Big Data Analytics for Optimising Supply Chains

Upon completion of this training programme on Big Data Analytics for Optimising Supply Chains, participants will get the ability to: 

• Utilise big data analysis methods and technologies to spot trends in the behaviour of the supply chain.
• Build virtual supply chain models and select the options that will yield the greatest profitability. 
• Locate the Big Data sources in their logistics and supply chain, then optimise their use.
• Make a list of the typical behaviours of your customers and look for any potential deviations.
• Make a plan to enhance their supply chain using the personnel and facilities they already have.
• Get ready for the arrival of Industry 4.0's Supply Chain 4.0. 

Using a guided training method, the participants in this Big Data Analytics for Optimising Supply Chains course will be taken through actual instances of Big Data's application in supply chain optimisation. The AnyLogic and AnyLogistix Personal Learning Edition software will be given to the delegates, who will also learn how to utilise it to create models on their own.

Through hands-on exercises, delegates will learn how to locate the Big Data sources within their supply chain, connect the data from these sources with simulation models to obtain the outputs from a supply chain, gain insightful knowledge from these outputs, and apply it to make decisions in real time. There will also be a presentation on the potential benefits of eliminating human judgement from certain aspects of supply chain planning and implementation.

The decisions made in the supply chain are becoming more frequent and time-sensitive as big data becomes ingrained in daily life. The companies that are able to shift decision-making from their personnel to artificial intelligence (AI) and empower them to make decisions based on precise forecasts will not only thrive in the competitive world, but also generate significant returns on investment for their stakeholders.

With the help of this training course on Big Data Analytics for Optimising Supply Chains, entities, and organisations may gain: 

• Sources of big data inside their own supply chain
• Compatibility with other supply networks 
• Dynamic simulation based on real-time cost/benefit analysis and Big Data analytics findings
• Simple and quick short-term forecasting to enable quick decision-making
• Shifting the laborious decision-making process to the realm of artificial intelligence (AI)
• Empowering individuals to make long-term judgements and delegating short-term decision-making to technological means 

Delegates will comprehend the possibilities of Supply Chain 4.0, gain expertise in Big Data analysis, and learn about the tools and programmes that will enable them to carry out their daily tasks with ease and effectiveness. More precisely, delegates will study: 

• The familiarity with Big Data sources in the logistics and supply chain
• An understanding of big data analysis methods 
• Programmes available for dynamic modelling and Big Data analysis
• How to choose which judgements should be made by humans and which should be delegated to computers and other systems
• Understand how to use the applications AnyLogic and AnyLogistix.
• How can they integrate their current ERP software with simulation software? 

This course on Big Data Analytics for Optimizing Supply Chains is intended for people working in any industry or organization that depends significantly on manufacturing, mass services, logistics, supply chains, etc. 

The following are just a few of the sectors in which this Course N Carry Big Data Analytics for Optimizing Supply Chains training course is appropriate for professionals:

• Specialists in Business Improvement
• Pioneers & Practitioners of Industry 4.0
• Managers of the Supply Chain
• Managers of Operations
• Supervisors of Projects
• Managers of Finance
• Managers of IT
• Advisors