Assessment and Optimization of the serviceability

集成产品服务和技术服务（如维修服务）对机床制造商的收入贡献很大。然而，实际的机器故障和相关成本只能在投标阶段以很大的不确定性来预测。此外，在成本研究中，机器和设备的载荷相关失效行为往往被忽视。因此，复杂机器和系统的制造商在同意长期保修时面临很高的风险。一个战略决策支持系统的强大的服务网络，考虑到不确定性，然而，有巨大的potenties.Essential功能，因此，这项建议是优化服务能力，通过战略调整的服务网络，即员工的数量，地点和路线的位置取决于类型和数量的客户组件及其故障特性。最后，关于服务网络配置的滚动审查的通用准则是作为外地组件的错误类型的函数导出的。在这样做的时候，一个开放的研究问题的最佳频率迁移的网络中提供的项目中的特殊情况下的服务network.To评估的服务能力的方法预测的技术可靠性，以确定一组服务日期（更换，修理或机器护理）的答案。此外，该方法开发和模拟的维护活动，并可以找到成本最优的人员分配，最佳的服务位置和最佳路线的网络考虑到所涉及的风险。

Integrated product services and technical services (such as maintenance services) have a great contribution to earnings of machine tool builders. However, the actual machine failures and associated costs can be predicted only with great uncertainty in the bidding phase. In addition, the load dependent failure behavior of machines and equipment in cost studies is often neglected. Manufacturer of complex machines and systems therefore face a high risk when they agree to long term warranties. A strategic decision support system for robust service networks, which take into account the uncertainties given, however has enormous potential.Essential feature of this proposal is therefore to optimize the service capacity through strategic adjustment of the service network, i.e. the number of employees, location of sites and routes depending on the type and number of customers components and their failure characteristics. Ultimately generic guidelines regarding the rolling review of the configuration of the service network are derived as a function of error types of components in the field. In doing so, an answer to the open research question of the optimal frequency of migrating a network is provided in the project for the special case of a service network.In order to assess the serviceability the approach forecasts the technical reliability to determine a set of service dates (replacement, repairing or machine caring). Further on, the approach develops and simulates the maintenance activities and can find the cost optimal personnel assignment, the best service locations and the best routes for the network taking into account the risks involved.