团购模式下云制造服务资源组合优化模型与算法

在云制造服务环境中,为了进一步降低需求者的服务成本,提出了一种团购模式下云制造服务资源组合优化模型与算法。在云制造平台发展的初期阶段,以服务需求者的视角分析云制造服务资源组合优化管理问题,通过团购模式研究了资源组合优化模型与算法,模型中考虑团购定价、团购信任度等关键影响因素,对云制造资源组合优化进行综合决策;设计改进的遗传算法进行模型求解,进一步对团购模式下云制造服务资源组合模型进行仿真分析。通过不同规模问题的仿真实验验证了模型与算法的有效性和可行性,仿真结果表明,在团购规模逐渐增大的情况下,团购模式比个体模式更具有成本优势。

Cloud manufacturing service resource combination optimization model and algorithm under group buying mode

A could manufacturing service resource optimization under group buying mode was proposed in order to reduce service costs of demanders. In the early stage of cloud manufacturing platform, service resource optimization management was analyzed from perspective of service demanders, so as to reduce their service costs of cloud manufacturing platform as a whole. The group buying mode was introduced into the resource combination optimization model, and the key impact factors including pricing and trust level in group buying were considered. Under group buying circumstances, comprehensive decision of cloud manufacturing resource optimization was studied, and an improved genetic algorithm was designed for solving this model. Furthermore, the simulation experiments of different scale problems were also given to verify the validity and feasibility of the proposed model and the improved algorithm. The simulation results show that, when group buying scale increases, group buying mode has more cost advantages.