SIE 464- Facilities Layout and Location

SIE 464 - Facilities Layout and Location (3) Definition and modeling solutions of continuous and discrete, single and multi-facility location problems for various objectives. Relative location and layout of facilities/departments for minimizing material handling and interaction costs. Emphasis on quantitative methods. 2ES, 1ED. P, 321, 340. May be convened with 564.

R. Francis, L. McGinnis, and J. White, Facility Layout and Location: An Analytical Approach, 2^nd edition, Prentice Hall

Class notes handed out as needed

J. B. Goldberg, Associate Professor of Systems and Industrial Engineering, and P.B. Mirchandani, Professor of Systems and Industrial Engineering

1. Ability to formulate mathematical programming models
2. Ability to manipulate and compute probability distributions
3. Understanding of the ideas of independent events

Transcript check at the beginning of the class for SIE 340 and SIE 305. We allow co-registration in SIE 321. We have 100% compliance. Review of basic probability applied to determining travel times in a stochastic environment.

This is a course in the models and analytical techniques useful for determining layouts and locations for facilities. By the end of the course, the student will understand the major issues involved in these decisions, how to incorporate these issues in mathematical models, and how to solve the models to obtain insight to make appropriate decisions. Both theory and applications will be stressed.

1. Understand the steps in the design process related to laying out facilities.
2. Know the critical issues in the layout and location of different types of facilities
3. Understand and use the current methods in facility layout
4. Understand the current models for locating facilities over large areas.
5. Understand solution techniques and the structure of optimal solutions for location problem models
6. Apply a layout technique or a location technique to an actual problem in a multi-person project.

1. Introduction and problem issues (2 classes)
2. Layout problem, data, what you can expect from client (2)
3. General techniques in layout, flow analysis, graphs, CORELAP method (4)
4. Capacity planning and material handling ideas (2)
5. Computer implementation and methods (3)
6. Mathematical programming approaches and heuristics (3)
7. Review of uncertainty and travel time prediction (2)
8. Single facility planar location (2)
9. Network location (5)
10. Location-routing problems (2)
11. Congested service facility location (1)

Class Requirements:

1. 2 class sessions per week (total of 2.5 hours)
2. 1 class project, presentation, written report
3. Approximately 8 homework assignments per semester
4. 1 Midterm, 1 Final

Student must use whatever tools are necessary to support the project and the homework. Excel is used heavily in the layout section. The program LAYOPT was also used and evaluated.

Laboratory Projects: None

1. Class project presentation.
2. Homework assignments
3. Midterm and final exam
4. Project report

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

Prepared by: Jeff Goldberg   Date: April 2, 1998