Lecture: 3 hours

Exercise: 2 hours

Prerequisites: Introduction to Industrial Engineering, Statistics (concurrent)

Goals:

The course aims to provide a practical, up-to-date knowledge describing engineering

methods to measure, analyze, and design work systems that often involved manual

work. The student learns the basic principles to increase productivity and reduce costs

through methods changes and job simplification. Moreover, the course emphasizes the

importance of ergonomics and work design as part of methods engineering, not only

to increase productivity but also to improve worker health and safety. The course

includes lectures, laboratories and practical project (work-study) in an industrial

organization.

Topics:

1. Introduction to modeling and problem solving in Industrial Engineering

2. Historical notes and introduction on productivity and work design

3. Basic charts tools (Pareto, job analysis/worksite guide, flow process charts, workermachine)

4. Ergonomics principles

5. Man-Machine including machine interference

6. Basics on illumination, noise, temperature and Safety and OSHA

7. Basics of time study including rating and allowances

8. Work sampling and related statistical considerations such as sample size,

significance level

9. Standard times including MTM and MOST systems

10. Learning curves, motivation, and people skills

11. Individual and organizational incentive plans: wage incentives, bonuses, options.

12. Methods engineering in relation to production management approaches such as,

Just in time (JIT), Lean manufacturing, and Theory of constraints (TOC)