Hassen Gharbi - Academia.edu (original) (raw)
Papers by Hassen Gharbi
Ce travail s’intéresse à la planification tactique de chaînes logistiques dans un environnement i... more Ce travail s’intéresse à la planification tactique de chaînes logistiques dans un environnement incertain et perturbé. Dans le cadre de relations « point-à point », nous proposons une approche permettant d’élaborer une planification tactique optimale et réactive d’un maillon d’une chaîne logistique en présence de paramètres incertains et de perturbations. Notre approche se fonde sur une structure à deux niveaux décisionnels. Le premier niveau effectue une planification agrégée en minimisant le coût global de production. Il établit ensuite « un plan de guidage » qui est transmis au niveau détaillé. Ce dernier effectue sa planification en suivant « au mieux » le plan de guidage et en prenant en compte les contraintes et données détaillées ignorées au niveau supérieur. Le niveau détaillé adopte un processus dynamique de planification à horizon glissant. Il réactualise ses données à chaque étape de planification afin d’assurer la réactivité du processus décisionnel. Nous caractérisons e...
14th IFAC Symposium on Information Control Problems in Manufacturing, 2012
This paper addresses the problem of tactical supply chain planning under uncertainty and perturba... more This paper addresses the problem of tactical supply chain planning under uncertainty and perturbation. Uncertainty is considered on customer demand. Perturbation is seen as the result of one or more events that may affect the production process and modify already taken decisions. We develop an approach based on successive planning steps (rolling horizon procedure). For each planning step, data is updated and real implemented decisions are taken into account. To deal with uncertainty and perturbation, a detailed analysis of the different stages in decision making is done. This leads us to an original modeling of the decision process. A linear programming model is then proposed. Numerical experiments show the benefits of our approach to face uncertain and disrupted environment.
Sustainability, 2020
A systematic review of the literature is presented related to the usage of blockchain technology ... more A systematic review of the literature is presented related to the usage of blockchain technology (BCT) for cyber-threats in the context of Industry 4.0. BCT plays a crucial role in creating smart factories and it is recognized as a core technology that triggers a disruptive revolution in Industry 4.0. Beyond security, authentication, asset tracking and the exchange of smart contracts, BCTs allow terminals to exchange information according to mutually agreed rules within a secured manner. Consequently, BCT can play a crucial role in industrial sustainability by preserving the assets and the environment and by enhancing the quality of life of citizens. In this work, a classification of the most important cyber-attacks that occurred in the last decade in Industry 4.0 is proposed based on four classes. The latter classes cover scanning, local to remote, power of root and denial of service (DoS). BCT is also defined and various types belong to BCT are introduced and highlighted. Likewise...
2017 4th International Conference on Control, Decision and Information Technologies (CoDIT), 2017
This paper handles the problem of supply chain planning under an uncertain and disrupted environm... more This paper handles the problem of supply chain planning under an uncertain and disrupted environment. Uncertainty affects customer demand while disruption impacts the production process leading to alter already taken decisions. We develop an approach based on a detailed analysis of the different phases of the decision-making process highlighting explicitly two kinds of delay: Anticipation and realization delays. Thus, we propose an original modeling of the decision process. Then, we apply our original modeling within a dynamic planning process (rolling horizon procedure). For each planning step, updated data and real implemented decisions are considered. A linear programming model is then proposed. Numerical experiments express the benefits of our approach.
2009 International Conference on Computers & Industrial Engineering, 2009
... merce@laas.fr, fontan@laas.fr). 2Universite de Toulouse; UPS, INSA, INP, ISAE; LAAS; F-31077 ... more ... merce@laas.fr, fontan@laas.fr). 2Universite de Toulouse; UPS, INSA, INP, ISAE; LAAS; F-31077 Toulouse, France 3Faculte des Sciences de Tunis, LIP2, 2092 EL-MANAR, Tunisie(mohamed.moalla@fst.mu.tn) ABSTRACT ...
