Emergency Locations Problems with Stochastic Parameters | ||||
| MSA-Management Sciences Journal | ||||
| Volume 1, Issue 2, November 2022, Page 99-117 PDF (276.27 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/msamsj.2022.273433 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Assem Tharwat Tharwat 1; Ihab A. F. El-Khodary 2; Emad El-Din H Hassan  3
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| 1American University in Emirates | ||||
| 2Faculty of Computers and Information Cairo University, Egypt | ||||
| 3Faculty of Management Sciences October University for Modern Sciences and Arts, Egypt | ||||
| Abstract | ||||
| 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 discussed assuming 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 | ||||
| Keywords | ||||
| Emergency; Location; Optimization; Stochastic; Simulation | ||||
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