In this article, a renewal theory approach is used to derive an expression for the expected cost per unit production time of adaptive sampling interval economic control chart. First, we derive the expected cycle time E(T) and expected cycle cost E(C). Then the expected cost per unit production time is E(V)=E(C)/E(T). The optimal design parameters can be determined by minimizing the expected cost per unit production time E(V). In this paper, minimizing the cost function, the optimal design parameters can be determined by using Fortran program and IMSL library. Furthermore, the sensitivity analysis illustrates the effects of cost and process input parameters on the optimal design parameters and the minimal expected cost per unit production time for the proposed control chart.

我國專業晶圓代工產業已是全球半導體產業鏈中不可或缺一環，此創新之商業模式不但帶動了全球半導體產業鏈的重整，更為我國半導體產業奠定了雄厚的基礎。但是無法快速回應晶圓缺陷問題與縮短工程師培訓時間，卻仍是台灣半導體產業發展近四十幾年來的瓶頸。此問題的延誤不傴使晶圓廠耗損巨額的成本，更承擔喪失國際客戶訂單的風險。因此，如何使半導體工程師提升工作效率，與如何有效培養新進工程師，如今已成為半導體業界刻不容緩之議題。 在知識經濟時代中，為企業打造適宜之知識管理模式是產、官、學界所致力的目標。但多數的研究以資訊科技所主導的知識管理系統為範疇，鮮少研究去探索知識工作者陎臨求解問題的困境中，是如何依循著問題情境，如何在其中摸索，進而發展出解決方案的詳細過程。有鑑於此，本研究選擇以詮釋型個案研究方法，深入訪察半導體工程師工作實務，藉此瞭解工程師於維修情境中排除晶圓缺陷的樣貌。 經由探討排除晶圓缺陷的工作實務中發現，工程師具備了四禑與「情境」調適性學習(adaptive learning)((Tyre and von Hippel,1997)的歷程：第一、工程師必頇在問題情境中，辨認隱藏於情境當中之線索，並賦與線索意義而展開偵察行動。第二、工程師在偵察過程中，頇不斷地依情境調整收集資料技巧，挖掘出更多或更深層的資訊。第三、工程師適當的工具與資源，有效率地萃取更多的資訊。第四、工程師彼此之間依情境發展出最適行為模式，得以順利整合跨部門執行偵察行動。 本研究著重於解析工程師在問題情境中，不斷學習與調適之詳細過程，並指出調適性學習如何在排除晶圓異常工作中扮演重要的角色。最後，針對調適性學習行為提出具體的理論與實務意涵，以供組織未來進行人員培訓與知識管理之參考。

近年來,許多調適性管制圖都只探討單一製程,然而現今存在許多相依製程的問題.因此本論文提出兩相依製程之調適性管制圖,並以ATS測量管制圖的績效.本論文所提出的變動抽樣間隔時間之調適性管制圖對於偵測製程中幅度及小幅度的偏移有良好的績效.此外,本論文所提出的變動抽樣樣本大小及變動抽樣間隔時間之調適性管制圖對於偵測製程極小幅度的偏移有良好的績效. / In recent years, many research papers about adaptive control charts all consider a single process step. However, there are many multiple process steps in industry process. In this article, we propose adaptive control charts to monitor two dependent process steps, and their average time to signal (ATS) is calculated by Markov chain approach to measure the performance of these proposed control charts. It has been shown that the performance of the adaptive sampling interval (ASI) control charts in detecting small and moderate shifts in process means is better than the fixed sampling interval control charts, especially for small shifts, and the proposed adaptive sample size and sampling interval (ASSI) control charts have better performance in detecting very small shifts in process means than the fixed sample size and sampling interval control charts and the adaptive sample size control charts.

