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Stochastic analysis of maintenance process costs in the IT industry: a case study

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  • Ludvík Friebel
  • Jana Friebelová

Abstract

In this contribution we propose a method for determining the type of computer component whose replacement minimizes repair costs depending on the warranty period. Components that most often cause a dysfunctional state of a computer are first identified using records of warranty repairs from the customer service department. Repair costs covered by warranty are then calculated using a semi-analytic method and simulation of the most critical component lifetime in different user environments. It was assumed that the use of a cheaper critical component generally results in higher costs for computer warranty services due to shorter failure-free runs. For this reason, the company should choose a compromise between price and quality. Input data was taken from the records supplied by the computer assembling company (times between failures) and from the records from time tracking software (computer up-time). Copyright Springer-Verlag 2012

Suggested Citation

  • Ludvík Friebel & Jana Friebelová, 2012. "Stochastic analysis of maintenance process costs in the IT industry: a case study," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(3), pages 393-408, September.
    • Handle: RePEc:spr:cejnor:v:20:y:2012:i:3:p:393-408
    DOI: 10.1007/s10100-011-0213-8
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    References listed on IDEAS

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    1. Rubinstein, Reuven Y., 1997. "Optimization of computer simulation models with rare events," European Journal of Operational Research, Elsevier, vol. 99(1), pages 89-112, May.
    2. Lee, Hsu-Hua, 2008. "The investment model in preventive maintenance in multi-level production systems," International Journal of Production Economics, Elsevier, vol. 112(2), pages 816-828, April.
    3. Cho, Danny I. & Parlar, Mahmut, 1991. "A survey of maintenance models for multi-unit systems," European Journal of Operational Research, Elsevier, vol. 51(1), pages 1-23, March.
    4. Savaş Dayanik & Ülkü Gürler, 2002. "An Adaptive Bayesian Replacement Policy with Minimal Repair," Operations Research, INFORMS, vol. 50(3), pages 552-558, June.
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    Cited by:

    1. Josef Jablonsky & Petr Fiala, 2012. "Special issue of the Czech Society for Operations Research," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(3), pages 367-368, September.

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