Research On The Task Allocation And Planning Of Complex Electromechanical Product Design

Complex electromechanical product development process has many aspects of complexity,and its main performance is the coupling complexity of design tasks,resulting in the complexity of design task assignment strategy.The irrationality of assigning design tasks to the design team is the main reason that leads to lengthy product development cycles,increased costs,and difficult quality assurance.Therefore,this dissertation focuses on the coupling design task set in the development process of complex electromechanical products,studied the related issues of the team assignment strategy around the coupling design task on the basis of the coupled iterative model.Firstly,for the team assignment problem of coupled design tasks,a multistage work transfer matrix(WTM)is introduced to quantify the coupling relationship between tasks in the form of rework quantity,and a multi-objective optimization mathematical model for time,cost,and quality of task assignment for serially coupled design is established on the basis of the team assignment derived matrix(TADM).The genetic algorithm is used to solve the model,and the optimal task assignment scheme for serially coupled design task is obtained.Take an electric vehicle development project as an example to illustrate the feasibility and effectiveness of the model.Then,aiming at the learning effect objectively existing in the rework process of the design team,a learning effect matrix(LEM)is proposed to quantitatively describe the learning effect of the design team.Combined with the correlation matrix introduced to establish the task design model of serial coupling design,a parallel coupled design task assignment multi-objective optimization mathematical model considering the learning effect of the design team was established.Using genetic algorithms to solve the model,we won the best allocation of tasks in parallel coupling design under consideration learning effect.Take the development project of a car hood component as an example to illustrate the feasibility and effectiveness of the model.Finally,due to the large number of effective planning solutions for large-capacity coupling design tasks,it is difficult to quickly obtain the optimal task allocation plan.By analyzing and comparing the characteristics of cluster analysis objects and the characteristics of coupled design tasks,the feasibility of cluster analysis to shorten the execution cycle of coupled tasks and to reduce the number of planning schemes is illustrated,and a new method of large-capacity coupling design task sequence planning based on clustering analysis is proposed,which was used to obtain the best execution order and the shortest execution time for coupled design tasks.Finally,the development process of a robot is taken as an example to verify the feasibility and effectiveness of the method.