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研究生：	鄭人杰 Cheng, Jeng-Chieh
論文名稱：	以可變空間理論規劃智慧型手機之最適化產能 A Design of the Aspired Smartphone Production Capacity Based on the Changeable Space Theory
指導教授：	黃啟祐 Huang, Chi-Yo
學位類別：	碩士 Master
系所名稱：	工業教育學系 Department of Industrial Education
論文出版年：	2016
畢業學年度：	104
語文別：	英文
論文頁數：	85
中文關鍵詞：	智慧型手機、產能規劃、De Novo規劃法、可變空間
英文關鍵詞：	Operations Research
DOI URL：	https://doi.org/10.6345/NTNU202204472
論文種類：	學術論文
相關次數：	點閱：141 下載：0
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全球智慧型手機市場自2008年開始快速成長，2014年全球智慧型手機出貨量約達12.7億台，年成長率達25.5%。隨著智慧型手機平均單價持續下探，新興市場開始中低階智慧型手機需求，預估2018年全球智慧型手機年出貨量有機會達到18億台，累計裝置數量全球將達38億台。觀察2013年的出貨成長率由50.7%下滑到2014年的25.2%，預估2016年全球智慧型手機出貨量全球成長率將下滑到9.3%，從數據顯示智慧型手機市場成長趨緩已漸趨近飽和。平均售價日益低落，產品生命週期漸短，且關鍵零組件之技術參數已趨如莫爾定律等之物理極限，產品差異化之難度漸增，再加上新興國家貨幣匯率波動劇烈及貿易屏障、平均工資高漲等問題，智慧型手機製造廠之產能極需最適化，以確保投資最小，產能最適。現今智慧型手機產能最適化之重要性日增，過去的研究主要都是在現有的資源底下進行產能最適化，但少有文獻或業界專家探討相關議題，而本篇論文要提破現有的框架，考量內外部的資源讓自己的產能及獲利最大化突破傳統數學規劃法柏拉圖前緣之限制，計算出手機產能最適化以位於台灣之全球主要智慧型手機業者為實證標的，驗證研究方法之可行性，研究結果與分析架構作為智慧型手機業者產能規劃之變數，求取最適之產能，以達成獲利與產能最佳方法之用。

The global smartphone market lifecycle has gradually entered the saturation stage. Besides, as the average sales price of smart phones increasingly drop continuously, the product life cycle get shorter, and the parameters of smartphone key components hit the physical limitations, differentiations of the smart phones becoming daily difficult. Most middle to low end smart phones have become commodities. How the capacity can further be optimized by leveraging outsourcing capacities so as to break the traditional Pareto frontier and achieve the meta-optimum are the aspired goal being pursued by the smart phone vendors. Albeit the topic is very important, very few or no past works focused on this issue The Changeable Space Technique based on the De Novo Programming approach. The proposed analytic technique can break the traditional Pareto frontier. An empirical study case based on one of the world‘s leading smartphone manufacturer being located in Taiwan as used to demonstrate the feasibility of the proposed analytic framework, the well-verified analytic framework can be used to optimize the capacity of smartphone factories.

摘要 .............................................................................................................................. i
Abstract ....................................................................................................................... ii
Table of Content ......................................................................................................... iii
Chapter 1 Introduction ................................................................................................ 1
1.1 Research Background ...................................................................................... 1
1.2 Research Motivations ...................................................................................... 3
1.3 Research Purpose and Limitations .................................................................. 4
1.4 Research Method and Framework .................................................................. 6
Chapter 2 Literature Review ....................................................................................... 9
2.1 Capacity Planning ........................................................................................... 9
2.2 Capacity Size Decision ................................................................................. 15
2.3 Reconfigurable Process Plans For Changeable Manufacturing Systems ..... 17
2.4 Changeable Space Programming and Decision Making ............................... 19
Chapter 3 Research Method ...................................................................................... 23
3.1 Multi-Objective Decision Making ................................................................ 23
3.2 Optimal System Design and De Novo Programming ................................... 29
3.3 Formulation of Final Testing Capacity Planning Optimization .................... 30
3.4 Changeable Space Programming Formulation ............................................. 32
Chapter 4 An Empirical Case.................................................................................... 41
4.1 Industry Background ..................................................................................... 43
4.2. The Smart Phone Manufacturing Process .................................................... 46
4.3 Problem Formulation .................................................................................... 48
4.4 MOP with Changeable Parameters ............................................................... 58
Chapter 5 Discussion ................................................................................................ 67
5.1 Discussion ..................................................................................................... 67
5.2 Managerial Implications................................................................................ 71
5.3 Difference between De Novo Programming and Changeable Space ........... 75
Chapter 6 Conclusion ................................................................................................ 79
Reference................................................................................................................... 81
Table 3-1 A payoff table of STEM .................................................................... 26
Table 4-1 The STEM payoff table of f1 .......................................................... 53
Table 4-2 The STEM payoff table of f2 .......................................................... 54
Figure 1-1 An embodiment of the automated production system for mobile phone. .................................................................................................. 2
Figure 1-2 Research Framework ......................................................................... 4
Figure 1-3 Research Framework ......................................................................... 7
Figure 1-4 Research Process Thesis Structure .................................................... 7
Figure 2-1 Steps to define change objects. ....................................................... 12
Figure 3-1 A taxonomy of methods for the MODM ......................................... 25
Figure 3-2 The feasible options using (a) linear programming and (b) De Novo programming. .................................................................................. 30
Figure 3-3 Trade-offs elimination from a given system ................................... 35
Figure 3-4 Aspiration level based on the best improvement rules among inter-relationship .............................................................................. 38
Figure 3-5 Concept of changeable decision space and aspiration level achievement. .................................................................................... 39
Figure 4-1 Smartphone Production Flow. ....................................................... 43
Figure 4-2 Smartphone Production Flow .......................................................... 46
Figure 4-3 Basic concepts of the desired point ................................................. 58
Figure 5-1 Capacity and sales ideal point. ........................................................ 69
Figure 5-2 Changeable spaces for achieving the desired point. ....................... 70
Figure 5-3 The relationship between the models. ............................................. 75
                                

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