Mar 13, 2025  
2023-2024 Undergraduate Academic Catalog-June Update 
    
2023-2024 Undergraduate Academic Catalog-June Update [ARCHIVED CATALOG]

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IND 4310 - Production Planning and Inventory Control

2 lecture hours 2 lab hours 3 credits
Course Description
This course provides a comprehensive review of the material planning and production control modules within an Enterprise Resource Planning (ERP) system. This course focuses on learning strategies for managing the ongoing activities that are comprised in production systems to satisfy customer demand.  Production systems require “planning and controlling” to get the most value out of our resources, reduce costs associated with the production process, and, in general, to run the production process efficiently to survive in the global market.  This course emphasizes inventory control management techniques for production planning covering topics from how to coordinate the supply of material, coordinating resources and activities for conducting the production process, and finalizing with the distribution of the product.  Similarly, it introduces students to work with different ERP software.  It introduces students to ERP software and compares both “push” and “pull” approaches. (prereq: IND 2030 , IND 3820 ) (quarter system prereq: MA 262 IE 3820)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Define and explain common terminology related to production planning and control
  • Utilize common forecasting techniques to predict future demand and evaluate them using quantitative techniques (e.g., ME, MAD, APE, SD)
  • Explain the use and implementation of inventory management systems, ABC analysis and methods of maintaining inventory accuracy
  • Utilize different versions of the EOQ model and explain the trade-offs, constraints, and advantages of each model
  • Utilize and assess different contemporary lot sizing techniques and explain the trade-offs, constraints, and advantages of each technique
  • Implement cost analysis to evaluate lot sizing decisions
  • Explain, construct, and interpret MPS documents for different production scenarios
  • Apply the MRP algorithm with various lot sizing rules to generate planned order releases
  • Perform rough-cut capacity planning and calculate relevant system parameters such as capacity, utilization, and efficiency
  • Describe the difference between push and pull production systems and explain how various pull systems operate
  • Relate the Theory of Constraints to production planning and control activities
  • Utilize ERP software to analyze data from a sample company and perform common production control transactions
  • Apply methods to address job scheduling problems and workforce planning problems in different organizational settings
  • Explain the relationship between production planning and inventory control, ERP, and supply chain management

Prerequisites by Topic
  • Probability, statistics, variability, and linear regression
  • Systems of linear equations, linear transformations, matrices, etc.
  • Process modeling

Course Topics
  • Introduction to ERP
  • Dependent vs. independent demand
  • Introduction to forecasting
  • Forecasting models
  • Methods for evaluating forecasting models
  • Master Production Scheduling (MPS)
  • Rough-cut capacity planning
  • Resource requirements planning
  • Introduction to Material Requirements Planning (MRP) (i.e., elements of the MRP, construction of the MRP, understanding the MRP, calculations, how the dependent demand affect the MRP, lot sizing in MRP - produce-to-order vs. produce-to-stock; net change vs. regenerative MRP systems; MRP in assemble-to-order firms)
  • Bill of materials file and inventory status file
  • Economic Order Quantity Model (EOQ)
  • Capacity requirements planning and load schedule
  • Fixed Order Quantity and Fixed Order Period Systems
  • EOQ models with quantity discounts
  • Lead Time (LT) and Safety Stock (SS)
  • Order point, probability of stockout, and service level
  • Single period models
  • ABC Classification of Materials
  • Wagner-Whitin algorithm
  • Job scheduling and capacity planning
  • Order sequencing rules and their performance based on different evaluation criteria
  • Sequencing jobs through two work centers - Johnson’s rule
  • Workforce scheduling algorithms
  • Mathematical programming approaches for operations planning (LP and MIP)
  • Introduction to supply chain
  • Common problems of supply chain in engineering
  • Impact of supply chain on the operation planning
  • Use of blockchains in supply chain problems

Laboratory Topics
  • Two-hour laboratory covering ERP software (e.g., SAP and ERPSim, Microsoft Dynamics GP, and Oracle)

Coordinator
Dr. Leah Newman



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