📝 General Introduction

In today’s rapidly evolving global economy, supply chains have become increasingly complex, requiring organizations to rethink and redesign their logistics operations to stay competitive. Logistics process engineering is the strategic discipline that focuses on analyzing, optimizing, and integrating logistics workflows to ensure efficiency, agility, and resilience.

It involves applying engineering principles to the movement of goods, data, and resources across the supply chain. This workshop is designed to equip professionals with the skills and tools needed to engineer logistics processes that align with modern supply chain demands.

Over five days, participants will explore process mapping, performance metrics, lean methodologies, digital integration, and strategic alignment. Through hands-on exercises and real-world case studies, attendees will learn how to eliminate waste, improve flow, enhance visibility, and support decision-making. Whether you're in manufacturing, distribution, or retail, mastering logistics process engineering is essential for building a future-ready supply chain.

🎯 Target Audience

• Supply chain and logistics managers
• Process engineers and operations analysts
• Warehouse and distribution supervisors
• ERP and systems integration specialists
• Entrepreneurs in manufacturing, retail, and e-commerce

🎯 Expected Objectives

• Understand the principles of logistics process engineering
• Map and analyze logistics workflows across supply chain stages
• Identify inefficiencies and apply improvement techniques
• Integrate digital tools to enhance process visibility and control
• Align logistics operations with strategic supply chain goals

📚 Scientific Topics:

Axis 1: Foundations of Logistics Process Engineering

Session 1: Introduction to Logistics Engineering

• Definition and scope of logistics process engineering
• Role in modern supply chain performance
• Key challenges and trends

Session 2: Process Thinking in Logistics

• Systems approach to logistics
• Identifying core and support processes
• Linking logistics to value creation

Axis 2: Process Mapping and Analysis

Session 1: Mapping Logistics Workflows

• Flowcharting and process diagrams
• Identifying bottlenecks and redundancies
• Visualizing material and information flow

Session 2: Performance Metrics and KPIs

• Cycle time, lead time, and throughput
• Inventory turnover and order accuracy
• Service level and cost efficiency indicators

Axis 3: Optimization and Lean Logistics

Session 1: Applying Lean Principles

• Waste identification in logistics
• 5S and visual management
• Continuous flow and pull systems

Session 2: Process Improvement Techniques

• Root cause analysis and Kaizen
• Value stream mapping
• Standardization and best practices

Axis 4: Digital Integration and Automation

Session 1: Smart Logistics Technologies

• IoT, RFID, and real-time tracking
• Warehouse Management Systems (WMS)
• Transportation Management Systems (TMS)

Session 2: Data-Driven Process Control

• Using dashboards and analytics
• Predictive modeling and simulation
• Integrating ERP with logistics workflows

Axis 5: Strategic Alignment and Future Trends

Session 1: Logistics Strategy and Supply Chain Goals

• Linking operations to business strategy
• Agile and responsive logistics models
• Risk management and resilience planning

Session 2: Emerging Trends in Logistics Engineering

• Sustainability and green logistics
• AI and machine learning applications
• Collaborative and decentralized supply chains