IE 367
PRODUCTION PLANNING AND CONTROL

Course Description

Forecasting techniques, inventory analysis, master production scheduling, material and capacity requirements, planning and scheduling methods.

Topics

• Introduction, course overview
• Master production scheduling and rough-cut capacity planning
• Material requirements planning
• Lot sizing
• Capacity requirements planning
• Fixed order quantity models
• Lead time, safety stocks, and order points
• Fixed order period models
• Scheduling and control
• Assembly line balancing

Learning Outcomes

The student, upon completion of this course, will be able to:

• Describe (identify/write) the need to learn about the various functions in production planning and control to better manage manufacturing and/or service systems.
• Show (write) how qualitative and quantitative forecasting techniques can be used in short, medium, and long range forecasting.
• Develop (write) master production schedules (MPSs) and perform rough cut capacity planning to determine if the MPSs are realizable.
• Develop (write) material requirements plans (MRP-I) and manufacturing resource plans (MRP-II) as part of resource requirements planning systems.
• Show (write) how various heuristic decision rules can be used to make lot-sizing decisions.
• Develop (write) capacity requirements plans (CRP) as part of resource requirements planning systems.
• Develop (write) quantitative models to manage independent demand inventory systems.
• Show (write) how various order sequencing rules can be used to improve the performance on the shop floor.
• Show (write) how various heuristics can be used to solve industry-size line balancing problems.
• Using the concepts of Course Leaning Outcome 2, work as a team of 4-5 students on an open-ended (computer project) problem on financial planning to produce a team-written report to effectively communicate the responses to a series of four questions.
• Using the concepts of Course Leaning Outcomes 3-7, work as a team of 4-5 students on an open-ended (term project) problem on the production of three primary products, both with and without machine capacity constraints, to produce a team-written report to effectively communicate the responses to a series of four questions.