A Study on Supply Chain Order Splitting and Routing Model
| Autor: | Yu-Chi Chen, 陳玉琪 |
|---|---|
| Rok vydání: | 2002 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 90 Along with the supply chain environment of customer demand-orientation today, a comprehensive supply chain (SC) management system becomes popular and important. To it, a well-constructed supply chain logistic network is a key issue. A localized SC system from the past is gradually growing into a global multi-echelon SC system of today. In today’s system, a complex distribution behavior is revealed among levels of suppliers, factories, distribution centers, and customers, so how to take advantage of the resources anywhere to fulfil customer demand and consume minimum total cost is a concerned key issue for enterprises. Nevertheless, setting up a centralized control system to integrated trade at different regions seems a good strategy. The headquarter then builds up an order management system, OMS, to cooperate regions at different places about their receiving orders or sales, and so that bring the whole supply chain interest into full play. In a multi-echelon supply chain model, partners are connected as a network structure. When demands occur, the corresponding logistic flows are formed based on the capacity restriction and due dates. Following capacity changes on nodes (i.e., partners), the logistic network flows update dynamically. The main purpose of this research is to develop a order splitting and routing model and solve this problem using mathematical method called mixed integer programming, especially, under a deterministic demand situation and with capability, capacity, and inventory restrictions among different supply chain networks. Without considering backlog condition, the original problem is solved in two stages, At the first stage, a single-echelon order splitting problem is considered between enterprise and 1st tier. At the second stage, we solve a multi-echelon order routing problem among the whole supply chain. By applying a backward planning method, the output at the first stage will become the input parameters at the second stage. Due to that quantity of raw materials and capacity may not fulfil all demand, the discussing problems are categorized as capacity sufficient and capacity insufficient. In the latter situation, dummy facilities are introduced to correspond to outsourcing or preserved inventory. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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