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Research On Modeling And Algorithms Of Stowage Performance Optimization For General Aviation Logistics System

Posted on:2021-05-19Degree:DoctorType:Dissertation
Country:ChinaCandidate:H ZhangFull Text:PDF
GTID:1362330602990079Subject:Management Science and Engineering
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In 2016,the General Office of the State Council issued Guidelines on Promoting the Development of General Aviation Industry,which marks that China's general aviation industry has entered a period of rapid development.In this new stage,as a kind of general aviation application industry with the greatest potential for development,the largest industrial extension,the broadest network coverage and the closest distance to people's living needs,its broad application prospects are gradually receiving more and more attention.Therefore,the research on the characteristics of the general aviation logistics network,especially the distribution and stowage capacity and operational efficiency and performance naturally becomes a subject with extensively practical significance and important theoretical value.Basing on the way of analysis of operation structure and the evaluation of macro-system performance,this thesis will research and analyze the process of stowage performance optimization on the levels including the core function units level,the local subsystem level and the whole air-route network system level,which compose the operational system and network of general aviation logistics.In the process of researching and solving these problems,by improving and redesigning the logic flow and algorithm structure of the classical Genetic Algorithm,a new PSGA algorithm is proposed,which further improves the performance and operation quality in the process of optimization problem solution.Specifically,the research work of this thesis mainly includes:(1)Analyzed and built a Petri Net model of units composition and operation characteristics of the general aviation logistics stowage system.According to the operational characteristics of general aviation logistics business in China,this thesis preliminarily analyzed and discussed its basic unit composition,and modeled its macroscopic operation structure and state by using STPN method.Basing on the model created above,analyzed the characteristics of its dynamic business flow and the units'efficiency,and proposed the direction of development and improvement of general aviation logistics business:firstly,Paying more attention to the integrated development of general aviation transportation network and the trunk and brunch transportation network of civil aviation,fully utilizing the idle basic sharing resources and spare stowage capacity of trunk and brunch network,continuously enhancing the network service and coverage capacity of general aviation logistic business;secondly,paying more attention to the coordination and optimization of core subsystems functions in the process of stowage and operation of general aviation logistics system,constantly improving the the operation efficiency;thirdly,paying more attention to the application of intelligent optimization technologies in the network operation of general aviation logistics stowage system,continuously improving the system tasks' overall real-time processing capacity.(2)Created and designed a new intelligent optimization algorithm,which conforms to the performance optimization and problem research of general aviation logistics system.According to the characteristics of high frequency and multi-task of the operation network,this thesis redesigned the logic flow and structure of classical GA algorithm,and proposed a new PSGA algorithm which has variable population and special polar searching function.By creating and designing a self-adapted fitness factor(AF factor),which can adaptively adjust the process of population generation and the solution space search mode,the running efficiency and the search accuracy of optimal solution have significant improvement.Meanwhile,by comparing with the GA on running test under the limited time and same parameter environment,it shows that the PSGA algorithm is respectively 35.35%and 43.49%higher than the traditional GA algorithm in the operation efficiency;and also,the PSGA algorithm is 102 and 105 orders of magnitude higher than the G A algorithm in search accuracy.And it further proves that the PSGA algorithm has good solution quality and performance in the process of searching optimal solution,and also indicates that the new algorithm can meet the needs of analysis and solution on the stowage optimization problems of general aviation logistics system in the later chapters of this thesis.(3)Designed and established an on-board stowage performance optimization model which considered the flight characteristics during the missions.Basing on the self characteristics and flight condition of mission plane,an on-board stowage performance optimization model of general aviation logistics,which considered the influencing factors of flight performance and external task environment,was established.Taking fuel quantity,time efficiency,air-range and commercial loads efficiency in a unit mission process as parameters,the optimal parameters combination of unit flight mission of general aviation logistics was obtained by using PSGA algorithm.(4)Designed and established a performance optimization model of core subsystem of departure process.According to the macro-quantitative analysis on the Petri Net model of core operation process of the general aviation logistics system mentioned above,the features of the core mission stowage process which contains outbound process,flight fleet configuration and on-board stowage etc.are further elaborated.Meanwhile,basing on these features above,the thesis designed a multi-objective optimization model of comprehensive performance which considered goods' outbound efficiency,flight fleet allocation,constraint of mission plane's loading capacity and constraint of the bi-directional loading balance,and through solving the model for searching the optimal performance index by using PSGA algorithm,obtained the optimal task outbound strategy,optimal outbound selection strategy,optimal economic fleet size and optimal on-board balance loading strategy.(5)Designed and established a stowage performance optimization model of the air-ground integrated network of general aviation logistics system.On the basis of the optimization model of on-board stowage performance and the optimization model of departure core subsystem performance mentioned above,the thesis designed and established a multi-objective optimization model of mission stowage performance of the air-ground network system that integrated the ground subsystem and the air-route network of general aviation logistics,which considered the logistics demands of 80 certified general aviation airports in China.This model includes the index factors of mission flight condition,economical level of air-route stowage,and the selection of stowage pattern of air-route network and flight fleet size of missions.By using PSGA algorithm and basing on the data from 80 general aviation airports,the optimal strategies of the flight fleet size selection,the flight fleet mission stowage,and the air-route network stowage were obtained,under the condition of best comprehensive performance of the index factors mentioned above.And meanwhile,in the process of problem analysis,model design and model solution,the thesis further discussed the referential significance of analyzing and solving the performance optimization problems of general aviation logistics at different levels for improving the capability of practical operation and management of general aviation logistics enterprises.And pointed out that the essence of the stowage performance of general aviation logistics is the overall observation of the actually operational management process and operation effect of general aviation logistics system,which is a comprehensive evaluation of the overall operational level in the process of operation management,especially the process of stowage management of general aviation logistics enterprises,such overall observation is mainly reflected in the following aspects:the performance support and maintenance management of general aviation aircraft,the flight fleet scale building and maintenance,pilot team building and management,the cost and economical management of air-route operation,and the continuous operation plan and operation decision management,etc.,which are the core business scopes and capacities of the integrated and systematic operation process and related to the stable operation of general aviation logistics enterprises.By analyzing and studying the internal performance structure and performance level of these core operation segments in different angles and depths,it can help general aviation logistics enterprises to improve the operation quality and increase the operation scale at different business levels and scopes,and further promote continuous optimization of the operation performance.In a word,the core element of the operation management of general aviation logistics is the optimization of the key influencing factors of operation performance at different system levels.Through the research on optimization process of system stowage performance at three micro and macro levels,from the units to the subsystem to the integrated system of the core operation network of general aviation logistics,the purpose of this thesis is to do some preliminary research and practice on further improving the overall performance and intelligence level of general aviation logistics system and its operation network,which can help general aviation logistics enterprises understand the key segments and core cost elements in operation process.And furthermore,it can provide practical reference and intelligence support for the efficient operation management and development strategy management of enterprise,and also provide theory and method exploration with practical significance for the high-quality and orderly development of general aviation industry,especially the general aviation logistics industry,and make some positive contributions to the continuous extension of the industry functions and the continuous improvement of system structures.
Keywords/Search Tags:general aviation logistics, performance optimization, PSGA algorithm, fitness self-adapted factor, air-route network stowage
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