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Design of shared unit-dose drug distribution network using multi-level particle swarm optimization

Author

Listed:
  • Linjie Chen

    (University of Saint-Etienne, University of Lyon)

  • Thibaud Monteiro

    (University of Lyon)

  • Tao Wang

    (University of Lyon
    Central University of Finance and Economics)

  • Eric Marcon

    (University of Lyon)

Abstract

Unit-dose drug distribution systems provide optimal choices in terms of medication security and efficiency for organizing the drug-use process in large hospitals. As small hospitals have to share such automatic systems for economic reasons, the structure of their logistic organization becomes a very sensitive issue. In the research reported here, we develop a generalized multi-level optimization method – multi-level particle swarm optimization (MLPSO) – to design a shared unit-dose drug distribution network. Structurally, the problem studied can be considered as a type of capacitated location-routing problem (CLRP) with new constraints related to specific production planning. This kind of problem implies that a multi-level optimization should be performed in order to minimize logistic operating costs. Our results show that with the proposed algorithm, a more suitable modeling framework, as well as computational time savings and better optimization performance are obtained than that reported in the literature on this subject.

Suggested Citation

  • Linjie Chen & Thibaud Monteiro & Tao Wang & Eric Marcon, 2019. "Design of shared unit-dose drug distribution network using multi-level particle swarm optimization," Health Care Management Science, Springer, vol. 22(2), pages 304-317, June.
    • Handle: RePEc:kap:hcarem:v:22:y:2019:i:2:d:10.1007_s10729-018-9438-6
    DOI: 10.1007/s10729-018-9438-6
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    1. Rolland, Erik & Schilling, David A. & Current, John R., 1997. "An efficient tabu search procedure for the p-Median Problem," European Journal of Operational Research, Elsevier, vol. 96(2), pages 329-342, January.
    2. Salhi, Said & Rand, Graham K., 1989. "The effect of ignoring routes when locating depots," European Journal of Operational Research, Elsevier, vol. 39(2), pages 150-156, March.
    3. Srivastava, R, 1993. "Alternate solution procedures for the location-routing problem," Omega, Elsevier, vol. 21(4), pages 497-506, July.
    4. ,, 2002. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 18(1), pages 193-194, February.
    5. ,, 2002. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 18(2), pages 541-545, April.
    6. Guerrero, W.J. & Prodhon, C. & Velasco, N. & Amaya, C.A., 2013. "Hybrid heuristic for the inventory location-routing problem with deterministic demand," International Journal of Production Economics, Elsevier, vol. 146(1), pages 359-370.
    7. Christian Prins & Caroline Prodhon & Angel Ruiz & Patrick Soriano & Roberto Wolfler Calvo, 2007. "Solving the Capacitated Location-Routing Problem by a Cooperative Lagrangean Relaxation-Granular Tabu Search Heuristic," Transportation Science, INFORMS, vol. 41(4), pages 470-483, November.
    8. ,, 2002. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 18(4), pages 1007-1017, August.
    9. Prodhon, Caroline & Prins, Christian, 2014. "A survey of recent research on location-routing problems," European Journal of Operational Research, Elsevier, vol. 238(1), pages 1-17.
    10. ,, 2002. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 18(6), pages 1461-1465, December.
    11. Dhaenens-Flipo, Clarisse, 2000. "Spatial decomposition for a multi-facility production and distribution problem," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 177-186, March.
    12. ,, 2002. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 18(5), pages 1273-1289, October.
    13. ,, 2002. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 18(3), pages 819-821, June.
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