@inproceedings{14ff1d78b1a0411fa1b2e672d02c9435,
title = "Joint location-two-echelon-inventory supply chain model with stochastic demand",
abstract = "Existing supply chain location-inventory models optimize over inventory policies and distribution center locations, but use a deterministic approach that does not take into consideration the uncertainty of demand. We present an extension to the deterministic multi-echelon joint location-inventory model that adds uncertainty by including a new variable that reflects the probability of different scenarios. We test the model using three different demand scenarios. To compare the results for the stochastic case with those of the deterministic case, the model is solved as a deterministic model under one scenario, and the cost of assuming a scenario other than the true scenario is calculated.",
keywords = "Integer programming, Location problem, Supply chains, Uncertainty modeling",
author = "Alhaj, {Malek Abu} and Ali Diabat",
year = "2011",
language = "English (US)",
isbn = "9781627486835",
series = "41st International Conference on Computers and Industrial Engineering 2011",
publisher = "Computers and Industrial Engineering",
pages = "25--30",
booktitle = "41st International Conference on Computers and Industrial Engineering 2011",
note = "41st International Conference on Computers and Industrial Engineering 2011 ; Conference date: 23-10-2011 Through 25-10-2011",
}