Heung - Suk Hwang, Department of Business and Administration,
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  • 1. Heung - Suk Hwang, Department of Business and Administration , Kainan University, TAIWAN
      • Seminar on Management
    Department of Business and Administration
      • 管理專題研討
      • 94. 9. 23. Week #1
  • 2. Web-Lecture Homepage Address: http:// www.knu.edu.tw/ hshwang
  • 3.  
  • 4.  
  • 5.  
  • 6.  
  • 7.
            • Contents:
            • 1. Course Objectives
            • 2. Text Books and References
            • 3. Course Outline
            • 4. 管理槪念 , Basic Concept of
            • Management System
            • 5. Topic Next Week (Week#2)
    Department of Business and Administration
  • 8.
            • 1. Course Objectives
            • - Study on special topics on management theory ,
            • and its applications for both under graduate and
            • graduate students,
            • to understand practice problems of industries so
            • as to prepare getting jobs easily after their
            • graduation.
            • The main objective of this course is to understand
            • the theories on management area in the school and
            • also needed to apply to the industries after graduate.
            • - Several proposed topics will be discussed .
    Department of Business and Administration
  • 9. 2. Text Books and References 1) Decision analysis for management judgment (third edition), 2004, by Paul Goodwin & George Wright, John Wiley & Sons Ltd. Multi-criteria decision making, The Analytic Hierarchy Process (AHP), 1996, Thomas L. Saaty, British Lib. Cataloguing Publication. 2) Web-based Integrated Decision Support System - Lecture Note and papers - Papers and SW application Guide for Decision Analysis 3) Decision Analysis for Management Judgment by Paul Goodwin & George Wright 4) Multi-criteria Decision Making, The Analytic Hierarchy Process, AHP, by Thomas L. Saaty, 5) Decision Support Systems and Intelligent Systems (seventh edition), Efraim Turban, Jay E. Aronson, Ting Peng Liang. 6) SW Application References : - Three step decision analysis SW, - AHP Fuzzy-AHP SW , - Majority Rule Method and its SW, - Forecasting Programs , - GMDH (Group method data handling) SW , 4) Reference papers and Reports Department of Business and Administration
  • 10. 3. Course Outline Week 1: Introduction to course outline and major area of lecture for Decision Support System, Ref, Week 2: Project Management and SW ( Visual PERT/CPM ) Practice Week 3: e-logistics system and the new paradigm of logistics management research, Ref, Week 4: Introduction RFID for logistics management, Ubiquitous computing system and new management system Week 5: Multi-criteria decision analysis and its application in manufacturing facility system management, Ref, Week 6: AHP and fuzzy-AHP SW application, Week 7: A methodology for Multiple criteria rank ordered priorities, and its SW application, Ref, Week 8: Research topic presentation,
  • 11. Course Outline (continue) Week 9: Forecast methods and its SW application for practices, Conventional methods and GMDH method, Week 10 : Project risk analysis and uncertainty management model, Risk analysis SW application, VERT, Week 11: Web-based project management SW practice, Ref, Week 12: System RAM and LCCA (life cycle cost analysis) of production systems and it SW application, Ref Week 13: Resource allocation and/or negotiation problem, Ref, Week 14: Make-or-buy decision making method and its SW application, Ref, Week 15: Presentation of research topics, Ref, . Week 16: Presentation of research topics, Ref, Week 17: Review of key ideas, Week 18: Presentation of research topics, Ref,        Department of Business and Administration
  • 12. 4. 管理槪念 , Basic Concept of Management System Management Support Systems: An Overview
  • 13. 1) What is Management - Definition - 策略 , 規劃 Planning, Programming 控制 , 調整 Control, Adjust 評價 , 分析 Evaluation, Analysis 管理資訊系統 Management Information System 管理與 最適化技術 Management, Optimization Technology
  • 14. 技術立國 Development of Country by Technology 有效的系統開開發展和管理 Effective System Development and Management 研究與開發 Research/Development 技術導入與生産 Technology Import for Production 外國構買 Acquisition from Abroad 系統效果 System Effectiveness 附隨效果 Accompanying Effect 性能效果 Performance Effect 性能效果 Operational Effect 費用效果 Cost Effect
  • 15. 有效的 研 究與開發 Effective Research and Development 期望有效結果的研究與開發 Research and Development Expected Effective Results 可能的研究與開發 Possible Research and Development Wanted 被要求的研究與開發 Research and Development Wanted 可能性分析 Possibility Analysis 費用效果分析 Cost-Effectiveness Analysis
  • 16. Work Wanted Work possible Work Effective Possiblity Analysis Cost/Effective Anaklysis
  • 17. Learning Objectives
    • Understand how management uses computer technologies.
