| Steel companies generally have multiple production lines,and a large number of logistics crossovers occur in production.Enterprises how to optimize scheduling to make the production organization more organized,enterprise production organization more orderly and production load balanced.The logistics are closely linked to ensure production flexibility,product quality and delivery on time.At the same time,it is also an important problem for steel companies to reduce production costs and improve economic efficiency.This thesis combines the actual background of the production process of alloy steel bar in a steel company in China,and studies the process optimization problem in the contract planning system.The main work is as follows:(1)According to the analysis of the research status of the process optimization problems studied in this thesis,the research and application status of the genetic algorithm and simulated annealing algorithm used in this thesis are reviewed.(2)A mathematical model aiming at maximizing the total weight of process priority is established for the process optimization problem and the model is accurately solved by CPLEX.The calculation experiment is carried out for small and medium scale problems,and the model is verified by experiments.The genetic algorithm that meets the characteristics of the problem is designed.The validity and correctness of the algorithm are verified by designed examples.(3)A simulated annealing algorithm that can solve larger scale problems is designed for the process optimization problem.The simulated annealing algorithm is verified by designing some large-scale problem examples.The experimental results show that the simulated annealing algorithm is better than the genetic algorithm.(4)Design and development of the alloy steel bar production process contract planning system.In view of the enterprise’s demand for process optimization module,the process optimization algorithm is the core,and the process optimization system function module is added to the existing contract planning system.The application verification of the system through actual cases shows that the functional module can provide a better solution for users. |