@conference { ISI:000392439200051,
	title = {Configuration of Daily Demand Predicting System Based on Neural Networks},
	booktitle = {PROCEEDINGS OF THE 3RD IEEE INTERNATIONAL CONFERENCE ON LOGISTICS OPERATIONS MANAGEMENT (GOL{\textquoteright}16)},
	year = {2016},
	note = {3rd IEEE International Conference on Logistics Operations Management (GOL), Fes, MOROCCO, MAY 23-25, 2016},
	publisher = {Sidi Mohammed Ben Abdellah Univ Fes, Fac Sci \& Technol; Mohammed V Univ Rabat, ENSIAS Sch; Univ Havre; IEEE},
	organization = {Sidi Mohammed Ben Abdellah Univ Fes, Fac Sci \& Technol; Mohammed V Univ Rabat, ENSIAS Sch; Univ Havre; IEEE},
	abstract = {Having a clear vision about future demand is a crucial key to enhance the commercial competitiveness to any efficient supply chain. However, demand forecasting is certainly not an easy task for a manager who had the choice between using traditional forecasting techniques encompassing time series methods, causal methods or simulation methods, or techniques based on artificial intelligence like artificial neural networks (ANNs), fuzzy logic or adaptive neuro fuzzy inference system (ANFIS). This paper focuses on the implementation and configuration of the artificial intelligence of neural networks, and more precisely the multi layer perceptron{\textquoteright}s structure, as a prediction system to produce daily demand forecasts based on historical demand information. The results indicate that adding new inputs to the neural network, in our case study, has a positive impact on the accuracy of the short term demand forecasting. In the numerical experimentation, the effectiveness of the proposed model is validated using is validated using a real-world data of a leader supermarket in Morocco.},
	isbn = {978-1-4673-8571-8},
	author = {Slimani, Ilham and El Farissi, Ilhame and Achchab, Said},
	editor = {Alaoui, AE and Benadada, Y and Boukachour, J}
}
@conference { ISI:000361005100095,
	title = {The impact of data accuracy on user-perceived business service{\textquoteright}s quality},
	booktitle = {PROCEEDINGS OF THE 2015 10TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI 2015)},
	year = {2015},
	note = {10th Iberian Conference on Information Systems and Technologies (CISTI), Univ Aveiro, Sch Technol \& Agueda Management, Agueda, PORTUGAL, JUN 17-20, 2015},
	publisher = {Iberian Assoc Syst Informat Technol},
	organization = {Iberian Assoc Syst Informat Technol},
	abstract = {As business processes have become increasingly automated, data quality becomes the limiting and penalizing factor in the business service{\textquoteright}s overall quality, and thus impacts customer satisfaction, whether it is an end-user, an institutional partner or a regulatory authority. The available research that is related to business services{\textquoteright} quality paid very little attention to the impact of poor data quality on good services delivery and customer satisfaction, and to the calculation of the optimal level of data quality. The aim of this paper is to present a customer-oriented approach that will help to understand and analyze how an organization business service{\textquoteright}s overall quality is linked to the quality of upstream business processes and of data objects in use. This paper also introduces a calculation framework that allows the identification of an optimal level of data quality - data accuracy dimension in the case of this paper - taking into account the business processes{\textquoteright} execution accuracy and data accuracy.},
	author = {Belhiah, Meryam and Bounabat, Bouchaib and Achchab, Said},
	editor = {Rocha, A and Dias, GP and Martins, A and Reis, LP and Cota, MP}
}
@article {11406228320150701,
	title = {The impact of data accuracy on user-perceived business service{\textquoteright}s quality.},
	journal = {CISTI (Iberian Conference on Information Systems \& Technologies / Confer{\^e}ncia Ib{\'e}rica de Sistemas e Tecnologias de Informa{\c c}{\~a}o) Proceedings},
	volume = {2},
	year = {2015},
	pages = {145 - 148},
	abstract = {As business processes have become increasingly automated, data quality becomes the limiting and penalizing factor in the business service{\textquoteright}s overall quality, and thus impacts customer satisfaction, whether it is an end-user, an institutional partner or a regulatory authority. The available research that is related to business services{\textquoteright} quality paid very little attention to the impact of poor data quality on good services delivery and customer satisfaction, and to the calculation of the optimal level of data quality. The aim of this paper is to present a customer-oriented approach that will help to understand and analyze how an organization business service{\textquoteright}s overall quality is linked to the quality of upstream business processes and of data objects in use. This paper also introduces a calculation framework that allows the identification of an optimal level of data quality {\textendash} data accuracy dimension in the case of this paper - taking into account the business processes{\textquoteright} execution accura},
	keywords = {accuracy, Business process management {\textendash} Research, Business process outsourcing, Business service and process quality, Consumers {\textendash} Attitudes, Customer satisfaction {\textendash} Research, data quality, Data quality {\textendash} Research, enterprise architecture, user satisfaction},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=114062283\&site=ehost-live},
	author = {Belhiah, Meryam and Bounabat, Bouchalb and Achchab, Said}
