JOINT OPTIMIZATION OF REDUNDANCY AND MAINTENANCE STAFF ALLOCATION FOR MULTI-STATE SERIES-PARALLEL SYSTEM
Multi-state system (MSS) is a kind of complex system, which is consisted of elements with different performance states, and widely exists in industrial engineering. In this paper, the redundancy and maintenance staff allocation problems for the repairable MSS with series-parallel configuration is considered. The traditional configuration optimization for MSS regarded as redundancy allocation problem (RAP) always assume that the maintenance resources are unlimited. However in many situations, the maintenance resources are limited due to the budget and/or time. To maximize the satisfaction of system for certain demand, there are mainly two ways proposed to increase the availability for MSS: 1) designing an optimal system configuration with available elements, and 2) allocating more maintenance staffs. Thus, queue theory is implemented to evaluate the reliability of identical verison of elements with given amount of maintenance staffs and universal generation function (UGF) is employed to assess the availability of MSS under user demand. There are two optimal problems II and III being discussed and compared with traditional problem I. One regards the limitation of maintenance resources as constraint and the other considers minimizing the cost combined with elements and maintenance resources. In these two scenarios, the optimal design and staffs allocation strategy is searched under availability constraint. A numerical case is presented to illustrate the proposed models and genetic algorithm (GA) is adopted to obtain the optimal strategy.
Multi-state series-parallel system Redundancy allocation problem (RAP) Maintenance staffs allocation Queue theory Universal generation function (UGF) Genetic algorithm (GA)
Yu Liu Hong-Zhong Huang
School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610054,China
国际会议
北京
英文
989-998
2008-10-27（万方平台首次上网日期，不代表论文的发表时间）