Research On Optimal Allocation Of Human Resources In The Machining Workshop

With the continuous development of China’s intelligent manufacturing,a large number of manufacturing enterprises have begun to pay attention to the implementation and application of intelligent manufacturing,and one of the core of intelligent manufacturing is how to effectively optimize the allocation of various manufacturing resources.Human resources and processing equipment as two principal manufacturing resources in the production site of the machining workshop are an essential research content of resource optimization.Therefore,the thesis for multi-species and small-scale production organization model of the mechanical processing workshop,analysis of the relationship between human resources and processing equipment on the site of the workshop,the workshop site of the optimization of human resources allocation research,which is also the manufacturing enterprises to effectively carry out intelligent manufacturing,to achieve the transformation and upgrading of manufacturing enterprises and high-quality development of one of the important issues to be solved.First of all,in the mechanical processing workshop,the working time quota of the parts processing process is one of the important basic data on the production site,which directly affects the accuracy of equipment optimization scheduling and human resources optimization scheduling on the shop floor,and the determination needs to consider the comprehensive situation of equipment condition and personnel capacity.At present,the rated working hours of the process are given according to experience by managers after using the job measurement method,and due to the differentiation of parts production process due to the characteristics of multi-species small batch production,the rated working hours of the parts processing process are more difficult to predict,and the accuracy of the data needs to be further improved.In order to tackle the problem of the uncertainty of fixed working hours in parts machining process in multi-species small batch production,a neural network algorithm prediction method based on improved differential clustering and genetic algorithm is proposed.By clustering the processing parameters of the machining parts by clustering algorithm,the rated working hours of the various processes of the part processing are predicted,which lays an essential foundation for the subsequent research.Secondly,in the production process,different personnel operate the same equipment processing capacity is different,the same personnel operate different equipment processing capacity is different,that is,there is a difference in the processing capacity of personnel,resulting in the operator’s actual processing hours of different phenomena.In order to solve the problem of operator’s actual processing time,the analysis of various information affecting the processing capacity of the field operator in the workshop is analyzed,and a system of evaluation index of operator’s processing ability is constructed,and based on the theory of improving network level analysis(Analytic Network,ANP)and rough set of variable precision(Variable precision rough set,VPRS)solves the indicator weight,studies the operator’s processing capacity evaluation value,so as to determine a functional relationship between the operator’s processing capacity value,the actual operation hours and the rated working hours of the operation,and to study the estimating of the actual working hours of the operator.Example verification is performed to provide a feasible method for the actual working hours scheduled by the subsequent shop operators.Third,on the basis of the above-mentioned research,combined with the process route information and processing task of the machined parts,based on the fixed data of the part working hours and the operator’s actual working time prediction,the maximum completion time is the optimization target,the establishment of the machining workshop on-site operator scheduling model,using the improved genetic algorithm to solve the model;The optimization operator Gantt chart with the least completion time is obtained,and the feasibility of the solution model is verified in combination with the example.Therefore,it offers the opportunity of thinking to optimize the allocation of the field operator resources in the workshop.Finally,a set of machining workshop operators scheduling management system is drawn up and developed,and the relevant functional model and information model are established.The system has the functions of basic information management,time management,operator scheduling data management,operator scheduling optimization configuration management,etc.,and has been applied in the actual workshop site,promoting the standardized management of rated and actual working hours,optimizing the configuration of human resources and equipment on the spot,so as to improve production efficiency and reduce production costs.