創新於本世紀中為各大企業爭相研發或追求的珍貴資產，但此珍貴資產之所以致能領先市場、使企業居於永續的市場領導地位則是各個產業所致力研究的範疇。如何能達到永續的市場領導而居於市場不敗之優勢 ? 是須要透過具有符合市場劇變的創新?而其創新又須要具有如何的特性或是與時代性相關的演化性 ? 另，市場劇變的因素是否又與使用者以及代表新科技的載體有著密不可分的關係 ? 本研究將以一個現今仍居領導地位的網站實例來分析其致勝的原因，並且以質性研究的方法進行層層的頗析，揭開網路服務的神秘面紗。 網路服務的世界，豐富且多樣化，因此本研究將創新的研究範圍聚焦於新聞自製性內容的｢話題新聞」為主軸，透過｢話題新聞」的守門人:話題製作人，並且對應於創新三大構面：內容、載體與商業模式，進而探討其不斷創新是須要具有調適性的特質。而若以創新理論的精神為內涵，又同時須結合網路之｢使用者為大」的雙重考量下，研究則以Henry教授的開放式創新與von Hipple教授的使用者創新，並為核心理論的依據。至此，本篇研究的架構清晰易見。 經由親身參與的田野調查與近期的資料蒐集，本研究將透過網路服務的特性與使用者溝通的互動方式，整理後發現其特殊的共創過程與調適性的特質。研究中更將揭露自製性內容的共創對於載體的影響，並且對應於資訊傳播模式的演化，爾後延伸至商業模式的多所變化。最終，希望透過本研究能提供台灣傳統新聞媒體及企業界創新的具體參考，不僅在理論面向得以印證及延伸，更於實務面提供操作的執行方向。 關鍵字：使用者創新，開放式創新：內容、載體與商業模式，調適性，新聞製 作，資訊傳播，經濟活動，話題新聞，製作人，行動研究，質性研 究。 / Innovation is the precious asset in this century for all the companies to seek, study or develop as it is the way to win or sustain the leading position where the enterprises are eager to reach. However, how to continue the innovation so as to retain the leadership? Or which attributes or evolutions the innovation should have to react to the market change? How the factors of market transformation correlate with the users and high-tech (electronics) devices? This study will use a global leading website as a sample and explore the elements of its success through the qualitative research method. The internet contains the diversified services. Thus the research selects the news reproduction as the main study subject. By observing the daily operation of the “Topic News” gatekeepers, Topic News producers, and analyzing three dimensions of innovation: contents, devices and business models, the study figures out the fact that the constant innovation should possess the characteristic of Adaptability. Furthermore, considering both the essence of Innovation theories and the internet user behavior, the study cites Open Innovation by Prof. Henry and User Innovation by Prof. von Hipple as the core theories to support the whole research. By participating in the field investigation and collecting the recent data, the study discovers the particular procedure of co-producing contents as well as the characteristic of Adaptability through researching on the internet service and its communication and interaction with the users. The study further reveals the impact which the reproduced content makes on the devices themselves, evolution of the information dissemination and even the types of the business models. The ultimate objective of the study is not only to prove the truth of the theories but also to contribute several suggestions and references towards the traditional news media and the enterprise innovation on the execution and operation directions. Key words : User Innovation, Open Innovation, Content, Devices and Business model, Adaptive, News re-production, Dissemination of information, Economic Activity, Topic News, Topic News Producer, Action Research, Qualitative Research.

近年來，許多企業希望透過不同領域的專家彼此合作，為組織解決日益複雜的難題。然而，跨專業團隊的合作過程充滿挑戰，過去文獻多專注於如何提升知識分享的效果，卻忽略了許多關鍵新知識必須由跨界團隊合作探索而來。在面對陌生情境下，這樣的探索尤其重要，例如：開發新產品、啟用新製程，但我們至今仍對跨專業社群如何合作探索的過程所知甚少。 為了探究這個議題，本研究採用民族誌的方式，追蹤半導體晶圓廠工程師如何在複雜的生產系統中解決跨專業的維修難題。過程中，工作者常常必須面臨因果錯綜複雜、責任歸屬不清、跨界溝通不良所導致的合作困境。研究發現要解決這樣的困境，工作者必須運用疆界物件引發三種工作實務：解讀現象背後的因果、改變合作關係、整合跨界知識，才能找出問題核心並對症下藥。 根據本研究發現，如果我們能了解工作者在特定情境中的學習過程，便可提升既有的知識管理與疆界物件理論。在實務議題上，本研究的發現也能幫助現有員工培訓與跨專業溝通方式。 / Recently, more and more companies are gathering different types of specialist in order to solve increasingly complex problems. But the efforts paid in the process of cooperation are challenging for enterprises. Previous researchers had focused on the transfer and share of cross-disciplinary knowledge. However, they neglected the fact that some critical knowledge must be learned by collaborative exploring in terms of particular situation. To understand this issue, an ethnography study was used to examine the process of trouble shooting undertaken by engineers who encountered complex problems in the fabrication of semiconductor wafers. This thesis addressed three primary challenges faced by engineers. First, the nature of the problem may not be defined appropriately at the beginning. Second, responsibility may not be clearly attributed by cross specialist team who is in charge of investigation. Third, without comprehensive contexts of the practice, communication between engineers is problematic itself. To overcome the problem, engineers must be able to go beyond standard operating procedures so that they can find a new path of solution. This thesis argues that the use of boundary objects is an effective trigger of problem solving. The use of a boundary object is then described as a means of decoding the contexts behind the objects, reforming the relationship of cooperation, and integrating knowledge systemically. These findings suggest that theories of knowledge management and boundary objects could be improved organically by considering what people do and how people learn in practice. Furthermore, these findings bring us practical implications of employee training and cross-disciplinary collaboration.

