Automotive companies are striving for higher productivity, flexibility and more sustainable products to meet demands of central stakeholders (e.g. regulation, customers, investors). New drive systems or lightweight-design of cars often imply an environmental burden shifting from one life cycle stage to another, e.g. from the use-stage to the manufacturing stage. More products will be manufactured for an increasing population and higher efficiency effort may lead to increased consumption (rebound effect). An optimization of the manufacturing stage is thus increasingly important but it has to be done from the perspective of bringing the product's life cycle performance in accordance with sustainability requirements. In order to support the companies in finding effective solutions, the framework “Sustainability Cone” was applied and an algorithm developed guiding the definition of economic and environmental target states (TS) in automotive manufacturing. Especially during the early phase of planning, largest improvements can be achieved, however target states are not yet integrated in production simulation software (e.g. PLM tools). This paper describes the approach and its application in the planning of a body shop, being one of the most relevant and complex steps of car production. The approach addresses all relevant levels, e.g. a robot, a production cell and the entire production line. So-called life cycle targets (LCT) are introduced, which represent a specific share of the target state, reflecting the importance (i.e. activity-based) of each level. Using this approach, a product and production system can be planned holistically and any rebound effect factored in and sub-optimization can be avoided.

汽车公司正在努力提高生产率，灵活性和可持续性产品，以满足中央利益相关者（例如法规，客户，投资者）的需求。新的驱动系统或轻量化的汽车设计通常意味着环境负担从一个生命周期阶段转移到另一个生命周期阶段，例如从使用阶段过渡到制造阶段。将为越来越多的人口生产更多的产品，而更高的效率努力可能会导致消费增加（反弹效应）。）。因此，优化制造阶段变得越来越重要，但必须从使产品的生命周期性能符合可持续性要求的角度出发进行优化。为了支持公司寻找有效的解决方案，应用了“可持续发展锥体”框架，并开发了一种算法来指导汽车制造业的经济和环境目标状态（TS）的定义。特别是在计划的早期阶段，可以实现最大的改进，但是目标状态尚未集成到生产模拟软件（例如PLM工具）中。本文介绍了该方法及其在车身修理厂计划中的应用，这是汽车生产中最相关，最复杂的步骤之一。该方法涉及所有相关级别，例如机器人，一个生产单元和整个生产线。引入了所谓的生命周期目标（LCT），它表示目标状态的特定份额，反映了每个级别的重要性（即基于活动）。使用这种方法，可以对产品和生产系统进行整体规划，并且可以避免考虑任何回弹效应以及进行次优化。