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Proposition for an adapted management process to evolve from an unsupervised Life Cycle Assessment of complex industrial systems towards an eco-designing organisation

机译:提议采​​用适应性管理流程,从复杂工业系统的无监督生命周期评估发展为生态设计组织

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摘要

The integration of environmental concerns into the product design process is not trivial when dealing with complex industrial systems. Actually, environmental assessment methodologies like Life Cycle Assessments reach, in this case, methodological and organisational limits. More generally, the complexity inherent in the design process may put off eco-design initiatives from a lack of organisational management, methods and tools. In this article, we propose a project management methodology to facilitate the integration of eco-design into the design process of complex industrial systems. This methodology is based on continuous improvement and a Define, Measure, Analyse, Improve, Control (DMAIC) process. It is then structured around precise team definition, precise milestones, deliverables and phases. A first stage ensures a reliable environmental assessment of the full system and the identification of environmental improvement projects. A second stage allows the independent execution of the most promising improvement projects. A first application is proposed on the Alstom Grid AC/DC (alternative current/direct current) conversion substations for the aluminium industry. A Life Cycle Assessment has been performed with limited resources and has provided rich findings and promising perspectives. It shows in particular that the best environmental configuration of such a complex industrial system depends on external parameters like the implantation site.
机译:在处理复杂的工业系统时,将环境问题整合到产品设计过程中并非易事。实际上,在这种情况下,诸如生命周期评估之类的环境评估方法会达到方法和组织上的极限。更一般而言,设计过程中固有的复杂性可能会使生态设计计划因缺乏组织管理,方法和工具而推迟。在本文中,我们提出了一种项目管理方法,以促进将生态设计集成到复杂的工业系统的设计过程中。该方法论基于持续改进和定义,测量,分析,改进,控制(DMAIC)过程。然后围绕精确的团队定义,精确的里程碑,可交付成果和阶段进行组织。第一阶段确保对整个系统进行可靠的环境评估并确定环境改善项目。第二阶段允许独立执行最有希望的改进项目。在铝工业的阿尔斯通电网AC / DC(交流/直流)转换变电站中提出了第一个应用。生命周期评估仅在有限的资源下进行,并提供了丰富的发现和有希望的观点。它特别表明,这种复杂的工业系统的最佳环境配置取决于外部参数,例如植入地点。

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