Research MRO In Service Scheduling Problems

With the customer demand for personalized and diversification, majorcompanies have repair and maintenance products as an important part of theirdevelopment. Therefore, it is important to choose the appropriate maintenancepersonnel to provide satisfactory services to improve the influence andcompetitiveness of the enterprises.This paper summarized the situation of MRO and the status of maintenancescheduling services, researched on the problem of the maintenance personnelselected and path choices. The specific content is as follows:(1) According to the maintenance personnel selected problem, it isestablished a model on dispatching maintenance personnel scheduling about theproblem of selected personnel. Designed a kind of intelligent selected methodbased on genetic algorithm. The algorithm adopted the basic model of geneticalgorithm, and encoding used the employee number directly. This method issimple and effective without decoding. Two maintenance tasks appointpersonnel issues simulation results show that the validity of the model andalgorithm, greatly improving the efficiency of the scheduling staff.(2) It is established a mathematical model of the shortest path for a singleobjective, analyzed the drawback of the genetic algorithm and put forward aimproved method. It is judged the similarity of the individual to increase thediversity of population, improved the convergence speed. Finally, the results ofthe traditional genetic algorithm and improved genetic algorithm were comparedand analyzed.(3) The brief overview of some basic concepts and framework aboutmulti-objective evolutionary algorithm. And mainly studied the NSGA-IIalgorithm, and test the function of the ZDT series to experimental verification.Then, established a multi-objective optimization model that the shortest distanceand cost least, it is solved by using the NSGA-II algorithm. Four results areanalyzed, which indicated that the multi-objective model obtained multiple sets of non-dominated solutions and provided a variety of choices. It is morepractical to meet the requirements of decision makers.