficult to manage. Many international companies implemented global logistics systems, or manugisitics to restructure their logistics structure and product design module in order to get closer to market to provide responsive but low cost product and service. Before manugistics is implemented, companies have to consider strategic decision variables such as manufacturing strategy (make to stock, make to order, and assemble to order), batch quantity, product design postponement strategy, information sharing, etc. Logistics systems can be viewed as supply chain networks, with entities spreading out echelons of channels working autonomous and interdependent toward a common goal of providing end customers with high service level but low cost. Multi-agent approach, therefore, can be used for modeling entities of supply chain networks that are intelligent and adaptive. Learning capability of agents is considered in the model for further improvement on the ability of agents. Traditional knowledge base method, as well as neural network approach is considered complementarily.
The model built can evolve with time as more rules are implemented in the model to represent closer real world supply chain business operations. For international companies, the model can help them determine significant strategic decision variables before implementation.
|
|---|
