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Research On The Key Technologies Of Manufacturing Business Process Collabration Based On Web Service

Posted on:2014-01-18Degree:DoctorType:Dissertation
Country:ChinaCandidate:W TanFull Text:PDF
GTID:1222330401460259Subject:Mechanical Manufacturing and Automation
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With the development of networked manufacturing and informationtechnology,especially with the deepening application of Web services in Cloud manufacturing,more and more enterprises’ resources are put on the Internet for sharing. These cyber sourceswith heterogeneous, distributed and different functions are more complex than purecomputational resources. They formed a big manufacturing resource pool via the publicnetwork. Users can pay to use them according to their needs. The manufacturing mode basedon Web services can help manufacturing enterprise form the end-to-end connection, and helpcompanies promote collaborative ability which individual department or single enterprisecan’t have. It can help enterprises reduce the cost of investment and just need to focus on theircore business capacity management, while handing out their some business to one or moreother enterprises or organizations to complete, i.e., to seek business process collaboration.With the deepening research and application of Web services, more and more enterprisespackage their own resources as Web services to publish on the Internet. Enterprise businessprocess collaboration can be realized through Web services. Application of Web services hassome common technologies, such as Web service encapsulation of resources, resource serviceorganization and storage, Web service discovery and optimization, and security etc. And thesetechnologies are often related to each other, as a unified whole, and any weak link willweaken the ability of application. From the point of view of the architecture based on Webservices and aimed at manufacturing business process collaboration, manufacturing resourcesand their service encapsulation, the storage of manufacturing business services(hereinafterreferred to as manufacturing services), then the requirement and resource discovery, and theoptimal allocation of resources are investigated as follows:Collaborative manufacturing architecture based on Web-services.Previous studiespay too much attention to public service center for registration and publication,while not payenough attention to the resource service in enterprise ends. Based on the traditional Web-service architecture, from the end of enterprise, the realization mechanisms of enterpriseresource service registration and foreign mutual are given to create the basic of resource interchange between enterprises.Manufacturing resource modeling and service encapsulation. In view ofmanufacturing enterprises paying more attention to the business process, especially with theimprovement of manufacturing automation, this trend is increasing day by day. Based on thepractical background, a multi-granularity resources unified model based on business processis put forward, and then a multi-granularity service unified model is constructed. Themulti-granularity resource construction process, and the service encapsulation method aregiven. And then the process resource ontology and activity Ontology are built. These modelsprovide conditions for the following resources discovery and optimizated composition.Manufacturing service organization. In view of different locations of differententerprise with a certain regional character, combined with the manufacturing enterprises’economic environment, as in the manufacturing background of such as promoting regionaleconomy, scale economy, cluster economy, industry cluster and so on, resources’organizational structure based on hierarchical tree network and adaptive service organizationstructure based on geographic region are put forward. The former’s resources are storedaccording to the administrative level of geographic aggregation, so that resources can berealized from the enterprise to a wider range of collaborative sharing. The latter’resources aregathered based on the industry classification tree and combined with a certain geographical,so that virtual organization resources organization is first formed into a certain geographicrange, and then can achieve a more wide range based resource sharing through these regionalnode based on P2P.Demand achievement and manufacturing resources discovery. In view of users’needs are generally very fuzzy, a business interface is provided for the user to providecustomized process and can edit constraint conditions for process activities.And then user’srequirements for process service are gathered through the XML file format. A representationmethod based on the description method of business process string is proposed. Businessprocesses are organized according to the business type. Standard process templates are used tounify user’s demand, simplify user’s operation and system’s complexity, and facilitateinformation consistent expression. To accurately find Web services, semantic Web services technology is introduced, and the multi-granularity services are labeled and packaged basedon business domain Ontology and OWL-S. A matching method of three stages ofmulti-granularity resources is given by using extended UDDI to store services, i.e., servicefunction matching, business process matching and QoS screening, while business processmatching is done by using one new method of transformation and string distance computingof business process string, which simplifies process matching.Optimized composition of manufacturing services. A combination model for mixedsize manufacturing services is proposed based on business process chain. On the traditionalQoS description, a improved QoS based on the introduction of logistics index is proposed,which is further applied to services composition problems. A genetic algorithm is used tosolve the combinatorial optimization problem of mixed size services, including arrangementof chromosomes based on business process string sequence, coding chromosome by usinginteger fixed length, providing the related settlement mechanism of genetic manipulation ofcrossover and mutation for service relationship caused by logistics index, providing the ruleof the crossover and proving that multiple paths crossover can be realized in thecorresponding position on the cross by the fixed length chromosome, and avoiding thecomplexity of crossover point parameter matching.Development of the prototype system. The development and application testing aredone for the related contents in this paper. Based on development environment of JUDDI,MyEclipse and so on, the preliminary prototype system is designed and implemented,including Web service registration, customization of manufacturing process task andrequirement achievement, the service discovery and matching and resources’ optimizatedcomposition.
Keywords/Search Tags:business process collaboration, the network organization structure, multi-granularity manufacturing resource, process resource ontology, activity Ontology, QoS, logistics index, Service composition, genetic algorithm
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