Multi-level and Multi-site Flexible Supply Network Planning Model for Memory Module Industry

碩士 === 東海大學 === 工業工程與經營資訊學系 === 98 === Under the global and multi-level, multi-site production environment, production planning is more complex and different than single-site. A memory module industry’s supply chain usually consists of multiple manufacturing sites and multiple distribution centers....

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Bibliographic Details
Main Authors: Wen-Kuan Wang, 王文冠
Other Authors: Li-Chih Wang
Format: Others
Language:en_US
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/63864056412604474968
Description
Summary:碩士 === 東海大學 === 工業工程與經營資訊學系 === 98 === Under the global and multi-level, multi-site production environment, production planning is more complex and different than single-site. A memory module industry’s supply chain usually consists of multiple manufacturing sites and multiple distribution centers. In order to fulfill the variety of demands from downstream customers, production planners need not only to decide the order allocation among multiple manufacturing sites and shipment among multiple DCs but also to consider memory module industrial characteristics and supply chain constraints, such as multiple material substitution relationships, raw material re-allocation among manufacturing sites, manufacturing sites’ direct shipment, capacity constraint, transportation lead time, and production lead time. While the previous researches treat supply network problem as a traditional multi-level supply network model, in which arcs should connect the two adjoining echelons in the network and there are no arcs striding over any abutting echelons, thereby the problem can be solved stage by stage. However, in practice the traditional multi-level supply network model sometime causes problems, such as difficulties in accurate inventory controlling, slow response, and lack of flexibility etc. To solve the flexible multi-level supply network problem, we develop an integer linear programming (ILP) to produce a flexible supply network planning (FSNP) model for memory module industry. The weekly optimal plans are attained by FSNP model for planner’s reference which include re-allocation, transportation, and production quantities.