Industrial Engineering

DEPARTMENT OF INDUSTRIAL AND MANUFACTURING ENGINEERING AND BUSINESS  

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IEN-423, Systems Modeling III

2001 Catalog Data: IEN-423, Systems Modeling III: Production Systems & Simulation

Credits: (4-0-4) 

Course Description: In this course, the student will study the problem of dealing with the flow of materials from the purchase of raw materials to the distribution of the finished product. It will focus on the technical questions of forecasting, inventory control, material requirements planning, aggregate planning, capacity planning and control, production scheduling, and pull manufacturing.

Prerequisites: IEN-321, Systems Modeling I and  IEN 332, Engineering Statistics II or MATH 408, Probability and Statistics

Corequisites:  None

Textbook: (To be determined)

References: Class handouts

Course Learning Objectives:

Upon completion of this course, the students should have the ability to:

  • Evaluate, use and monitor different forecasting techniques (IE PEOs 1, 3, 4).

  • Perform basic inventory analysis and implement inventory systems (IE PEOs 1, 3, 4).

  • Use and implement material requirements planning (IE PEOs 1, 3).

  • Develop and apply aggregate capacity plans  (IE PEOs 1, 3).

  • Develop and apply production schedules (IE PEOs 1, 3).

  • Apply pull manufacturing techniques (IE PEOs 1, 3, 4, 5).

Prerequisites by Topics:

  • Basic probability concepts

  • Descriptive statistics

  • Basic inferential statistics

  • Linear programming

  • Proficient in using MINITAB, LINDO, and simulation software.

Topics Covered:

  • Forecasting and forecasting models, time series analysis.

  • Basic inventory systems, EOQ model, production rate model, quantities discount models, reorder point, safety stock.

  • Inventory systems under uncertainty (risk).

  • Basic material requirements planning (MRP).

  • Aggregate planning and LP modeling.

  • Capacity planning and control.

  • Production scheduling.

  • Pull manufacturing and lean manufacturing.

  • Simulation in production planning and control

Class Schedule:  240 minutes per week

Computer Usage: Simulation package, LINDO and Statistical package MINITAB will be used in this course.

Laboratory Projects: Term project or mini projects may be assigned.

Relationship to Professional Component: Engineering Science:  Four credit hours

Prepared by: Tony Lin                                                                                  Date: August 4, 2000