3D Body Scanning to transform clothing manufacturing to reduce waste

扫描40至70岁女性特定人群的体型，以创建数据，通过创建正确的模式，块和分级规则来帮助开发正确合身的衣服。根据这些数据挑战现有的尺寸框架，以确保适合大多数尺寸形状的范围。评估最适合生产服装的面料的正确使用。通过正确应用尺寸、合身性和面料，我们旨在减少库存和退货，从而减少碳排放。通过节约成本，沿着提高利润率，大大减少废物和进入垃圾填埋场的服装。通过确保优质合身的服装，我们应该能够减少消耗，从而在整个生产过程中保护宝贵的资源，并提高任何物品的生命周期。创造适合这一人群的服装也能改善福祉。

The scanning of body shapes in a specific demographic of women between the ages of 40 and 70 to create data that will assist in the development of correctly fitting clothes through the creation of correct patterns, blocks and grading rules. Challenge the existing framework of sizing from this data to ensure ranges that fit most size shapes. Assess the correct use of fabrics most suitable to the clothes being manufactured.Through the correct application of sizing, fit and fabric, we aim to reduce stock inventory and returned goods which will lead to a reduction in carbon emissions. To greatly reduce waste and clothing going to landfill along with improved margins though cost savings.By ensuring good quality fitting clothes we should be able to reduce consumption and therefore preserve valuable resources throughout the entire production process and improve the lifecycle of any item. Creating clothes to fit this demographic also improves well-being.