@conference {ElFarissi2017122,
	title = {Coordination by sharing demand forecasts in a supply chain using game theoretic approach},
	booktitle = {Colloquium in Information Science and Technology, CIST},
	year = {2017},
	note = {cited By 0},
	pages = {122-127},
	abstract = {Through the literature, authors give a considerable attention to game theory because of its wide range of applications in various fields including economics, political science, psychology or biology. The aim of this case study is to employ game theoretic approach to model information sharing as a coordination mechanism in a basic two-echelon supply chain composed of a single retailer and a single supplier. This paper is the sequel of previous works; where demand is forecasted based on historical data of a supermarket in Morocco using the Multi Layer Perceptron structure of the artificial neural networks. Nevertheless, this work focuses on the implementation of the obtained forecasting results in the studied system modeled as a game of two players with asymmetric and imperfect information, in order to find the equilibrium of the game that guaranties maximum payoff for both players. In fact, this is what game theory is all about. {\textcopyright} 2016 IEEE.},
	doi = {10.1109/CIST.2016.7805028},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010210515\&doi=10.1109\%2fCIST.2016.7805028\&partnerID=40\&md5=79f1785352cd1586a09b76b45cdd93d1},
	author = {El Farissi, I.a and Slimani, I.b and Achchab, S.a}
}
@conference {Slimani2016266,
	title = {Artificial neural networks for demand forecasting: Application using Moroccan supermarket data},
	booktitle = {International Conference on Intelligent Systems Design and Applications, ISDA},
	volume = {2016-June},
	year = {2016},
	note = {cited By 0},
	pages = {266-271},
	abstract = {The accuracy of sales forecasts in a supply chain is certainly an important key to competitiveness. Because, for any member of the supply chain system, having a clear vision of the future demand affects his planning, his performance so his profit. In the first study of this work, various Artificial Neural Network models were presented and utilized to predict demand of a costumer{\textquoteright}s product. The training and validating data are provided from a known supermarket in Morocco. In a previous study, the results indicated that the best neural network structure for demand forecasting is the Multi Layer Perceptron, which is by the way, the most commonly used model in the literature. This work focuses on finding the optimal Multi Layer Perceptron structure for demand forecasting. We also present a review of selected works done in the application of game theory and neural networks in the context of management science. The main contribution of our work is the use of neural networks in order to predict the consumer{\textquoteright}s demand and implement this demand forecasting in a two-echelon supply chain with a game theoretic approach. {\textcopyright} 2015 IEEE.},
	doi = {10.1109/ISDA.2015.7489236},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978383954\&doi=10.1109\%2fISDA.2015.7489236\&partnerID=40\&md5=e101e792765c4a46c2bf395db5f4b1b1},
	author = {Slimani, I.a and El Farissi, I.b and Achchab, S.a}
}
