基于可持续性的云制造多任务调度
|
摘要
为提高云制造调度过程的可持续性,研究基于可持续性的云制造多任务调度方法,基于面向服务架构理论分析了云制造多任务调度流程和可持续性框架。考虑经济、环境和社会因素,构建了基于可持续性的云制造多任务调度模型,设计了改进的遗传算法以有效解决调度模型的求解问题。通过将基于可持续性调度模型和基于满意度调度模型作对比模拟实验,观察可持续性对云制造多任务调度效果的影响。结果表明,从系统整体优化的角度,基于可持续性的调度模型,能够在不损失客户满意度的前提下,同时降低环境成本和设备闲置率,保障平台整体的可持续运行。
In order to improve the sustainability of the cloud manufacturing scheduling processes,a multi-task scheduling method was studied based on the sustainability of cloud manufacturing,and a cloudmanufacturing multi-task scheduling process and a sustainability framework were analyzed based on the service-oriented architecture theory.Considering economic,environmental and social factors,a multi-task scheduling model was constructed based on sustainability and an improved genetic algorithm was designed to effectively solve the problems of scheduling model solution.Through the comparison simulation experiments based on the sustainability scheduling model and the satisfaction-based scheduling model,the effects of sustainability on the multi-task scheduling effectiveness of cloud manufacturing was observed. The results show that from the perspective of overall system optimization,the sustainability-based scheduling model may reduce environmental costs and equipment idleness without sacrificing customer satisfaction,and ensure the sustainable operations of the platform as a whole.
In order to improve the sustainability of the cloud manufacturing scheduling processes,a multi-task scheduling method was studied based on the sustainability of cloud manufacturing,and a cloudmanufacturing multi-task scheduling process and a sustainability framework were analyzed based on the service-oriented architecture theory.Considering economic,environmental and social factors,a multi-task scheduling model was constructed based on sustainability and an improved genetic algorithm was designed to effectively solve the problems of scheduling model solution.Through the comparison simulation experiments based on the sustainability scheduling model and the satisfaction-based scheduling model,the effects of sustainability on the multi-task scheduling effectiveness of cloud manufacturing was observed. The results show that from the perspective of overall system optimization,the sustainability-based scheduling model may reduce environmental costs and equipment idleness without sacrificing customer satisfaction,and ensure the sustainable operations of the platform as a whole.
引文
[1]DING K,JIANG P,ZHENG M.Environmental and Economic Sustainability-aware Resource Service Scheduling for Industrial Product Service Systems[J].Journal of Intelligent Manufacturing,2017,28(6):1303-1316.
[2]李伯虎,张霖,任磊,等.再论云制造[J].计算机集成制造系统,2011,17(3):449-457.LIU Bohu,ZHANG Lin,REN Lei,et al.Further Discussion on Cloud Manufacturing[J].Computer Integrated Manufacturing Systems,2011,17(3):449-457.
[3]李伯虎,张霖,王时龙,等.云制造:面向服务的网络化制造新模式[J].计算机集成制造系统,2010,16(1):1-7.LI Bohu,ZHANG Lin,WANG Shilong,et al.Cloud Manufacturing:a New Service-oriented Networked Manufacturing Model[J].Computer Integrated Manufacturing Systems,2010,16(1):1-7.
[4]CHENG Y,TAO F,LIU Y,et al.Energy-aware Resource Service Scheduling Based on Utility Evaluation in Cloud Manufacturing System[J].Proceedings of the Institution of Mechanical Engineers Part B,Journal of Engineering Manufacture,2013,227(12):1901-1915.
[5]CHENG Z,ZHAN D,ZHAO X,et al.Multitask Oriented Virtual Resource Integration and Optimal Scheduling in Cloud Manufacturing[J].Journal of Applied Mathematics,2014:369350.
[6]LIU Y,XU X,ZHANG L,et al.An Extensible Model for Multitask-oriented Service Composition and Scheduling in Cloud Manufacturing[J].Journal of Computing and Information Science in Engineering,2016,16:0410094SI.
[7]赵金辉,王学慧,关文革,等.考虑主体心理的云制造服务双层规划选择[J].计算机应用研究,2018(2):1-7.ZHAO Jinhui,WANG Xuehui,GUAN Wenge,et al.Selection of Cloud Manufacturing Services Considering Psychology Based on Bi-level Programming[J].Application Research of Computers,2018(2):1-7.
