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SUPPLY CHAIN
ANALYTICS
Supply Chain Analytics Programme Overview
 Supply chains are riddled with complexity that spans
various departments, enterprises and sometimes
geographical locations. This program is an expertly
compiled course that will help participants
understand how analytics applies to the supply chain
- make and source, sell, move. This course will show
how existing analytical techniques and methods can
be enhanced by Data Science and Machine
Learning techniques to better design and manage the
supply chains.
Supply Chain Analytics Course Modules
 1. Supply Chain 101
 2. Application of Data Science & AI in Supply Chain
 3. Operations Research Primer – Optimization &
Simulation
 4. Introduction to Supply Chain Analytics
 5. Supply Chain Operations Reference (SCOR) Model
Supply Chain Analytics Learning Outcomes
 Understand various Supply chain metrics to be
tracked in addition to understanding facility location
and designing network
 Use Data Analytics in managing transportation in
the most optimized manner
 Perform discrete choice modelling using Maximum
Likelihood techniques along with forecasting the
demand and supply
Contact
 Address: 360DigiTMG - Data Science, IR 4.0, AI,
Machine Learning Training in Malaysia,Level 16, 1
Sentral,, Jalan Stesen Sentral 5,, KL Sentral,KL
Sentral50470 Kuala Lumpur, Malaysia.
 Gmail: info@360digitmg.com
 Supply Chain Analytics

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Supply chain analytics converted

  • 2. Supply Chain Analytics Programme Overview  Supply chains are riddled with complexity that spans various departments, enterprises and sometimes geographical locations. This program is an expertly compiled course that will help participants understand how analytics applies to the supply chain - make and source, sell, move. This course will show how existing analytical techniques and methods can be enhanced by Data Science and Machine Learning techniques to better design and manage the supply chains.
  • 3. Supply Chain Analytics Course Modules  1. Supply Chain 101  2. Application of Data Science & AI in Supply Chain  3. Operations Research Primer – Optimization & Simulation  4. Introduction to Supply Chain Analytics  5. Supply Chain Operations Reference (SCOR) Model
  • 4. Supply Chain Analytics Learning Outcomes  Understand various Supply chain metrics to be tracked in addition to understanding facility location and designing network  Use Data Analytics in managing transportation in the most optimized manner  Perform discrete choice modelling using Maximum Likelihood techniques along with forecasting the demand and supply
  • 5. Contact  Address: 360DigiTMG - Data Science, IR 4.0, AI, Machine Learning Training in Malaysia,Level 16, 1 Sentral,, Jalan Stesen Sentral 5,, KL Sentral,KL Sentral50470 Kuala Lumpur, Malaysia.  Gmail: info@360digitmg.com  Supply Chain Analytics