Heung - Suk Hwang, Department of Business and Administration,

1. Heung - SukHwang, Department of Business and Administration , Kainan University, TAIWAN

Seminar on Management

Department of Business and Administration

94.9.23.Week #1

2. Web-Lecture HomepageAddress: http:// www.knu.edu.tw/ hshwang 3. 4. 5. 6. 7.

Contents:

1.Course Objectives

2. Text Books and References

3. Course Outline

4. ,Basic Concept of

Management System

5. Topic Next Week (Week#2)

Department of Business and Administration 8.

1. Course Objectives

- Study onspecial 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 isto understand

thetheories on management areain 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 HierarchyProcess, 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 ReportsDepartment of Business and Administration 10. 3.Course OutlineWeek 1: Introduction tocourse outlineand major area oflecture for Decision Support System,Ref,Week 2: Project Managementand SW ( Visual PERT/CPM )Practice Week 3: e-logistics systemand the new paradigm of logistics management research, Ref, Week 4: IntroductionRFIDfor logistics management,Ubiquitous computing systemand new management system Week 5: Multi-criteria decision analysisand its application in manufacturing facility system management, Ref, Week 6: AHP and fuzzy-AHP SWapplication,Week 7: A methodology forMultiple criteria rankordered priorities, and its SW application, Ref, Week 8:Research topic presentation, 11. Course Outline(continue) Week 9: Forecast methodsand its SW application for practices, Conventional methods and GMDHmethod, Week 10 : Projectrisk analysis and uncertainty managementmodel,Risk analysis SWapplication, VERT, Week 11: Web-basedproject managementSW practice, Ref, Week 12: SystemRAMandLCCA(life cycle cost analysis) of production systems and it SW application, Ref Week 13: Resource allocation and/ornegotiation problem, Ref, Week 14: Make-or-buy decision makingmethod 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. , Basic Concept of Management System Management Support Systems: An Overview 13. 1) What is Management- Definition - , Planning, Programming , Control, Adjust , Evaluation, Analysis Management Information System Management, Optimization Technology 14. Development of Country by Technology Effective System Development and Management Research/Development Technology Import for Production Acquisition from Abroad System Effectiveness Accompanying Effect Performance Effect Operational Effect Cost Effect 15. Effective Research and Development Research and Development Expected Effective Results Possible Research and Development Wanted Research and Development Wanted Possibility Analysis Cost-Effectiveness Analysis 16. Work Wanted Work possible Work Effective Possiblity Analysis Cost/EffectiveAnaklysis 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. Harrahs Makes a Great Bet Vignette

Data Warehouse

Data Mining

Business Intelligence

Transaction Processing System

Customer Relationship Management

Decision Support System

19. Mintzbergs 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 communicationsproblems.

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

Management Science

Business Analytics

Data Mining

Data Warehouse

Business Intelligence

CASE tools

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 Anthonys 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 ( )

Decision Making,:

-Selection of an Alternative based on criteria

-Integrated Value Added Information Systembased

Alternative Generation, Analysis method

Most of Common Cases of Decision Making

- Intuitive decision making( )

- Programmeddecision making( )

- Analytical decision mak i ng ( )

Howard : defined decision is :

What they do when they do not know what to do !

: (Decision Theory)

: Applicationdecision theory in practical

problem and find out optimal alternative

38. Characteristicsof Decision Making ( )

Major Issues in Decision Problem,:

1)(Multiple Factors)

2) (Multiple Decision Maker)

3) (Multiple Criteria)

4) ( Uncertainty )

-Deterministic Model,

-Stochastic Model

Howard : defined decision is :

What they do when they do not know what to do !

: (Decision Theory)

: Applicationdecision theory in practical

problem and find out optimal alternative

Major Planning of Business and Decision

under the Uncertainty, :

1) New Product Development and Marketing Strategy

2) (petroleum Development)

3) (Government Development

Project)

4) ( Major Project Evaluation )

(Application Area) 40.

By Simon :

(Intelligence) : What Problem

(Design) :What Alternatives

(Choice) :What Alternative Select

(Implementation) : Is the Selected

Alternative is Effective One ?

(Decision Making Process)

41. 1)Introduction 2)Properties of Make-or-Buy DecisionProblem 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- 3-Step Decision Analysis System 42. Web-based Integrated Decision Support System Department of Business and Administration Web-basedDecision Support System Internet/Intranet Web-based IntegratedDecision 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 - basedInternet/IntranetSolution Builder - GUI - typeProgram - Integrateddecisionsupport system Step 1 :Individual Evaluation of Alternatives 1)Brainstorming to Generate Alternatives and to Define thePerformance Factors2)Evaluation of Alternatives Using AHP andFuzzy 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 - basedInternet/IntranetSolution Builder - GUI - typeProgram - Integrateddecisionsupport system Figure 2. Three-step Approach of Project Evaluation Model Department of Business and Administration 44. Department of Business and Administration

5. TopicNext Week(Week #2)

New Paradigm ofe-SCM & Logistics

Management in Taiwan

Documents

Heung - Suk Hwang, Department of Business and Administration,