Research on optimal selection of services and optimal allocation of resources in cloud manufacturing environment

Abstract

As a new manufacturing mode in recent years, cloud manufacturing has provided a new method for manufacturing industry from low efficiency to efficient utilization of resources, based on the concept of “manufacturing as a service”. Cloud manufacturing is the product of the integration of high-tech, as information technology, Internet of things and big data. To promote global manufacturing to a healthy, green direction, cloud manufacturing technology converges massive service resources, centralizes utilization, reasonably allocates, and realizes high-level utilization and real-time sharing of manufacturing resources. However, due to the large number, wide scope and complexity of cloud manufacturing resources, and the uncertainty and diversity of cloud manufacturing users, how to achieve optimal deployment of cloud manufacturing resources, it is an urgent problem to meet the different individual needs of users and to improve the efficient sharing of manufacturing resources. Therefore, this paper studies cloud manufacturing service optimization, cloud manufacturing service comprehensive evaluation system and resource optimal allocation, and uses the relevant software tools to design the system function modules and establish a cloud manufacturing service platform system.