In this study,we introduce a novel multi-objective optimization model tailored for modern manufacturing,aiming to mitigate the cost impacts of operational disruptions through optimized corrective maintenance.Central t...In this study,we introduce a novel multi-objective optimization model tailored for modern manufacturing,aiming to mitigate the cost impacts of operational disruptions through optimized corrective maintenance.Central to our approach is the strategic placement of maintenance stations and the efficient allocation of personnel,addressing a crucial gap in the integration of maintenance personnel dispatching and station selection.Our model uniquely combines the spatial distribution of machinery with the expertise of operators to achieve a harmonious balance between maintenance efficiency and cost-effectiveness.The core of our methodology is the NSGA Ⅲ+Dispatch,an advanced adaptation of the Non-Dominated Sorting Genetic Algorithm Ⅲ(NSGA-Ⅲ),meticulously designed for the selection of maintenance stations and effective operator dispatching.This method integrates a comprehensive coding process,crossover operator,and mutation operator to efficiently manage multiple objectives.Rigorous empirical testing,including a detailed analysis from a taiwan region electronic equipment manufacturer,validated the effectiveness of our approach across various scenarios of machine failure frequencies and operator configurations.The findings reveal that the proposed model significantly outperforms current practices by reducing response times by up to 23%in low-frequency and 28.23%in high-frequency machine failure scenarios,leading to notable improvements in efficiency and cost reduction.Additionally,it demonstrates significant improvements in oper-ational efficiency,particularly in selective high-frequency failure contexts,while ensuring substantial manpower cost savings without compromising on operational effectiveness.This research significantly advances maintenance strategies in production environments,providing the manufacturing industry with practical,optimized solutions for diverse machine malfunction situations.Furthermore,the methodologies and principles developed in this study have potential applications in various other sectors,including healthcare,transportation,and energy,where maintenance efficiency and resource optimization are equally critical.展开更多
This paper analyzes the total movement period of the development of the world telecommunication industry, and points out the basic principles of the supply and demand regulation and the market drive are important and ...This paper analyzes the total movement period of the development of the world telecommunication industry, and points out the basic principles of the supply and demand regulation and the market drive are important and useful to the telecommunication industry. The thesis puts forward the pertinent evaluation and the positive suggestions according to the general characteristics and individual characteristics of Chinese telecommunication industry and emphasizes the meaning of the demand drive.展开更多
In relay-assisted cooperative communication,relay nodes help forwarding the information of a source node in case of link failure between the source and a destination.Although user cooperation improves the overall effi...In relay-assisted cooperative communication,relay nodes help forwarding the information of a source node in case of link failure between the source and a destination.Although user cooperation improves the overall efficiency of the network,it requires incentive to stimulate potential relay nodes to assist the source by forwarding its data to the destination.Moreover,the potential relays are better informed than the source about their channel conditions to destination,which results in asymmetric information between the source and the relays.In this paper,we study the problem of lack of forwarding incentive in cooperative communication when channel state information of relays is private information and not known by the source.To tackle this problem,we apply the principle of contract theory to a cooperative wireless system.Source first designs incentive compatible and individually rational contract,consisting of a set of power-credit pairs.Then it broadcasts contract items to nearby nodes.Once the source node receives reply messages from the volunteer relays,it chooses one or more relays based on its requirements and communication starts.Simulation results show how credit assignment works in order to stimulate relays to cooperate and prevents relays from cheating behavior.展开更多
In the age of information explosion,big data has brought challenges but also great opportunities that support a wide range of applications for people in all walks of life.Faced with the continuous and intense competit...In the age of information explosion,big data has brought challenges but also great opportunities that support a wide range of applications for people in all walks of life.Faced with the continuous and intense competition from OTT service providers,traditional telecommunications service providers have been forced to undergo enterprise transformation.Fortunately,these providers have natural and unique advantages in terms of both data sources and data scale,all of which give them a competitive advantage.Multiple foreign mainstream telecom operators have already applied big data for their own growth,from internal business to external applications.Armed with big data,domestic telecom companies are also innovating business models.This paper will introduce three aspects of big data in the telecommunications industry.First,the unique characteristics and advantages of communications industry big data are discussed.Second,the development of the big data platform architecture is introduced in detail,which incorporates ve crucial sub-systems.We highlight the data collection and data processing systems.Finally,three internal or external application areas based on big data analysis are discussed,namely basic business,network construction,and intelligent tracing.Our work sheds light on how to deal with big data for telecommunications enterprise development.展开更多
基金support from the National Science and Technology Council of Taiwan(Contract Nos.112-2221-E-011-115 and 111-2622-E-011019)the support from Intelligent Manufacturing Innovation Center(IMIC),National Taiwan University of Science and Technology(NTUST),Taipei 10607,Taiwan,which is a Featured Areas Research Center in Higher Education Sprout Project of Ministry of Education(MOE),Taiwan(since 2023)was appreciated.
