Load Optimization Course
This course gives you the methods to load more, faster and more safely. You will learn the objectives and constraints of load optimization, how to plan stowage and loading sequences, how stability, center of gravity and lashing affect safety, how to solve packing and routing problems with quantitative models and heuristics, how to handle dangerous, oversized and perishable cargo, and how to use data, planning software and simulation to implement your plan.
Prior knowledge check
These are the skills this program gives you. Tick the ones you already master and we will tell you which part of the syllabus is for you.
You are starting from scratch in this subject. The program is designed precisely for that.
What is the Load Optimization Course?
This short course prepares you to design and improve loading plans for ships, containers and vehicles. You will study the key concepts of load optimization, cargo types and their constraints, operational and commercial restrictions, packaging and cargo units, cargo–vessel interactions, stowage planning by zones, sequencing by route and destination, stability and center of gravity, lashing and securing, segregation of incompatible goods, bin packing, knapsack and capacitated routing problems, heuristics and metaheuristics, multi-objective optimization and the management of uncertainty.
What sets this course apart: it combines the practical rules of stowage with the quantitative tools that planning software uses, so you understand both the deck and the algorithm; it covers special cases such as dangerous goods, project cargo and the cold chain; it addresses data quality, TMS/WMS and simulation before changes go live; and it ends with an applied project in which you build an evidence-based load optimization plan.
Program highlights
- Optimization fundamentals: objectives, constraints and decision variables.
- Stowage planning: distribution, sequencing, stability and lashing.
- Quantitative methods: 2D/3D bin packing, heuristics and multi-objective trade-offs.
- Special cargo: dangerous goods, project cargo and perishables.
- Digital tools: TMS/WMS, load planners, EDI/API integration and simulation.
- Applied project: an integrated load optimization plan backed by evidence.
Syllabus of the Load Optimization Course
5 modules. Select a module to see its content.
Load optimization fundamentals: operational objectives, technical constraints and decision variables
- 1.1. Key optimization concepts applied to cargo: maximizing utilization, minimizing cost, reducing times and improving safety
- 1.2. Cargo types and their constraints: general, bulk, containers, project, perishable, dangerous and oversized cargo
- 1.3. Operational and commercial constraints: delivery windows, priorities, SLAs, routes, equipment availability and contractual limits
- 1.4. Packaging parameters and cargo units: pallets, ULDs and intermodal units, containers, modules, cubic capacity, density and stowage factor
- 1.5. Critical cargo–vehicle and cargo–ship interactions: compatibility, lashing points, structural limits, access and loading and discharge sequences
Load and stowage planning: distribution, sequencing and design of workable plans
- 2.1. Principles of stowage planning: distribution by zones, compatibility, accessibility and minimizing unproductive moves
- 2.2. Sequencing by route and destination: loading in discharge order, cross-docking, multi-stop and prevention of rehandling
- 2.3. Stability and center of gravity: applied concepts, safety limits, weight control by plan and prevention of tipping and shifting
- 2.4. Lashing and securing: selection of equipment, lashing points, tensions, safety rules and checks before departure
- 2.5. Managing incompatibilities: dangerous goods, segregation, temperature, odors, cross-contamination and fragile cargo
Quantitative and heuristic optimization: methods, models and solving real cases
- 3.1. Typical optimization problems: 2D/3D bin packing, knapsack, capacitated routing, assignment and sequencing
- 3.2. Models and constraints: weight limits by axle or zone, stackability, orientation, fragility, priority and operation times
- 3.3. Applied heuristics and metaheuristics: greedy, first-fit, local search, tabu search, genetic algorithms and stopping criteria with quality control
- 3.4. Multi-objective optimization: cost versus time versus risk versus footprint, weightings, scenarios and sensitivity of results
- 3.5. Managing uncertainty: demand variation, cancellations, delays, damage, overweight and safety buffers
Safe operation, compliance and risk management: damage, incidents and special cargo
- 4.1. Prevention of damage and losses: critical points, handling, protection, marking and quality control at receipt and dispatch
- 4.2. Safety in loading operations: equipment coordination, exclusion zones, communication, work permits and control of maneuvers
- 4.3. Dangerous and regulated cargo: classification, segregation, labeling, documentation, emergencies and operational compatibility
- 4.4. Oversized and project cargo: transport engineering, routes, clearances, reinforcements, lashing and lifting plans
- 4.5. Cold chain and perishables: temperature ranges, maximum times, traceability, control points and contingencies
Digitalization, tools and final project: an integrated load optimization plan with evidence
- 5.1. Data and information quality: item master data, dimensions and weights, tolerances, typical errors and integrity control
- 5.2. Systems and platforms: TMS and WMS, load planners, yard management, EDI and API integration and event traceability
- 5.3. Simulation and operational twins: scenarios, capacity, constraints, testing of changes and evaluation before implementation
- 5.4. Automation and business rules: templates, parameterised constraints, exceptions, approval and audit of decisions
- 5.5. Documentation standards: loading instructions, checklists, photographic evidence, records and version control
Duration and format of the Load Optimization Course
It is 300 hours. Tell us how many you can study each week and we will tell you when you will really finish.
