MUSTAPHA OUDANI received the Ph.D. degree in operational research and computer science from Normandy University, Le Havre, France, and the Ph.D. degree in computational mathematics from Sidi Mohamed Ben Abdellah University, Fez, Morocco. He is currently an Assistant Professor of mathematics and operations research with the International University of Rabat, Morocco. His research interests are operational research, optimization, simulation, and port logistics.
2018 Sixth International Conference on Enterprise Systems (ES), 2018
In a world where the companies are constantly faced with changing consumptions patterns, they mus... more In a world where the companies are constantly faced with changing consumptions patterns, they must continually adapt their business practices and improve their responsiveness, the flow of information has become more important and varied, the communication technologies changed the speed of diffusion, complexity and ease of access. Data has become a concept of value creation, Data analysis, Data mining turned out to be a major asset related to survival of the organization. Industry 4.0 is now a new reality of the modern economy, the traditional philosophy of manufacturing systems will change, including Enterprise Resources Planning systems, the emerging technologies also called modern technologies which refer to Internet of Things, wireless sensor networks, Big Data are being introduced into the manufacturing environment which initiate a fourth industrial revolution. The implementation of this concept has further consequences for management and jobs. The purpose of the current researc...
In an increasingly competitive environment, companies are led to develop their competitiveness, a... more In an increasingly competitive environment, companies are led to develop their competitiveness, a development that requires the efficient management of the supply chain. Supply chain optimization has become a major challenge. Despite the Information Technologies Solutions (ITS) available, decisions about how to plan a company's supply chain still hard to make. This is due to the complexity of problems in a logistics network and to their stochastic aspect. Therefore, combined Simulation/Optimization techniques were widely used to cope with this stochasticity. This paper is a preliminary attempt to review some applications of optimization simulation in a supply chain context, state of art various algorithms and simulation tools used in this field.
2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA), 2016
A parallel genetic algorithm (GA) implemented on GPU clusters is proposed to solve the Uncapacita... more A parallel genetic algorithm (GA) implemented on GPU clusters is proposed to solve the Uncapacitated Single Allocation Hub Location problem. The GA uses binary and integer encoding with genetic operators adapted to this problem. Our GA is improved by initially locating hubs at middle nodes. In our implementation we use the power of the GPU to compute in parallel several initial solutions, varying the number of hubs. The obtained experimental results compared with the best known solutions on all benchmarks. They show that our approach outperforms most well-known heuristics in terms of solution quality and time execution. Also it allowed to solve instances problem unsolved before.
2020 5th International Conference on Logistics Operations Management (GOL), 2020
Since their introduction, Vehicle Routing Problems (VRPs) are increasingly receiving attention of... more Since their introduction, Vehicle Routing Problems (VRPs) are increasingly receiving attention of researchers. Several variants of VRPs have been introduced for numerous applications. Most of the approaches found within the literature propose to address VRPs on a customer-based graph, considering that every two nodes are linked by a single best path computed based on one criterion that is mostly the distance. However, in reality, many features can be associated to each road segment, hence alternative paths should be considered. In this study we propose a mathematical model to deal with Vehicle Routing Problem under capacity and Time Window constraint with alternative Paths denoted by CVRPTW-P for perishable food delivery. To handle the issue aforementioned, we model the problem using real road network graph. In the proposed approach alternative paths are considered in order to design routes based on real spatial data instead of mathematical equations which is commonly used in the li...
L’objectif de ce travail est de proposer un mode d’exploitation optimise, base sur une approche d... more L’objectif de ce travail est de proposer un mode d’exploitation optimise, base sur une approche d’optimisation et de simulation, pour le transfert ferroviaire massifie de conteneurs entre le terminal maritime Atlantique et le futur terminal multimodal du port du Havre. L’outil de simulation a evenements discrets a ete realise en utilisant le logiciel Flexsim CT. Les variables de decision de la simulation sont determinees par l’optimisation grâce au logiciel Cplex. Le but est de determiner la strategie la moins couteuse pour le transfert d’un ensemble de conteneurs entre deux terminaux a conteneurs. Des resultats numeriques sont presentes et analyses pour montrer l’efficacite de notre approche.
High transportation costs and poor quality of service are common vulnerabilities in various logis... more High transportation costs and poor quality of service are common vulnerabilities in various logistics networks, especially in food distribution. Here we propose a many-objective Customer-centric Perishable Food Distribution Problem that focuses on the cost, the quality of the product, and the service level improvement by considering not only time windows but also the customers’ target time and their priority. Recognizing the difficulty of solving such model, we propose a General Variable Neighborhood Search (GVNS) metaheuristic based approach that allows to efficiently solve a subproblem while allowing us to obtain a set of solutions. These solutions are evaluated over some non-optimized criteria and then ranked using an a posteriori approach that requires minimal information about decision maker preferences. The computational results show (a) GVNS achieved same quality solutions as an exact solver (CPLEX) in the subproblem; (b) GVNS can generate a wide number of candidate solutions...