    • Learn basic concepts of decision-making.
    • Understands decision support systems.
    • Recognize different types of decision support systems used in the workplace.
    • Determine which type of decision support system is applicable in specific situations.
    • Learn what role the Web has played in the development of these systems.
  • 18. Harrah’s Makes a Great Bet Vignette
    • Data Warehouse
    • Data Mining
    • Business Intelligence
    • Transaction Processing System
    • Customer Relationship Management
    • Decision Support System
  • 19. Mintzberg’s 10 Management Roles
    • Interpersonal
      • Figurehead
      • Leader
      • Liaison
    • Informational
      • Monitor
      • Disseminator
      • Spokesperson
    • Decisional
      • Entrepreneur
      • Disturbance Handler
      • Resource Allocation
      • Negotiator
  • 20. Productivity
    • The ratio of outputs to inputs that measures the degree of success of an organization and its individual parts
  • 21. Factors Affecting Decision-Making
    • New technologies and better information distribution have resulted in more alternatives for management.
    • Complex operations have increased the costs of errors, causing a chain reaction throughout the organization.
    • Rapidly changing global economies and markets are producing greater uncertainty and requiring faster response in order to maintain competitive advantages.
    • Increasing governmental regulation coupled with political destabilization have caused great uncertainty.
  • 22. What do Decision Support Systems Offer?
    • Quick computations at a lower cost
    • Group collaboration and communication
    • Increased productivity
    • Ready access to information stored in multiple databases and data warehouse
    • Ability to analyze multiple alternatives and apply risk management
    • Enterprise resource management
    • Tools to obtain and maintain competitive advantage
  • 23. Cognitive Limits
    • The human mind has limited processing and storage capabilities.
    • Any single person is therefore limited in their decision making abilities.
    • Collaboration with others allows for a wider range of possible answers, but will often be faced with communications problems.
    • Computers improve the coordination of these activities.
    • This knowledge sharing is enhanced through the use of GSS, KMS, and EIS.
  • 24. Management Support Systems
    • The support of management tasks by the application of technologies
      • Sometimes called Decision Support Systems or Business Intelligence
  • 25. Management Support Systems Tools
    • DSS
    • Management Science
    • Business Analytics
    • Data Mining
    • Data Warehouse
    • Business Intelligence
    • OLAP
    • CASE tools
    • GSS
    • EIS
    • EIP
    • ERM
    • ERP
    • CRM
    • SCM
    • KMS
    • KMP
    • ES
    • ANN
    • Intelligent Agents
    • E-commerce DSS
  • 26. Decision Support Frameworks R&D planning, technology development, social responsibility plans Negotiations, recruitment, hardware purchasing Buying software, approving loans, help desk Unstructured (Unprogrammed) Mergers and acquisitions, new product planning, compensation, QA, HR policy planning Credit evaluation, budget preparation, project scheduling, rewards systems Production scheduling, inventory control Semistructured Investments, warehouse locations, distribution centers Budget analysis, short-term forecasting, personnel reports Accounts receivable, accounts payable, order entry Structured (Programmed) Strategic Planning Managerial Control Operational Control Type of Decision: Type of Control
  • 27. Technologies for Decision-Making Processes Unstructured (Un-programmed) Semi-structured Structured (Programmed) Type of Decision GSS, KMS, ES, Neural networks DSS, KMS, GSS, CRM, SCM MIS, Management Science Models, Transaction Processing Technology Support Needed
  • 28. Technology Support Based on Anthony’s Taxonomy GSS, CRM, EIS, ES, neural networks, KMS Management Science, DSS, ES, EIS, SCM, CRM, GSS, SCM MIS, Management Science Technology Support Needed Strategic Planning Managerial Control Operational Control Type of Control
  • 29.  
  • 30. Management Science/Operations Research
    • Adopts systematic approach
      • Define problem
      • Classify into standard category
      • Construct mathematical model
      • Evaluate alternative solutions
      • Select solution
  • 31. Enterprise Information Systems
    • Evolved from Executive Information Systems combined with Web technologies
    • EIPs view information across entire organizations
    • Provide rapid access to detailed information through drill-down.
    • Provide user-friendly interfaces through portals.
    • Identifies opportunities and threats
  • 32. Enterprise Information Systems
    • Specialized systems include ERM, ERP, CRM, and SCM
    • Provides timely and effective corporate level tracking and control.
    • Filter, compress, and track critical data and information.
