DHM-driven quantitative assessment model of activity posture in space-restricted accommodation cabin

To solve the quantitative problem of sleeping activity posture in space-restricted accommodation cabins, a comprehensive assessment model was constructed with ergonomics simulation technology as well as sleeping activity and behavioral posture. Sleeping behavioral types were integrated and analyzed through observational surveys by combining activity theory and hierarchical task analysis. We constructed digital human models (DHMs) assisted by JACK software and followed the methodology of design constraint extraction and construction, comfort-oriented ergonomic simulation evaluation and inference, and data-driven decision-making. We simulated five phases of sleeping experience and evaluated these crews’ sleeping-related postures (including head, neck, shoulders, elbows, torso, and hips) through seven DHM simulation tools. These simulation assessment data were synthesized using multiple attribute decision-making (MADM) methods (AHP-TOPSIS method vs. GRA-VIKOR method). When exploring the assessment model application on the example of a ship's accommodation cabin, this work shows that alternative S3 is optimal, and the ranking of GRA-VIKOR method is in line with the actual. The evaluation results based on MADM methods are consistent with the analysis of variance test. In summary, DHM-driven quantitative assessment model can be used to realize preferred design decision-making and provide further guidance for manned cabin ergonomics optimization.