Work

Simulation-based multi-objective optimization combined with a DHM tool for occupant packaging design

Year: 2025

Type: article

Abstract: Occupant packaging design is usually done using computer-aided design (CAD) and digital human modelling (DHM) tools. These tools help engineers and designers explore and identify vehicle cabin configurations that meet accommodation targets. However, studies indicate that current working methods are complicated and iterative, leading to time-consuming design procedures and reduced investigations of the solution space, in turn meaning that successful design solutions may not be discovered. This paper investigates potential advantages and challenges in using an automated simulation-based multi-objective optimization (SBMOO) method combined with a DHM tool to improve the occupant packaging design process. Specifically, the paper studies how SBMOO using a genetic algorithm can address challenges introduced by human anthropometric and postural variability in occupant packaging design. The investigation focuses on a fabricated design scenario involving the spatial location of the seat and steering wheel, as well as seat angle, taking into account ergonomics objectives and constraints for various end-users. The study indicates that the SBMOO-based method can improve effectiveness and aid designers in considering human variability in the occupant packaging design process.

Source: International Journal of Industrial Ergonomics

DOI: 10.1016/j.ergon.2024.103690

Authors: Estela Perez Luque, Aitor Iriondo Pascual, Dan Högberg, Maurice Lamb, Erik Brolin

Institution: University of Skövde

Language: English

Topic: Ergonomics and Musculoskeletal Disorders

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: hybrid

Estimated APC paid: $2,990

Funder: Stiftelsen för Kunskaps- och Kompetensutveckling