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Access to electricity and supplying reliable energy are the key elements that support local economic development and contribute to reducing poverty. Moreover, the problem of environmental protection can be considered as a factor of sustainable development. In response to these many challenges, appropriate national and regional policies, as well as mechanisms, have been implemented. In Mali, strong dependence on the importation of oil, growth in demand, and the low rate of electrification have pushed the highest authorities to think of diversified technological solutions like renewable energy for the satisfaction of energy demands, especially photovoltaics, for which the country has significant potential. The hybrid systems used is a compromise, because the emission rate of carbon dioxide emitted by thermal power plants must be reduced and limited to preserve supernatural disasters. For this, hybrid photovoltaic systems coupled to the grid increased, but the management of the production of these photovoltaics poses a lot of problem due to its intermittent status. It is in this context that we conducted an optimization study of a hybrid system photovoltaic connected to the grid. We applied our approach to the most extensive distribution post of Mali capital. For the simulation, we used the modeling and simulation tool named HOMER.
Amadou Touré; Sid Addouche; Fadaba Danioko; Badié Diourté; Abderrahman Mhamedi. Hybrid Systems Optimization: Application to Hybrid Systems Photovoltaic Connected to Grid. A Mali Case Study. Sustainability 2019, 11, 2356 .
AMA StyleAmadou Touré, Sid Addouche, Fadaba Danioko, Badié Diourté, Abderrahman Mhamedi. Hybrid Systems Optimization: Application to Hybrid Systems Photovoltaic Connected to Grid. A Mali Case Study. Sustainability. 2019; 11 (8):2356.
Chicago/Turabian StyleAmadou Touré; Sid Addouche; Fadaba Danioko; Badié Diourté; Abderrahman Mhamedi. 2019. "Hybrid Systems Optimization: Application to Hybrid Systems Photovoltaic Connected to Grid. A Mali Case Study." Sustainability 11, no. 8: 2356.
One of the most innovative solutions treated in the literature in order to reduce the environmental impact of urban parcel delivery logistics is the use of drones for delivery on the last kilometer. Consequently, nowadays, the primary challenge is essentially related to the drones’ fleet sizing according to its means of support for the urban delivery of parcels. In this paper, we will discuss the issue of dimensioning from a forecast of deliveries of an urban perimeter, the size of the fleet, the stock of battery to dispose of and the strategy of battery charging. We will present an analytical model expressing the proposed problem of the optimal drones’ delivery mission taking into account the issues of autonomy and energy consumption related to the drone’s technical specification. According to the developed analytical model, two optimization policies will be proposed. The first policy consists of planning missions under reducing distance. The second policy tries to make a compromise between the distance and the number of drones. A case study will be presented in order to compare the two policies based on the overall cost of a plan. The main objective of the study is to create a decision-making tool for the design of a drone fleet in the case of forecast deliveries over a time horizon under operational constraints.
Asma Troudi; Sid-Ali Addouche; Sofiene Dellagi; Abderrahman El Mhamedi. Sizing of the Drone Delivery Fleet Considering Energy Autonomy. Sustainability 2018, 10, 3344 .
AMA StyleAsma Troudi, Sid-Ali Addouche, Sofiene Dellagi, Abderrahman El Mhamedi. Sizing of the Drone Delivery Fleet Considering Energy Autonomy. Sustainability. 2018; 10 (9):3344.
Chicago/Turabian StyleAsma Troudi; Sid-Ali Addouche; Sofiene Dellagi; Abderrahman El Mhamedi. 2018. "Sizing of the Drone Delivery Fleet Considering Energy Autonomy." Sustainability 10, no. 9: 3344.
N. Ghorbel; S-A. Addouche; A. El Mhamedi. Forward management of spare parts stock shortages via causal reasoning using reinforcement learning. IFAC-PapersOnLine 2015, 48, 1061 -1066.
AMA StyleN. Ghorbel, S-A. Addouche, A. El Mhamedi. Forward management of spare parts stock shortages via causal reasoning using reinforcement learning. IFAC-PapersOnLine. 2015; 48 (3):1061-1066.
Chicago/Turabian StyleN. Ghorbel; S-A. Addouche; A. El Mhamedi. 2015. "Forward management of spare parts stock shortages via causal reasoning using reinforcement learning." IFAC-PapersOnLine 48, no. 3: 1061-1066.
In this paper, we present an approach to carry out an analysis of the performance of given industrial supplies or of a group of machines. This approach defines a target group for machines whose unavailability can indeed seriously hinder the objectives of production, and generates high maintenance costs. We will refer to the data of maintenance to identify the major failures and to classify relevant causes. The Bayesian networks have been used to better grasp the causes of failures and to quantify unavailability related to with these failures.
F. Danioko; S. Apedome; S. Addouche; A. El Mhamedi. Performance Management of Industrial Supplies by Bayesian Networks: Proposed Approach and Industrial Application. IFAC Proceedings Volumes 2012, 45, 924 -928.
AMA StyleF. Danioko, S. Apedome, S. Addouche, A. El Mhamedi. Performance Management of Industrial Supplies by Bayesian Networks: Proposed Approach and Industrial Application. IFAC Proceedings Volumes. 2012; 45 (6):924-928.
Chicago/Turabian StyleF. Danioko; S. Apedome; S. Addouche; A. El Mhamedi. 2012. "Performance Management of Industrial Supplies by Bayesian Networks: Proposed Approach and Industrial Application." IFAC Proceedings Volumes 45, no. 6: 924-928.
The vehicle routing problem with simultaneous pickups and deliveries and time windows (VRP-SPDTW) is the problem of optimally integrating forward (good distribution) and reverse logistics (returning materials) for cost saving and environmental protection. We constructed a general mixed integer programming model of VRP-SPDTW. We present an Improved Ant Colony System (ACS) for the VRPSPDTW (Vehicle Routing Problem with Simultaneous Pick-up and Delivery with Time Windows). We submit adaptations and additions to the different solutions for VRPSPDTW. The real treated problem is to minimize the number of bus fleet that have to serve several schools (stations) for pick-up and delivery of different groups of students at different time windows. In detail, this problem is particularly complex. The significant improvement is to take into account the individual time windows, the time of service in each station and the preference function related to operation type at each served station.
L. Boubahri; S.-A. Addouche; A. El Mhamedi. Multi-ant colonies algorithms for the VRPSPDTW. 2011 International Conference on Communications, Computing and Control Applications (CCCA) 2011, 1 -6.
AMA StyleL. Boubahri, S.-A. Addouche, A. El Mhamedi. Multi-ant colonies algorithms for the VRPSPDTW. 2011 International Conference on Communications, Computing and Control Applications (CCCA). 2011; ():1-6.
Chicago/Turabian StyleL. Boubahri; S.-A. Addouche; A. El Mhamedi. 2011. "Multi-ant colonies algorithms for the VRPSPDTW." 2011 International Conference on Communications, Computing and Control Applications (CCCA) , no. : 1-6.