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Dynamic VRP in pharmaceutical distribution—a case study

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Abstract

In recent years, the pharmaceutical sector has gone through deep changes, partially due to the ageing of the population and to the increasing of costs in health care services. With margins that are getting lower and lower, the drug distribution problem to pharmacies has become much more important, particularly in large metropolitan areas.

As pharmacies demand shorter delivery times, vehicle routing and scheduling problems become harder for distributors. It is recognized that the traditional system based on fixed routes does not fulfil the expectations of pharmacies and may, in some cases, be quite inefficient for distributiors.

In this work, a case study has been carried out and a change of the traditional approach is proposed, by adopting a system of variable routes that are dynamically designed, based on orders that are constantly arriving along the day.

A dynamic algorithm is therefore proposed, meant to be run several times a day. It has four phases: first, a clustering of the orders is performed; second, potential routes are constructed; third, a route is selected for operation; and finally, that route is subject to an improvement process. The selection of the next route to be launched may be postponed in order to take advantage of subsequent information. The algorithm has been tested in the case study, by simulating one week of operation, and by comparing the results with the plan produced by the traditional way

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References

  1. Ball M, Magnanti T, Monma C, Nemhauser G (eds.) Handbooks in Operations Research and Management Science: Network Routing. North-Holland, Amsterdam.

  2. Bent R, Van Hentenryck (2004) Scenario-Based Planning for Partially Dynamic Vehicle Routing with Stochastic Customers, Operations Research 52 6: 977–987.

    Article  Google Scholar 

  3. Bersitmas D, Van Ryzin G (1991) A Stochastic and Dynamic Vehicle Routing Problem in the Euclidean Plane. Operations Research 39, 4: 601–615.

    Google Scholar 

  4. Bersitmas D, Van Ryzin G (1993) Stochastic and Dynamic Vehicle Routing Problem in the Euclidean Plane with Multiple Capacited Vehicles. Operations Research 41, 1:60–76.

    Google Scholar 

  5. Bersitmas, D. Simchi-Levi, D. (1996) A new Generation of Vehicle Routing Research: Robust Algorithms, Addressing Uncertainty. Operations Research 44, 2: 286–304.

    Google Scholar 

  6. Bianchi L (2000) Notes on Dynamic Vehicle Routing-The State of the Art. Technical Report-IDSIA, Manno-Lugano

    Google Scholar 

  7. Campbell A, Savelsbergh M (2002) Decision Support for Consumer Direct Grocery Initiatives. Working Paper-Georgia Institute of Technology, Atlanta.

    Google Scholar 

  8. Gendreau M, Laporte G, Séguin R (1996) Stochastic Vehicle Routing. European Journal of Operational Research 88 1: 3–12.

    Article  Google Scholar 

  9. Hair Jr J, Anderson R, Tatham R, Black W (1995) Multivariate Data Analysis. Prentice Hall, New Jersey

    Google Scholar 

  10. Ichoua S, Gendreau M, Potvin J-Y (2003) Vehicle Dispatching with Time Dependent Travel Times. European Journal of Operational Research 144: 379–396

    Article  Google Scholar 

  11. Jaillet P (1988) A Priori Solution of a Traveling Salesman Problem in Which a Random Subset of Customers are Visited. Operations Research 36: 929–936

    Article  Google Scholar 

  12. Larsen A (2000) The Dynamic Vehicle Routing Problem. PhD Thesis-Denmark Technical University, Lyngby

    Google Scholar 

  13. Larsen A, Madsen O, Solomon M (2002) Partially Dynamic Vehicle Routing—Models and Algorithms. Journal of the Operational Research Society 53: 637–646

    Article  Google Scholar 

  14. Psaraftis H (1988) Dynamic Vehicle Routing Problems In: Golden B, Assad A (eds.) Vehicle Routing Methods and Studies, Studies in Management Science and Systems, 16. North-Holland, Amsterdam. pp. 223–248

    Google Scholar 

  15. Punakivi M, Saranen J (2001) Identifying the Success Factors in egrocery Home Delivery. International Journal of Retail & Distribution Management 29, 4: 156–163.

    Google Scholar 

  16. Taillard E, Badeau P, Gendreau M, Guertin F, Potvin J-Y (1997) A Tabu Search Heuristic for the Vehicle Routing Problem with Soft Time Windows. Transportation Science 31, 2: 170–186.

    Google Scholar 

  17. Teixeira J, Antunes A, Sousa J (2004) Recyclable waste collection planning—a case study. European Journal of Operational Research 158, 3: 543–554

    Article  Google Scholar 

Download references

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Magalhães, J.M.d., de Sousa, J.P. Dynamic VRP in pharmaceutical distribution—a case study. cent.eur.j.oper.res. 14, 177–192 (2006). https://doi.org/10.1007/s10100-006-0167-4

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  • DOI: https://doi.org/10.1007/s10100-006-0167-4

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