مطالعه حالت عملیات در اکوسیستم تولید ابر

With cloud manufacturing and its shared big-data, the life-cycle management of the massive distributed manufacturing resources can be considered as an ecosystem, in which every entity makes their own decisions depend on the enriched information, which will affect the life cycle of the resources and the overall industry states. In this paper, an original operation mode with three extensions are proposed to describe the life cycle vicissitude of each resource. An agent-based model was designed to simulate the ecosystem modes from the very beginning, and the results show that the ecosystem has: 1) shorter job queue length and lower resource idle rate with incubation mode; 2) a little shorter job queue length and fewer amount of registered resource with outsourcing mode; 3) the fewest amount of registered resource but a little higher resource idle rate with metabolism mode.