Turn complex problems into models that can be evaluated and solved
Applied mathematics
MNC Analytics applies mathematical reasoning to problems involving uncertainty, constraints, interacting systems and competing objectives. We translate business and engineering questions into explicit models, then develop the computational methods needed to investigate them.
Our work supports decisions such as how to allocate resources, configure a process, estimate an unmeasured quantity or assess the consequences of a proposed change. Mathematical services can be commissioned independently or integrated into software, sensing and control systems.
What we offer
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Develop models for scheduling, routing, resource allocation, production planning, inventory and network design using suitable linear, nonlinear, integer or multi-objective methods.
Apply stochastic and robust optimisation, scenario analysis and sensitivity studies to examine how decisions perform under different conditions.
Design sampling plans and experiments, estimate parameters and quantify uncertainty. Investigate causal effects where the study design and evidence support them.
Model the behaviour of mechanical, thermal, electrical and other time-dependent systems using differential equations and state-space representations.
Develop computational solvers and simulation workflows, assessing convergence, stability and numerical error.
Estimate hidden states, physical parameters or system characteristics from observations, while assessing the limits of what can be inferred.
Analyse failure processes, queues, uncertain events and dependent risks using probabilistic models and simulation.
Examine flows, connectivity, bottlenecks and resilience across interconnected systems.
Build efficient approximations of computationally expensive models for repeated analysis, rapid evaluation or operational use.
What this enables
A defensible basis for comparing alternatives, understanding trade-offs and selecting feasible actions. Outputs may include mathematical specifications, optimisation engines, numerical solvers, simulation models and uncertainty assessments.
Related work
All workA hydraulic model and a mixed-integer optimiser schedule pumps against tariff periods and reservoir constraints, cutting energy cost while keeping storage within agreed limits.
A vehicle routing optimiser with time windows, vehicle types and driver rules produces daily plans that planners adjust, reducing kilometres and overtime while keeping delivery windows.
Contact
You may have a defined project, an underperforming process or a technical question that needs investigation. We can help assess the challenge, identify the information required and define an appropriate next step.