Manufacturing Services Scheduling With Supply–Demand Dual Dynamic Uncertainties Toward Industrial Internet Platforms
Ying Cheng, Yifan Xie, Dongxu Wang, Fei Tao, Ping Ji
Abstract
As a series of industrial Internet platforms have been launched, manufacturing facilities in the physical world, although distributed in different enterprises, are interconnected in the form of manufacturing services (MSs) in cyberspace. In this context, it makes possible for on-demand sharing of MSs as well as corresponding cross-enterprise collaboration. However, many dynamic uncertainties of both MSs and the submitted demands occur unpredictably, which seriously hinders the platforms' applications. To cope with the problem of MSs scheduling with supply-demand dual dynamic uncertainties, a three-stage approach based on an evolutionary hypernetwork model is proposed. In which, six of nine kinds of dynamic events and eighteen specific conditions are considered, and an event-condition-act mechanism is designed to guide local/global rescheduling if needed. Experimental results show the effectiveness of the proposed approach, as well as the potential of a platform employing the approach in response to different dynamic events in its application.