演示数字产品存储器在碳足迹场景中的应用

Alexander Kröner, Gerrit Kahl, L. Spassova, C. Magerkurth, T. Feld, D. Mayer, Ali Dada
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引用次数: 9

摘要

碳足迹是一种环境指标,它不仅对评估和优化生产和物流过程具有特殊意义,而且对解决客户对产品生态特性日益增长的兴趣也有特殊意义。它的计算和处理与研究挑战紧密相关,例如捕获和探索项目级数据,以及项目级流程实例的聚合。在本文中,我们报告了一个演示系统,该系统旨在向技术博览会的参观者说明如何通过智能标签获得的输入创建项目级记录来解决这些挑战。在跨越产品生命周期几个步骤的场景中,系统支持创建和利用这些记录。在每个阶段,系统将项目级数据与更一般的相关信息(例如,与产品类别和底层流程模型相关的信息)结合起来,其最终目标不仅是支持对产品碳足迹的评估,还包括为未来同类产品减少碳足迹。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demonstrating the Application of Digital Product Memories in a Carbon Footprint Scenario
The carbon footprint is an environment indicator, which is of special interest not only for assessing and optimizing production and logistic processes, but also for addressing a growing interest of customers in the ecologic characteristics of a product. Its computation and processing are tightly bound to research challenges, such as the capturing and exploration of item-level data, and the aggregation of item-level process instances. In this article, we report about a demonstration system, which aims at illustrating visitors of a technology fair how these challenges can be addressed by means of item-level records created from input obtained via smart labels. In a scenario spanning several steps of a product's lifecycle, the system enables the creation and exploitation of these records. During each stage, the system combines item-level data with more general information related, e.g., to the product class and the underlying process model - with the ultimate goal not only to support the assessment of an item’s carbon footprint, but also its reduction for future products of the same class.
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