This is the pace at which most students finish. It fits well with the installment plan.
Academic leadership and faculty
The Navalis teaching team: working professionals who teach and supervise the programs.
Dr. Marina AlcoverAcademic Director and Head of Quality Assurance
Eng. Diego CifuentesSenior Lecturer in Naval Welding and Non-Destructive Testing; Head of QA/QC for Welded Joints
Capt. Javier Abaroa (MCA)Senior Lecturer in Ship Handling, Electronic Navigation (ECDIS/Radar/ARPA) and GMDSS; STCW Compliance and Bridge Resource Management Coordinator
Dr. Pau FerrerSenior Lecturer in Naval Architecture and Simulation; Director of the Hydrodynamics and CFD Laboratory
Dr. Nuria LlobregatSenior Lecturer in Marine Meteorology, SAR and Operational Safety; Navigation Risk Management Coordinator
Eng. Javier BañulsSenior Lecturer in Electrical Engineering, Automation and ETO Engineering; Electronic Integration and Engine Alarms Coordinator
Eng. Sofía MarquinaSenior Lecturer in Materials, Composites and Corrosion Protection; Coordinator of the Advanced Paints and Coatings Line
Eng. Tomás RieraSenior Lecturer in Propulsion, Alternative Energy and Hybrid Systems; Energy Performance and Vibration CoordinatorObjectives of the Load Optimization Course
Career opportunities after the Load Optimization Course
Questions about the Load Optimization Course
To minimize transport costs and improve logistics efficiency while respecting capacity, safety and delivery constraints.
Yes. The principles apply to ships, containers and road vehicles, and the course works with examples from all of them.
No. The quantitative module explains the models and heuristics in an applied way, focusing on how to formulate problems and interpret results rather than on proofs.
Yes. The course covers classification, segregation, labeling, documentation and emergency arrangements for dangerous and regulated cargo, together with project cargo and perishables.
You prepare an integrated load optimization plan for a real or simulated operation, with data, constraints, a proposed method, simulation of scenarios and documentation standards.
Fully online, through a virtual campus available 24/7, with live sessions that are recorded and tutorials with the teaching staff.
The course comprises 300 hours of study across 5 modules of about 60 hours each and ends with an applied project. You can progress at your own pace within the schedule set when you enroll.
More programs in Cargo and logistics
Admission process
No waiting for a call back. If your documents are in order, you can enroll in the same session.
- Profile: aimed at logistics, warehouse and transport managers who want to reduce damage, optimize space and speed up loading, loading and discharge supervisors, lifting equipment operators, purchasing and supply staff, and logistics and transport students; training in logistics, transport or industrial engineering, or proven experience in warehouse management and load optimization, is recommended.
- Language: sufficient command of English to follow the classes and the technical documentation.
- Technical resources: a computer with a stable internet connection, an up-to-date browser and a spreadsheet application; access to load planning or simulation software is useful but not essential.
- Admission: online application, review of your profile and a short interview with the academic team.
- 01ApplicationYour details, background and documents.
- 02Instant reviewWe check that everything is complete and in order.
- 03EnrollmentChoose full payment or instalments and reserve your place.
Admission is provisional until the committee validates the documents provided. If you do not meet the requirements, the full amount is refunded.
Ask us before you enroll
Leave your details and admissions will write to you to answer any questions. If you are already sure, you can apply and pay in the same session.