Industry 4.0 is a well spread research topic both in academia and industrial areas, the concept a... more Industry 4.0 is a well spread research topic both in academia and industrial areas, the concept afflicts meaningful changes and modifications to known up to day traditional concept of Logistics by adopting Industry 4.0 key technologies such as wireless information transmission, big data and Internet of Things. In the context of fourth industrial revolution, technological innovation has become a necessity asset to production systems and scheduling, thus creating a direct influence on the concept of Logistics, best given examples are the development and the widespread integration of information and communication technologies in applications over the last ten years such transport management systems, warehouse management systems and much more. Continuous variables decision-making processes such as scheduling have gained a huge interest recently especially with increasing shift to smart manufacturing where non linear optimization is not working in practice for large-scale planning and sc...
In this paper, a Capacitated Vehicle Routing Problem with Fuzzy Time Windows and multiple Paths (... more In this paper, a Capacitated Vehicle Routing Problem with Fuzzy Time Windows and multiple Paths (CVRPFTW-P) for the distribution of perishable food in urban area is proposed and solved. We adopt the real road network modeling approach considering alternative paths to find efficient routes based on real spatial data. The parametric approach is used to decompose the original fuzzy problem into a set of crisp models (CVRPFTW-P). Experiments based on a designed case study in Casablanca city of Morocco was conducted to evaluate the impact of flexible time windows on distribution costs and results show that CVRPFTW-P model can attain significant cost-saving while ensuring a good level of service.
Nowadays, consumers in any community in the world, desire a progressive improvement of life quali... more Nowadays, consumers in any community in the world, desire a progressive improvement of life quality, while thinking about sustainable approaches, and the industry has been advancing, evolving to keep up with these requirements. The consumption pattern faces a continuous and nearly unpredict-able change; companies all over the word must adapt their business practices and cope with the customer needs the explicit and implicit ones. Rapid technologies upgrade, evolution and change are the actual main challenges of the industrial enterprises, data and data analytics has become a core asset related to the performance of the organizations. Industry 4.0 envisions a digital transformation in the enterprise, entwining the cyber-physical world and real world of manufacturing to deliver networked production with enhanced process transparency. The question is how about the developing countries on the African continent and in strategic geographical position such as Morocco will deal with this fourth revolution. The purpose of the current paper is to question the readiness of Morocco and highlight the challenges it faces to integrate the Industry 4.0.
Growing competition in the world enforces the need for an efficient design of transportation netw... more Growing competition in the world enforces the need for an efficient design of transportation networks. Furthermore, a competitive transportation network should also be eco-friendly. As road transportation is responsible for the largest quantities of CO2 emissions, Intermodal Transportation (IT) might be a potential alternative. From this perspective, intermodal terminals location is a cornerstone for building a sustainable transportation network. The purpose of this paper is to study and efficiently solve the Intermodal Terminal Location Problem on incomplete networks. We model this problem as a mixed integer linear program and develop a simulated annealing algorithm to tackle medium and large instances. The computational results show that the obtained solutions using simulated annealing are competitive and close to the exact solutions found by CPLEX solver for small and medium instances. The same developed algorithm outperforms the best found solutions from the literature using heu...
2019 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)
Since the first Industrial revolution, many engineers attempted to resolve problems related to op... more Since the first Industrial revolution, many engineers attempted to resolve problems related to operations, machinery and their maintenance, by doing so, they tried to improve the efficiency of production processes. Decades ago, due to the introduction of computers and computational methods, a new wave of solution to manufacturing related problems emerged, those provided solutions were more accurate therefore a significant boost was given to the Industries worldwide. By 2050 The Globe's population is destined to reach 9.3 Billion and different challenges and issues are adding pressure on the current industry supply chains like transport, deadlines, cost, quality etc; the term Industry 4.0, the Fourth Industrial Revolution originally initiated in Germany, has proven to be an attractive topic in recent literatures, A new era of change birthed and it is directly linked to the Internet of Things, Cyber Physical System, Information and Communications Technologies. As the fourth industrial revolution shapes up, human operators are at the center of the change, they experience a complexity increase in their daily routines, and they are required to be highly flexible and to adapt to a very dynamic working environment. The paper discuss the term Industry 4.0, its context, raison d’être, challenges and highlight the critical issue of the employees' driven adaptability and attitudes to change.
