Course Details
Your Growth, Our Mission
Course Description
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
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.
Target Audience
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
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
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
BTS attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration.
Quick Enquiry
Request Info
Related Courses
Your Growth, Our Mission
Contact Us
Contact us to meet all your inquiries and needs, as our professional team is pleased to provide immediate support and advice to ensure you achieve your goals and facilitate your experience with us in the best possible way.
UAE
Office
Mobile
E-mail
Working
Hours