The problem of determining the optimum locations for the emergency facility services in the case in which three possible routes between every pair of customers and service centre was discussedassuming deterministic values for the parameters of the problem. In this paper, we introduce a description and solution algorithm for this problem focusing on the case in which the values of the spatial separations among the service centres and the customers are not deterministic but stochastic. The introduced solution is depending on hybridizing the Monte-Carlo Simulation technique with the Max-Separable optimization technique
Tharwat, A., A. F. El-Khodary, I., & Hassan, E. (2022). Emergency Locations Problems with Stochastic Parameters. MSA-Management Sciences Journal, 1(2), 99-117. doi: 10.21608/msamsj.2022.273433
MLA
Assem Tharwat Tharwat; Ihab A. F. El-Khodary; Emad El-Din H Hassan. "Emergency Locations Problems with Stochastic Parameters". MSA-Management Sciences Journal, 1, 2, 2022, 99-117. doi: 10.21608/msamsj.2022.273433
HARVARD
Tharwat, A., A. F. El-Khodary, I., Hassan, E. (2022). 'Emergency Locations Problems with Stochastic Parameters', MSA-Management Sciences Journal, 1(2), pp. 99-117. doi: 10.21608/msamsj.2022.273433
VANCOUVER
Tharwat, A., A. F. El-Khodary, I., Hassan, E. Emergency Locations Problems with Stochastic Parameters. MSA-Management Sciences Journal, 2022; 1(2): 99-117. doi: 10.21608/msamsj.2022.273433
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