導入SFIS的智慧手持設備生產流程方法論初探

CCUR > College of Business > Department of Information Management & Graduate Institute of Information Management > Thesis > Item 987654321/25337

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Title:	導入SFIS的智慧手持設備生產流程方法論初探 Toward an Methodology on Smart Connected Device Manufacturing Processes Based on SFIS
Authors:	吳洋禎 Dylan
Contributors:	資訊管理學系碩士在職專班
Keywords:	生產良率關鍵要素方法論智慧手持設備 Yield rate Critical factors Methodology Smart (connected) devices
Date:	2013-06
Issue Date:	2013-09-30 10:45:28 (UTC+8)
Abstract:	相較於過去硬體製造，智慧型手持設備深受複雜的產業生態系競合影響，存在軟硬體、材料、方法等差異，讓生產更為複雜，間接影響生產活動；因此，對業者而言，如何在產品生命週期縮短的挑戰前提下，提升生產良率與效率，便成為關鍵課題。為協助台灣業者能在智慧手持設備的生產上，透過良率提升強化競爭力，本研究整合過去相關研究所得，輔以智慧手持設備的生產特性，利用「階段-活動(Stage-Activity, S-A)」的方式，提出導入生產現場監控系統(SFIS)資料的智慧手持設備生產流程方法論；接著，本研究針對台灣生產智慧型手機居領導地位之廠商的特定生產線，透過行動研究方式，進行驗證與修正。本研究最後提出一個涵蓋四階段、23項活動的智慧手持設備生產流程方法論，並強調如何在不需大幅影響現有生產流程結構下，於研發階段善用舊產線資料進行問題解構的可行作法，期藉此為業者提出在智慧手持設備(甚或在廣義的智慧終端)生態值得採用之具體預防性措施與生產流程。 The complex co-petition relationship within the ecosystem, together with high cross-reactions among software, components and materials, has made manufacturing of smart (connected) devices more complicated, when comparing with that of traditional consumer electronics manufacturing. From the very nature, the above characteristics not only serious affect the manufacturing process and activities, but also result in negative impacts on yield rate. What is worse, the product life cycle of smart devices is becoming shorter and shorter, which makes the balance between time-to-market and yield rate improvement a more important but challenging issue. To help smart device manufacturers to strengthen their competition capability, this thesis aims to resolve the above challenge by proposing a methodology for smart device manufacturing processes, with its focus on yield rate improvement. The methodology is formed by the stage-activity (S-A) approach, based on synthesizing current practices and features of smart device production. To ensure the applicability, a proactive but evolutional principle (i.e., minimizing the impact on current processes) is applied for design; as well, utilization of data from shop flow information systems (SFIS) is especially considered. Finally, the study examines the feasibility through action research on a real project of a new smart phone model manufacturing in a leading Taiwanese firm. Based on the above work, this thesis finally proposes a feasible methodology for smart device manufacturing processes based on SFIS, which covers four stages and 23 corresponding activities. We wish the proposed methodology and corresponding implications can truly contribute to smart device manufacturers in practice.
Appears in Collections:	[Department of Information Management & Graduate Institute of Information Management] Thesis

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