Understand and Control Complexity in Cyber-Physical Systems by Analyzing Complexity Drivers
Understand and Control Complexity in Cyber-Physical Systems by Analyzing Complexity Drivers
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DOI：
10.1109/icps49255.2021.9468255
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发表时间：
2021-05
期刊：
影响因子：
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通讯作者：
M. Riesener;C. Dölle;A. Keuper;G. Schuh
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文献类型：
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作者：
M. Riesener;C. Dölle;A. Keuper;G. Schuh
制造企业面临着越来越多的客户对创新和个性化的需求。产生了新的产品，这些产品是通过将物理机电元素与虚拟软件元素相结合来实现的。这些系统是网络物理系统(CP)，具有增加功能和支持其他服务的优势。合并成一个系统提供的不仅仅是其组成部分的总和。然而，物理域和虚拟域的合并以及它们特定于域的开发方法为产品及其开发过程带来了新的和未考虑到的复杂性。为了提高CPS的成本效益比，了解和控制额外的复杂性是很重要的。本文通过研究CPS的复杂性驱动因素及其相互关系，对CPS的系统复杂性进行了分析，目的是找出CPS中管理复杂性的最大杠杆，并为导出面向复杂性的度量提供依据。
Manufacturing companies are confronted with an increased customer demand for innovation and individuality. Leading to new products, which are realized by the merging of physical mechatronic elements with virtual software elements. These systems are cyber-physical systems (CPS) and have the advantage to increase the functionality and enable additional services. The combination into one system offers more than the sum of its components. However, the merge of physical and virtual domains and their domain-specific development methods introduces new and unconsidered complexity into the product and its developing process. It is important to understand and control the additional complexity in order to improve the cost-benefit ratio of CPS. This paper is analyzing the system complexity of CPS by investigating its complexity drivers and their relations with the aim to identify the biggest levers to manage complexity in CPS and providing a basis for deriving complexity-oriented measures.