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http://140.128.103.80:8080/handle/310901/499
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Title: | 記憶體模組產業之多階多廠彈性供應網絡生產規劃模式 |
Other Titles: | Multi-level and Multi-site Flexible Supply Network Planning Model for Memory Module Industry |
Authors: | 王文冠 Wang, Wen-Kuan |
Contributors: | 鄭辰仰;王立志 Cheng, Chen-Yang;Wang, Li-Chih 東海大學工業工程與經營資訊學系 |
Keywords: | 彈性供應網絡生產規劃、訂單滿足、記憶體模組產業、整數線性規劃 flexible supply network planning, order allocation, memory module industry, integer linear programming |
Date: | 2010 |
Issue Date: | 2011-01-04T08:29:48Z (UTC)
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Abstract: | 在全球以及多階多廠區的生產環境之下,生產規劃比單廠區更加複雜與困難,記憶體模組產業之供應網絡通常包含多個製造廠與多個配銷中心,為了滿足下游顧客的多種類需求訂單,規劃人員不只需要決定製造廠的訂單分配或決定由哪一個配銷中心出貨,亦需考量記憶體模組產業的相關特性與供應網絡的限制,例如: 物料替代關係、原物料調撥、製造廠直接出貨給顧客、產能限制、運輸與生產前置時間。但過去的文獻中,甚少針對記憶體模組產業之多廠區生產規劃進行探討,且未同時考量該產業之所有生產特性,因此,本研究使用整數線性規劃模式發展一個以成本極小化為目標的記憶體模組產業之彈性供應網絡生產規劃模式,以期產生每週之生產計劃與運輸計畫,供規劃人員進行生產規劃時之參考依據。最後,經由實驗得知本模式所適用的產業環境範圍,並進行參數分析,最後以企業實際資料作為案例驗證的實證。 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. |
Appears in Collections: | [工業工程與經營資訊學系所] 碩博士論文
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