/  Advanced Planning In Supply Chain Management Training

Advanced Planning In Supply Chain Management Training

BMC Training provides a training course in Advanced Planning In Supply Chain Management in Warehouse , Logistics , Supply Chain and Inventory

Course Title
Venue
Start Date
End Date
  • Kuala Lumpur
    25 - 3 - 2018
    29 - 3 - 2018
  • Istanbul
    11 - 3 - 2018
    15 - 3 - 2018
  • Muscat
    25 - 3 - 2018
    29 - 3 - 2018
  • London
    8 - 4 - 2018
    12 - 4 - 2018
  • Dubai
    8 - 4 - 2018
    12 - 4 - 2018
  • Paris
    8 - 4 - 2018
    12 - 4 - 2018
  • Kuala Lumpur
    13 - 5 - 2018
    17 - 5 - 2018
  • Istanbul
    20 - 5 - 2018
    24 - 5 - 2018
  • Muscat
    13 - 5 - 2018
    17 - 5 - 2018
  • London
    24 - 6 - 2018
    28 - 6 - 2018
  • Dubai
    3 - 6 - 2018
    7 - 6 - 2018
  • Paris
    24 - 6 - 2018
    28 - 6 - 2018
  • Kuala Lumpur
    1 - 7 - 2018
    5 - 7 - 2018
  • Istanbul
    22 - 7 - 2018
    26 - 7 - 2018
  • Muscat
    1 - 7 - 2018
    5 - 7 - 2018
  • London
    19 - 8 - 2018
    23 - 8 - 2018
  • Dubai
    12 - 8 - 2018
    16 - 8 - 2018
  • Paris
    19 - 8 - 2018
    23 - 8 - 2018
  • Kuala Lumpur
    16 - 9 - 2018
    20 - 9 - 2018
  • Istanbul
    16 - 9 - 2018
    20 - 9 - 2018
  • Muscat
    16 - 9 - 2018
    20 - 9 - 2018
  • London
    7 - 10 - 2018
    11 - 10 - 2018
  • Dubai
    21 - 10 - 2018
    25 - 10 - 2018
  • Paris
    7 - 10 - 2018
    11 - 10 - 2018
  • Kuala Lumpur
    18 - 11 - 2018
    22 - 11 - 2018
  • Istanbul
    11 - 11 - 2018
    15 - 11 - 2018
  • Muscat
    18 - 11 - 2018
    22 - 11 - 2018
  • London
    2 - 12 - 2018
    6 - 12 - 2018
  • Dubai
    9 - 12 - 2018
    13 - 12 - 2018
  • Paris
    2 - 12 - 2018
    6 - 12 - 2018
  • Kuala Lumpur
    27 - 1 - 2019
    31 - 1 - 2019
  • Istanbul
    20 - 1 - 2019
    24 - 1 - 2019
  • Muscat
    27 - 1 - 2019
    31 - 1 - 2019
  • London
    10 - 2 - 2019
    14 - 2 - 2019
  • Dubai
    17 - 2 - 2019
    21 - 2 - 2019
  • Paris
    10 - 2 - 2019
    14 - 2 - 2019

 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

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