Research And Implementation Of Human Resource Scheduling In Mail Distribution Center

The mail distribution center is the key link of the entire postal physical delivery network.It is a production operation place where postal enterprises sort and process the physical items delivered by the public.It occupies an important position in the entire postal industry chain.With the continuous development of society and economy,the infrastructure construction of the mail distribution center has been gradually improved.With the gradual stabilization of the process arrangement and the equipment utilization rate,the reasonable allocation of personnel has become the focus of the distribution center to improve the efficiency of the enterprise.Based on the analysis of the complex personnel organization relationship and mail processing business process of the mail distribution center,this paper first abstracts and establishes a mathematical model,then studies related algorithms to solve it,and finally realizes the development of the human resource scheduling management system.The main tasks are as follows:First,the paper investigates and analyzes the business process rules and internal organization relationships of the mail distribution center,and then converts the complex practical problem into single-skilled and multi-skilled human resource scheduling problems according to the work characteristics of employees and the strategic management plan of the mail distribution center,finally builds a complete mathematical model.Next,the single-skilled human resource scheduling problem is studied.Based on the basic ant colony algorithm,the priority-based replacement coding method is used to improve the calculation speed of the algorithm,and the improved 2-opt algorithm is added to improve the local search ability of the algorithm.It uses the improved algorithm to solve the PSPLIB data set,and compares with the known optimal solution of the data set and the results of the basic ant colony algorithm,showing that the improved algorithm has faster convergence speed and stronger optimization ability.And the results of the improved ant colony algorithm on the actual data of the mail distribution center show that the algorithm is an effective method for solving the single-skill human resource scheduling problem.Then,the multi-skilled human resource scheduling problem is studied.Based on the basic genetic algorithm,the niche selection based on group sharing is integrated,and under the guidance of the elite retention strategy,repair and verification mechanisms are increased into the process of chromosome crossover and mutation.It uses the improved genetic algorithm to solve the i MOPSE data set,and compares with the basic genetic algorithm and the hybrid ant colony algorithm,showing that the improved algorithm has faster searching speed,stronger optimization ability,and better robustness and stability.In addition,the improved genetic algorithm can give the scheduling results quicker and better than the original scheme when processing the actual data of the mail distribution center,which shows the effectiveness of the algorithm in dealing with this problem.Finally,combined with the system requirements,the paper designs and implements the Web and Android sides of the human resource scheduling management system of the mail distribution center.Based on the six-layer software architecture,it incorporates two improved algorithms,clearly displays the scheduling scheme in the form of a Gantt chart,improves the efficiency of corporate information disclosure by means of message push,and adds cache mechanisms at the front and back ends to speed up data processing to improve system performance.