文摘In this study,we introduce a novel multi-objective optimization model tailored for modern manufacturing,aiming to mitigate the cost impacts of operational disruptions through optimized corrective maintenance.Central to our approach is the strategic placement of maintenance stations and the efficient allocation of personnel,addressing a crucial gap in the integration of maintenance personnel dispatching and station selection.Our model uniquely combines the spatial distribution of machinery with the expertise of operators to achieve a harmonious balance between maintenance efficiency and cost-effectiveness.The core of our methodology is the NSGA Ⅲ+Dispatch,an advanced adaptation of the Non-Dominated Sorting Genetic Algorithm Ⅲ(NSGA-Ⅲ),meticulously designed for the selection of maintenance stations and effective operator dispatching.This method integrates a comprehensive coding process,crossover operator,and mutation operator to efficiently manage multiple objectives.Rigorous empirical testing,including a detailed analysis from a taiwan region electronic equipment manufacturer,validated the effectiveness of our approach across various scenarios of machine failure frequencies and operator configurations.The findings reveal that the proposed model significantly outperforms current practices by reducing response times by up to 23%in low-frequency and 28.23%in high-frequency machine failure scenarios,leading to notable improvements in efficiency and cost reduction.Additionally,it demonstrates significant improvements in oper-ational efficiency,particularly in selective high-frequency failure contexts,while ensuring substantial manpower cost savings without compromising on operational effectiveness.This research significantly advances maintenance strategies in production environments,providing the manufacturing industry with practical,optimized solutions for diverse machine malfunction situations.Furthermore,the methodologies and principles developed in this study have potential applications in various other sectors,including healthcare,transportation,and energy,where maintenance efficiency and resource optimization are equally critical.
文摘This paper analyzes the total movement period of the development of the world telecommunication industry, and points out the basic principles of the supply and demand regulation and the market drive are important and useful to the telecommunication industry. The thesis puts forward the pertinent evaluation and the positive suggestions according to the general characteristics and individual characteristics of Chinese telecommunication industry and emphasizes the meaning of the demand drive.
文摘In relay-assisted cooperative communication,relay nodes help forwarding the information of a source node in case of link failure between the source and a destination.Although user cooperation improves the overall efficiency of the network,it requires incentive to stimulate potential relay nodes to assist the source by forwarding its data to the destination.Moreover,the potential relays are better informed than the source about their channel conditions to destination,which results in asymmetric information between the source and the relays.In this paper,we study the problem of lack of forwarding incentive in cooperative communication when channel state information of relays is private information and not known by the source.To tackle this problem,we apply the principle of contract theory to a cooperative wireless system.Source first designs incentive compatible and individually rational contract,consisting of a set of power-credit pairs.Then it broadcasts contract items to nearby nodes.Once the source node receives reply messages from the volunteer relays,it chooses one or more relays based on its requirements and communication starts.Simulation results show how credit assignment works in order to stimulate relays to cooperate and prevents relays from cheating behavior.
基金supported partially by Key Program of National Natural Science Foundation of China(No.61631018)the Funda-mental Research Funds for the Central Universities and Huawei Technology Innovative Research on Wireless Big Data.
文摘In the age of information explosion,big data has brought challenges but also great opportunities that support a wide range of applications for people in all walks of life.Faced with the continuous and intense competition from OTT service providers,traditional telecommunications service providers have been forced to undergo enterprise transformation.Fortunately,these providers have natural and unique advantages in terms of both data sources and data scale,all of which give them a competitive advantage.Multiple foreign mainstream telecom operators have already applied big data for their own growth,from internal business to external applications.Armed with big data,domestic telecom companies are also innovating business models.This paper will introduce three aspects of big data in the telecommunications industry.First,the unique characteristics and advantages of communications industry big data are discussed.Second,the development of the big data platform architecture is introduced in detail,which incorporates ve crucial sub-systems.We highlight the data collection and data processing systems.Finally,three internal or external application areas based on big data analysis are discussed,namely basic business,network construction,and intelligent tracing.Our work sheds light on how to deal with big data for telecommunications enterprise development.
