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Evaluating sustainability trade-offs along supply chain

机译:评估供应链上的可持续发展权衡

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The aim of this present paper is to evaluate network sustainability applying a quantitative model based on the integration of LCA data with discrete simulation. For this purpose, different scenarios have been defined by collecting several product-chain data as an attempt to develop a formalized approach to share information within networks. As preliminary step, the supply chain environmental impact is assessed through a static modular LCA. Then the paper presents different supply chain configurations in which the variation of three important drivers, like lead-time to the customer, level of sustainability of the suppliers and target Global Warming Potential (GWP) value per product, can influence each other. By collecting data from a footwear company case, the model assesses the environmental sustainability of the supply chain (SC) taking into consideration the following environmental impact: materials and components suppliers, transport and logistics from suppliers to producer or contractors, and producer or contractors. According to the proper data reliability required at inventory level, it was possible to simulate scenarios considering different levels of sustainability. The preliminary results highlighted as specific decisional areas under the control of product managers (e.g. supplier selection and manufacturing defects) can significantly affect the environmental impact of the whole supply chain.
机译:本文的目的是使用基于LCA数据与离散仿真的集成的定量模型评估网络的可持续性。为此,通过收集多个产品链数据定义了不同的场景,以尝试开发一种形式化的方法来在网络内共享信息。作为第一步,通过静态模块化LCA评估供应链环境影响。然后,本文提出了不同的供应链配置,其中三个重要驱动因素的变化(例如与客户的交货时间,供应商的可持续性水平以及每个产品的目标全球变暖潜能值(GWP)值)会相互影响。通过从鞋类公司案例中收集数据,该模型在考虑以下环境影响的情况下评估了供应链(SC)的环境可持续性:材料和零部件供应商,从供应商到生产商或承包商以及生产商或承包商的运输和物流。根据清单级别所需的适当数据可靠性,可以模拟考虑不同级别可持续性的方案。初步结果强调指出,在产品经理的控制下的特定决策区域(例如供应商选择和制造缺陷)可能会严重影响整个供应链的环境影响。

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