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Received:December 16, 2014 Revised:March 09, 2015
Received:December 16, 2014 Revised:March 09, 2015
中文摘要: 针对电梯维修过程中存在的维修不足与维修过剩问题, 提出利用有限的维修资源对电梯系统进行维修, 使得电梯维修后的可靠度达到最高. 在此基础上, 给出了选择性维修模型的假设条件, 以可靠度为目标函数, 建立了一种非线性、离散的约束规划, 采用改进粒子群算法对电梯系统中各个元件的维修程度进行迭代寻优, 包括粒子的表示、适应度函数、更新公式、算法流程等. 最后, 通过对具体实例进行求解, 分析表明该模型与算法可以有效地优化维修决策方案, 提高电梯系统运行的可靠度, 同时为决策者制定决策提供指导.
Abstract:In order to solve the problem of deficiency and excess repair maintenance in the process of elevator system, a resource constrained maintenance of elevator system with the highest reliability is studied. Firstly it expounds the model assumption and create the reliabilty as the objection function. A discrete and nonlinear constrained programming model is established. Then, it gives a simulation based PSO to solve the problem, and it includes particle representation, fitness function, update methods and algorithm process. Finally, there is an example to show tthat the model and algorithm can effectively optimize the maintenace decsion scheme and improve the reliability. It can also provides guidance for decision makers.
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陈兆芳,张岐山.基于粒子群算法的电梯系统选择性维修模型.计算机系统应用,2015,24(8):229-233
CHEN Zhao-Fang,ZHANG Qi-Shan.Selective Maintenance Decision of Elevator System Based on Particle Swarm Optimization.COMPUTER SYSTEMS APPLICATIONS,2015,24(8):229-233
陈兆芳,张岐山.基于粒子群算法的电梯系统选择性维修模型.计算机系统应用,2015,24(8):229-233
CHEN Zhao-Fang,ZHANG Qi-Shan.Selective Maintenance Decision of Elevator System Based on Particle Swarm Optimization.COMPUTER SYSTEMS APPLICATIONS,2015,24(8):229-233
