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Descriptions
Behind The Wheels: Management of Logistics Road Transport, Master road transport logistics management and fleet optimization through practical quantitative modeling techniques. In this thorough tutorial, you will understand to build fleet, carrier, and route models using Excel Solver, OpenSolver, Orange Data Mining, and AnyLogic simulation. You will explore multi-criteria carrier selection, production and transport integration, geographical clustering, and capacity planning to minimize transportation costs and empty mileage while maintaining high service levels.
Through hands-on projects, you will apply data mining techniques to identify cost patterns, optimize multi-drop shipment routes, and construct agent-based simulations of dispatch operations. By the end of this class, you will possess the model-backed decision-making skills needed to present quantified logistics strategies to management and manage large-scale transport networks effectively.
What you’ll study
- Design multi-criteria carrier selection models for tenders, RFQs, and contract awards
- Apply data mining to uncover cost patterns and performance anomalies in transport data
- Integrate production planning with transport to balance cost, capacity, and service levels
- Map and cluster delivery zones geographically to reduce empty mileage and improve routing
- Solve large-scale logistics models with OpenSolver beyond Excel’s constructed-in variable limits
- Present model-backed transport decisions to management with clear, quantified justifications
- Build an animated AnyLogic simulation of a road transport network and run scenario experiments
- Develop route plans with Google Sheets and InstaMaps
Who this tutorial is for
- Transport and fleet managers
- Procurement and tender managers
- Supply chain and logistics analysts
- Scheduling and planning managers
- Operations researchers and analysts
- Logistics students and career changers
Specificatoin of Behind The Wheels: Management of Logistics Road Transport
- Publisher : Udemy
- Teacher : Haytham Omar-Ph.D
- Language : English
- Level : All Levels
- Number of Program : 126
- Duration : 9 hours and 37 minutes
Requirements
- Comfortable using Microsoft Excel basic formulas and functions. No programming or coding experience is required at any point in this class.
- A computer with Microsoft Excel installed. Students without a licence are fully supported Google Sheets and OpenSolver alternatives are covered in the training.
- Basic familiarity with logistics or transport concepts is helpful but not required every module opens with first-principles context before the modelling begins.
- Orange Data Mining and AnyLogic Personal Learning Edition are both gratis step-by-step configuration is provided at the start of each relevant module.
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What Is Udemy Behind The Wheels Management Of Logistics Road Transport. 2026?
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