Robinette Kathleen M, Veitch Daisy
Oklahoma State University, Stillwater
Delft University of Technology, the Netherlands.
Hum Factors. 2016 Aug;58(5):657-64. doi: 10.1177/0018720816649091. Epub 2016 May 26.
To provide a review of sustainable sizing practices that reduce waste, increase sales, and simultaneously produce safer, better fitting, accommodating products.
Sustainable sizing involves a set of methods good for both the environment (sustainable environment) and business (sustainable business). Sustainable sizing methods reduce (1) materials used, (2) the number of sizes or adjustments, and (3) the amount of product unsold or marked down for sale. This reduces waste and cost. The methods can also increase sales by fitting more people in the target market and produce happier, loyal customers with better fitting products. This is a mini-review of methods that result in more sustainable sizing practices. It also reviews and contrasts current statistical and modeling practices that lead to poor fit and sizing. Fit-mapping and the use of cases are two excellent methods suited for creating sustainable sizing, when real people (vs. virtual people) are used. These methods are described and reviewed. Evidence presented supports the view that virtual fitting with simulated people and products is not yet effective.
Fit-mapping and cases with real people and actual products result in good design and products that are fit for person, fit for purpose, with good accommodation and comfortable, optimized sizing. While virtual models have been shown to be ineffective for predicting or representing fit, there is an opportunity to improve them by adding fit-mapping data to the models. This will require saving fit data, product data, anthropometry, and demographics in a standardized manner. For this success to extend to the wider design community, the development of a standardized method of data collection for fit-mapping with a globally shared fit-map database is needed. It will enable the world community to build knowledge of fit and accommodation and generate effective virtual fitting for the future.
A standardized method of data collection that tests products' fit methodically and quantitatively will increase our predictive power to determine fit and accommodation, thereby facilitating improved, effective design. These methods apply to all products people wear, use, or occupy.
综述可持续尺码设定方法，这些方法可减少浪费、增加销售额，并同时生产出更安全、更合身、更舒适的产品。
可持续尺码设定涉及一系列对环境（可持续环境）和企业（可持续业务）都有益的方法。可持续尺码设定方法可减少：（1）所用材料；（2）尺码数量或调整次数；（3）未售出或打折销售的产品数量。这可减少浪费和成本。这些方法还可通过使目标市场中更多人合身来增加销售额，并通过更合身的产品培养更满意、更忠诚的客户。这是对可实现更可持续尺码设定方法的小型综述。它还回顾并对比了当前导致合身性和尺码设定不佳的统计和建模方法。当使用真实的人（而非虚拟人）时，合身映射和案例应用是两种适合创建可持续尺码设定的优秀方法。本文对这些方法进行了描述和综述。所提供的证据支持这样的观点，即使用模拟的人和产品进行虚拟合身尚未有效。
使用真实的人和实际产品进行合身映射和案例应用可带来良好的设计和产品，这些产品合身、适用、舒适且尺码优化。虽然虚拟模型已被证明在预测或表示合身性方面无效，但有机会通过向模型添加合身映射数据来改进它们。这将需要以标准化方式保存合身数据、产品数据、人体测量数据和人口统计数据。为使这一成功扩展到更广泛的设计社区，需要开发一种用于合身映射的数据收集标准化方法以及一个全球共享的合身映射数据库。这将使全球社区能够积累合身性和舒适性知识，并为未来生成有效的虚拟合身。
一种系统地、定量地测试产品合身性的数据收集标准化方法将提高我们确定合身性和舒适性的预测能力，从而促进改进有效的设计。这些方法适用于人们穿着、使用或占据的所有产品。