  • 33. Knowledge Management Systems
    • Knowledge that is organized and stored in a repository for use by an organization
    • Can be used to solve similar or identical problems in the future
    • ROIs as high as a factor of 25 within one to two years
  • 34. Expert Systems
    • Technologies that apply reasoning methodologies in a specific domain
    • Attempts to mimic human experts’ problem solving
    • Examples include:
      • Artificial Intelligence Systems
      • Artificial Neural Networks (neural computing)
      • Genetic Algorithms
      • Fuzzy Logic
      • Intelligent Agents
  • 35. Hybrid Support Systems
    • Integration of different computer system tools to resolve problems
    • Tools perform different tasks, but support each other
    • Together, produce more sophisticated answers
    • Work together to produce smarter answers
  • 36. Emerging Technologies
    • Grid computing
    • Improved GUIs
    • Model-driven architectures with code reuse
    • M-based and L-based wireless computing
    • Intelligent agents
    • Genetic algorithms
    • Heuristics and new problem-solving techniques
  • 37. Concept of Decision Making ( 意思決定槪念 )
      • ☞ Decision Making, 意思決定 :
      • - Selection of an Alternative based on criteria
      • - Integrated Value Added Information System based
      • ☞ Alternative Generation, Analysis method
      • ☞ Most of Common Cases of Decision Making
      • - Intuitive decision making( 直觀的 意思決定 )
      • - Programmed decision making( 計劃的 意思決定 )
      • - Analytical decision mak i ng ( 分析 的 意思決定 )
      • Howard : defined decision is :
      • What they do when they do not know what to do !
      • 分析的 意思決定 理論 : 意思決定論 (Decision Theory)
      • 意思決定分析 : Application decision theory in practical
      • problem and find out optimal alternative
  • 38. Characteristics of Decision Making ( 意思決定槪念 )
      • ☞ Major Issues in Decision Problem, 意思決定 :
      • 1) 多數因子 (Multiple Factors)
      • 2) 多數意思決者 (Multiple Decision Maker)
      • 3) 多 基準 (Multiple Criteria)
      • 4) 不確實性 ( Uncertainty )
      • - Deterministic Model,
      • - Stochastic Model
      • Howard : defined decision is :
      • What they do when they do not know what to do !
      • 分析的 意思決定 理論 : 意思決定論 (Decision Theory)
      • 意思決定分析 : Application decision theory in practical
      • problem and find out optimal alternative
  • 39.
      • ☞ Major Planning of Business and Decision
      • under the Uncertainty, 不確實性 意思決定 :
      • 1) New Product Development and Marketing Strategy
      • 2) 石油探査 (petroleum Development)
      • 3) 政府的 各種開發計劃 (Government Development
      • Project)
      • 4) 基他 主要事業判斷 ( Major Project Evaluation )
    意思決定適用 對象 (Application Area)
  • 40.
      • By Simon :
      • 探索 (Intelligence) : What Problem
      • 設計 (Design) : What Alternatives
      • 選擇 (Choice) : What Alternative Select
      • 修行 (Implementation) : Is the Selected
      • Alternative is Effective One ?
      • 意思決過程
      • (Decision Making Process)
  • 41. 1) Introduction 2) Properties of Make-or-Buy Decision Problem 3) Three-step Approach of Decision Alternative Analysis, Project Risk Analysis Models 4) Model Application to School Food Service System 5 ) Summary and Conclusions 3- 斷 階意思決過 3-Step Decision Analysis System
  • 42. Web-based Integrated Decision Support System Department of Business and Administration Web-based Decision Support System Internet/Intranet Web-based Integrated Decision Support System Information System Group-Joint Work
  • 43. Step 1 : Individual Evaluation of Alternatives Step 2 : Integrate the Individual Analysis - Heuristic Model - Fuzzy Set Priority Method Step 3 : Risk Analysis Model - Stochastic Network Simulation Model - Fuzzy Set Priority Method - Web - based Internet/Intranet Solution Builder - GUI - type Program - Integrated decision support system Step 1 : Individual Evaluation of Alternatives 1) Brainstorming to Generate Alternatives and to Define the Performance Factors 2) Evaluation of Alternatives Using AHP and Fuzzy AHP methodologies Step 2 : Integrate the Individual Analysis - Heuristic Model - Fuzzy Set Priority Method Step 3 : Risk Analysis Model - Stochastic Network Simulation Model - Fuzzy Set Priority Method - Web - based Internet/Intranet Solution Builder - GUI - type Program - Integrated decision support system Figure 2 . Three-step Approach of Project Evaluation Model Department of Business and Administration
  • 44. Department of Business and Administration
    • 5. Topic–Next Week (Week #2)
      • “ New Paradigm of e-SCM & Logistics
      • Management in Taiwan”