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Robust capacity planning for the delivery of Industrial Product-Service Systems

机译:提供工业产品 - 服务系统的强大容量规划

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Industrial Product-Service Systems (IPS~2) are integrated product and service offerings that deliver superior customer value in industrial applications by mutually determined planning, development, delivery and use of product and service shares. A particular challenge for the provision of IPS~2 is the planning of resources, e.g. field service engineers (FSE). As a consequence, organizations which offer IPS~2 or industrial, services experience a lack of decision support in determining robust capacity planning strategies in highly dynamic and uncertain environments. In this paper, a simulation-based capacity planning approach is introduced. The focus is on capacity planning of FSE for IPS~2 delivery in IPS~2 or service networks. After some general considerations on robust capacity planning for IPS~2 delivery with the help of scenario simulations, the core elements of the agent-based simulation approach are presented. The most important parameters, control variables and performance indicators are discussed and the procedure of simulation-based scenario planning is outlined.
机译:工业产品 - 服务系统(IPS〜2)是集成的产品和服务产品,通过相互确定的规划,开发,交付和使用产品和服务股份提供了卓越的客户价值。提供IPS〜2的特殊挑战是资源的规划,例如,现场服务工程师(FSE)。因此,提供IPS〜2或工业的组织,在高度动态和不确定环境中确定强大的容量规划策略,缺乏决策支持。本文介绍了一种基于仿真的容量规划方法。重点是在IPS〜2或服务网络中为IPS〜2传送的FSE的容量规划。在一些关于IPS〜2交付的强大考虑因素算法模拟的稳健容量规划之后,提出了基于代理的仿真方法的核心元素。讨论了最重要的参数,控制变量和性能指标,概述了基于模拟的方案规划的过程。

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