The Power Couple of Decision Science: Integrating Simulation and Optimisation
In the world of complex decision-making, organisations often rely on two distinct tools. On one hand, there is Simulation (‘What happens if…?’), allowing us to model uncertainty and test scenarios. On the other, there is Optimisation (‘What is the best choice?’), allowing us to find the ideal solution within constraints. Separately, they are powerful. But…
Bold Choices in an Uncertain World
Why Gurobi’s Latest Keynote is a Blueprint for Antifragility In the current landscape of supply chain and operational planning, the search for certainty is a losing battle. Yet, many organisations still build their strategies around static forecasts, hoping the world will comply with their spreadsheets. At the recent EMEA Gurobi Summit in Vienna, a different…
Planning Your Career? Join Decision Lab at the OR Society’s Virtual Careers Week 2025
We are thrilled to announce that Decision Lab will be speaking at The OR Society’s upcoming Virtual Careers Week (11-13 November 2025). This online event is a key date for students and graduates in Operational Research, data science, and analytics who are looking to plan their next steps and connect with leading employers. We invite…
Trust in AI systems
By Anahita Bilimoria, Decision Lab Innovation Practice Lead An essential framework for Responsible AI Deployment In this blog post, we dive deeper into the AI TRiSM principle of Trust. Together, the principles of AI TRiSM (Trust, Risk, and Security Management) add transparency, understandability, and reliability to our AI systems. Continuing from our previous blog on AI…
Your Supply Chain Was Built for Yesterday’s World. Here’s the Playbook for Tomorrow’s
As a supply chain leader, you’re judged on one thing: your ability to guarantee outcomes in a world that offers none. For years, the accepted strategy was resilience—building a fortress to withstand disruption. But the old playbook is failing. You see the cracks every day. You’re the one who has to: Continuing to invest in…
