SIE 250/260 - Introduction to Systems Engineering/

SIE 250 - Introduction to Systems and Industrial Engineering (3) System modeling; the elementary constructs and principles of system models including discrete-time, discrete-state system theory; finite state machines; modeling components, coupling, modes and homomorphisms. System design; requirements, life-cycle, performance measures and cost measures, tradeoffs, alternative design concepts, testing plan, and documentation. Applications and case studies from engineering. 2ES, 1ED. P, ENGR 102, MATH 125b.

SIE 260 - Introduction to Industrial and Manufacturing Systems (3) Analysis, design and control of manufacturing and production systems, including topics in facilities layout and location, materials handling, inventory control, computer-integrated manufacturing, information systems, and simulation. 2ES, 1ED. P, ENGR 102, MATH 125b.

None

Project handouts provided in class.

Suvrajeet Sen, Professor of Systems and Industrial Engineering, and K. Larry Head, Assistant Professor of Systems and Industrial Engineering

1. Ability to code in a high level computer language
2. Knowledge of the engineering design process

None

To develop a basic understanding of the profession of Systems and Industrial Engineering as related to design, development, and testing.

1. Understand the system design process: requirements development, system specifications, buildability in a technology, system testing, system integration, and retirement and replacement.
2. Understand the role of models in the system design process.
3. Understand how measures of effectiveness can be used in evaluating alternative system designs with respect to system requirements and specifications.
4. Understand how optimization of system parameters can be used to find the best system design.
5. Understand how a system or product design can be translated into a production plan including machining specifications.
6. To gain experience working in teams to develop solutions to complex engineering design problems.
7. To gain experience writing professional quality reports.

1. 1.Systems and Industrial Engineering: History and Philosophy (3 hours)
2. System Requirements and Specifications (2)
3. System Modeling: State Machine Models (6)
4. System Modeling: Dynamic System Models: I-Think (5)
5. Measures of Effectiveness (3)
6. Simulation and Analysis (5)
7. Optimization (4)
8. Geometric Modeling for Manufacturing (3)
9. Machine Specification for Production (3)
10. Demand Forecasting and Production Planning (2)

Class Requirements:

1. Three lecture sessions per week.
2. Team homework exercises every 2-4 weeks.
3. Two in class examinations and a final examination.

Students are expected to use computer for system modeling and analysis including spreadsheets, word processors, and I-Think.

Laboratory Projects: None

1. Class examinations
2. Final examination
3. Team project reports

Contribution to program objectives: Goals 1, 2, 3, 4, 5

Prepared by: K. Larry Head    Date: April 6, 1998