Powered by Smartsupp Big Data Analytics for Supply Chain Optimization – Stratedge Training Centre
5-day Interactive Training Course

Big Data Analytics for Supply Chain Optimization

Get ready for Supply Chain 4.0 as an integral component of Industry 4.0.

Course Dates

05 - 09 Feb 2024 Dubai - UAE € 4,350 Register Now
01 - 05 Apr 2024 Dubai - UAE € 4,350 Register Now
17 - 21 Jun 2024 Istanbul - Turkey € 4,350 Register Now
19 - 23 Aug 2024 Istanbul - Turkey € 4,350 Register Now
21 - 25 Oct 2024 Copenhagen - Denmark € 5,350 Register Now
16 - 20 Dec 2024 Dubai - UAE € 4,350 Register Now

Overview

As Industry 4.0 advances, the supply chain and logistics remain its essential components. Any disruptions in this flow can significantly impede progress and diminish the benefits of industrial advancements. Thus, Supply Chain and Logistics 4.0 emerge as imperative to facilitate the smooth transportation of goods and information generated by industries, ensuring final products reach customers efficiently.

Even with innovative manufacturing technologies like 3D printing, the transportation of equipment remains essential for operational setup.

As data availability expands, there’s a shift from traditional forecasting methods to leveraging Big Data and Artificial Intelligence (AI) for analysis, planning, and real-time response in supply chain management. Utilizing tools for Big Data analysis and dynamic simulation enables proactive decision-making based on predictive agent and process behaviors.

The training course “Big Data Analytics for Supply Chain Optimization” offered by STRATEDGE aims to aid institutions, companies, and individuals in transitioning to Supply Chain 4.0, enhancing competitiveness within the fourth industrial revolution.

Key highlights of the course include identifying Big Data sources in supply chain and logistics, methods for analysis and forecasting, utilizing analysis results for dynamic simulation, and optimizing decision-making for market share, profit, and cost reduction in real-time scenarios.

Course Objectives

By the conclusion of the Big Data Analytics for Supply Chain Optimization training course, participants will gain proficiency in:

  • Mastering Big Data analysis tools for trend identification in supply chain dynamics
  • Crafting virtual supply chain models to pinpoint optimal profit-maximizing solutions
  • Identifying and optimizing utilization of Big Data sources in the supply chain
  • Analyzing customer behavior patterns and forecasting potential shifts
  • Devising strategies for supply chain improvements leveraging existing resources
  • Preparing for the emergence of Supply Chain 4.0 as a crucial facet of Industry 4.0

Training Methodology

This training course adopts a hands-on approach, utilizing real-life examples to illustrate the application of Big Data in supply chain optimization. Participants will receive guidance and access to a Personal Learning Edition of AnyLogic and AnyLogistix software, enabling them to develop models independently.

Through practical exercises, delegates will learn to pinpoint Big Data sources within their supply chain and integrate this data into simulation models. They will acquire the skills to interpret outputs from these models, extracting valuable insights for real-time decision-making. Additionally, the course will explore the potential for automating certain aspects of supply chain planning and execution, reducing reliance on human intervention.

Who Should Attend?

This Big Data Analytics for Supply Chain Optimization training course caters to professionals across various industries reliant on supply chain, logistics, production, and mass services. While suitable for a broad audience, it particularly suits the following roles:

  • Business Improvement Specialists
  • Industry 4.0 Innovators and Practitioners
  • Supply Chain Managers
  • Operations Managers
  • Project Managers
  • Finance Managers
  • IT Managers
  • Consultants

Course Outline

Day 1: Industry 4.0 and Its Supply Chain Impact

  • Introduction to Industry 4.0
  • Drivers and Effects of Industry 4.0
  • Incorporating Supply Chain and Logistics in Industry 4.0
  • Envisioning Supply Chain 4.0 and Future Logistics

 

Day 2: Utilizing Big Data in Supply Chain and Logistics

  • Exploring Big Data’s 5 V’s in Supply Chain and Logistics
    • Volume
    • Velocity
    • Variety
    • Value
    • Veracity
  • Identifying Big Data Sources in Supply Chain and Logistics
  • Applying Data-Driven Optimization Techniques
    • K-means
    • Apriori
    • Aykin and Babu Algorithms

 

Day 3: Supply Chain Optimization

  • Framework Focused on Customer Needs
  • Optimizing Sales Operations
  • Enhancing Distribution Efficiency
  • Improving Inventory Management

 

Day 4: Manufacturing Process Optimization

  • Streamlining Product Design and Innovation
  • Enhancing Production Processes
  • Analyzing Logistics Activities with Big Data
  • Utilizing Models for Future Planning

 

Day 5: Integrating Modern Software with ERP Systems

  • Utilizing AnyLogic Cloud
  • AnyLogic and AnyLogistics Interoperability with ERP Platforms
  • Integrating RFID and Vehicle Tracking Systems
  • Accelerating Analysis and Computation through Data Extrapolation

 

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