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A facility location and installation of resources model for level of repair analysis

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  • Brick, Eduardo Siqueira
  • Uchoa, Eduardo

Abstract

The Level of Repair Analysis - LORA - is an analytic methodology aimed at determining: (i) the optimal location of facilities that compose a maintenance structure; (ii) the quantity of required resources in each facility; and (iii) the best repair policies, i.e., rules that determine if a given component should be discarded or repaired, and where those actions should take place. This work presents a mixed-integer programming model for LORA that is more comprehensive than others in the literature, being suitable to many practical situations. The model was applied to 15 substantial real world problems, and considering distinct maintenance policies to some of them, resulted in 22 different solutions, all of which could be achieved by a commercial Mixed-Integer Programming (MIP) solver in reasonable times.

Suggested Citation

  • Brick, Eduardo Siqueira & Uchoa, Eduardo, 2009. "A facility location and installation of resources model for level of repair analysis," European Journal of Operational Research, Elsevier, vol. 192(2), pages 479-486, January.
    • Handle: RePEc:eee:ejores:v:192:y:2009:i:2:p:479-486
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    References listed on IDEAS

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    1. ReVelle, C. S. & Eiselt, H. A., 2005. "Location analysis: A synthesis and survey," European Journal of Operational Research, Elsevier, vol. 165(1), pages 1-19, August.
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    6. A Sleptchenko & M C van der Heijden & A van Harten, 2003. "Trade-off between inventory and repair capacity in spare part networks," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(3), pages 263-272, March.
    7. ReVelle, C.S. & Eiselt, H.A. & Daskin, M.S., 2008. "A bibliography for some fundamental problem categories in discrete location science," European Journal of Operational Research, Elsevier, vol. 184(3), pages 817-848, February.
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    1. R. Basten & M. Heijden & J. Schutten & E. Kutanoglu, 2015. "An approximate approach for the joint problem of level of repair analysis and spare parts stocking," Annals of Operations Research, Springer, vol. 224(1), pages 121-145, January.
    2. Basten, R.J.I. & van der Heijden, M.C. & Schutten, J.M.J., 2011. "A minimum cost flow model for level of repair analysis," International Journal of Production Economics, Elsevier, vol. 133(1), pages 233-242, September.
    3. Ghaddar, Bissan & Sakr, Nizar & Asiedu, Yaw, 2016. "Spare parts stocking analysis using genetic programming," European Journal of Operational Research, Elsevier, vol. 252(1), pages 136-144.
    4. Basten, R.J.I. & van der Heijden, M.C. & Schutten, J.M.J., 2011. "Practical extensions to a minimum cost flow model for level of repair analysis," European Journal of Operational Research, Elsevier, vol. 211(2), pages 333-342, June.
    5. Ernesto Armando Pacheco-Velázquez & Manuel Robles-Cárdenas & Saúl Juárez Ordóñez & Abelardo Ernesto Damy Solís & Leopoldo Eduardo Cárdenas-Barrón, 2023. "A Heuristic Model for Spare Parts Stocking Based on Markov Chains," Mathematics, MDPI, vol. 11(16), pages 1-21, August.
    6. Basten, R.J.I. & van der Heijden, M.C. & Schutten, J.M.J., 2012. "Joint optimization of level of repair analysis and spare parts stocks," European Journal of Operational Research, Elsevier, vol. 222(3), pages 474-483.
    7. Ma, N., 2014. "Optimal scope of supply chain network & operations design," Other publications TiSEM e6187708-b664-44bf-aef8-f, Tilburg University, School of Economics and Management.

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