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Application Research On Order Distribution And Cobalt Source Rod Arrangement In Irradiation Enterprises

Posted on:2022-10-04Degree:MasterType:Thesis
Country:ChinaCandidate:Z K LiFull Text:PDF
GTID:2518306734957639Subject:Master of Engineering
Abstract/Summary:PDF Full Text Request
In recent years,with the promotion of nuclear technology in the civilian field,the scale of my country's irradiation processing industry is rapidly expanding.Under the background of this industry,some key issues that restrict the development of enterprises have gradually emerged.Based on a large domestic irradiation processing enterprise,this paper mainly solves the problem of order distribution and cobalt source bar arrangement under the actual operating environment of the enterprise,with the goal of improving the economic efficiency and comprehensive strength of the enterprise,and has designed and developed the order distribution and cobalt source The information system with rod arrangement as the main function solves the two main problems that have long plagued the development of irradiation processing enterprises.After introducing the operation process of the irradiation processing enterprise,this article analyzes the order allocation problem in detail to solve the problem of low efficiency and error-prone reliance on manual booking of orders.Because the sub-factories of the irradiation processing enterprises are distributed all over the country,and each factory receives a large number of orders every day.Therefore,this article introduces the concept of time period in order distribution,assuming that the order tasks and factories in each time period are static and unchanged.After the order task model and the factory model are formally defined,they are transformed into a bipartite graph matching problem.Based on the introduction of distribution scores,the Hungarian algorithm is used to obtain the optimal match,and the shortest path priority principle is used in the optimal match set for order task assignment.Compared with the reliability-based task allocation algorithm,the algorithm in this paper has obvious advantages in the three evaluation indexes of optimal allocation score,average allocation distance and total allocation score.This algorithm improves the efficiency of order allocation for irradiation processing enterprises,while reducing the losses caused to enterprises and customers due to unreasonable order allocation.The cobalt source irradiation device is the core equipment of the irradiation processing enterprise,and its utilization rate directly affects the processing cost of the enterprise.The main method to improve the utilization rate of the cobalt source is to arrange the cobalt source source rods in the irradiation device reasonably.In this paper,after analyzing the characteristics of ?-rays and the operating principle of the irradiation device,the cobalt source frame is modeled mathematically,the objective function of the cobalt source rod arrangement problem is determined,and the genetic algorithm is used to solve the problem.The random league selection method is used as the selection operator,and the crossover operator is removed to prevent illegal codes from being generated in the crossover operation.At the same time,the mutation operator is specially designed.Experiments have proved the feasibility of the proposed algorithm in solving the problem of cobalt source source rod arrangement.On the basis of the above research,the functional modules of the irradiation enterprise order distribution and source bar arrangement system are designed.The system adopts the B/S architecture model and realizes the code logic through the PHP language.The system not only improves the company's own market competitiveness,but also brings better service to customers,and to a certain extent solves the problem of the allocation of orders for irradiation processing companies and the arrangement of cobalt source rods.
Keywords/Search Tags:Irradiation processing enterprise, Order allocation, Hungarian algorithm, Cobalt source rod arrangement, Genetic algorithm
PDF Full Text Request
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