基于企业环保信誉评估的云制造系统

Cloud Manufacturing System Based on Enterprise Environmental Protection Reputation Evaluation

云制造是一种新型的网络化制造模式,它可以缓解制造业闲置制造能力、资源稀缺、制造能力过剩、制造能力不足等问题和实现资源合理有效的配置。云制造环境下的制造资源优化配置问题是云制造的核心问题,其优化模型的合理性与优化方法的优劣将对云制造服务的质量和效率产生深入影响。随着社会生产力的不断发展,制造业的环境污染也成了不容忽视的问题。为了鼓励企业进行产业升级,推行绿色发展理念,提出了企业环保信誉评估模型,并将模型计算出的环保信誉指标纳入QoS评估模型中,进而提出了一种基于企业环保信誉的QoS评估模型。此外考虑到现有算法的局限性,为了更有效地求解QoS评估模型,提出一种SGWO算法。实验结果表明,SGWO算法在QoS模型中相对于现有算法呈现出较好的优化效果,从而解决了云制造环境下基于环保度的服务组合质量问题。

Cloud manufacturing is a new type of networked manufacturing mode which can alleviate the problems of idle manufacturing capacity,scarce resources,surplus manufacturing capacity,insufficient manufacturing capacity and achieve effective allocation of recourses in the manufacturing industry.The optimization of manufacturing resources in the cloud manufacturing environment is the core of cloud manufacturing.The rationality of the optimization model and the advantages and disadvantages of optimization method will have a profound influence on the quality and efficiency of the cloud manufacturing service.In addition,with the continuing development of social productivity,environmental pollution has become a problem that can’t be ignored in the manufacturing industry.In order to encourage enterprises to carry out industrial upgrading and promote the concept of green development,we propose an evaluation model of enterprises’ environmental protection reputation.The environmental protection reputation indexes calculated by the model are incorporated into the QoS evaluation model,and then a QoS evaluation model based on enterprises’ environmental protection reputation is proposed.Considering the limitations of the existing algorithms,we put forward a SGWO algorithm to solve the QoS evaluation model more effectively.The experiment shows that the SGWO algorithm presents a better optimization performance compared with the existing algorithm in the QoS model,and can solve the quality problem of service composition based on environmental protection in the cloud manufacturing environment better.