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研究生： 戴敬彧
Ching-Yu Tai
論文名稱： 應用認知工程配置延展式供應鍊
A Cognitive Engineering Approach to Configuring the Extended Supply Chain- An Implementation in the CPU/Mainboard Industry
指導教授： 高信培
Hsing-Pei Kao
口試委員:
學位類別： 碩士
Master
系所名稱： 管理學院 - 工業管理研究所
Graduate Institute of Industrial Management
畢業學年度： 92
語文別： 英文
論文頁數： 100
中文關鍵詞： 供應鍊配置 、系統動態學 、延展式供應鍊 、認知工作分析
外文關鍵詞： Extended Supply Chain, CWA, Abstraction Hierarchy, Decision Ladder, System Dynamic, Multilevel Flow Model, Supply Chain Configuration
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    • 延展式供應鍊成員間的「資訊分享」是一項重要的課題，當吾人談論至此時，每一位成員需使用相同的「語言」。而在此之前，其必須先對於整個系統有著相同方式的認知。我們將會採用Cognitive Work Analysis（CWA）之前兩個階段-- Work Domain Analysis與Control Task Analysis—以達到此一目標。之後，我們將著重在「供應鍊配置」此一主要問題上。
    我們視延展式供應鍊為單一系統，並嘗試發展一方法論，能夠確保這樣的系統運作是可預期的且穩定的，然而當系統越趨複雜，越難以認知、了解隱藏於系統的知識與資訊處理的過程，所以我們應用了CWA中的Abstraction Hierarchy (AH) 與Decision Ladder (DL)以挖掘其中的知識與與資訊處理過程，當延展式供應鍊之組成改變時，應用系統動態學探討整個延展式供應鍊之長期因果關係，MFM用於系統之短期監控。藉由組合此四項方法，我們嘗試發展一項包含三層檢驗門檻之方法，其可用於檢驗當外在環境改變時（例如，供應商之選擇、顧客偏好、產品選擇），整個供應鍊是否為可運作；是否可預期；以及其是否為穩定的。

    “Information sharing” between the members of Extended Supply Chain is an important issue. When we talk about it, each member must use the same “language”. Before that, they should cognize the whole system with the same way first. We will apply the first two phases of the CWA (Cognitive Work Analysis) -- Work Domain Analysis and Control Task Analysis -- to achieve this objective. Then, we will focus the main issue on "supply chain configuration".
    We look the extended supply chain as a system, and try to develop a methodology, which make this system to be anticipated and stable. It’s difficult to understand and recognize the states of knowledge and the information processes of a system when the system is getting to complexity. Because of this reason, we use the methodologies, AH & DL, which extensively implemented in computer-based work in complex socio-technical system to grub the knowledge and the information processes in the system. Apply system dynamics (SD) to investigate the long-term causality of the ESC when the constitution of ESC changes. The MFM is used for short-term monitoring. By combining the four methods, we try to develop an approach which could provide the three levels of threshold to examine that if the supply chain is workable, anticipated, and stable when the environment of the supply chain changes (e.g., vendor choice, customer preferences, product choice).

    TABLE OF CONTENT TABLE OF CONTENT I List of Figures III List of Tables V Chapter I Introduction 1 1.1 Motivation 1 1.2 Background Overview 1 1.3 Research Objectives 3 1.4 Thesis Structure 3 Chapter II Literature Review 5 2.1 Extended Supply Chain 5 2.2 Information Sharing 7 2.2.1 Three Information Sharing Levels 7 2.2.2 Models of Information Sharing 9 2.2.3 Benefit of Information Sharing 10 2.3 Cognitive Work Analysis and Long-term Causality 10 2.3.1 Work Domain Analysis 11 2.3.2 Control Task Analysis 12 2.3.3 The Long-term Causality 13 2.4 Supply Chain Operations Reference-Model 16 2.4.1 Introduction of Supply-Chain Operations Reference-model (SCOR) 16 2.4.2 Scope 16 2.4.3 SCOR-model Structure 18 2.5 Supply Chain Configuration 21 2.5.1 The Overview of Supply Chain Configuration 21 2.5.2 Approaches of Supply configuration 23 2.5.2.1 Case Study 24 2.5.2.2 Models of Supply Chain Configuration 25 Chapter III Modeling Framework 27 3.1 Abstract Hierarchy and Decision Ladder 27 3.1.1 Introduction of Abstract Hierarchy and Decision Ladder 27 3.1.1.1Abstraction Hierarchy (AH) 27 3.1.1.2 Decision Ladder (DL) 29 3.1.2 Apply AH and DL in Supply Chain 32 3.1.2.1 Environment Description 32 3.1.2.2 Abstraction Hierarchy Applied in Supply Chain 33 3.1.2.3 Control Task Analysis by Decision Ladder 36 3.2 System Dynamics 43 3.2.1 Introduction of the System Dynamics 43 3.2.1.1Meanings of the SD Symbols 43 3.2.1.2 Advantages of SD 46 3.2.2 Main Implement Fields of SD 47 3.2.3 SD in Supply Chain based on AH & DL 48 3.3 Multilevel Flow Model (MFM) 49 3.3.1 Introduction of the Multilevel Flow Model 49 3.3.1.1 Meanings of the MFM Symbols 50 3.3.1.2 Relations: 52 3.3.1.3 Advantages of MFM Algorithms 53 3.3.2 Main Implement Fields of MFM 54 3.3.2.1 Example Description 54 3.3.2.2 MFM Model Construction 55 3.3.3 Apply MFM in Supply Chain 56 3.4 Implication for Supply Chain Configuration 58 3.4.1 Relationship between the Methodologies 58 Chapter IV Implementation of the Methodology 60 4.1 Case Description 60 4.1.1 Overview 60 4.1.2 Scenario 62 4.2 Conduct the CWA for the M network 63 4.2.1 Work Domain Analysis of the M network 63 4.2.2 Control Task Analysis of the M network 69 4.3 Construct the System Dynamic Model of the M network 78 4.4 Daily Monitoring the M network by Applying the MFM Model 80 Chapter V Conclusion and Recommendation 83 5.1 Conclusion 83 5.2 Recommendation 84 Reference 85

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