Product Lifecycle Big Data-driven Approach Of The Integrated Service For Design & Operation And Maintenance

With the development and progress of new generation of information technologies and advanced data analytics technologies,the current transformation of product lifecycle management(PLM)for complex products in manufacturing industry has presented the following characteristics: the interconnection of lifecycle data,the synchronization of cross-enterprise business process,the individualization of product and service demand,and the servitization of production and operation activities.Under this background,in order to meet the personalized and diversified lifecycle manufacturing service requirements of users on product design,manufacturing operation,and maintenance service,the geographically-distributed heterogeneous manufacturing resources,stakeholders of different lifecycle stages and complex products are facing new challenges: how to form a large-scale collaborative and synergistic mechanism of lifecycle business activities through ubiquitous interconnection,dynamic interaction and integrated sharing among above-mentioned physical entities(i.e.manufacturing resources,stakeholders and products),and to enable these entities to participate the whole PLM process in an autonomous fashion.Although the traditional lifecycle management patterns and service approaches have made good progress in product design and operation & maintenance services,there is a lack of systematic solutions and key enable technologies to address the above-mentioned requirements and challenges.Therefore,this thesis takes the lifecycle management of complex product as the research object,and mainly focuses on the “product lifecycle big data-driven approach of the integrated service for design & operation and maintenance(PLBD-IS-DOM)”.Based on analysis of the connotation of “big data-driven product lifecycle management(BD-PLM)”,the framework and operation logic of PLBD-IS-DOM are proposed,and the key enable technologies including big data acquisition and integration,product/service design,and active preventive maintenance for PLBD-IS-DOM carrying out are studied in detail.On this basis,manufacturing enterprises can proactively provide productive service and service-oriented production for various stakeholders by the following manners: the ubiquitous interconnection and dynamic interaction among physical entities,data assets,and business processes of the whole product value chain and the entire product lifecycle;and the organization and management mechanisms based on internal and external collaboration.As a result,the flexibility,efficiency and autonomy of lifecycle manufacturing service for cross-enterprise and cross-lifecycle stages can be improved.The main innovations and research contents of this thesis are concluded as follows:(1)In order to meet the characteristics and requirements of current manufacturing industry,a BD-PLM mode and system framework is proposed.Firstly,the connotation of DB-PLM mode is analyzed in detail.Secondly,a PLBD-IS-DOM is proposed together with its framework.Thirdly,the PLBD-IS-DOM’s characteristics from the perspective of work pattern and operation mode are analyzed,the PLBD-IS-DOM’s synergistic operation logic is described,and the three key enabling technologies to support its carrying out are extracted;(2)In order to meet the requirements of data ubiquitous interconnection for cross-enterprise and cross-lifecycle stages,a multi-mode hybrid technology for acquiring and integrating the product lifecycle big data is proposed.Firstly,taking the typical stages of product lifecycle as the main line,the content and characteristic of data for each stage are analyzed.Secondly,the active acquisition method of business processes’ data within the enterprise,the passive acquisition method of stakeholders’ data outside the enterprise,and the automatic acquisition method of proactive perceiving of cross-enterprise’ data are elaborated respectively.Thirdly,a multi-mode hybrid framework for acquiring and integrating the product lifecycle big data is designed;(3)In order to meet the requirements of closed-loop innovation in product/service design,a product/service design method collaboratively driven by multi-source data of operation and maintenance process is proposed.Firstly,a hierarchical model of user requirement based on operation and maintenance processes is established.By analyzing the interactive relationship among stakeholders in each operation and maintenance stage,the user requirements are identified and derived,and then the group decision theory is used to rank the importance of user requirements.Secondly,the interaction diagram model of product/service function-property,and the product/service house of quality model based on multi-granularity mixed language variables are established respectively,to realize the quantitative map of user requirements to technical attributes;(4)In order to meet the requirements of dynamic forecast of product operation and maintenance services,a real-time and active preventive maintenance method based on the operation and maintenance big data is proposed.Firstly,a preventive maintenance method based on the real-time operation and maintenance data is proposed,meanwhile,maintenance resource scheduling model is constructed to realize the response of maintenance services in a timely manner.Secondly,based on the historical operation and maintenance data,a prediction model of the residual effective lifetime for product’s component is established,which provides decision-making support for accurate planning and implementation of the preventive maintenance plan;(5)Based on the above-mentioned key enabling technologies,a typical complex industrial product—computer numerical control machine tool,is used to simulate the two technologies proposed in this thesis: product/service design technology collaboratively driven by multi-source data of operation and maintenance process,and real-time and active preventive maintenance technology based on the operation and maintenance big data.The feasibility and validity of the theory,methods and models proposed in this thesis are verified.