本研究的主要目的是希望喚起國內、外學者對演化科學在經濟學上的重視，結合電腦、生物科技、心理學與數學於經濟學中，希望對傳統經濟學上因簡化假設而無法克服的實際經濟問題，可以利用電腦模擬技術獲得解決，並獲取新知與技能。 本研究共有六章，第一章為緒論，敘述緣由與研究動機。第二章介紹傳統經濟學的缺失，再以資料掘取知識及智慧系統建構金融市場。第三章則介紹各種不同人工智慧的方法以模擬金融市場的投資策略。第四章建立無結構性變遷時間序列模型--交易策略電腦模擬分析，僅以遺傳演算法模擬金融市場的投資策略，分別由投資組合、交易成本、調適性、演化、與統計的觀點對策略作績效評分析。第五章則建立簡單的結構性變遷模型，分別由調適性與統計的觀點，採取遺傳演算法再對投資策略進行有效性評估分析。第六章則利用資料掘取知識與智慧系統結合計量經濟學的方法，建構遺傳演算法發展投資策略的步驟，以台灣股票市場的資料進行實証研究，分別就投資策略、交易成本、調適性與演化的觀點作分析。最後一章則為結論。 未來研究的方向有： 1. 其他各種不同人工智慧的方法的比較分析，如人工神經網路、遺傳規劃法等進行績效的交叉比較分析。 2. 利用分類系統(Classifier System)與模糊邏輯的方法，改善標準遺傳演算法對策略編碼的效率，並建構各種不同的複雜策略以符合真實世界的決策過程。 3. 建構其他人工時間資料的模擬比較分析，例如ARCH (Autoregressive Conditional Heteroskedasticity)模型、Threshold 模型、 確定性(Deterministic) 模型等其他時間序列模型與更複雜的結構性變遷模型。 4. 進一步研究遺傳演算法所使用的完整資訊(例如，各種不同指標的選取)。 5. 本研究係採用非即時分析系統(Offline System)，進一步研究即時分析系統 (Online Sysetem)在實務上是有必要的。 / Historically, the study of economics has been advanced by a combination of empirical observation and theoretic development. The analysis of mathematical equilibrium in theoretical economic models has been the predominant mode of progress in recent decades. Such models provide powerful insights into economic processes, but usually make restrictive assumptions and appear to be over simplifications of complex economic system. However, the advent of cheap computing power and new intelligent technologies makes it possible to delve further into some of the complexities inherent in the real economy. It is now feasible to create a rudimentary form of “artificial economic life”. First, we build the framework of artificial stock markets by using data mining and intelligent system. Second, in order to analyze competition among buyers and sellers in the artificial market, we introduce various methods of artificial intelligence to design trading rules, and investigate how machine-learning techniques might be applied to search the optimal investment strategy. Third, we create a miniature economic laboratory to build the artificial stock market by genetic algorithms to analyze investment strategies, by using real and artificial data, which consider both structural change and nonstructural change cases. Finally, we use statistical analysis to examine the performance of the portfolio strategies generated by genetic algorithms.