Introduction

Supply chains generate substantial volumes of data across sourcing, production, inventory, transportation, and customer fulfilment. Converting this information into reliable insights can improve forecasting, resource allocation, service performance, and operational control. Advanced analytics enables organisations to respond more effectively to complex and rapidly changing supply chain conditions.

Big Data Analytics for Supply Chain Optimization training course develops analytical capabilities for better forecasting, visibility, and operational decision-making. It provides a structured understanding of supply chain data sources, analytical methods, optimisation principles, and simulation models. Participants learn how to translate complex information into practical insights that support measurable business improvements.

The course also examines the relationship between big data, Industry 4.0, artificial intelligence, ERP environments, and real-time supply chain intelligence. Participants explore how analytical models can improve manufacturing, inventory, distribution, and logistics decisions. These capabilities support more agile, connected, and future-ready supply chain operations.

Key focus areas of this Big Data Analytics for Supply Chain Optimization training course include:

Key Learning Outcomes

At the end of this Big Data Analytics for Supply Chain Optimization training course, participants will be able to:

Training Methodology

This training course combines expert-led instruction, interactive learning, group discussions, practical exercises, applied scenarios, and real-world examples. Participants interpret supply chain data, evaluate analytical models, compare alternative scenarios, and translate evidence-based insights into practical planning and operational decisions.

Big Data Analytics for Supply Chain Optimization

Who Should Attend?

This Big Data Analytics for Supply Chain Optimization training course is designed for:

  • Supply Chain Analytics Managers
  • Supply Chain Analysts
  • Logistics Analytics Managers
  • Logistics Analysts
  • Demand Planning Managers
  • Inventory Analytics Managers
  • Supply Chain Optimisation Managers
  • Digital Supply Chain Managers
  • Industry 4.0 Managers
  • Operations Research Analysts

Course Outline

Day 1

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
Day 2

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)
Day 3

Supply Chain Optimization

  • Framework oriented on customer requirements
  • Optimizing the sell operations
  • Optimization of distribution
  • Optimization of inventory management
Day 4

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
Day 5

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

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FAQs

The course develops the capability to use large and diverse data sources to improve supply chain planning and operational decisions. Participants examine how analytics can support forecasting, optimisation, simulation, visibility, and performance improvement across interconnected supply chain activities.

Participants do not need to be data scientists or advanced technical specialists. The course approaches analytics from a supply chain and business decision-making perspective, helping professionals understand how analytical methods and models can be applied to operational challenges.

The course considers information generated across procurement, manufacturing, inventory, logistics, distribution, transportation, and customer-facing activities. Participants also examine the volume, velocity, variety, value, and reliability of data used to support supply chain decisions.

Big data analytics can reveal patterns, risks, inefficiencies, and emerging changes that may not be visible through traditional reporting. These insights can improve demand forecasting, inventory allocation, production planning, distribution performance, and responsiveness to disruption.

Participants examine the relationship between analytics, connected technologies, real-time information, automation, ERP environments, and Industry 4.0. This helps organisations assess their current capabilities and identify practical steps towards more integrated and data-driven supply chain operations.

The course examines how simulation models can compare alternative supply chain scenarios before implementation. It also considers connectivity between analytical environments, ERP platforms, tracking systems, and operational data sources that support faster and more informed decisions.

GRC Academy training courses are delivered in leading international business destinations, including London, Amsterdam, and Dubai. Sessions are hosted in carefully selected four- and five-star business hotels with professional meeting facilities that support focused learning, interaction, comfort, and confidentiality.

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GRC Academy provides both online and in-person options for all our training courses. Participants may join interactive virtual sessions or attend scheduled courses in major international locations, allowing them to select the option that best suits their professional commitments and availability.

GRC Academy develops customised in-house training courses that address each organisation’s strategic priorities, operational environment, and workforce capability requirements. Our team works closely with clients to tailor the course content, learning outcomes, and practical emphasis.

These tailored courses are designed to strengthen organisational capability, improve team performance, and support measurable and sustainable outcomes. For customised in-house training enquiries, please contact the GRC Academy Customer Service team at [email protected]

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