Description

In this thesis, We consider facility localization based on constant services and random customer demand.

Three purposes are considered:

1: Minimization of number of customer in a trip

2: Minimization of customers in the status of waiting

3: Maximization of the sum of devices in the unit of time.

References :

• Wang, Q., Batta, E., Rump, C.M., Facility location models for immobile servers with stochastic demand. Naval Res. Logist., v51, pp. 137-152, 2003.
• Smith, H.K., Laporte, G.,Harper, P.R.,Locational analysis: highlights of growth to maturity. Journal of the Operational Research Society, 2009
• Jia, H., Ordóñez, F., Dessouky, M., A modeling framework for facility location of medical services for large-scale emergencies.IIE Transactions,  39:1, p41-55, Jan 2007
• Revelle, C.S., Eiselt, H.A., Daskin, M.S., A bibliography for some fundamental problem categories in discrete location science. European Journal of Operational Research 184(3): 817-848 ,2008
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• Wang, Q., Batta, R., Rump, C.M., Algorithms for a facility location problem with stochastic customer demand and immobile servers. Annals of Operations Research 111, 17–34, 2002