CALIFORNIA STATE POLYTECHNIC UNIVERSITY, POMONA

 

IE 436/L

 

COURSE OUTLINE

 

Course Information	ABET Unit Classification  (3 Quarter Units)
Department: Industrial and Manufacturing Engineering	Math:
Course Number: IE436	Basic Science:
Course Title: Operations Planning and Control	Engineering Topics:  3
Revision Date: 04/1/04	Contains significant design content:              Yes
Revised by:   Kamran Abedini	Other:
Compliant: Catalog 2004/05	Curriculum Designation: Required

 

I. Catalog Description

IE436/L Operations Planning and Control

Analysis and design of systems for planning, scheduling and controlling production, inventory and service operations/activities.  Use of mathematical and computer models.  Projects and open-ended problems.

II.                Prerequisites and Co-requisites

IME 326 (Production Planning and Control), IE 327 (systems Engineering), IE 416 (Operations Research)

 

III. Textbook and/or other Required Material

Text: IE 436– Selected cases in operations and production planning.

Sipper, D., and Bulfin, R., Production Planning, Control and Integration,   McGraw-Hill, 1997

Bedworth, David and James Bailey, Integrated Production Control Systems, Management Analysis Design,  John Wiley & Sons, Second Edition, 1987.

References:  Texts for IE 326, IME 331, IE 416, IE 417

 

IV. Course Objectives

 

1.        Students will understand the basic concepts of operations planning and control functions and systems.   

2.        Students will develop a systematic approach to the solution of planning and control problems for a wide variety of industrial and service organizations.

3.        Students will be able to apply techniques for planning and controlling production operations and service activities.

4.   Students will practice working in teams under constraints and deadlines, and make Professional written and oral presentations.

 

V. Expanded Course Description

 

1.        Mathematical Planning Models

2.        Computer Planning Models

3.        Resource Requirements Planning

4.        Scheduling

5.        Priority Decision Rules

6.        Scheduling Models

7.        Job Sequencing and Operations Scheduling

8.        Assembly Line Balancing and Scheduling

9.        Priority and Capacity Control

10.     Dispatching and Progress Control

11.     Shop Floor Control Systems

12.     On-line, Real-time Operations Control Systems

13.     Computerized Operations Planning and Control Systems

14.     Just-in-Time and Kanban Systems

15.     MRP II in a CIM system

16.     Production Planning for FMS

17.     Planning and Control of Services

18.     Learning Curve Effects

19.     Queuing Models for Analyzing Service Activities

 

VI. Class/Laboratory Schedule

Two 50-minutes lecture and problem solving sessions per week, and Three 50 minute problem solving and team analysis work.

 

VII. Contribution of Course to Professional Component

Students analyze cases by defining problems, analyzing them using scientific methods such as optimization techniques, and also use general knowledge and consider ethical issues when proposing solutions.

 

VIII. Evaluation of Students

The instructor evaluates outcomes and grade using the following methods:

 

A minimum of seven cases are assigned to each team which is graded based on the team’s performance, and comparison of team projects.  Students who are found by team members as non-contributing lose grades accordingly.

 

IX. Relationship of Course to Program Outcomes

 

 

Refer to the IME Department Rubric for Deployment and Assessment Outcomes