Document Type: Case Study


Department of Industrial Engineering, Faculty of Industrial Engineering, South-Tehran Branch, Islamic Azad University, Tehran, Iran.


Considering the increasing growth of cities, population and urban fabric density, it seems necessary that emergency facilities and services such as fire stations are positioned optimally so that they can fulfill the demands well. The aim of this study is the optimization of equipment use in the fire stations, minimization the time to arrive at the incident through management of referral call to 125 Sari fire station center so that the referral call to the nearest fire station do not remain unanswered as much as possible and there will be no need to refer to another station. In this research, the resources required at Sari’s fire station were simulated using Enterprise Dynamic software. The input data of the simulation is based on the number and sequence of the time of people's phone calls. After collecting historical data from telephone calls using the function fitting method, the distribution function of available resources is calculated in Minitab software. In the following, the distribution functions of failure in the existing fire engines are calculated using the same method and the obtained information is simulated. The result indicates an improvement of 20% in relief time by adding one source in Sari fire station center.


Algharib, S. M., (2011). ''Distance and coverage: an assessment of location-allocation models for fire stations in Kuwait City'', Kuwait, Kent State University.  

Bjarnason, R., Tadepalli, P., Fern, A., and Niedner, C., (2009). ''Simulation-based optimization of resource placement and emergency response'', Paper presented at the Twenty-First IAAI Conference.

Blagojević, M. Đ., and Pešić, D. J., (2011). ''A new curve for temperature-time relationship in compartment fire'', Thermal Science, Vol. 15, No. 2, pp. 339-352.

Carter, G., Ignall, E., and Walker, W., (1973). ''A simulation model of the New York city fire department: Its use in deployment analysis'', Paper presented at the Proceedings of the 6th conference on Winter simulation.

Chen, M., Wang, K., Dong, X., and Li, H., (2020). ''Emergency rescue capability evaluation on urban fire stations in China'', Process Safety and Environmental Protection, Vol.135, pp. 59-69.

Davoodi, S. M. R., and Goli, A., (2019). ''An integrated disaster relief model based on covering tour using hybrid Benders decomposition and variable neighborhood search: Application in the Iranian context'', Computers & Industrial Engineering, Vol. 130, pp. 370-380.

Dong, X.m., Li, Y., Pan, Y.-l., Huang, Y.-j., and Cheng, X.d., (2018). ''Study on urban fire station planning based on fire risk assessment and GIS technology'', Procedia Engineering, Vol. 211, pp. 124-130.

Ghasemi, P., Khalili-Damghani, K., Hafezalkotob, A., and Raissi, S., (2019). ''Stochastic optimization model for distribution and evacuation planning (A case study of Tehran earthquake)'', Socio-Economic Planning Sciences, pp. 100745.

Ghasemi, P., Khalili-Damghani, K., Hafezalkotob, A., and Raissi, S. (2019). “Uncertain multi-objective multi-commodity multi-period multi-vehicle location-allocation model for earthquake evacuation planning”. Applied Mathematics and Computation, Vol. 350, pp 105-132.

Goli, A., Babaee Tirkolaee, E., and Soltani, M., (2019). ''A robust just-in-time flow shop scheduling problem with outsourcing option on subcontractors'', Production & Manufacturing Research, Vol. 7, No. 1, pp. 294-315.

Goli, A., Zare, H. K., Tavakkoli-Moghaddam, R., and Sadegheih, A., (2020). ''Multiobjective fuzzy mathematical model for a financially constrained closed-loop supply chain with labor employment'', Computational Intelligence, Vol. 36, No. 1, pp. 4-34.

Kumar, V., Ramamritham, K., and Jana, A., (2019). ''Resource allocation for handling emergencies considering dynamic variations and urban spaces: fire fighting in Mumbai'', Paper presented at the Proceedings of the Tenth International Conference on Information and Communication Technologies and Development.

Lacomme, P., Prins, C., and Ramdane-Cherif, W., (2004). ''Competitive memetic algorithms for arc routing problems'',  Annals of Operations Research, Vol. 131, No. 1-4, pp. 159-185.

Liu, D., Xu, Z., Wang, Z., and Fan, C., (2020). ''Regional evaluation of fire apparatus requirements for petrol stations based on travel times'', Process Safety and Environmental Protection.

Mukherjee, A., Christ, E., Sibel, J. M., and Al-Talib, M. D., (2019). ''Fire Station Site Selection in Wuhan, China''.

Murray, A. T., (2013). ''Optimising the spatial location of urban fire stations'', Fire Safety Journal, Vol. 62, pp. 64-71.

Nateghi-Alahi, F., and Izadkhah, Y. O., (2004). ''Earthquake disaster management planning in health care facilities'', Disaster Prevention and Management: An International Journal.

Sangaiah, A. K., Tirkolaee, E. B., Goli, A., and Dehnavi-Arani, S., (2019). ''Robust optimization and mixed-integer linear programming model for LNG supply chain planning problem'', Soft Computing, pp. 1-21.

Tirkolaee, E. B., Goli, A., and Weber, G.W., (2019). ''Multi-objective aggregate production planning model considering overtime and outsourcing options under fuzzy seasonal demand Advances in manufacturing'' II (pp. 81-96): Springer.

Wang, J., Liu, H., An, S., and Cui, N. (2016). ''A new partial coverage locating model for cooperative fire services'', Information Sciences, Vol. 373, pp. 527-538.

Yang, L., Jones, B. F., and Yang, S.H., (2007). ''A fuzzy multi-objective programming for optimization of fire station locations through genetic algorithms'', European journal of operational research, Vol. 181, No. 2, pp. 903-915.

Yao, J., Zhang, X., and Murray, A. T., (2019). ''Location optimization of urban fire stations: Access and service coverage'', Computers, Environment and Urban Systems, Vol. 73, pp. 184-190.

Zhang, L., Wu, X., Liu, M., Liu, W., and Ashuri, B., (2019). ''Discovering worst fire scenarios in subway stations: a simulation approach'', Automation in Construction, Vol. 99, pp. 183-196.