面向云制造服务的制造资源优化配置研究

A Research on Optimal Allocation of Manufacturing Resources for Cloud Manufacturing Services

为了降低云端制造服务成本,解决云制造环境下无需求偏好的制造资源优化配置的难题,充分考虑制造资源需求企业和云平台运营方的利益以及双方在制造资源配置服务过程中涉及到的服务质量(quality of sevice , QoS)因素和柔性因素,构建了云环境下代表制造资源需求企业和云平台运营方利益的多目标优化资源配置模型,并基于改进NSGA-Ⅱ算法对模型算例进行了求解,计算结果表明了该模型和算法的可行性、有效性和稳定性。

In order to reduce the cost of manufacturing and service for cloud clients, solve the problem of resources optimization deployment for no need preference under the circumstance of cloud manufacturing, take into full consideration the interests of enterprises which need manufacturing resources and cloud platform operators, together with QoS and flexibility of both sides in the process of manufacturing resources configuration service, a multi-objective optimization model is built for resource allocation. This model represents interests of the above-mentioned two parties. In addition, the model examples are solved by modifying NSGA-Ⅱ algorithm. Results prove that the model and the algorithm are feasible, effective and stable.