Optimization of product dimensions for discrete sizing applied to a tool handle

Handle performance plotted vs. the number of sizes.

Measuring the accommodation of a population across multiple sizes is shown to be a two-step process consisting of an assessment of performance for an individual followed by a comparison of that performance with an established standard across the population (i.e., in the current work, a term called grip quality, Q, is assessed for each user in a virtual population, and then all users with Q ≥ 0.95 are considered to be accommodated).

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A real options-based approach to designing for changing user populations of long-lifetime products

Accommodation levels for the unchanged, obese, and gender split population scenarios over the 31-year lifetime of the truck. Accom- modation is tracked for nine different decisions concerning the x-directional minimum seat position and seat adjustability.

In addition to robustness-related considerations, designers of long-lifetime products (e.g., freight trucks and commercial aircraft) must also account for possible secular and demographic trends and their impacts on the ranges of anthropometry, capability, and preference of user populations. However, the uncertainty associated with forecasts of these trends complicates the decision-making process of the designer. One of the decisions to be

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Probability of user fit for spatially optimized products

Probability of accommodation in design space for various limits on adjustability. Darker shades indicate adjustment limits with higher levels of predicted accommodation. The 1000- member virtual population is overlaid atop the contours.

This study offers a new method for understanding the likelihood of acceptable fit for users of adjustable products and environments and is a useful tool for aiding the designer in making decisions about problems involving human variability.

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Considering secular and demographic trends in designing long lifetime products for target user populations

The expected accommodation levels for four different design approaches to long-lifetime heavy trucks.

The objective of this study is to investigate the effects of design decisions on the accommodation afforded by long lifetime products over extended periods of time–and to then make recommendations to improve performance with respect to changes in the user population.

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Considering race and gender distributions of the target user population in the multivariate design of vehicle seating

Popliteal height vs. seated hip breadth for 1000 drivers.

The results obtained through univariate analysis are compared with those of multivariate analysis, demonstrating that applying univariate analysis to a multivariate problem leads to misleading results and poor estimates of accommodation. In contrast, multivariate analysis provides the opportunity for tradeoff studies as many parameter combinations can achieve the desired accommodation level.

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