1. K.M. Corker, Ph.D.Industrial & Systems Engineering System Engineering ISE 222 Spring 2005 Notes & Course Materials www.engr.sjsu.edu/kcorker Kevin.Corker@sjsu.edu www.engr.sjsu.edu/kcorker Kevin Corker San Jose State University 1/18/05

2. K.M. Corker, Ph.D.Industrial & Systems Engineering Definitions of System Engineering Structure: management technology to assist in the formulation, analysis and interpretation of the impacts of proposed policy, controls, and systems on the needs, institution and values under investigation

3. K.M. Corker, Ph.D.Industrial & Systems Engineering Function: Methods and Tools –to support analysis of large- scale, dynamic and complex systems, –to support process-oriented management practice and –to provide effective & efficient trade offs among alternatives Definitions of System Engineering

4. K.M. Corker, Ph.D.Industrial & Systems Engineering Purpose: To develop information and knowledge organized To support definition, development and deployment of total systems to assure integration and high quality relative to reliability, availability, maintainability, operability … ilities. Definitions of System Engineering

5. K.M. Corker, Ph.D.Industrial & Systems Engineering Steps and Phases Formulation Analysis Interpretation

6. K.M. Corker, Ph.D.Industrial & Systems Engineering System Life-Cycle Formulation Analysis Interpretation System Definition Formulation Analysis Interpretation System Development Formulation Analysis Interpretation System Deployment

7. K.M. Corker, Ph.D.Industrial & Systems Engineering ISE 222Systems Engineering Introduction Part 2 Dopeler effect: The tendency of stupid ideas to seem smarter when they come at you rapidly

8. K.M. Corker, Ph.D.Industrial & Systems Engineering What Will We Learn??? Systems Engineering Methods & Tools Systems Engineering Life-cycle Process Systems Engineering Management

9. K.M. Corker, Ph.D.Industrial & Systems Engineering Systems Engineering Functions Formulation of the System –Needs to be fulfilled –Requirements & Objectives –Constraints and Degrees of Freedom –Alternatives to above Analysis –Determine the impact of varied alternative courses of action Determine the course of least constraint Determine the risk mitigation strategy Interpretation of Analysis –Rank Order, Bias & Uncertainty Assessment

10. K.M. Corker, Ph.D.Industrial & Systems Engineering What are the Functions Applied To?? Design, Develop, Deploy Systems –Large in Scale –Large in Scope –Large in Range of Impact System Types –Physical Systems –Human & Organizational Systems –Enterprise Systems –Information Systems Systems of Systems Aerospace examples

11. K.M. Corker, Ph.D.Industrial & Systems Engineering What is a System? Group of Components that work together for a purpose –Service –Product –Process

12. K.M. Corker, Ph.D.Industrial & Systems Engineering How is a System Understood ?? Decomposition Analysis Aggregation More than the sum of its parts –Emergent –Self-organizing –Entropic and Enthalpic A thermodynamic function of a system, equivalent to the sum of the internal energy of the system plus the product of its volume multiplied by the pressure exerted on it by its surroundings

13. K.M. Corker, Ph.D.Industrial & Systems Engineering When you decompose what do you get?? Components –Structural –Operating –Flow

14. K.M. Corker, Ph.D.Industrial & Systems Engineering What is a System Life Cycle System Planning and Marketing Research Development Testing and Evaluation System Acquisition & Deployment & Production

15. K.M. Corker, Ph.D.Industrial & Systems Engineering How can system be known?? State of a System –Collection of variables that describe a system from a perspective and at specific time –Variation in perspective –Variation in temporal resolution System Engineering Knowledge –Principles –Practices –Perspectives

16. K.M. Corker, Ph.D.Industrial & Systems Engineering How can system be known?? Thought then has objective validity because it is not fundamentally different from the objective reality but is specially suited for the imitation of it. The fundamental nature of neural machinery lies in its power to parallel or model external events. KJW Craik The Nature of Explanation (Cambridge, 1952)

17. K.M. Corker, Ph.D.Industrial & Systems Engineering What are criteria for System Quality ?? Efficient & Effective in –Production –Use –Maintenance –Retrofit Other Criteria??

18. K.M. Corker, Ph.D.Industrial & Systems Engineering