2010 IEEE International Conference on Systems, Man and Cybernetics, 2010
This paper addresses the problem of supply chain tactical planning under uncertainty and perturba... more This paper addresses the problem of supply chain tactical planning under uncertainty and perturbation. Uncertainty is defined according to future data and perturbation is detected according to past decisions. We develop an approach based on successive planning steps (rolling horizon procedure). For each planning step, data is updated and real implemented decisions are taken into account. To deal with uncertainty
Ce travail s'interesse a la planification tactique de chaines logistiques dans un environneme... more Ce travail s'interesse a la planification tactique de chaines logistiques dans un environnement incertain et perturbe. Dans le cadre de relations "point-a point", nous proposons une approche permettant d'elaborer une planification tactique optimale et reactive d'un maillon d'une chaine logistique en presence de parametres incertains et de perturbations. Notre approche se fonde sur une structure a deux niveaux decisionnels. Le premier niveau effectue une planification agregee en minimisant le cout global de production. Il etablit ensuite "un plan de guidage" qui est transmis au niveau detaille. Ce dernier effectue sa planification en suivant "au mieux" le plan de guidage et en prenant en compte les contraintes et donnees detaillees ignorees au niveau superieur. Le niveau detaille adopte un processus dynamique de planification a horizon glissant. Il reactualise ses donnees a chaque etape de planification afin d'assurer la reactivite du...
Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts, 2016
Optimizing operations on critical infrastructure networks is key to reducing the impact of disrup... more Optimizing operations on critical infrastructure networks is key to reducing the impact of disruptive events. In this paper, we aim to explore the potential of having humans and algorithms work together to address this difficult task, which we refer to as human in the loop optimization. Additionally, we aim to use game-based experiments to build and assess this potential in the context of the debris collection problem. To start, we developed an Excel-based prototype which allow humans to propose their own solutions for simplified problem contexts. Through two within-subjects experimental studies we assessed how humans optimized under various circumstances with this prototype compared to the computer on its own. The results suggest that human input may indeed help in solving complex problems but that guidance is needed. Future work will focus on running additional game-based experiments.
This paper addresses the problem of tactical supply chain planning under uncertainty and perturba... more This paper addresses the problem of tactical supply chain planning under uncertainty and perturbation. Uncertainty is considered on customer demand. Perturbation is seen as the result of one or more events that may affect the production process and modify already taken decisions. We develop an approach based on successive planning steps (rolling horizon procedure). For each planning step, data is updated and real implemented decisions are taken into account. To deal with uncertainty and perturbation, a detailed analysis of the different stages in decision making is done. This leads us to an original modeling of the decision process. A linear programming model is then proposed. Numerical experiments show the benefits of our approach to face uncertain and disrupted environment.
Ce travail s’intéresse à la planification tactique de chaînes logistiques dans un environnement i... more Ce travail s’intéresse à la planification tactique de chaînes logistiques dans un environnement incertain et perturbé. Dans le cadre de relations « point-à point », nous proposons une approche permettant d’élaborer une planification tactique optimale et réactive d’un maillon d’une chaîne logistique en présence de paramètres incertains et de perturbations. Notre approche se fonde sur une structure à deux niveaux décisionnels. Le premier niveau effectue une planification agrégée en minimisant le coût global de production. Il établit ensuite « un plan de guidage » qui est transmis au niveau détaillé. Ce dernier effectue sa planification en suivant « au mieux » le plan de guidage et en prenant en compte les contraintes et données détaillées ignorées au niveau supérieur. Le niveau détaillé adopte un processus dynamique de planification à horizon glissant. Il réactualise ses données à chaque étape de planification afin d’assurer la réactivité du processus décisionnel. Nous caractérisons e...
14th IFAC Symposium on Information Control Problems in Manufacturing, 2012
This paper addresses the problem of tactical supply chain planning under uncertainty and perturba... more This paper addresses the problem of tactical supply chain planning under uncertainty and perturbation. Uncertainty is considered on customer demand. Perturbation is seen as the result of one or more events that may affect the production process and modify already taken decisions. We develop an approach based on successive planning steps (rolling horizon procedure). For each planning step, data is updated and real implemented decisions are taken into account. To deal with uncertainty and perturbation, a detailed analysis of the different stages in decision making is done. This leads us to an original modeling of the decision process. A linear programming model is then proposed. Numerical experiments show the benefits of our approach to face uncertain and disrupted environment.
Sustainability, 2020
A systematic review of the literature is presented related to the usage of blockchain technology ... more A systematic review of the literature is presented related to the usage of blockchain technology (BCT) for cyber-threats in the context of Industry 4.0. BCT plays a crucial role in creating smart factories and it is recognized as a core technology that triggers a disruptive revolution in Industry 4.0. Beyond security, authentication, asset tracking and the exchange of smart contracts, BCTs allow terminals to exchange information according to mutually agreed rules within a secured manner. Consequently, BCT can play a crucial role in industrial sustainability by preserving the assets and the environment and by enhancing the quality of life of citizens. In this work, a classification of the most important cyber-attacks that occurred in the last decade in Industry 4.0 is proposed based on four classes. The latter classes cover scanning, local to remote, power of root and denial of service (DoS). BCT is also defined and various types belong to BCT are introduced and highlighted. Likewise...
