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Managing Complexity in Product Service Systems and Smart Services

机译:管理产品服务系统和智能服务的复杂性

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In the context of product service systems and smart services, the huge number of possible variants and dynamic market requirements present a challenge for service providers who want to stay profitable. The combination of variety and dynamic is called the complexity challenge. Among the main difficulty is to respond to the market’s external variety and dynamic with the right flexibility without losing efficiency or effectiveness. This paper, motivated by a case study, focuses on selected difficulties posed by complex markets on the portfolio, product, process and resource level. It introduces a qualitative and quantitative model to manage a company’s internal complexity according to the external complexity on all mentioned levels. In the introduction, the most relevant challenges posed by complex markets will be explained in detail. The second section covers the understanding of complexity management as a control loop. The third section then introduces a set of key figures that can be used to evaluate a company’s internal complexity on a quantitative level. In the fourth section, a curve model that aims at representing the qualitative interconnections between these key figures to gain control of the complexity in product service systems and smart services will be presented.
机译:在产品服务系统和智能服务的背景下,大量可能的变体和动态的市场需求为希望保持盈利的服务提供商带来了挑战。多样性和动态性的结合被称为复杂性挑战。主要困难之一是如何以适当的灵活性应对市场的外部变化和动态,而又不会失去效率或效果。本文以案例研究为动机,重点研究复杂市场在投资组合,产品,过程和资源层面上所面临的某些困难。它引入了定性和定量模型,可以根据上述所有级别的外部复杂性来管理公司的内部复杂性。在引言中,将详细解释复杂市场带来的最相关挑战。第二部分涵盖了对复杂性管理作为控制循环的理解。然后,第三部分介绍了一组关键指标,这些指标可用于定量评估公司的内部复杂性。在第四部分中,将介绍一个曲线模型,该曲线模型旨在表示这些关键指标之间的定性关联,以控制产品服务系统和智能服务的复杂性。

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