Advanced Planning In Supply Chain Management

Course Code: PM 29

 

Course Objective

  • 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.

 

Target Audience

  • This course will mainly benefit to purchasing managers, senior buyers, project managers, civil engineers, construction managers, contractors, sub-contractors, site engineers, senior management, and government agencies, architects, construction professionals, and anyone responsible for purchasing at a senior level who seeks to enhance their skills further.

 

Course Outline

Day 1

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

Day 2

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

Day 3

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

Day 4

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

Day 5

Supplement

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


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Date & Location

Date : 17 March 2019

Duration : 5 days

Place : Istanbul

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Date : 08 December 2019

Duration : 5 days

Place : Kuala Lumpur

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