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Multi-objective resource optimization scheduling based on iterative double auction in cloud manufacturing

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Advances in manufacturing 2019年第4期7卷 374-388页

作者： Zhao-Hui Liu Zhong-Jie Wang Chen Yang College of Electronics and Information Engineering Tongji UniversityShanghai 201804People's Republic of China College of Engineering Science and Technology Shanghai Ocean UniversityShanghai 201306People's Republic of China

cloud manufacturing is a new kind of networked manufacturing model.In this model,manufacturing resources are organized and used on demand as marketoriented services.These services are highly uncertain and focus on users.The information between service demanders and service providers is usually incomplete.These challenges make the resource scheduling more difficult.In this study,an iterative double auction mechanism is proposed based on game theory to balance the individual benefits.Resource demanders and providers act as buyers and sellers in the auction.Resource demanders offer a price according to the budget,the delivery time,preference,and the process of auction.Meanwhile,resource providers ask for a price according to the cost,maximum expected profit,optimal reservation price,and the process of auction.A honest quotation strategy is dominant for a participant in the auction.The mechanism is capable of guaranteeing the economic benefits among different participants in the market with incomplete information.Furthermore,the mechanism is helpful for preventing harmful market behaviors such as speculation,cheating,etc.Based on the iterative double auction mechanism,manufacturing resources are optimally allocated to users with consideration of multiple objectives.The auction mechanism is also incentive compatibility.

关键词： cloud manufacturing Resource scheduling Multi-objective optimization Iterative double auction Incentive compatibility

Product platform architecture for cloud manufacturing

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Advances in manufacturing 2020年第3期8卷 331-343页

作者： Wei Wei Feng Zhou Peng-Fei Liang School of Mechanical Engineering and Automation Beihang UniversityBeijing 100191People’s Republic of China

cloud manufacturing is emerging as a new manufacturing paradigm and an integrated technology.To adapt to the increasing challenges of the traditional manufacturing industry transforming toward service-oriented and innovative manufacturing,this paper proposes a product platform architecture based on cloud manufacturing.Firstly,a framework for the product platform for cloud manufacturing was built.The proposed architecture is composed of five layers:resource,cloud technology,cloud service,application,and user layers.Then,several key enabling technologies for forming the product platform were studied.Finally,the product platform for cloud manufacturing built by a company was taken as an application example to illustrate the architecture and functions of the system.The validity and superiority of the architecture were verified.

关键词： cloud manufacturing cloud service Product platform Architecture Product collaborative design

Diffusion mechanism simulation of cloud manufacturing complex network based on cooperative game theory

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Journal of Systems Engineering and Electronics 2018年第2期29卷 321-335页

作者： GENG Chao QU Shiyou XIAO Yingying WANG Mei SHI Guoqiang LIN Tingyu XUE Junjie JIA Zhengxuan Economics and Management School Harbin Institute of Technology at Weihai Beijing Complex Product Advanced manufacturing Engineering Research Center Beijing Simulation Center State Key Laboratory of Intelligent manufacturing System Technology Beijing Institute of Electronic System Engineering Science and Technology on Space System Simulation Laboratory Beijing Simulation Center

cloud manufacturing is a specific implementation form of the "Internet + manufacturing" strategy. Why and how to develop cloud manufacturing platform(CMP), however, remains the key concern of both platform operators and users. A microscopic model is proposed to investigate advantages and diffusion forces of CMP through exploration of its diffusion process and mechanism. Specifically, a three-stage basic evolution process of CMP is innovatively proposed. Then, based on this basic process, a more complex CMP evolution model has been established in virtue of complex network theory, with five diffusion forces identified. Thereafter, simulations on CMP diffusion have been conducted. The results indicate that, CMP possesses better resource utilization,user satisfaction, and enterprise utility. Results of simulation on impacts of different diffusion forces show that both the time required for CMP to reach an equilibrium state and the final network size are affected simultaneously by the five diffusion forces. All these analyses indicate that CMP could create an open online cooperation environment and turns out to be an effective implementation of the "Internet + manufacturing" strategy.

关键词： complex network cloud manufacturing innovation diffusion network effect Gale-Shapley algorithm cooperative game theory

A classification matching method for manufacturing resource in cloud manufacturing environment

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International Journal of Modeling, Simulation, and Scientific Computing 2017年第2期8卷 264-274页

作者： Wei-Jiao Feng Chao Yin Xiao-Bin Li Liang Li State Key Laboratory of Mechanical Transmission Chongqing University 174 Shazhengjie Shapingba400044ChongqingP.R.China School of Economics and Business Administration Chongqing University 174 Shazhengjie Shapingba400044ChongqingP.R.China Chongqing HITECH Information-Based manufacturing Productivity Promotion Center Co.Ltd 210 Hanyu Road Shapingba400040ChongqingP.R.China

cloud manufacturing(CMfg),combining the idea and technologies of cloud computing and Internet of Things,is an emerging service-oriented manufacturing model.The supply–demand matching of manufacturing resources is one of the key technologies for implemention.However,resources in CMfg system are geographically distributed,functional of similar and dynamically changeable,and these features make it difficult to obtain higher accuracy for existing matching methods.In order to select the most satisfied resources in CMfg,a semantics-based supply–demand classification matching method(SDCM)is proposed.Firstly,the implementing framework of SDCM is constructed.Then,combined with the theories of ontology and dynamic description logic,a semantics-based SDCM algorithm is designed,which includes four implementation stages,respectively,basic information matching,IOPE parameters(Input,Outputs,Preconditions,Effects)matching,QoS(Quality of Service)matching and comprehensive matching.Finally,a case verifies the feasibility and effectiveness of the proposed method.

