| In a modern discrete manufacturing system,the process planning of all parts in a factory or workshop is one of the central aspects of manufacturing process manageme nt.Process planning is the key to reducing product manufacturing costs,improving product quality and production efficiency,and is also a problem that has not been solved well in digital design and manufacturing and quantitative CAPP.This paper will study how to plan and optimize the overall process planning for the parts groups involved in all production orders from a global perspective,in order to achieve the rational use of manufacturing resources,improve production efficiency and reduce production costs.Firstly,this paper establishes a relatively complete evaluation system of process plan based on the benefits of production enterprises and environmental benefits.At the same time,it classifies and abstracts the process resources involved in the production process,and establishes the process capability attributes of various resources.Evaluate the association between indicators.Secondly,this paper uses a tuple to describe the flexible parameter configura t io n of the resource parameters of the process,and uses the operation precedence graph to describe the priority relationship constraints between the parts and processes,in order to fully consider all feasible process plans.Based on the problem characteristics,this paper establishes a mathematical model for the process planning problem in discrete enterprises.In addition to considering the optimization of the single-part process plan,the model also optimizes the balance of the resources and minimizes the maximum completion time of the parts group to achieve the overall integration planning of process planning and shop scheduling.Aiming at the nonlinear large-scale combinatorial optimization problem of discrete enterprise parts clustering process planning,this paper adopts an excelle nt large-scale optimization algorithm firefly algorithm which is rapidly emerging in recent years to solve the problem,and the firefly algorithm is applied to solve the problem.The adaptive improvement was carried out,and the linearly decreasing inertia weighting strategy was introduced to increase the search range of the firefly algorit hm.Then,through a specific example,the firefly algorithm was used to analyze the reasonable parameters of the problem.Moreover,the correctness and effectiveness of the algorithm was verified.Finally,in order to show the effectiveness of the models and algorithms established in this paper,based on the production process of the electrical transmis s io n products in a modern discrete manufacturing enterprise,the process optimiza t io n system for the electrical transmission products was developed. |
