Chao-Hsien Chu, Ph.D. School of Information Sciences and Technology

1. Faculty Seminar Chao-Hsien Chu, Ph.D. School of Information Sciences and Technology The Pennsylvania State University University Park, PA 16802 October 25, 1999

2. IS & Software Quality Intelligent Systems Development IS & Networks Security IT for Manufacturing Research Interests global.ist.psu.edu/chu/

3. Intelligent Systems Development Technologies: - Expert Systems / Knowledge-Based Systems - Neural Networks / Neural Computation - Genetic Algorithms /Evolutionary Computation - Fuzzy Logic / Fuzzy Modeling Applications: - Telecommunication Networks Design - Decision Support - Network Security (Intrusion Detection ) - Advanced Manufacturing Systems - Supply Chain Management

4. Intrusion Detection Robotic Control Resources Allocation Routing Selection Networks Design Image Processing Character Recognition Expert Systems IT & Data Communication

5. Digital Data Network Design - STS Problem 3 5 4 3 5 1 1 2 4 2 Hub End-Office Customer Location

6. Routing Decision - DCMST Problems 7 6 4 5 2 8 9 1 3

7. Yes? NO? $+$=? $.$=? Taxation Auditing Market Segregation Real Estate Prediction Credit/Loan Approval AA or B ? Bond Rating Personnel Selection Investment Analysis Bankruptcy Prediction Business

8. Process Monitoring Process Control Machine Fault Diagnosis Demand Forecast Automated Inspection Sequencing & Scheduling Facility Planning Cellular Manufacturing Manufacturing

9. Multiple Objectives Incomplete Data Conflicting Objectives Data Overflow Limited Resources Noise Data Imprecision Uncertainty linguistic Stochastic Subjective Dynamic Short Time Frame Economics of Scale Governmental Regulation Environmental Concerns Characteristics of Real World Problems Complexity LargeScale

10. Hybrid Intelligent Systems Expert Systems Genetic Algorithms Fuzzy Logic Intelligent Systems Search Heuristic Neural Networks Machine Learning

11. Fuzzy Logic Automated Genetic Algorithms Automated Automated Automated Machine Learning Neural Networks An Example of Hybrid Intelligent System Knowledge Engineer Manual or Automated Knowledge (Rule) Base Inference Engine

12. Understanding Drive out Fear Strategic Implementation Technology Deployment Information Systems / Networks Security Determinants Managerial Issues Intrusion Detection

13. Determinants Outcome Measures Technology / Innovation Data Confidentiality Organization Data Integrity Training / Education Data Availability Human Errors / Neglecting Organization Performance Systems Management Impact on Customers Implementation Practices Impact on Suppliers Determinants of Networks Security Attacks Internal Attack External Attack

14. Interruption Modification Interception Fabrication Virus Intelligent Intrusion Detection Systems / Networks

15. Top management support Poor communication End-use awareness Championing Under staffing Under budget Lack of training Excessive file permissions Improper use of technology No incident response procedure Outdated policy & procedure Ineffective security policy No security policy Bad password No security patches Old user accounts Complicated procedure  Inadequate physical security Did not enforce policy Out of the box installation Management of IS/Networks Security

16. Information Systems/Software Quality • Quality Metric • Dimensions of Software Quality • Quality Function Deploy (QFD) • Strategic Quality Management (TQM)

17. Suitability Accuracy Interoperability Security Maturity Fault tolerance Recoverability Understandability Learnability Operability ISO 9126 for Software Quality Functionality Reliability Usability

18. Conformance Reliability Maintainability Adaptability Usability Efficiency Portability Serviceability Responsiveness Competence Accessibility Communication Credibility Dimensions of Software/IS Quality

19. Product Model Process Model Software/IS Quality Function Deployment Quality Model Quality Requirements Functional Requirements Customer Requirements Quality Metric Technical Requirements Process/Data Entities Customer Requirements Subsystem Design Technical Requirements Module Design House of Quality Process/Data Entities Design Planning Subsystem Design Process Planning Operations Planning

20. Elements of Total Quality Management • Data • Costs • Procedures • Documents • Evaluation Systems Module • Team Building • Goals, Mission & Vision • Initiation Strategies • Infrastructure • Motivation & Rewards • SPC • 7 QC Tools • QFD • Hoshin Management • Poka Yoke Managerial Module Technical Module

21. TQM for IS & Software Design Information Systems Software TQM System Planning Quality Policy Planning Feasibility Analysis House of Quality System Analysis Requirement Analysis Design Planning Top Level Design Process Planning System Design Detailed Design Operations Planning Coding Foolproof System Implementation Unit Test SPC Integration Acceptance QC Tools System Support ISO 9000

22. IT for Manufacturing Management • Intelligent Manufacturing Systems • Enterprise Resources Planning (ERP) • Supply Chain Management • Cellular Manufacturing • Just-in-Time (JIT) Production Systems • Technology Innovation & Diffusion • Competitive Manufacturing Strategy

23. Intelligent Manufacturing Systems Robotics Positioning Control On-line Process Monitoring Machine Fault Diagnosis Expert Systems Genetic Algorithm Fuzzy Logic Manufacturing Cells Formation and Layout Search Heuristic Neural Networks Scheduling Machine Learning Demand Forecasting Automated Inspection ProcessControl

24. Data Base Model Base Comm. Network Structure of Computer Integrated Manufacturing • Bar coding • Order entry • Purchasing • Money transfer • Part and product design • Tool and fixture design • Process planning • Demand management • Location/facility planning • Material requirements planning • Inventory management • Quality improvement • Shop floor control • Automated part programming • Machining / assembly • Maintenance • Material handling • Storage & retrieval • Distribution EDI CAD CAPP Manufacturing Information Systems COMS CAM AS /RS

25. Thank You? Any Question?