Particle Swarm Optimization to the Retrial Machine Repair Problem with Working Breakdowns under the N-Policy
This paper analyzes a retrial machine repair problem with working breakdowns operating under the N-policy.The server is subject to working breakdowns only when there is at least one failed machine in the system.A matrix-analytic method is employed to derive the steady-state probabilities of the number of failed machines in the system which are used to evaluate several system performance measures.We construct a cost model to determine the optima threshold N,and the joint optimal values for fast service,slow service,and retrial rates simultaneously by using particle swarm optimization algorithm.Moreover,we carry out the sensitivity analysis with numerical illustration based on various system parameter values.
Matrix-analytic method Particle swarm optimization Retrial machine repair problem Sensitivity analysis Working breakdowns
Kuo-Hsiung Wang Jinting Wang
Department of Computer Science and Information Management Providence University,Taichung 43301,Taiwa Department of Mathematics Beijing Jiaotong University,Beijing,100044,P.R.China
国际会议
河北秦皇岛
英文
148-151
2017-08-21（万方平台首次上网日期，不代表论文的发表时间）