Global Learning for Operational Leaders
Classroom
16 sessions
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Online / Live
16 sessions
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Introduction
Course overview
Operations decisions about capacity, inventory, scheduling and logistics involve complex trade-offs. Optimisation and analytics models help find better solutions than intuition alone.
This Aractech course covers operations analytics, linear programming, optimisation with spreadsheet solvers, simulation, inventory models, scheduling and routing problems, and communicating model results. Participants build optimisation models for business cases.
What you will achieve
Learning objectives
- Explain operations analytics and optimisation concepts
- Formulate linear programming models
- Solve optimisation problems with spreadsheet tools
- Use simulation for uncertain processes
- Apply inventory and scheduling models
- Communicate model results to decision-makers
Who should attend
Target audience
- Operations analysts
- Supply chain planners
- Industrial engineers
- Business analysts
- Operations managers
- Consultants
Methodology
Learning approach
- Model-building labs
- Case studies
- Solver exercises
- Simulation exercises
- Presentations
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
Day 1
Operations Analytics
- Role of analytics
- Decision models
- Data requirements
- Coffee break
- Data requirements (continued)
- Use cases
- Exercise: Problem framing
Day 2
Linear Programming
- Formulation
- Constraints and objectives
- Solver use
- Coffee break
- Solver use (continued)
- Sensitivity analysis
- Lab: Production planning model
Day 3
Simulation
- Simulation concepts
- Monte Carlo
- Queueing
- Coffee break
- Queueing (continued)
- Scenario analysis
- Lab: Capacity simulation
Day 4
Inventory and Scheduling
- Inventory models
- Safety stock
- Scheduling
- Coffee break
- Scheduling (continued)
- Routing
- Lab: Inventory optimisation
Day 5
Communicating Results
- Presenting models
- Limitations
- Implementation
- Coffee break
- Implementation (continued)
- Model governance
- Capstone: Optimisation case
FAQ
Frequently asked questions
What does Operations Analytics and Optimisation Models (DMBI-037) cover?
This course covers Data Management and Business Intelligence through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 9 - 13 November 2026. See the course schedules section for the available dates and delivery formats.
Who should attend this course?
Operations analysts, Supply chain planners, Industrial engineers
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include Barcelona, Rome, Kuala lumpur, Paris, Frankfurt, Geneva, Amsterdam, London, Istanbul, Vienna.
How long is the training programme?
The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).
Quick request
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Choose an available date and venue, add your participants, and we will email a formal quotation for Operations Analytics and Optimisation Models to your business address.