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Eli Broad College of Business

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About the course

With the global marketplace constantly changing, it is crucial that your Manufacturing Planning and Control (MPC) system evolve to stay current with technology, product and market conditions. This course is essential if you are working in any capacity of operations in the supply chain because you’ll gain a thorough understanding of Manufacturing Planning and Control key elements. You’ll also master a variety of decision tools that can assist you in effective planning and execution.

Regardless of what industry or business you work in, understanding all the various systems involved in Manufacturing Planning and Control is ideal if you’re looking to advance your career and increase your organization’s bottom line.

What You’ll Learn

Introduction to Manufacturing Planning and Control (MPC) and Forecasting

  • Key Modules of MPC
  • How to identify the process of forecasting and characteristics of forecasts
  • How to determine the right supply chain for your product
  • Ways to develop causal forecasting models using regression approach
  • Expertise in forecasting error measures

Causal, Static and Adaptive Forecasting

  • How to compare and contrast static and adaptive models
  • Ways to develop moving average, exponential smoothing and Holt’s models
  • Ability to select the appropriate forecasting tool for your operations

Forecasting and Aggregate Production Planning

  • How to identify the differences between chase and level strategies
  • Formulation of aggregate planning models using optimization techniques
  • How to solve and interpret aggregate planning models using optimization methods
  • Ways to make pricing and aggregate planning decisions

Aggregate Planning and Cycle Inventory

  • Economic order quantity and aggregation models
  • Strategies for cycle inventory reduction
  • Formulation and solution of inventory models

Cycle and Safety Inventory

  • Implementation of continuous and periodic review policies
  • How to set safety stocks for different inventory policies
  • The effects of demand and supply uncertainty
  • How to understand and develop inventory pooling models

Safety Inventory and Network Design in Supply Chains

  • How to make network design decisions
  • E-procurement tools that yield the greatest benefits
  • Application of transportation and transshipment models
  • Ways to formulate network models and obtain solutions

Network Design and Material Requirement Planning & ERP Systems

  • Optimization models for supply chain network design
  • How to identify the differences between independent and dependent demand items
  • Effective implementation of MPS and time fences

Material Requirement Planning & ERP Systems

  • MRP: Table, definitions, inputs and outputs
  • How to perform MRP calculations
  • When and how to use ERP and APS systems
  • Concepts of JIT and Lean Systems

Curriculum

8 Week Course

Introduction to MPC and Forecasting

  • Introduction to Manufacturing Planning and Control
  • Introduction to Forecasting - Time Series and Causal
  • Characteristics of Forecasts
  • Forecasting Methods
  • Forecasting Error Measures
  • Causal Forecasting - Westwood
  • Westwood Regression Analysis
  • Causal Forecasting - Zarthan

Causal, Static, and Adaptive Forecasting

  • Zarthan Regression Analysis
  • Keys to Causal Forecasting
  • Introduction to Static and Adaptive Forecasting
  • Moving Average Method
  • Characteristics of Moving Average
  • Exponential Smoothing Method
  • Characteristics of Exponential Smoothing Method
  • Comparison of Moving Average and Exponential Smoothing

Forecasting and Aggregate Production Planning

  • Holt's Method
  • Holt's Method Computations
  • Static Forecasting - Trend Analysis
  • Keys to Static and Adaptive Forecasting
  • Introduction to Aggregate Planning
  • Manufacturing Strategies
  • Tradeoffs in Aggregate Planning and Optimization Models
  • Aggregate Planning - Red Tomato Tools

Aggregate Planning and Cycle Inventory

  • Formulating Aggregate Production Models
  • Variations in Model Formulation
  • Solving Aggregate Production Model
  • Aggregate Planning and Pricing/Promotion Decisions
  • Scenario Analysis/Keys to Aggregate Planning
  • Introduction to Cycle Inventory
  • Role of Cycle Inventory in Supply Chains
  • Economic Order Quantity (EOQ)

Cycle and Safety Inventory

  • EOQ Model Development/Solution
  • Lot-Sizing with Multiple Products
  • Lot-Sizing with Multiple Products Solution and Analysis
  • Lessons from Aggregation/ Keys to Cycle Inventory Management
  • Introduction to Safety Inventory
  • Role of Safety Inventory in Supply Chains
  • Continuous Review Policy (CRP)

Safety Inventory and Network Design in Supply Chains

  • Periodic Review Policy (PRP)
  • PRP-Safety Stock Evaluations
  • Impact of Supply Uncertainty
  • Inventory Pooling
  • Safety Inventory Management at Grainger
  • Keys to Safety Inventory Management
  • Introduction to Network Design in Supply Chains

Network Design and Material Requirement Planning & ERP Systems

  • TRM Model Development
  • TRM Solution Procedure
  • Transshipment Model (TRSM)
  • TRSM Model Development (Thomas Transshipment Model)
  • TRSM Model Solution Procedure
  • Extension to SCM Design
  • Keys to Network Design in Supply Chains

Material Requirement Planning & ERP Systems

  • Independent and Dependent Demand Items
  • Master Production Scheduling
  • MRP- Inputs, Outputs, Reports
  • MRP Table Definitions
  • MRP Evaluations
  • Closed Loop MRP Systems and MRP II
  • Introduction to ERP Systems

Who should attend

Michigan State University’s Manufacturing Planning and Control training will benefit supply chain management professionals in any area of operations. It is especially valuable for managers and executives who are ultimately accountable for running a cost effective operation and balancing production and inventory levels with demand to support customer service levels. Students may find it helpful to have some familiarity with the fundamentals of an integrated supply chain, which are covered in the Supply Chain Management I and II courses.

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