Big Data Analytics for Supply Chain Optimization - Virtual Learning
Course Methodology
This training course on Big Data Analytics for Supply Chain Optimization uses a guided training approach where the delegates will be guided through the real life examples of Big Data use in the supply chain optimization. The delegates will be provided with a Personal Learning Edition of the AnyLogic and AnyLogistix software and will learn how to use this software to develop models themselves.
Delegates will learn how to identify the sources of the Big Data within their supply chain and through practical exercises learn how to connect the data from these sources with simulation models to get the outputs from a supply chain and learn how to acquire valuable insights from these outputs and use them in real time decision making. The possible opportunities of removing human decision from certain elements of supply chain planning and execution will also be presented.
Course Objectives
At the end of this Big Data Analytics for Supply Chain Optimization training course, attendees will learn to:
- Use Big Data analysis tools and techniques to identify patterns in supply chain behavior
- Create virtual models of supply chains and choose between alternatives with highest profits
- Identify the sources of Big Data in their supply chain and logistics and streamline their use
- Create a customer behavior patterns and recognize possible changes in these patterns
- Plan for the improvement in their supply chain with existing facilities and workforce
- Prepare for the incoming Supply Chain 4.0 as integral part of Industry 4.0
Target Audience
This training course on Big Data Analytics for supply Chain Optimization designed for any professionals within industries and entities which are heavily dependent on supply chain and logistics as well as production, mass services, etc.
This Gulf Rowad Big Data Analytics for Supply Chain Optimization training course is suitable to a wide range of professionals within many industries but will greatly benefit:
- Business Improvement Specialists
- Industry 4.0 Pioneers and Practitioners
- Supply Chain Managers
- Operation Managers
- Project Managers
- Finance Managers
- IT Managers
- Consultants
Target Competencies
Organisational Impact
As the Big Data becomes the part of our everyday life the decisions within the supply chain become more frequent and time constrained, the organizations that manage to transfer decisions which can be made by the Artificial Intelligence (AI) away from their personnel and enable their people to make the decisions based on the accurate predictions will be the ones that will not only survive in the competitive world but also thrive and create large returns on investment to their stakeholders.
This Big Data Analytics for Supply Chain Optimization training course enables organizations and entities to benefit from:
- Big Data sources within their own supply chain
- Interoperability with other supply chains
- Dynamic simulation based on the Big Data analytics results and real time cost / benefit analysis
- Easy and fast short term forecasting for immediate decision making
- Moving the cumbersome decision making to Artificial Intelligence (AI) field
- Enabling people to make long terms decisions while leaving short term decisions to technology
Personal Impact
Delegates will realize the potential of Supply Chain 4.0, learn Big Data analysis and acquire the knowledge on the software and solutions that can help them perform their regular jobs easily and efficiently, specifically, delegates will acquire:
- The knowledge of Big Data sources within the supply chain and logistics
- Insight into the Big Data analysis techniques
- Available software for Big Data analysis and dynamic simulation
- The way how to decide which decisions should be made and which left to the machines and systems
- Know how on using AnyLogic and AnyLogistix software
- How to incorporate simulation software with their existing ERP software?
Course Outline
Industry 4.0 and Its Impact on Supply Chain
- Industry 4.0 introduction
- Industry 4.0 drivers and impacts
- Supply chain and logistics within the Industry 4.0
- Vision of the Supply Chain 4.0 and the future of logistics
Big Data in Supply Chain and Logistics
- Big Data 5V’s in supply chain and logistics
- Volume
- Velocity
- Variety
- Value
- Veracity
- Sources of Big Data within the supply chain and logistics
- Data driven supply chain optimization (K-means, Apriori, Aykin and Babu algorithms)
Supply Chain Optimization
- Framework oriented on customer requirements
- Optimizing the sell operations
- Optimization of distribution
- Optimization of inventory management
Optimization of Manufacturing Process
- Optimizing product design and innovation
- Optimizing the production process
- Big Data analysis of logistics activities
- Using created models as agents for future models creation
Integration of Modern Software with Existing ERP Software
- The AnyLogic cloud
- Interoperability of AnyLogic and AnyLogistics with ERP software platforms
- RFID and vehicle tracking systems connectivity
- Data extrapolation for faster analysis and computation
2026 Schedule & Fees
| Date | City | Language | Price | Action |
|---|---|---|---|---|
| 28 Jun - 02 Jul, 2026 | Online | English | USD 2,000 | Book |
| 28 Jun - 02 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | English | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | English | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | English | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | English | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | English | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | English | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | English | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | English | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | English | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | English | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | English | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | English | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | English | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | English | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | English | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | English | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | English | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | English | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
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