Advanced AI Techniques for the Supply Chain
Course Description
Course Introduction Logistics and Supply chain optimization is the adjustment of a supply chain's operations to ensure it is at its peak of efficiency, with the ability to reduce and tackle the risks related to the possible sustainability and interruptions of the Supply Chain, leading to the Supply Chain and Logistics 4.0. As the availability of the data grows so that the opportunity to move away from the previously used techniques of forecasting and transfer into the realm of Big Data and Artificial intelligence. Data Analysis, planning and real time reaction to the changes in supply chain become the “must haves”, and with the use of the tools available for the Big Data analysis and dynamic simulation we are able now to have a glimpse into the future and make a decision based on the dynamic simulation of agent and processes behavior. This course is there to help institutions, companies and individuals transform their existing supply chain to a Supply Chain 4.0, utilize Machine Learning tools and techniques and be competitive within the fourth industry revolution.
The Training Course Will Highlight ?

This seminar will highlight:

 

  • What are the Big Data sources in Supply Chain and Logistics and their utilization,
  • Methods for machine learning and its use for forecasting,
  • Using analysis results for a dynamic simulation basis,
  • Cost reduction trough predictive analytics,
  • Decision making in real time,
  • Forecasting the events based on complex behavior analysis and pattern recognition.
Training Objective

Course Objectives

 

By the end of this course the delegates will:

  • Learn how to utilize Machine Learning in Supply Chain Management.
  • Learn new concepts from industry proven examples,
  • Gain a foundational understanding of a subject and the use of AI within Supply Chain,
  • Develop job-relevant skills with hands-on projects and examples.
  • Create virtual models of Supply Chains.

Target Audience

Who Should Attend?

 

This training course is suitable to a wide range of professionals but will greatly benefit:

  • Operation Managers
  • Project Managers
  • Supply Chain Managers
  • Risk Managers
  • Plant Managers
  • Production Planners
  • HR Managers
  • Logistics Managers
  • Plant Managers
  • Bossiness Improvement Specialists

Training Methods

Training Methodology

 

The delegates will be walked through the examples of using the software for Supply Chain design, market planning, inventory optimization, warehouse practices improvement, risk management and customer satisfaction measurement.

Delegates will go through the step-by-step process of creating the supply chain process, performing the risk assessments, acquiring and analyzing the results and preparing the recovery measures, and using Machine Learning algorithms best utilized within the Supply Chain.

The delegates will create simulation models based on the real life data, and will be encouraged to simulate the processes they are already working on. The focus is on the actual work of the delegates and their effective use of software

Daily Agenda

Seminar Outline

 

Supply Chain and Machine Learning Introduction

  • Use cases of machine learning in the supply chain
  • General artificial intelligence concepts
  • Vision of the Supply Chain 4.0 and the future of Logistics
  • Exercise: machine learning model for Supply Chain
  • Exercise: Supply Chain modelling trough AI

 

Concepts relating to the ML paradigm

  • How to pick the right model for Supply Chain
  • Data Driven Supply Chain Optimization
    • k-means,
    • Apriori,
    • Aykin and Babu algorithms
  • Exercise: Use of Big Data within AI software

 

Machine learning on images and text

  • Framework oriented on customer requirements
  • Exercise: Creating a model of customer behavior
  • Optimization of distribution
  • Natural language processing
  • Exercise: Creating and evaluating distribution network models
  • Optimization of inventory management
  • Exercise: Modeling inventory management policies

Optimization of manufacturing process and AI for detecting anomalies

 

  • Optimizing product design and innovation
  • Optimizing the production process
  • Exercise: Creating a Supply Chain network
  • Using created models as agents for future models creation
Accreditation

CDGA attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration

Quick Enquiry

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Course Rounds : (5 -Days)


Code Date Venue Fees Register
PRO160-01 21-07-2024 Dubai USD 5450
PRO160-02 19-08-2024 London USD 6950
PRO160-03 21-10-2024 Istanbul USD 5950
PRO160-04 01-12-2024 Dubai USD 5450
Prices doesn't include VAT

UpComing Date


Details
  • Start date 21-07-2024
  • End date 25-07-2024

Venue
  • Country UAE
  • Venue Dubai

Quality Policy

 Providing services with a high quality that are satisfying the requirements
 Appling the specifications and legalizations to ensure the quality of service.
 Best utilization of resources for continually improving the business activities.

Technical Team

CDGA keen to selects highly technical instructors based on professional field experience

Strengths and capabilities

Since CDGA was established, it considered a training partner for world class oil & gas institution

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