3D Body Scanning to transform clothing manufacturing to reduce waste

扫描年龄在40到70岁之间的特定女性的体型，以创建数据，通过创建正确的模式，块和评分规则来帮助开发正确合身的衣服。从这些数据中挑战现有的大小框架，以确保范围适合大多数大小形状。评估正确使用最适合正在制造的衣服的面料。通过正确使用尺寸、合身度和面料，我们的目标是减少库存和退货，从而减少碳排放。大大减少垃圾和衣物进入垃圾填埋场，同时通过节省成本提高利润。通过确保高质量合身的衣服，我们应该能够减少消耗，从而在整个生产过程中保存宝贵的资源，并改善任何物品的生命周期。设计适合这一人群的衣服也能提高幸福感。

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.