[8]赵道致,李锐.考虑主体心理预期的云制造资源双边匹配机制[J].控制与决策,2017,32(5):871-878.ZHAO Daozhi,LI Rui.Two-sided Matching Mechanism with Agents.Expectation for Cloud Manufacturing Resource[J].Control&Decision,2017,32(5):871-878.
[9]CHENG Y,TAO F,ZHAO D,et al.Modeling of Manufacturing Service Supply-demand Matching Hypernetwork in Service-oriented Manufacturing Systems[J].Robotics and Computer-Integrated Manufacturing,2017,45(S1):59-72.
[10]LIU Y,XU X,ZHANG L,et al.Workload-based Multi-task Scheduling in Cloud Manufacturing[J].Robotics and Computer-Integrated Manufacturing,2017,45(S1):3-20.
[11]LARTIGAU J,XU X,NIE L,et al.Cloud Manufacturing Service Composition Based on Qo S with Geo-perspective Transportation Using an Improved Artificial Bee Colony Optimisation Algorithm[J].International Journal of Production Research,2015,53(14):4380-4404.
[12]SHEN X,YAO X.Mathematical Modeling and Multi-objective Evolutionary Algorithms Applied to Dynamic Flexible Job Shop Scheduling Problems[J].Information Sciences,2015,298:198-224.*
[2]李伯虎,张霖,任磊,等.再论云制造[J].计算机集成制造系统,2011,17(3):449-457.LIU Bohu,ZHANG Lin,REN Lei,et al.Further Discussion on Cloud Manufacturing[J].Computer Integrated Manufacturing Systems,2011,17(3):449-457.
[3]李伯虎,张霖,王时龙,等.云制造:面向服务的网络化制造新模式[J].计算机集成制造系统,2010,16(1):1-7.LI Bohu,ZHANG Lin,WANG Shilong,et al.Cloud Manufacturing:a New Service-oriented Networked Manufacturing Model[J].Computer Integrated Manufacturing Systems,2010,16(1):1-7.
[4]CHENG Y,TAO F,LIU Y,et al.Energy-aware Resource Service Scheduling Based on Utility Evaluation in Cloud Manufacturing System[J].Proceedings of the Institution of Mechanical Engineers Part B,Journal of Engineering Manufacture,2013,227(12):1901-1915.
[5]CHENG Z,ZHAN D,ZHAO X,et al.Multitask Oriented Virtual Resource Integration and Optimal Scheduling in Cloud Manufacturing[J].Journal of Applied Mathematics,2014:369350.
[6]LIU Y,XU X,ZHANG L,et al.An Extensible Model for Multitask-oriented Service Composition and Scheduling in Cloud Manufacturing[J].Journal of Computing and Information Science in Engineering,2016,16:0410094SI.
[7]赵金辉,王学慧,关文革,等.考虑主体心理的云制造服务双层规划选择[J].计算机应用研究,2018(2):1-7.ZHAO Jinhui,WANG Xuehui,GUAN Wenge,et al.Selection of Cloud Manufacturing Services Considering Psychology Based on Bi-level Programming[J].Application Research of Computers,2018(2):1-7.
[8]赵道致,李锐.考虑主体心理预期的云制造资源双边匹配机制[J].控制与决策,2017,32(5):871-878.ZHAO Daozhi,LI Rui.Two-sided Matching Mechanism with Agents.Expectation for Cloud Manufacturing Resource[J].Control&Decision,2017,32(5):871-878.
[9]CHENG Y,TAO F,ZHAO D,et al.Modeling of Manufacturing Service Supply-demand Matching Hypernetwork in Service-oriented Manufacturing Systems[J].Robotics and Computer-Integrated Manufacturing,2017,45(S1):59-72.
[10]LIU Y,XU X,ZHANG L,et al.Workload-based Multi-task Scheduling in Cloud Manufacturing[J].Robotics and Computer-Integrated Manufacturing,2017,45(S1):3-20.
[11]LARTIGAU J,XU X,NIE L,et al.Cloud Manufacturing Service Composition Based on Qo S with Geo-perspective Transportation Using an Improved Artificial Bee Colony Optimisation Algorithm[J].International Journal of Production Research,2015,53(14):4380-4404.
[12]SHEN X,YAO X.Mathematical Modeling and Multi-objective Evolutionary Algorithms Applied to Dynamic Flexible Job Shop Scheduling Problems[J].Information Sciences,2015,298:198-224.*