Training Course on Logistics and Supply Chain Management

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Training Course on Logistics & Supply Chain Management equips professionals with in-demand skills in inventory management, transportation, procurement, and digital transformation.

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Training Course on Logistics and Supply Chain Management

Course Overview

Training Course on Logistics & Supply Chain Management

Introduction

In today's rapidly evolving global economy, efficient logistics and supply chain management have become vital to the success of businesses across all industries. Training Course on Logistics & Supply Chain Management equips professionals with in-demand skills in inventory management, transportation, procurement, and digital transformation. Through real-world case studies and hands-on modules, participants will gain practical knowledge to optimize operational efficiency, reduce costs, and improve service levels within complex supply chains.

 

The course is structured to reflect industry best practices, leveraging current trends such as artificial intelligence, automation, blockchain, and sustainability in supply chain operations. Participants will also explore risk mitigation strategies, supply chain analytics, and green logistics to adapt to modern challenges. By the end of this course, learners will be empowered to implement data-driven decisions, improve supply chain visibility, and contribute to organizational growth.

Learning Objectives

  1. Understand the fundamentals of supply chain management and logistics systems.
  2. Analyze global logistics trends and international trade regulations.
  3. Apply inventory management techniques for cost optimization.
  4. Master procurement strategies for supplier relationship and contract management.
  5. Integrate logistics technology such as AI, IoT, and RFID into supply chain operations.
  6. Assess the impact of supply chain risk management and resilience planning.
  7. Explore sustainable supply chain practices and green logistics solutions.
  8. Evaluate transportation management systems (TMS) for improved delivery performance.
  9. Implement data analytics and KPIs to track supply chain performance.
  10. Understand the role of warehouse automation and smart logistics hubs.
  11. Develop end-to-end visibility and real-time tracking capabilities.
  12. Apply blockchain solutions for supply chain transparency and security.
  13. Design strategic supply chain frameworks for business continuity and scalability.

Target Audiences

  1. Supply Chain Managers
  2. Logistics Coordinators
  3. Procurement Officers
  4. Operations Managers
  5. Warehouse Supervisors
  6. Business Analysts
  7. Manufacturing Executives
  8. Entrepreneurs and Startups in Logistics

Course Duration: 5 days

Course Modules

Module 1: Introduction to Logistics & Supply Chain Management

  • Overview of supply chain networks
  • Key logistics functions and flows
  • Understanding SCOR model
  • Role of logistics in value creation
  • Key players in the supply chain
  • Case Study: Amazon’s Global Supply Chain Model

Module 2: Inventory and Warehouse Management

  • EOQ and JIT systems
  • Demand forecasting methods
  • Warehouse layout and design
  • Inventory control techniques
  • Technology in inventory management
  • Case Study: Zara's Fast Fashion Inventory Strategy

Module 3: Procurement and Supplier Relationship Management

  • Strategic sourcing methods
  • Supplier evaluation and selection
  • Contract negotiation techniques
  • Cost and value analysis
  • Procurement digitization
  • Case Study: Toyota’s Supplier Partnership Model

Module 4: Transportation and Distribution Planning

  • Modes of transport and cost factors
  • Route optimization strategies
  • Last-mile delivery innovations
  • Fleet management systems
  • Third-party logistics (3PL)
  • Case Study: UPS's Route Optimization and Delivery Efficiency

Module 5: Technology and Digital Transformation in Logistics

  • Blockchain applications
  • Artificial intelligence and machine learning
  • Internet of Things (IoT) in logistics
  • Real-time tracking systems
  • Automation and robotics in logistics
  • Case Study: DHL’s Smart Logistics Solutions

Module 6: Risk Management and Supply Chain Resilience

  • Identifying supply chain vulnerabilities
  • Risk mitigation planning
  • Building resilience into operations
  • Crisis management frameworks
  • Disruption response models
  • Case Study: COVID-19's Impact on Global Supply Chains

Module 7: Sustainability and Green Logistics

  • Sustainable transportation strategies
  • Eco-friendly packaging
  • Circular supply chain design
  • Carbon footprint reduction
  • Government regulations and compliance
  • Case Study: Unilever’s Sustainable Supply Chain Practices

Module 8: Performance Measurement and Supply Chain Strategy

  • Key performance indicators (KPIs)
  • Balanced scorecard application
  • Cost-to-serve analysis
  • Benchmarking and performance dashboards
  • Strategic alignment of logistics goals
  • Case Study: Walmart’s Supply Chain Efficiency Metrics

Training Methodology

  • Interactive lectures using visual presentations
  • Group activities and simulation exercises
  • Real-life case study analysis
  • Quizzes and knowledge checks after each module
  • Access to digital learning platform with downloadable resources
  • Post-training action plans and feedback assessments

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.

Course Information

Duration: 5 days
Location: Nairobi
USD: $1100KSh 90000

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