}
@conference { ISI:000380620300095,
	title = {The impact of data accuracy on user-perceived business service{\textquoteright}s quality},
	booktitle = {2015 10TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI)},
	series = {Iberian Conference on Information Systems and Technologies},
	year = {2015},
	note = {10th Iberian Conference on Information Systems and Technologies (CISTI), Univ Aveiro, Sch Technol \& Agueda Management, Agueda, PORTUGAL, JUN 17-20, 2015},
	publisher = {Iberian Assoc Syst Informat Technol},
	organization = {Iberian Assoc Syst Informat Technol},
	abstract = {As business processes have become increasingly automated, data quality becomes the limiting and penalizing factor in the business service{\textquoteright}s overall quality, and thus impacts customer satisfaction, whether it is an end-user, an institutional partner or a regulatory authority. The available research that is related to business services{\textquoteright} quality paid very little attention to the impact of poor data quality on good services delivery and customer satisfaction, and to the calculation of the optimal level of data quality. The aim of this paper is to present a customer-oriented approach that will help to understand and analyze how an organization business service{\textquoteright}s overall quality is linked to the quality of upstream business processes and of data objects in use. This paper also introduces a calculation framework that allows the identification of an optimal level of data quality - data accuracy dimension in the case of this paper - taking into account the business processes{\textquoteright} execution accuracy and data accuracy.},
	isbn = {978-1-4799-8330-8},
	issn = {2166-0727},
	author = {Belhiah, Meryam and Bounabat, Bouchaib and Achchab, Said},
	editor = {Rocha, A and Dias, GP and Martins, A and Reis, LP and Cota, MP}
}
@conference { ISI:000346582400026,
	title = {Game theory to control logistic costs in a two-echelon supply chain},
	booktitle = {PROCEEDINGS OF 2014 2ND IEEE INTERNATIONAL CONFERENCE ON LOGISTICS AND OPERATIONS MANAGEMENT (GOL 2014)},
	year = {2014},
	note = {2nd IEEE International Conference on Logistics Operations Management (GOL), Rabat, MOROCCO, JUN 05-07, 2014},
	pages = {168-171},
	publisher = {IEEE; Mohammed VI Souissi Univ, ENSIAS Sch; Univ Le Havre; Sidi Mohamed Ben Abdellah Univ, FST},
	organization = {IEEE; Mohammed VI Souissi Univ, ENSIAS Sch; Univ Le Havre; Sidi Mohamed Ben Abdellah Univ, FST},
	abstract = {As a mathematical tool of the decision maker, game theory is an essential methodology to analyze and solve situations where the decision of each rational agent, called player, affects the other agent{\textquoteright}s payoff. Indeed, in this work game theory is used to analyze an inventory and transportation optimization problem within a supply chain composed of two agents: a retailer who faces a random demand of a final product and his supplier of raw materials that is also responsible of the transportation function. Since the retailer is closer to the market and has a better view of demand forecasts careful attention given to Information sharing and its impacts.},
	isbn = {978-1-4799-4650-1},
	author = {Slimani, Ilham and Achchab, Said},
	editor = {Benadada, Y}
}
@conference { ISI:000326538300126,
	title = {Combined optimization of shipping and storage costs in a multi-product and multi-level supply chain, under a stochastic demand},
	booktitle = {2013 5TH INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND APPLIED OPTIMIZATION (ICMSAO)},
	year = {2013},
	note = {5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO), Hammamet, TUNISIA, APR 28-30, 2013},
	abstract = {The increasing need for optimality in the presence of uncertainty motivates the development and application of Model Predictive Control. In this paper we apply the Stochastic Model Predictive Control to optimize the cost of storage and transport for a multi-product and a multi-level supply chain under a stochastic demand. We use the dynamic programming to find the control policies resolving the problem.},
	isbn = {978-1-4673-5814-9; 978-1-4673-5812-5},
	author = {Tikito, Kawtar and Achchab, Said and Benadada, Youssef}
}
@conference { ISI:000326538300127,
	title = {Sharing demand forecasts in a basic supply chain using game theory},
	booktitle = {2013 5TH INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND APPLIED OPTIMIZATION (ICMSAO)},
	year = {2013},
	note = {5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO), Hammamet, TUNISIA, APR 28-30, 2013},
	abstract = {Supply chain can be defined as a set of distributed entities composed of manufacturers, suppliers, distributors, retailers and costumers. Supply chain management (SCM) is the supervision of its three flows: the finances flow, the materials flow and the information flow. Indeed, this paper focuses on the information flow, more precisely on sharing information within a one echelon supply chain. It examines a game theory approach applied on a basic supply chain composed of three entities called players: a retailer, a distributor and a supplier with probabilistic demand. Each player is rational: tries to maximize his profit, and consequently tries to find a local optimum; this situation leads to a loss of performance of the whole chain. The goal of our work is to optimize both inventory and transportation costs by using the concept of Game Theory.},
	isbn = {978-1-4673-5814-9; 978-1-4673-5812-5},
	author = {Slimani, Ilham and Achchab, Said}
}
