Andymus Consulting provides a range of simulation solutions to meet the range of requirements for business and industy.
Please Contact Us to discuss the requirements have and how we can build value collaboratively.
Computational Fluid Dynamics (CFD)
Computational Fluid Dynamics (CFD) uses numerical methods to simulate fluid flow, heat transfer, and related physical phenomena within complex systems. By modelling real operating conditions, CFD provides insight into performance limitations, inefficiencies, and risks that are difficult or impractical to identify through physical testing alone.
At Andymus Consulting, CFD is applied to support design optimisation, operational improvement, and risk reduction across asset‑intensive industries. We analyse flow behaviour, pressure losses, thermal performance, mixing, and transient effects using fit‑for‑purpose models grounded in engineering judgement and operational context.
Typical applications include design verification, troubleshooting, and scenario testing prior to capital or operational decisions.
Logistics & Value Chain
Logistics and value chain simulation uses discrete event and operations research techniques to model the movement of materials, products, and resources through complex systems. These models explicitly represent real‑world constraints such as capacity limits, variability, queues, and scheduling rules.
At Andymus Consulting, logistics and value chain simulations support capacity planning, debottlenecking, network design, and operational resilience. We work across bulk materials handling, terminals, ports, warehousing, transport, and supply chains to test “what‑if” scenarios and quantify trade‑offs before change is implemented.
Typical applications include design verification, troubleshooting, and scenario testing prior to capital or operational decisions.
Finite Element Analysis
Finite Element Analysis (FEA) is a numerical technique used to assess the structural behaviour of components, equipment, and systems under real‑world loading conditions. By discretising complex geometries into finite elements, FEA enables detailed evaluation of stresses, strains, deflections, fatigue life, and potential failure modes.
At Andymus Consulting, FEA supports design verification, asset integrity, life‑extension assessments, and risk reduction. Analyses cover static, dynamic, thermal, and coupled load cases, and may be integrated with CFD or system‑level models where required.
Typical applications include design verification, troubleshooting, and scenario testing prior to capital or operational decisions.
Process Simulation & Networks
Process simulation represents industrial processes by modelling material properties, reactions, energy flows, and system interactions under steady‑state and dynamic conditions. These models provide a structured way to understand process behaviour, operating envelopes, and system interactions across complex facilities and networks.
At Andymus Consulting, process simulation is used to support design, optimisation, debottlenecking, and operational decision‑making in process and energy‑intensive industries. Models are developed to balance fidelity with usability and may be integrated with logistics, CFD, or economic models for system‑level insight.
Typical applications include design verification, troubleshooting, and scenario testing prior to capital or operational decisions.
Data Science Approaches
Data science applies statistical analysis, advanced analytics, and machine learning to extract insight from complex and often imperfect data sets. When grounded in domain knowledge, these techniques enable predictive and prescriptive insights that extend beyond traditional reporting.
At Andymus Consulting, data science is applied with a strong focus on engineering context, transparency, and responsible use. We develop explainable, auditable models that support forecasting, performance optimisation, and risk management, often integrated with simulation and decision‑support frameworks. Governance, traceability, and interpretability are treated as design requirements, not afterthoughts.
Typical applications include design verification, troubleshooting, and scenario testing prior to capital or operational decisions.
Bespoke Models, Scripts & Simulation
When off‑the‑shelf tools are insufficient or difficult to adapt, bespoke models and simulations can be developed to represent the specific behaviour of an asset, system, or decision problem. These solutions enable custom logic, automation, and integration tailored to real operational needs.
At Andymus Consulting, bespoke models and scripts are developed to address unique challenges, automate analysis workflows, and protect valuable intellectual property. Solutions range from lightweight analytical tools to secure, cloud‑hosted simulation environments designed for reliability and maintainability.
Typical applications include design verification, troubleshooting, and scenario testing prior to capital or operational decisions.
Please Contact Us to discuss any of your simulation solution requirements.