Hypernetwork-based manufacturing service scheduling for distributed and collaborative manufacturing operations towards s
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Hypernetwork-based manufacturing service scheduling for distributed and collaborative manufacturing operations towards smart manufacturing Ying Cheng1,2
· Luning Bi1 · Fei Tao1 · Ping Ji2
Received: 29 November 2017 / Accepted: 19 March 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018
Abstract In the future smart manufacturing, both of sensor-based environment in shop floors and cloud-based environment among more and more enterprises are deployed gradually. Various distributed and separated manufacturing facilities are as collaborative cloud services, integrated and aggregated with their real-time information. It provides opportunities for the distributed and collaborative manufacturing operations across lots of distributed but networked enterprises on demand with enough flexibility. To this end, the scheduling problem and its result of those collaborative services for distributed manufacturing operations play an important role in improving manufacturing utilization and efficiency. In this paper, we put forward the hypernetwork-based models introducing the thought of graph coloring and an artificial bee colony algorithm based method for this scheduling problem. Three groups of experiments are carried out respectively to discuss therein different situations of distributed and collaborative manufacturing operations, i.e., in a private cloud, in a public cloud, and in a hybrid cloud. Some future studies with further consideration of collaboration equilibrium, dynamic control and data-based intelligence, are finally pointed out in the conclusion. Keywords Manufacturing service scheduling · Distributed collaboration · Smart manufacturing (SM) · Complex networks · Graph coloring
Introduction Along with the gradual applications of some new-generated information technologies (ITs) in manufacturing, pursuing smart manufacturing (SM) based on current digital situation becomes one of the worldwide common trends (Tao and Qi 2017). Towards this trend and requirements of SM, the most typical sensor-based and cloud-based system architecture is explored widely (Tao et al. 2014a; Zhong et al. 2013). In this context, as the sensor-based environment is deployed gradually in shop floors, and the cloud-based environment increasingly covers more and more distributed but networked
B
Fei Tao [email protected]
1
School of Automation Science and Electrical Engineering, Beihang University (BUAA), Beijing 100191, People’s Republic of China
2
Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
enterprises, manufacturing facilities (machines in one or different companies), although distributed in different places geographically, are connected together via internet. As well, the collection, utilization and sharing of real-time production data are achieved. Therefore, it paves the way for a revolution of production, i.e., distributed and collaborative manufacturing operations across different enterprises, mainly with the following two improvements.
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