Available Fall term
or equivalent statistical material
416 Rogers Hall
Forecasting techniques, inventory analysis, master production scheduling, material and capacity requirements, planning and scheduling methods.
- 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
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) and capacity requirements plans (CRP) as part of resource requirements planning systems.
- Show (write) how various heuristic decision rules can be used to make lot-sizing decisions.
- Develop (write) quantitative models to manage independent demand in 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.