半導體供應網路決策品質促成技術研究(I)─子計畫四:半導體製造業之供應鍊網路管理與資源分配
Other Title
Network Configuration and Resource Allocation for Semiconductor Manufacturing
Date Issued
2001
Date
2001
Author(s)
DOI
892213E002118
Abstract
Supply Chain Network Management of the foundry wafer manufacturer considers the demands and supplies triggered by downstream IT related assembly plants or distributors, and upstream wafer material suppliers as well as the production process, transportation process, and the linkage among all these staketakers. A supply chain network of a wafer production involves four stages: Wafer Fabrication, Sorting, Assembly, and Testing. Usually more than one facility could be selected for each stage. Since many facilities could be chosen at each stage, the objective is to find the optimal plant combination that minimize the cost and under certain constraints such as the plant capacities, order quantities, and order due date. The problem could be seen as a plant location problem combined with product mix and due date factors. The usual way of solving this type of problem is the adoption of mix integer and linear programming method that often results in a large formulation and unsolvable situation. The first phase of this study is to review the related literature, collect data from the semiconductor fab, and construct a network configuration and resource allocation model that include all the related variables and parameters. The second phase of this study is to find an easy-to-implement algorithm that provides not only feasible but also near optimal solution to this type of problem. This study will approach the problem from a different angle and solve the problem by adopting graph theory and network flow algorithm. The ultimate goal of this study is to construct an enabler to implement and integrate this algorithm with other modules in a semiconductor SCM total solution in the second phase.
Subjects
Supply Chain Network
Resource Allocation
Semiconductor Manufacturing
SDGs
Publisher
臺北市:國立臺灣大學資訊管理學系暨研究所
Type
other
File(s)![Thumbnail Image]()
Loading...
Name
892213E002118.doc
Size
105 KB
Format
Microsoft Word
Checksum
(MD5):08509572527f2bdff385c400cc3b310c