Requirements of a Digital Twin in Order Processing

Environmental factors, such as the high number of product variants, increase the complexity of Order Processing. Holistic decision-making presents a challenge due to the lack of transparency in Order Processing, an inadequate data basis, and the unknown effects of decision alternatives. As a result, producing companies need a tool to support effective and efficient decision-making in Order Processing of complex production and logistics networks. Therefore, we present a Digital Twin in Order Processing at the 54th CIRP Conference on Manufacturing Systems. Because existing literature recommends identifying requirements as a first step and a prerequisite in implementing software, the present document provides the entire list of all identified requirements of a Digital Twin in Order Processing.诸如产品变型数量繁多等环境因素，会提升订单处理（Order Processing）的复杂度。由于订单处理过程透明度不足、数据基础薄弱，且决策备选方案的影响未知，开展整体决策面临诸多挑战。因此，生产制造企业亟需一款工具，以在复杂生产与物流网络的订单处理流程中，支撑高效且富有成效的决策制定。为此，我们在第54届CIRP（国际生产工程学会）制造系统大会上，提出了面向订单处理的数字孪生（Digital Twin）方案。鉴于现有研究文献均将需求识别作为软件实施的首要步骤与前提条件，本文完整列出了面向订单处理的数字孪生的全部已识别需求。