Mallennus

Mallennus is the Finnish term for the practice of creating models that represent real objects, systems, or processes for analysis, design, communication, and simulation. Models may be physical constructs, digital representations, or mathematical abstractions, and they are used to understand behavior, test hypotheses, and communicate complex ideas more clearly than raw data alone.

In engineering, architecture, software development, urban planning, education, and product design, mallennus enables exploration of alternatives, risk assessment, and informed decision-making. Digital models support simulations of performance under different conditions, while physical models allow tactile evaluation and demonstration in meetings and classrooms.

A typical mallennus workflow begins with defining the purpose and scope, selecting the model type, and gathering relevant data. The model is then constructed, parameterized, and validated by comparing outputs to real-world observations. Once validated, the model can be used for analysis, optimization, or communication, and it is revised as new data become available.

Common forms include physical scale models, digital 3D models created with CAD tools, and mathematical or simulation models such as parametric, agent-based, or system-dynamics models. With advances in computing and data collection, data-driven and generative modeling approaches have become increasingly prevalent.

Related topics include modeling in general, simulation, digital twins, prototyping, and data modeling.