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Repac-Reduced Packaging Assortment Costs for Sustainable Transport Packaging Optimization

机译:REPAC减少可持续运输包装优化的包装分类成本

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Global e-commerce sales are heading for the $1 trillion dollar mark. In 2010, 170 million people purchased goods online in the US alone[1]. The growth of world wide web sales results in an increasing number of parcel deliveries. Most of the time a shipment consists of more than one product or the packaging design is not suitable for parcel transport. Therefore transport packaging is used to bundle the products and to ensure safe transport. The volume utilization (product to packaging ratio) of most shipments is poor, 20 percent or less is not unusual. The outcome is a lavish use of packaging and void filling materials which then have to be disposed of by the unsatisfied customer. The impacts on the environment are enormous. This excessive use of material destroys ecological resources. Furthermore, the poor utilization of transport capacities leads to increasing carbon dioxide emissions. In addition, neither the carbon footprint nor the packaging related costs (material, storage and distribution costs) are at an optimum. Triggered by this problem, the research project "repac" (reduced packaging assortment costs) was initiated at the Fraunhofer Institute for Material Flow and Logistics, Germany. The scope of the project was the development of a tool which carries out computer aided optimization of packaging spectra with regard to volume utilization.
机译:全球电子商务销售额为1万亿美元的价格标志。 2010年,1700万人单独在美国在线购买货物[1]。万维网销售的增长导致越来越多的包裹交付。大部分时间都是货物由多个产品或包装设计组成,不适合包裹运输。因此,运输包装用于捆绑产品并确保安全运输。大多数出货量的体积利用率(产品到包装比率)差,20%或更少并不罕见。结果是一种奢华的包装和空隙填充材料,然后必须由不满意的客户处理。对环境的影响是巨大的。这种过度使用材料破坏了生态资源。此外,运输能力的利用率差导致增加二氧化碳排放。此外,碳足迹和包装相关成本(材料,储存和分配成本)都不是最佳的。由此问题引发,研究项目“REPAC”(包装分类成本降低)于德国弗劳恩霍夫物流研究所启动。该项目的范围是开发工具,该工具正在进行有关体积利用率的计算机辅助优化包装光谱。

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