The global production of electric goods is at an all-time high, causing negative environmental and health impacts as well as a continuing depletion of natural resources. Considering the worsening global climate change, a transition of current industrial processes is necessary to tackle the above-mentioned factors. To address this urgent issue, socio-economic systems like the Circular Economy (CE) provide options to reallocate the use of resources and products on a global scale. Especially in terms of product lifecycle-prolonging, this system provides suitable approaches to alter the current modes of product handling by society and industry alike, based on the condition of the products. Although the importance and benefits of sustainable services enabling these options are widely known, users tend to shy away from using them. One of the reasons is the missing reliability in terms of the knowledge of the costs associated with a particular service. This uncertainty in expected pricing can, therefore, lower the willingness of potential clients. However, not only clients struggle with the boundary conditions of such services. On the part of the potential providers of services, the monetary risk is often caused by the incapability to detect the condition of a product in advance. This can result on the provider side in a severe economic loss if this possibility is not covered by the service price or through the mass of items, which could allow equalization of serval service operations. To address these weak points in current service execution, the authors propose the \textit{Lifecycle Workbench (LCW)}-ecosystem, which features digital representations to enhance the reliability of service pricing as well as the assessment of the condition of items, assemblies, and parts in the Circular Economy domain.

翻译：全球电子产品产量正处于历史最高水平，这不仅对环境与健康造成负面影响，还导致自然资源持续枯竭。考虑到全球气候变化的加剧，必须对现有工业流程进行转型以应对上述问题。针对这一紧迫挑战，循环经济（CE）等社会经济体系为全球范围内的资源与产品再分配提供了可行方案。尤其在延长产品生命周期方面，该系统基于产品状态为社会和工业界提供了改变当前产品处理模式的适用方法。尽管实现这些选项的可持续服务的重要性与效益已广为人知，但用户往往倾向于回避使用它们。原因之一在于特定服务相关成本认知的可靠性缺失。这种预期定价的不确定性会降低潜在客户的意愿。然而，不仅客户在此类服务的边界条件上面临困难。对于潜在服务提供商而言，货币风险常源于无法预先检测产品状态。若服务定价未覆盖此可能性或无法通过大量物品实现多项服务操作的均衡补偿，可能导致提供商承受严重经济损失。为应对当前服务执行中的这些薄弱环节，作者提出\\textit{生命周期工作台（LCW）}生态系统，其通过数字表征提升服务定价的可靠性，并增强循环经济领域物品、组件及零部件状态评估能力。