Intelligent Scheduling And System Development For Flexible Production Planning Of Marine Fittings

Although economic globalization has given the shipbuilding industry the opportunity of rapid development,it has also intensified the market competition among shipbuilding enterprises.To carry out industrial upgrading and reduce production cost has become the inevitable way for ship enterprises under the new situation.Ship fittings have multi-species,small batch production characteristics,in China’s ship enterprises still mainly use the traditional production model.There will be low level of informationization of pipe fittings production design,poor scheduling ability and pallet management integration is not ideal,resulting in high manufacturing costs.It seriously affects the construction cycle of the whole ship.Therefore,this thesis addresses the above problems,combines the production work characteristics of the pipe fitting processing workshop of shipyard H,adopts the method of combining theoretical modeling and computer simulation modeling for the pipe fitting processing workshop production line,and introduces artificial intelligence algorithm into the production model,and then builds the ship pipe fitting information management system.It realizes reasonable macroscopic scheduling of resources and pipe fittings and improves the closed-loop control of production management system.Thus,the scheduling and scheduling ability and production operation management level of the pipe fitting workshop of the shipbuilding enterprise can be improved,and the foundation for the implementation of intelligent manufacturing in the pipe fitting processing workshop of the shipbuilding enterprise can be laid.The main research work of this thesis is as follows:(1)The main problems in the production scheduling of the ship’s pipe fitting processing workshop are analyzed,the production model and production process of the ship’s pipe fitting processing workshop are introduced,and the characteristics of the production scheduling problem of the pipe fitting processing workshop are explored.The object-oriented Petri net technology is used to construct the constraint relations of each equipment and workpiece in the pipe fitting processing workshop system,and provide the model basis for the implementation of the optimization algorithm.(2)For the production scheduling problem of the ship’s pipe fitting processing plant,the mathematical modeling of the pipe fitting plant scheduling problem is carried out with the minimum completion time as the objective.Under the framework of the basic cuckoo search algorithm,a Lévy flight adaptive step factor is proposed using an improved two-layer integer coding method,and a nest parasitic strategy based on two kinds of neighborhood local search is also designed.The algorithm is applied to the production model of the enterprise and verified by Plant Simulation modeling simulation to demonstrate the feasibility of the algorithm.(3)Based on the production scheduling problem of pipe fitting processing plant with single resource constraint,the scheduling problem of marine pipe fitting production plant with dual resource constraint of equipment and production auxiliary resources is studied.An improved cuckoo algorithm solving the process information dimension,equipment dimension,and auxiliary resource dimension is designed to solve it,and a simulated annealing algorithm is introduced to verify the excellent scheduling characteristics in effectively avoiding equipment and resource conflicts.(4)The actual needs of the pipe fitting workshop scheduling process are analyzed,and the pipe fitting workshop information management system,which meets the requirements of pipe fitting processing scheduling,is built and developed by combining the production management system architecture and key information management technologies,around system requirement analysis,system architecture and functional module design.It realizes the information integration of pipe production planning management and improves the management level of the workshop.