Study on Resource Configuration on Cloud Manufacturing

Abstract

The purpose of manufacturing is to realize the requirement of customer. In manufacturing process of cloud system, there exist a lot of resource services which have similar functional characteristics to realize the requirement. It makes the manufacturing process more diverse. To develop the quality and reduce cost, a resource configuration model on cloud-manufacturing platform is put forward in this paper. According to the generalized six-point location principle, a growth design from the requirement of customers to entities with geometric constraints is proposed. By the requirement growing up to product, a configuration process is used to match the entities with the instances which the resources in the database could supply. Different from most existing studies, this paper studies the tolerance design with multiple candidate resource suppliers on cloud manufacturing to make the market play a two-level game considering the benefit of customers and the profit of resources to give an optimal result. A numerical case study is used to illustrate the proposed model and configuration process. The performance and advantage of the proposed method are discussed at the end.

Sustainability Benefits Analysis of Cyber-Manufacturing Systems

“…The selection and composition strategy could be generated based on the solution space of the optimization problems considering cost, quality, etc., among other key performance factors. The optimization problem can be solved by a diversity of metaheuristic optimization algorithm, linear programming, casebased library or simulation-based approaches (Tao et al 2013;Tian et al 2013;Wang, Zhang, and Si 2014;Lartigau et al 2014;Cheng et al 2014;Xu et al 2015;Xiang et al 2015;Cao et al 2015;Liu and Zhang 2016;Li, Yao, and Zhou 2016;Cao et al 2016). The selection of algorithm is determined by (i) the complexity of manufacturing tasks, (ii) performance factors to be considered and (iii) the trade-offs between computation time and optimality of the solutions obtained.…”