关键词： cloud manufacturing manufacturing resource supply-demand matching ontology.

Agent-based simulation platform for cloud manufacturing

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International Journal of Modeling, Simulation, and Scientific Computing 2017年第3期8卷 1-20页

作者： Chun Zhao Lin Zhang Yongkui Liu Zhiqiang Zhang Gengjiao Yang Bo Hu Li School of Automation Science and Electrical Engineering Beihang University Xueyuan Street 37Haidian District 100083BeijingP.R.China Engineering Research Center of Complex Product Advanced manufacturing Systems Ministry of Education 100191BeijingP.R.China

cloud manufacturing is a new manufacturing paradigm which creates an open environment for transactions among the enterprises.Research on transaction modes and regularities in a cloud manufacturing environment is important for promoting the applications of cloud manufacturing.To this end,we design and implement a simulation platform according to the typical transaction processes of enterprises in the cloud manufacturing environment.In the simulation platform,enterprises are encapsulated into Service Agents,and thus the activities of service agents can be used to describe enterprise behaviors.By defining different rules,simulations for different business models can be conducted.Detailed descriptions of the platform architecture,functions,and key technologies are presented.The feasibility of the simulation platform is verified through a case study.

关键词： cloud manufacturing simulation platform service agent transaction process

The cloud manufacturing Resource Scheduling Optimization Method Based on Game Theory

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Journal on Artificial Intelligence 2022年第4期4卷 229-243页

作者： Xiaoxuan Yang Zhou Fang Heilongjiang Province Cyberspace Research Center Heilongjiang Province Harbin150090China

In order to optimize resource integration and optimal scheduling problems in the cloud manufacturing environment,this paper proposes to use load balancing,service cost and service quality as optimization goals for resource scheduling,however,resource providers have resource utilization requirements for cloud manufacturing platforms.In the process of resource optimization scheduling,the interests of all parties have conflicts of interest,which makes it impossible to obtain better optimization results for resource scheduling.Therefore,amultithreaded auto-negotiation method based on the Stackelberg game is proposed to resolve conflicts of interest in the process of resource scheduling.The cloud manufacturing platform first calculates the expected value reduction plan for each round of global optimization,using the negotiation algorithm based on the Stackelberg game,the cloud manufacturing platformnegotiates andmediateswith the participants’agents,to maximize self-interest by constantly changing one’s own plan,iteratively find multiple sets of locally optimized negotiation plans and return to the cloud manufacturing platform.Through multiple rounds of negotiation and calculation,we finally get a target expected value reduction plan that takes into account the benefits of the resource provider and the overall benefits of the completion of the manufacturing task.Finally,through experimental simulation and comparative analysis,the validity and rationality of the model are verified.

关键词： cloud manufacturing resource scheduling optimal allocation of resources conflict of interest stackelberg game

Rough set based optimization method of machine tools in cloud manufacturing

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International Journal of Modeling, Simulation, and Scientific Computing 2018年第1期9卷 35-45页

作者： Song Huang Chao Yin Xiaobin Li Fei Liu State Key Laboratory of Mechanical Transmission Chongqing University 174 ShazhengjieShapingba 400044ChongqingP.R.China School of Economics and Business Administration Chongqing University 174 Shazhengjie Shapingba400044ChongqingP.R.China

cloud manufacturing(CMfg),combining with the technologies of cloud computing and Internet of Things,is an intelligent networked manufacturing model,which can quickly integrate various distributed manufacturing resources for collaboratively completing the complex and customized manufacturing tasks.One of the key technologies supporting this model is the optimal manufacturing resources in the CMfg systems,typically machine tools(MTs).In this paper,the attributes of MTs in cloud environment are analyzed,the constraint relationship between the attributes and the optimization criteria of MTs is established,and an optimization method of MTs based on rough set is proposed.Finally,a case study is discussed to validate the feasibility and effectiveness of the proposed method.

关键词： cloud manufacturing machine tool resource constraint optimization

Research on cloud manufacturing Resource-Aware and Access Technology Using RFID

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Journal of Harbin Institute of Technology(New Series) 2014年第3期21卷 101-110页

作者： Min Lv Chuan-Xia Zhou Ji-Shuai Shi Lei Liu Dept. of Industrial Engineering Harbin Institute of Technology

With the continuous development of cloud manufacturing technology,in order to solve more complex manufacturing problem and conduct large-scale networked manufacturing,combining with the characteristic of discrete manufacturing enterprise's demands and RFID( Radio Frequency Identification),a kind of RFIDbased cloud manufacturing resource-aware and access technology is proposed. Firstly,the architecture of the cloud manufacturing system and RFID system is briefly introduced. Then,the key technologies of manufacturing resource-aware and access technology are analyzed,including anti-collision technology,reader management technology and so on. Finally,taking the manufacturing of the key components in discrete manufacturing enterprise as an example,the practicality and feasibility of the technology is verified. The results show that the application of this technology provides a strong guarantee for the sharing and collaboration of manufacturing resources and capacity in the discrete manufacturing industry.

关键词： cloud manufacturing RFID resource-aware

cloud manufacturing Service Composition Modeling and Formal Verification Based on Calculus for Orchestration of Web Service

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Cloud Manufacturing Service Composition Modeling and Formal ...