2017 4th International Conference on Control, Decision and Information Technologies (CoDIT), 2017
This paper handles the problem of supply chain planning under an uncertain and disrupted environm... more This paper handles the problem of supply chain planning under an uncertain and disrupted environment. Uncertainty affects customer demand while disruption impacts the production process leading to alter already taken decisions. We develop an approach based on a detailed analysis of the different phases of the decision-making process highlighting explicitly two kinds of delay: Anticipation and realization delays. Thus, we propose an original modeling of the decision process. Then, we apply our original modeling within a dynamic planning process (rolling horizon procedure). For each planning step, updated data and real implemented decisions are considered. A linear programming model is then proposed. Numerical experiments express the benefits of our approach.
2009 International Conference on Computers & Industrial Engineering, 2009
... merce@laas.fr, fontan@laas.fr). 2Universite de Toulouse; UPS, INSA, INP, ISAE; LAAS; F-31077 ... more ... merce@laas.fr, fontan@laas.fr). 2Universite de Toulouse; UPS, INSA, INP, ISAE; LAAS; F-31077 Toulouse, France 3Faculte des Sciences de Tunis, LIP2, 2092 EL-MANAR, Tunisie(mohamed.moalla@fst.mu.tn) ABSTRACT ...
2010 IEEE International Conference on Systems, Man and Cybernetics, 2010
This paper addresses the problem of supply chain tactical planning under uncertainty and perturba... more This paper addresses the problem of supply chain tactical planning under uncertainty and perturbation. Uncertainty is defined according to future data and perturbation is detected according to past decisions. We develop an approach based on successive planning steps (rolling horizon procedure). For each planning step, data is updated and real implemented decisions are taken into account. To deal with uncertainty
Ce travail s'interesse a la planification tactique de chaines logistiques dans un environneme... more Ce travail s'interesse a la planification tactique de chaines logistiques dans un environnement incertain et perturbe. Dans le cadre de relations "point-a point", nous proposons une approche permettant d'elaborer une planification tactique optimale et reactive d'un maillon d'une chaine logistique en presence de parametres incertains et de perturbations. Notre approche se fonde sur une structure a deux niveaux decisionnels. Le premier niveau effectue une planification agregee en minimisant le cout global de production. Il etablit ensuite "un plan de guidage" qui est transmis au niveau detaille. Ce dernier effectue sa planification en suivant "au mieux" le plan de guidage et en prenant en compte les contraintes et donnees detaillees ignorees au niveau superieur. Le niveau detaille adopte un processus dynamique de planification a horizon glissant. Il reactualise ses donnees a chaque etape de planification afin d'assurer la reactivite du...
Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts, 2016
Optimizing operations on critical infrastructure networks is key to reducing the impact of disrup... more Optimizing operations on critical infrastructure networks is key to reducing the impact of disruptive events. In this paper, we aim to explore the potential of having humans and algorithms work together to address this difficult task, which we refer to as human in the loop optimization. Additionally, we aim to use game-based experiments to build and assess this potential in the context of the debris collection problem. To start, we developed an Excel-based prototype which allow humans to propose their own solutions for simplified problem contexts. Through two within-subjects experimental studies we assessed how humans optimized under various circumstances with this prototype compared to the computer on its own. The results suggest that human input may indeed help in solving complex problems but that guidance is needed. Future work will focus on running additional game-based experiments.
This paper addresses the problem of tactical supply chain planning under uncertainty and perturba... more This paper addresses the problem of tactical supply chain planning under uncertainty and perturbation. Uncertainty is considered on customer demand. Perturbation is seen as the result of one or more events that may affect the production process and modify already taken decisions. We develop an approach based on successive planning steps (rolling horizon procedure). For each planning step, data is updated and real implemented decisions are taken into account. To deal with uncertainty and perturbation, a detailed analysis of the different stages in decision making is done. This leads us to an original modeling of the decision process. A linear programming model is then proposed. Numerical experiments show the benefits of our approach to face uncertain and disrupted environment.