Advanced Planning In Supply Chain Management Course

 Introduction

This course of a hugely important work gives a broad and up-to-date overview of the concepts underlying APS. Special emphasis is given to modeling supply chains and implementing APS successfully in industrial contexts. What’s more, delegates’ understanding is enhanced by several case studies covering a wide range of industrial sectors.

 On completion of this course you should be able to: 

• Describe a supply chain and define supply chain management.
• Describe the objectives and elements of supply chain management.
• Describe local, regional, and global supply chain management activities among services and manufacturing companies.
• Describe a brief history and some of the trends of supply chain management.
• Understand how the bullwhip effect impacts supply chain members.

Course Outline

Basis of Supply Chain Management

• Supply chain management – an overview
• Supply chain analysis
  • Process modeling
  • Performance measurement
  • Inventory analysis
• Types of supply chains
• Advanced planning

Concepts of Advanced Planning Systems

• Structure of advanced planning systems
• Strategic network design
• Demand planning
• Master planning
• Demand fulfillment and ATP
• Production planning and scheduling
• Purchasing and material requirements planning
• Distribution and transport planning
• Coordination and integration
• Collaborative planning

Implementing Advanced Planning Systems

• The definition of a supply chain project
  • Supply chain evaluation
  • Supply chain potential analysis
  • Project roadmap
• The selection process
  • APS Requirements
  • Implementation and integration
  • Post-implementation effort and support model
• The implementation process
  • The APS implementation project
  • Modeling phases of an APS-Project

Actual APS and Case Studies

• Architecture of selected APS
• Strategic network design in the chemical industry
• Computer assembly
• Oil industry
• SCM in a pharmaceutical company
• Demand planning of Styrene Plastics
• Food and beverages
• Scheduling of synthetic granulate
• Event-based planning for standard polymer products
• Conclusions and Outlook

Supplement

• Forecast methods
  • Forecasting of seasonality and trend
  • Initialization of trend and seasonal coefficients
• Linear and mixed integer programming
• Genetic algorithms
• Constraint programming