CAJ | 학술논문

维修工作是提高设备可靠性、保证设备正常运行的有效措施,本文建立了维修费用约束下可靠性最大的预维修计划优化模型.该模型以平均可靠性为优化目标,考虑了维修费用、维修间隔、设备运行总时间等约束.本文建立的模型为一般非线性优化问题,设计了基于全局序列二次规划方法(global sequential quadratic programming,GSQP)的改进遗传算法(GA_GSQP)进行求解.最后,在算例中以GSQP算法、遗传算法和禁忌搜索算法的优化结果作比较,分析了所设计的GA_GSQP遗传算法的优化效果.
유수공작시제고설비가고성、보증설비정상운행적유효조시,본문건립료유수비용약속하가고성최대적예유수계화우화모형.해모형이평균가고성위우화목표,고필료유수비용、유수간격、설비운행총시간등약속.본문건립적모형위일반비선성우화문제,설계료기우전국서렬이차규화방법(global sequential quadratic programming,GSQP)적개진유전산법(GA_GSQP)진행구해.최후,재산례중이GSQP산법、유전산법화금기수색산법적우화결과작비교,분석료소설계적GA_GSQP유전산법적우화효과.
Maintenance work plays an important role for the high reliability and normal operations of equipments or systems.This paper proposes a maximum reliability model of maintenance scheduling with the limitation of maintenance costs.The proposed model pursues the maximization of the average reliability of equipments considering the hmitation of maintenance costs maintenance,intervals and total runtime.An improved genetic algorithm based on GSQP(GA_GSQP)is also proposed for searching the optimal solutions because the proposed model belongs to a nonlinear optimization.In case studies,the effectiveness and efficiency of GA_GSQP are discussed by comparing with GSQP,genetic algorithm,tabu search.