以APQP為基於客戶選擇與多資源規劃上之 半導體代工廠生產管理系統發展

Development of an APQP based Production Management System with Customer Selection and Multi-Resource Planning in Semiconductor Manufacturing Service Company

侯廷俊(Ting-Chung Hou)

指導教授 ： 宮大川 ； 王孔政

中原大學/工學院/工業工程研究所/博士(2009年)

https://doi.org/10.6840/cycu200900225

摘要

摘要
在瞬息萬變的半導體封測代工產業, 面對同業間強烈競爭, 除了必須增加或獲得代工客戶品質認同與滿意度外,亦須增加獲利。客戶的選擇、資源分配與新增產能投資、 及整體規劃下，新產品或新製程技術從研發、試樣、工程驗證、量產前試產到大規模量產所需的材料、設備、治具、製造方法、技術選用或移轉、及其相關的供應商，皆要納入生產管理系統整體規劃，以構建出相對應之高效益整運作系統架構，以因應增加競爭力。
客戶的選擇、資源分配與新增產能投資，是找出利基提高收益的重要因素；而完善材料、設備、治具選擇與標準化之先期品質規劃，運用於量產時可提高效率，並降低製造成本。本研究以產品先期品質規劃系統（APQP）概念為中心，輔以基因演算法與知識管理，構建出基於客戶選擇與多資源規劃上之半導體代工廠生產管理系統(ABPMS), 以面對同業間強烈競爭。ABPMS 由客戶先期品質規劃系統(ICQP)、資源分配與新增產能先期品質規劃系統(IRQP)、材料先期品質規劃系統(IMQP)、設備與治具先期品質規劃系統(IETQP)、製造方法先期品質規劃系統(IPQP)、技術選用或移轉系統(ITQP)及供應商先期品質規劃系統(IVQP)所構建。
本論文先以客戶品質規劃系統((ICQP)與資源分配與新增產能品質規劃系統(IRQP)，選擇出可獲利或對策略性客戶進行產能與資源分配規劃。 其次導入先期品質規劃系統(APQP)與知識管理整合規劃之材料、設備、治具、製造方法、技術選用或移轉，而開發出之材料先期品質規劃系統(IMQP)，配合設備與治具先期品質規劃系統(IETQP), 再結合製造方法先期品質規劃系統(IPQP)，技術選用或移轉系統(ITQP)，及其相關的供應商先期品質規劃系統(IVQP)，形成一套完整的架構，以及配套的軟體工具以支援ABPMS。本論文亦舉一使用本研究提出之 ABPMS架構與軟體工具的半導體封測代工公司為例，配合研究架構，將其系統建制流程及其個別子系統績效與整體系統績效，仔細討論.
實際績效顯示，ABPMS架構運用於半導體封測代工產業，不僅可以策厲標準化、簡單化、系統化以達到有效率及效能的精實製造系統發展外，更可提高生產獲利。其他具有類似性質之製造產業應可導入引用。

關鍵字

先進品質管理 ； 基因演算法 ； 資源分配與選擇 ； 知識管理 ； 半導體代工

並列摘要

ABSTRACT

Future and current challenges posed many issues to semiconductor manufacturing service companies. Resource allocation and expansion, customer selection, quality planning process of product development, processes, materials, equipment, tools selections in the stage of R&D, sample parts qualification, engineering run, qualification run and pre-production run all require a system to have soft computing and organizational knowledge integrated together under the concept of simplification, systemization and source control to realize mass production efficiently, effectively and competitively. This dissertation proposes an advanced product quality planning (APQP) based production management system (ABPMS) framework to respond to such challenges. In this dissertation, firstly, intelligent customer selection quality planning is worked out based on weighted rules to select profitable customers and then intelligent resources allocation and expansion quality planning are applied to do resource allocation or strategic investment. Secondly, APQP is integrated with a knowledge management system to optimize products, processes, equipment, tools selection or development, even technical transfer in a systemization way to keep mass production profitable. The proposed ABPMS framework is applied well in a world leading IC assembly and test manufacturing service company in Taiwan. It is demonstrated that the proposed ABPMS framework brings the company with higher profit results.

並列關鍵字

Knowledge management ； Resource allocation and selection ； Genetic algorithm ； Semiconductor manufacturing service ； APQP

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