• DocumentCode
    2343666
  • Title

    Profit Analysis of a Repairable System with Imperfect Coverage and Service Pressure Coefficient

  • Author

    Wang, Kuo-Hsiung ; Lin, Yu-Hsueh

  • Author_Institution
    Dept. of Appl. Math., Nat. Chung-Hsing Univ., Taichung, Taiwan
  • fYear
    2011
  • fDate
    15-19 April 2011
  • Firstpage
    127
  • Lastpage
    131
  • Abstract
    We consider the warm-standby M/M/R machine repair problem with multiple imperfect coverage which involving the service pressure condition. When an operating machine (or warm standby) fails, it may be immediately detected, located, and replaced with a coverage probability c by a standby if one is available. Using the recursive method, we develop the steady-state solutions which are used to calculate various system performance measures. We develop the expected profit function per unit time to determine the joint optimal values at the maximum profit. We first use the direct search method to find the optimal number of servers R and the optimal number of warm standby S. Subsequently, we apply the Quasi-Newton method to obtain the optimal service rate μ* and the optimal coverage probability c* after R* and S*are fixed. Finally, we perform a sensitivity analysis to study the effects on the optimal values ( R*, S*, μ*, c* ) if the system parameters take on other specific values.
  • Keywords
    Newton method; maintenance engineering; probability; search problems; sensitivity analysis; Quasi-Newton method; direct search method; imperfect coverage; optimal coverage probability; profit analysis; recursive method; repairable system; sensitivity analysis; service pressure coefficient; warm-standby M/M/R machine repair problem; Availability; Maintenance engineering; Mathematics; Search methods; Servers; Steady-state; System performance; Newton-quasi method; cost; matrix-analytic method; optimization; second optional repair;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
  • Conference_Location
    Yunnan
  • Print_ISBN
    978-1-4244-9712-6
  • Electronic_ISBN
    978-0-7695-4335-2
  • Type

    conf

  • DOI
    10.1109/CSO.2011.210
  • Filename
    5957625