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研究生: 劉昕昶
Shin-Chang Liu
論文名稱: 在網際網路下建構模式驅動決策支援系統之服務架構
Construct a Service Framework for Model-driven Decision Support Systems on the Internet
指導教授: 簡禎富
Chen-Fu Chien
口試委員:
學位類別: 碩士
Master
系所名稱: 工學院 - 工業工程與工程管理學系
Department of Industrial Engineering and Engineering Management
論文出版年: 2005
畢業學年度: 93
語文別: 英文
論文頁數: 108
中文關鍵詞: 決策支援系統模式驅動決策支援系統服務仲介商商業模式研發服務業應用軟體服務供應商隨選服務
外文關鍵詞: Decision Support Systems, Model-driven Decision Support Systems, Service Broker, Business Model, Research and Development Services, Application Service Providers, On-Demand Service
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  • 本研究討論模式驅動之決策支援系統如何在網際網路下形成服務的模式。在資訊科技與網際網路的成熟發展之下,資訊科技已逐漸被視為維持競爭力必要的基本商品投入,而非競爭優勢的主體。因此資訊委外與隨選概念的興起、系統整合架構的推廣等,已變成學術界與供應商都熱絡討論的議題。決策支援系統如何在這樣的發展下,利用網際網路與資訊科技提升決策的品質、降低持有成本、與減少決策技術的進入障礙,是決策支援系統架構的重要發展方向。然而,對於不同類型的決策支援系統來說,決策支援的核心價值是否會因此失去或不再具優勢,是判斷是否合適導入的重要考量因素。對模式驅動之決策支援系統而言,由於核心價值存在於對問題建模的能力,模式只包含針對特定問題的結果,因此在網際網路中委外發展這樣的系統,只要在保護模式不被盜用之情況下,不僅可解決減少求解所需的時間和資源這個困難點,亦可增加模式的可重複使用性,即降低開發模式的平均成本。因此,本研究在決策支援網路服務下建立四個的角色:系統使用者、模式建構者、求解能力提供者、與仲介者,並定義各角色的流程活動,從服務執行與後勤支援兩方向建構模式驅動決策支援系統之服務架構,並由不同的角色觀點討論導入此架構的情況,並提出一個研發服務業的商業模式。最後透過一個處理封裝外包生產問題的實證決策支援系統,發展為模式驅動決策支援系統之服務架構,並以研發服務業之商業模式加以說明,呈現本架構可帶來的優勢與競爭力。


    Outsourcing is an on-going trend for information technology, and application service providers could hold sufficient computing and utility power in on demand sense. As a result, Decision Support Systems (DSS) are encouraged to form a marketplace which decision tools and techniques become services on the Internet. DSS as services on the Internet have been discussed in recent research, especially for model-driven DSS. However, little research has been done by separating DSS according to characteristics of participators and combining together with compatible IT over the Internet. This study proposes a service framework for model-driven DSS (SF-MDSS) on the Internet and defines four roles: DSS users, model architects, solving-power providers, and a broker. DSS users can manipulate decision techniques without understanding their details. Model architects are able to focus on modeling decision problems free of irrelevant information technologies and also to unhook the binding of operating solvers. Solving-power providers are application service providers for outsourcing algorithms and computing environment. Moreover, through the discussion of establishing SF-MDSS from roles’ perspective, a business model of research and development services is recognized. Finally, an empirical DSS is adapted to SF-MDSS, and the business model is elaborated to show that DSS users and model architects can be significantly benefited in MDSS-SF from other alternatives.

    Table of Content i List of Figures iii List of Tables v List of Acronyms vi Chapter 1 Introduction 1 1.1 Background, Significance, and Motivation 1 1.2 Research Aims 4 1.3 Overview of This Thesis 4 Chapter 2 Literature Review 6 2.1 Decision Problems and Support Systems 6 2.1.1 Decision problems 6 2.1.2 Decision Support Systems 8 2.1.3 DSS classification 10 2.2 History of DSS Architecture Evolution 13 2.2.1 Single and multi-tier architectures 14 2.2.2 Distributed architecture—RPI, messaging, and agents 15 2.2.3 Web-based DSS 18 2.2.4 DSS architecture comparison 19 2.3 Impacts of Modern Information Technology 23 2.3.1 Predicaments from IT 23 2.3.2 Outsourcing and on-demand 26 2.3.3 System architecture integration 27 2.3.4 Security 29 2.4 Integration Architectures for the Network Environment 30 2.4.1 Web services 30 2.4.2 Service oriented architecture 31 2.4.3 Web service architecture 33 2.4.4 Comparison of architectures and results 35 2.5 DSS as Services on the Internet 37 2.5.1 DSS classification on the Internet 40 2.5.2 Model-driven DSS on the Internet 44 2.5.3 Model constructing and formatting 47 Chapter 3 Conceptual Framework 50 3.1 Framework Characteristics 51 3.1.1 Definition of the framework 51 3.1.2 Roles’ definition 52 3.2 Model-driven Decision Support Systems Services Framework 54 3.2.1 The execution of DSS services 55 3.2.2 The logistic support of DSS services 59 3.3 Activity of Four Roles 63 3.3.1 DSS users 64 3.3.2 Model architects 65 3.3.3 Solving-power providers 68 3.3.4 A broker 69 3.3.5 Pre-defined procedures 71 3.4 Message Flow 74 3.4.1 Documents for messages 74 3.4.2 Message flow 75 3.5 Framework Establishment 78 Chapter 4 Framework Implementation 88 4.1 Empirical Decision Problem Background 88 4.2 Implementation of SF-MDSS on AYMRP 90 4.2.1 The model architect 91 4.2.2 The broker 91 4.2.3 The solving-power provider 93 4.2.4 The DSS user 93 4.2.5 The Implementation technologies 94 4.3 Results and Discussions 95 4.3.1 Results of revised AYMRP 95 4.3.2 Discussions 96 Chapter 5 Conclusion and Further Research 98 References 102 Appendix A The complete Model for AYMRP 109

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