Providing a model for the issue of multi-period ambulance location

Authors

  • Hamed Kazemipoor * Islamic Azad University central Tehran branch
  • Mohammad Ebrahim Sadeghi Department of Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran
  • Agnieszka Szmelter-Jarosz Department of Logistics, Faculty of Economics, University of Gdańsk, Poland
  • Mohadese Aghabozorgi Bachelor of Industrial Engineering, Islamic Azad University, Central Tehran Branch,Iran

DOI:

https://doi.org/10.52547/ijie.1.2.13

DOR:

https://dorl.net/dor/20.1001.1.27831906.2021.1.2.2.6

Keywords:

Ambulance Location, Time Slots, Stochastic Demand, Ambulance Transfer

Abstract

In this study, two mathematical models have been developed for assigning emergency vehicles, namely ambulances, to geographical areas. The first model, which is based on the assignment problem, the ambulance transfer (moving ambulances) between locations has not been considered. As ambulance transfer can improve system efficiency by decreasing the response time as well as operational cost, we consider this in the second model, which is based on the transportation problem. Both models assume that the demand of all geographical locations must be met. The major contributions of this study are: ambulance transfer between locations, day split into several time slots, and demand distribution of the geographical zone. To the best of our knowledge the first two have not been studied before. These extensions allow us to have a more realistic model of the real-world operation. Although, in previous studies, maximizing coverage has been the main objective of the goal, here, minimizing operating costs is a function of the main objective, because we have assumed that the demand of all geographical areas must be met.

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References

• Aboueljinane, L., Sahin, E. & Jemai, Z. (2013). A review on simulation models applied to emergency medical service Operations. Computers & Industrial Engineering. 66: 734-750. https://doi.org/10.1016/j.cie.2013.09.017

• Berman, O., & Krass, D. (2001). 11 facility location problems with stochastic demands and congestion. Facility location: applications and theory, 329.

• Berman, O., Hajizadeh, I., & Krass, D. (2013). The maximum covering problem with travel time uncertainty. IIE Transactions, 45(1), 81-96. https://doi.org/10.1080/0740817X.2012.689121

• Daskin, M.S. (1995). Network and discrete location: models, algorithms and applications. John Wiley, New York.

• Gendreaul, M., Laporte, G. & Semet, F. (2006). The maximal expected coverage relocation problem for emergency vehicles. Journal of the Operational Research Society. 57, 22-28.

• Handler, G.Y. & Mirchandani, P.B. (1979). Location on networks: theory and algorithms. MIT Press, Cambridge, MA.

• McLay., L.A. & Mayorga., M.E. (2013). A model for optimally dispatching ambulances to emergency calls with classification errors in patient priorities, IIE Transactions. 45-1: 1-24. https://doi.org/10.1080/0740817X.2012.665200

• Naoum-Sawaya., J. & Elhedhli., S. (2013). A stochastic optimization model for real-time ambulance redeployment. Computers & Operations Research. 40: 1972-1978.

• Nozari, H., Aliahmadi, A., Jafari-eskandari, M., & Khaleghi, G. (2015). An Extended Compact Genetic Algorithm for Milk Run Problem with Time Windows and Inventory Uncertainty. International Journal of Operational Research, 5(2), 35-48.‎

• Nozari, H., & Szmelter, A. (Eds.). (2019). Global Supply Chains in the Pharmaceutical Industry. IGI Global. http://doi:10.4018/978-1-5225-5921-4

• ReVelle, C. & Hogan, K. (1989). The Maximum Availability Location Problem. Transportation Science. 23-3: 192-200.

• Sadeghi, M. E., Khodabakhsh, M., Ganjipoor, M. R., kazemipoor, H., & Nozari, H. (2021). A New Multi Objective Mathematical Model for Relief Distribution Location at Natural Disaster Response Phase. International Journal of Innovation in Engineering, 1(1), 29–54. https://doi.org/10.52547/ijie.1.1.22

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Published

2021-07-06

How to Cite

Kazemipoor, H., Sadeghi, M. E., Szmelter-Jarosz, A. ., & Aghabozorgi, M. (2021). Providing a model for the issue of multi-period ambulance location. International Journal of Innovation in Engineering, 1(2), 13–23. https://doi.org/10.52547/ijie.1.2.13

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Section

Original Research