Course Description: This course will examine general
problems in the design, planning, and control of manufacturing systems.
Emphasis will be placed on system analysis using a variety of modeling
techniques such as simple probablity, linear programming, queuing theory,
Markov chains, and discrete event simulation, with the objective of
improving system performance. The course is self-contained so that no
previous knowledge of these types of models is required. Although the
course is targeted towards manufacturing industries, much of the material
is directly applicable to a variety of service industries.
Course Objectives: Upon completion of this course, the
student will be able to: balance and sequence a mixed model assemby line;
analyse the effectiveness of a flow line; schedule a flowline and simple
jobshop; analyse a complex flow system using queing theory; group parts
into part families and create cells; create and use simulation models for
manufacturing system; apply these techniques to improve the performance of
real systems.
Course Outline by Topical Areas:
- Line balancing
- Sequencing mixed model assembly lines
- Paced lines with and without buffers
- Lines with variable process times
- Single workstation queueing models
- Multiple workstation queueing models
- Flow shop sequencing
- Dispatching
- Job shop scheduling
- Principles of simulation
- Radom number generation
- Simple serial flow systems in AutoMod
- Using AutoStat for input and output analysis
- Complex flow systems in AutoMod
- Modeling systems with conveyors
- Input analysis
- Output analysis
