摘要
为解决资源优化配置过程中忽视云制造平台可持续性的问题,综合考虑资源的知识贡献度、服务评价和使用优先级对平台可持续性的实际影响,结合服务质量指标,提出了资源组合服务能力综合评估模型。以平台运营方作为上层决策者,服务需求方作为下层决策者,构建了以平台运营方可持续性最强、服务需求方服务质量最优为目标的双层规划模型,并采用模拟退火算法对资源优化配置模型进行求解,应用分析和实验结果表明了该模型和算法的可行性。
Aiming at the problem of the sustainability of cloud manufacturing platform being ignored in the process of allocating resource,a service capability evaluation model of resource combination which includes QoS and sustainability factors is proposed.In this model,sustainability is determined primarily by knowledge contribution,service evaluation,and use-priority of resource.Then,a bi-level programming model of resource allocation is built aiming at optimizing the QoS and maximizing the sustainability by considering the interests of each participant.Simulated annealing algorithm is used to solve the model and the results of the applications and experiments demonstrated the feasibility of the proposed model and the algorithm.
作者
吴燕霞
贾国柱
栾世超
王乐天
高影
WU Yan-xia;JIA Guo-zhu;LUAN Shi-chao;WANG Le-tian;GAO Ying(School of Economics ＆ Management,Beihang University,Beijing 100191,China;China Aero-polytechnoligy Establishment,Beijing 100028,China;School of Aeroautic Science and Engineering,]3eihang University,Beijing 100191,China;Department of Management Engineering,Shanxi Institute of Technology,Yangquan 045000,China)
出处
《系统工程》
CSSCI
北大核心
2018年第3期122-128,共7页
Systems Engineering
基金
国家自然科学基金资助项目(71772010)
国防技术基础项目(JSZL2016601A004)
航空科学基金资助项目(2015ZG41003)
关键词
云制造
资源优化配置
可持续性
双层规划模型
模拟退火算法
Cloud Manufacturing
Resource Allocation
Sustainability
Bi-level Programming Model
Simulated Annealing Algorithm
