Mutual manufacturing service selection and routing problem considering customer clustering in Cloud manufacturing

Considering the globalization concept, all companies around the world are able to communicate with each other, share their technologies, and eliminate their production incapability issues. To achieve this goal, Cloud manufacturing system has been proposed. One of the most important issues in Cloud manufacturing is service composition, in which composition of cloud services is determined to meet customer orders. This paper considers a single-product supply network over one period in Cloud manufacturing system with the goal of service composition optimization. The network is designed in a layered structure considering transportation and production services and customers can be classified in specific clusters. A new algorithm is proposed to assign the services to the network layers, and the problem is formulated as a mixed integer model with the objective of maximizing the profit of the network. Also as the problem has an NP-hard origin a meta-heuristic algorithm is exploited to solve it