| With the increasingly fierce competition in the manufactural market,manufactural companies with production orders as the core have gradually begun to develop in the direction of multi-variety,variable batch size,cycle shortening,lean production.Due to the lack of a scientific evaluation system and subjective awareness,the traditional way of manning job allocation results in people unable to make the most of their work and low production efficiency.Traditional scheduling methods are difficult to obtain optimal scheduling plans under multiple constraints due to limited manual computing capabilities.Therefore,this paper takes the multi-skilled personnel scheduling and scheduling method in the MES system of the construction machinery assembly workshop as the main research object and conducts mathematical modeling and example simulation to verify its benefit maximization.The main research contents are as follows:Firstly,Aiming at the problem that the traditional staffing method of the assembly line is easily affected by subjective consciousness,and the team leader has limited awareness of personnel capabilities,it is difficult to optimize the deployment of personnel and posts.The processing data such as time efficiency,pass rate,and completion rate of multi-skilled personnel in the assembly process are used as evaluation indicators,and the entropy method in the objective weighting method is adopted to determine the weight coefficient of each evaluation index.This paper proposes a calculation method for the competence index of each skill of multi-skilled personnel.To maximize the total competency index value of the assembly line,the optimization model of multi-skilled personnel scheduling is constructed with the constraint of the relationship of personnel and post configuration.An improved Hungarian algorithm to solve the optimization model of personnel scheduling is proposed,which realizes the optimization of the deployment of multi-skilled personnel and workstations on the assembly line.Taking the man-post configuration of the multi-model MCV mixed-flow assembly line of M company as an example,the simulation results show that the improved Hungary algorithm can effectively solve the optimization problem of the multi-skilled personnel configuration of the assembly line,effectively avoid the waste of resources,and increase the production efficiency by 10.95%～12.86%.Secondly,Because of the complex constraints of the mixed-flow assembly line for multimodel products of construction machinery,the limited calculation capacity of manual production,it is difficult to obtain the optimal scheduling plan.Through the general description of the scheduling problem of the mixed-flow assembly line,the optimization goal is to minimize the maximum cycle completion period of mixed-flow assembly of multi-model products,and the production scheduling and scheduling optimization model of the mixed-flow assembly line is constructed.Combining the rapid convergence characteristics of genetic algorithm and the feature that the Metropolis criterion of simulated annealing algorithm overflows with local optimality,a genetic simulated annealing algorithm is proposed to solve the scheduling optimization model of the mixed-flow assembly line,and realize the optimization of production scheduling of mixed-flow assembly line of multi-model products.Taking the scheduling arrangement of the multi-model MCV mixed-flow assembly line in the construction machinery assembly workshop of M company as an example,the simulation results show that the genetic simulated annealing algorithm can effectively solve the optimization problem of the mixed-flow assembly line scheduling arrangement,and the mixed-flow assembly cycle period is shortened by 31.1min～43.7min.The production efficiency is increased by 18.2%～23%.Thirdly,This paper develops the MES system of construction machinery assembly workshop.From bottom to top,the system is divided into database layer,server layer,data access layer,business logic layer,user interface layer,and front-end UI layer.The database layer mainly conducts dynamic management and real-time update of various data of the system;the server layer provides top-level support for the normal operation of the system and the interaction of system software and hardware;the data access layer realizes the information interaction between the upper-layer business and the lower-layer database by concretizing the business;the business logic layer mainly processes logic calculation examples for specific functions of the system,and responds to front-end user instructions promptly;the user interface layer and the front-end UI layer mainly include modules such as production management,quality management,inventory management,equipment management,and basic data management.Users only need to select the functions in the corresponding modules to operate according to their needs,and the business logic layer will respond in time. |
