Research On Resource Scheduling Of Module Assembly Units Under Aircraft Nose Assembly Pulsating Beat Constraints

The aircraft nose is an important part of the aircraft,and its production capacity and speed are closely related to the overall assembly ability of the aircraft.The aircraft nose assembly workshop has the production characteristics of assembly line pulse assembly and module unit production and supply.The timely delivery of modules is an important condition to ensure the normal pulsation of the assembly line.However,at present,the static rated working hours used for personnel allocation in the production workshop are inconsistent with the dynamic changes in actual manual operations,which easily cause the disjunction between planning and execution.In the aspect of human resource allocation in the workshop,enterprises tend to rely on the experience of managers and adopt manual arrangement,which easily lead to the problem that resources do not match production tasks.At the same time,with the gradual increase in the production requirements of the machine head batch,the task volume and complexity of personnel allocation are also gradually increasing,and effective allocation methods are urgently needed.In the scheduling of workshop equipment resources,the traditional simple management mode of "application-allocation" is no longer suitable for the production mode with strict requirements on the current construction period,and there is no timely response method to random disturbance events in the workshop.Therefore,this thesis focused on the module assembly unit under the pulsating beat constraint of civil aircraft nose assembly,and conducted the following research from three aspects: dynamic laborhour estimation,human resource allocation,and equipment resource scheduling.Firstly,in response to the problem of significant deviation between planned and actual production and execution disconnection caused by enterprises planning production tasks,operation time,and personnel composition by referring to fixed working hours,the factors that affect personnel assembly efficiency were analyzed and quantified.A dynamic working hour estimation model with non-linear correction of fixed working hours was constructed,and the effectiveness of the model was verified by sampling actual production data from the workshop.Secondly,in response to the human resource allocation problem of module assembly units under the constraint of pulsating beat,a mathematical model was constructed with the goal of minimizing human resource cost,considering the delivery time constraints generated by the number of assembly lines,the start time of each line,and the pulsating beat,as well as the spatial and process constraints of module assembly units.And designed a fusion algorithm of simulated annealing and particle swarm optimization to solve the integration problem of team allocation and task allocation.The feasibleness of the model and the high quality of the algorithm were verified through simulation.Finally,in order to solve the limited equipment resource scheduling problem with flexible operation characteristics and random fault disturbance under the pulsating beat constraint,an equipment resource scheduling model with the goal of minimizing the maximum delay time of module delivery and a rescheduling model that takes into account both equipment change cost and product delay time cost were constructed.An improved particle swarm optimization algorithm was used to generate the initial scheduling scheme.Established event-driven partial/complete rescheduling and right-shift rescheduling dual rescheduling methods.The feasibleness of the model and method was verified by examples.This thesis gave basic research ideas and effective reference algorithms for the resource scheduling problems of assembly units with similar assembly line pulsating beat constraints.