Publications

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S. Achchab, Bencharef, O., et Ouaarab, A., « A combination of regression techniques and cuckoo search algorithm for FOREX speculation », Advances in Intelligent Systems and Computing, vol. 569, p. 226-235, 2017.
K. Tikito, Achchab, S., et Benadada, Y., « Combined optimization of shipping and storage costs in a multi-product and multi-level supply chain, under a stochastic demand », in 2013 5th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2013, 2013.
I. Slimani, I. Farissi, E., et Achchab, S., « Configuration and implementation of a daily artificial neural network-based forecasting system using real supermarket data », International Journal of Logistics Systems and Management, vol. 28, p. 144-163, 2017.
E. I. Farissi, Slimani, I., et Achchab, S., « Coordination by sharing demand forecasts in a supply chain using game theoretic approach », in Colloquium in Information Science and Technology, CIST, 2017, p. 122-127.
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I. Slimani et Achchab, S., « Game theory to control logistic costs in a two-echelon supply chain », in Proceedings of 2nd IEEE International Conference on Logistics Operations Management, GOL 2014, 2014, p. 168-170.
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M. Belhiah, Bounabat, B., et Achchab, S., « The impact of data accuracy on user-perceived business service's quality », in 2015 10th Iberian Conference on Information Systems and Technologies, CISTI 2015, 2015.
H. Bousqaoui, Slimani, I., et Achchab, S., « Information sharing as a coordination tool in supply chain using multi-agent system and neural networks », Advances in Intelligent Systems and Computing, vol. 745, p. 626-632, 2018.
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H. Bousqaoui, Achchab, S., et Tikito, K., « Machine learning applications in supply chains: An emphasis on neural network applications », in Proceedings of 2017 International Conference of Cloud Computing Technologies and Applications, CloudTech 2017, 2018, vol. 2018-January, p. 1-7.
H. Bousqaoui, Achchab, S., et Tikito, K., « Machine learning applications in supply chains: Long short-term memory for demand forecasting », Lecture Notes in Networks and Systems, vol. 49, p. 301-317, 2019.
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M. Belhiah, Benqatla, M. S., Bounabat, B., et Achchab, S., « Towards a context-aware framework for assessing and optimizing Data Quality projects », in DATA 2015 - 4th International Conference on Data Management Technologies and Applications, Proceedings, 2015, p. 189-194.

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