Road Transport & Fleet Optimization: Data-Driven Logistics Management

What you will learn:

Master strategic fleet capacity planning for efficient road transportation networks.
Optimize carrier selection and manage logistics offers effectively for cost efficiency.
Develop daily truck delivery schedules with a focus on fuel economization and sustainability.
Integrate aggregate production planning with comprehensive transportation strategies.
Utilize geographical mapping and data clustering with Orange for advanced logistics analysis.
Conduct large-scale optimization modeling using OpenSolver within Excel for complex problems.
Implement advanced multi-drop shipment strategies using OpenSolver in Excel to maximize delivery efficiency.

Description

Embark on a transformative journey to elevate your road transport and logistics management capabilities. This immersive online course empowers you to harness the full potential of data and advanced analytical tools, turning complex operational hurdles into streamlined, cost-effective optimization models. Whether you are an aspiring logistics professional, a seasoned operations analyst, or a manager focused on supply chain efficiency, this program equips you with the practical skills to make smarter, data-driven decisions.

You will gain invaluable hands-on experience working directly with industry-leading software: master Excel Solver for complex linear programming, push boundaries with OpenSolver for large-scale challenges, unlock insights with Orange for Data Mining, and leverage Google Sheets for collaborative data management. The emphasis is firmly on real-world problems, actionable models, and tangible optimization strategies that you can implement within your organization from day one, delivering immediate value and enhancing competitive advantage.

Key Features That Set This Course Apart:

Experience 100% practical, tool-centric learning, focusing on immediate applicability rather than abstract theories.
Engage with authentic industry use cases and robust hands-on exercises designed to mirror real-life transport scenarios.
Solidify your understanding with 2 practical quizzes and apply your knowledge through 2 in-depth, real-world assignments.
Benefit from over 7 hours of highly interactive, expert-led instruction, ensuring a deep and lasting comprehension.
Acquire a diverse skill set encompassing optimization techniques, crucial data mining, and advanced geographical mapping—all integrated for holistic logistics mastery.

Who Should Enroll in This Essential Training:

Supply Chain & Logistics Professionals seeking to enhance their analytical prowess and implement cutting-edge optimization solutions.
Transportation Planners and Fleet Managers who aspire to transition from reactive management to proactive, data-informed decision-making.
Operations Researchers and Analysts eager for practical, applied experience using powerful tools like Excel Solver and Orange in a logistics context.
Industry Practitioners committed to bridging the gap between theoretical knowledge and the application of real-world transport optimization strategies.

Ready to redefine your logistics strategy and drive operational excellence? Join our community of learners and start building powerful optimization models that create a measurable difference—from smarter fleet capacity planning and strategic carrier selection to advanced data-driven route and delivery network optimization.

Curriculum

Introduction

This foundational module provides a warm welcome and thoroughly introduces the course, outlining its structure, learning objectives, and the key tools that will be utilized. Learners will get acquainted with the instructor and gain a clear understanding of the comprehensive content ahead, setting the stage for a practical and insightful learning experience.

Trucks capacity planning

Dive deep into the strategic world of truck capacity planning for road transportation. This extensive section covers fundamental definitions, explores diverse logistics technologies like Vendor Managed Inventory, e-ordering, and real-time tracking, and analyzes real-world supply chain scenarios. You'll master statistical methods for forecasting demand, identifying seasonality and outliers, and optimizing truck alignment. The module culminates in understanding crucial KPIs for fleet scheduling, a practical on-time delivery demonstration, and a quiz to test your mastery.

Geocoding and segmentation

Unlock advanced geographical insights for transport planning and customer segmentation. This module teaches practical geocoding using Google Sheets, distance calculation with the Haversine formula, and creating detailed distance matrices in Excel. A significant focus is placed on using Orange for data mining, covering installation, interface navigation, visualizing transport data on maps, performing K-means clustering, and creating choropleth maps. You'll also explore time series analysis and critical backhauling strategies, including their implementation in Excel, reinforced by a concluding quiz.

Quick Intro to optimization in excel

Establish a strong foundation in optimization with Excel. This introductory chapter clearly outlines its content, providing a comprehensive overview of optimization principles. Through practical solver demonstrations, you'll tackle problems like facility allocation across multiple parts and master the transshipment problem from formulation to solution. The module also introduces OpenSolver for handling larger models, culminating in a practice test and its detailed solution to solidify your Excel optimization skills.

Offer selection from logistics providers

Master the art of strategic carrier selection and logistics offer management. This module delves into essential criteria for selecting providers, understanding the bidding process, and effectively utilizing supplier data. You'll learn to build optimization models for minimum cost solutions under various real-world constraints, including limited capacity, specific service levels, fixed costs, and conditional tonnage. Advanced topics such as volume discounts (both standard and marginal) and complex combinatorial bids are also thoroughly explored, equipping you with robust freight procurement strategies.

Transport planning-Daily transport

Optimize your daily transport operations for maximum efficiency and cost savings. This module introduces core concepts in transport planning optimization, guiding you through model presentations from small-scale solver examples to larger, more intricate scenarios using OpenSolver. You'll learn to configure and interpret OpenSolver parameters, understand solution results, and apply specific operational constraints like setting the number of allowed trips per truck. A practical scheduling practice exam concludes the module, providing hands-on application of learned optimization techniques.

Aggregate production and transport planning

Integrate production decisions with transportation logistics through advanced aggregate planning. This section introduces the problem, guides you through its orientation and systematic formulation, and provides practical exercises for solving initial problems. You'll learn to make strategic decisions on factory allocation, evaluate expected service levels, and find the optimal balance between cost efficiency and service targets. The module culminates in analyzing a complex scenario involving an aggregate plant with the addition of a new facility, offering a holistic perspective on supply chain optimization.

Multi-drop shipments

Master the complexities of multi-drop shipments for efficient last-mile delivery. This module introduces the concept through a detailed case demonstration, guiding you in formulating objective functions and understanding flow constraints. You'll extensively cover setting up supply and demand constraints within optimization models and practically apply this knowledge by solving multi-drop models, including scenarios with multiple vehicles. The module concludes with a comprehensive practice exam covering the entire course content, providing a final opportunity to consolidate all learned optimization skills.

Keip

This concluding section provides an insightful introduction to KEIP (Key Enterprise Information Platform or a related business concept), outlining its purpose and potential utility in modern logistics. It also includes a detailed pitch deck, offering a strategic overview or a business case related to the broader themes of the course or an associated enterprise.

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