2020 IEEE 13th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA)
The advancement of technological innovation and the growth of the variety of customer demands, pr... more The advancement of technological innovation and the growth of the variety of customer demands, promote the evolution of traditional challenges that pushes the industrial sector to change in order to follow market trends and maintain its positioning, this transformation impacts the current structural and managerial organization of companies. Technological innovation has become a prerequisite for modern production which influences directly the concept of logistics. In the context of Industry 4.0 which includes not only the development but also the integration of new information and communication technologies within the industry, the widespread use in the last decade of applications such as Enterprise Resource Planning, Transportation Management Systems and Warehouse Management Systems prove the adoption of technological innovation through logistics. Following the major stages of the industrial revolution, logistics is currently at the level of phase 4. The Distributed scheduling algorithm might be the new driving force of optimization in the Logistics 4.0 under Industry 4.0 key enabling technologies.
2020 IEEE 13th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA)
Owing the negative externalities for environment, governments and companies are more and more ope... more Owing the negative externalities for environment, governments and companies are more and more operating to propose sustainable products and services. In transportation sector, a sustainable solution may be the design of alternative for road transportation which is responsible for a major part of CO2 emissions. Intermodal transportation is known to be eco-friendly since it involves low emissions modes (rail, river). Designing an intermodal network consists on location of intermodal terminals which are dedicated facilities for transshipment between modes. We introduce in this paper two fuzzy models of Intermodal Terminal Location problem (ITLP). The first one consider the uncertainty on the number of rail terminals to be opened while the second consider a fuzzy number of rail links between located terminals. The two fuzzy models are transformed, using a parametric approach, to crisp models. Numerical results are reported using generated instances.
Nowadays, seaports seek to achieve a better massification (massive transportation of containers) ... more Nowadays, seaports seek to achieve a better massification (massive transportation of containers) share of their hinterland transport by promoting rail and river connections in order to more rapidly evacuate increasing container traffic shipped by sea and to avoid landside congestion. The attractiveness of a seaport to shipping enterprises depends not only on its reliability and nautical qualities but also on its massified hinterland connection capacity. Contrary to what has been observed in Europe, the massification share of Le Havre seaport has stagnated in recent years. To overcome this situation, Le Havre Port Authority is putting into service a multimodal hub terminal linked only with massified modes. In this study, we focus on rail–rail transshipment of this new terminal, specifically on minimizing unproductive situations of cranes to improve crane productivity and to speed up freight train processing. To this end, an improving agent-based engineering strategy called the “crane...
Abstract Optimizing energy consumption is considered as one of the major search axes and concerns... more Abstract Optimizing energy consumption is considered as one of the major search axes and concerns on Wireless Sensor Networks (WSNs). In fact, it’s very important to design mathematical model that permit energy expense in most efficient way for routing packets and communications with sinks while enhancing performance and coverage. Several research papers work around this problematic and address energy consumption issues in WSNs. However, these works are mostly based on theoretical mathematical model and do not consider the variable nature of this type of networks. The purpose of this paper is to propose a Wireless Sensor Network design minimizing the battery energy used for routing data packets between deployed sensors and sinks. For this, we proposed a fuzzy formulation of the Coverage Sink Location and Routing Problem (CSLRP) generalizing the crisp version introduced in the literature. This version comprises a fuzzy constraint on the number of sinks to be located. We use the alpha-cut method to transform fuzzy model to a set of crisp ones. Generated solutions by solving the crisp models constitutes a solution of the initial fuzzy model.
2018 Sixth International Conference on Enterprise Systems (ES), 2018
In a world where the companies are constantly faced with changing consumptions patterns, they mus... more In a world where the companies are constantly faced with changing consumptions patterns, they must continually adapt their business practices and improve their responsiveness, the flow of information has become more important and varied, the communication technologies changed the speed of diffusion, complexity and ease of access. Data has become a concept of value creation, Data analysis, Data mining turned out to be a major asset related to survival of the organization. Industry 4.0 is now a new reality of the modern economy, the traditional philosophy of manufacturing systems will change, including Enterprise Resources Planning systems, the emerging technologies also called modern technologies which refer to Internet of Things, wireless sensor networks, Big Data are being introduced into the manufacturing environment which initiate a fourth industrial revolution. The implementation of this concept has further consequences for management and jobs. The purpose of the current researc...
In an increasingly competitive environment, companies are led to develop their competitiveness, a... more In an increasingly competitive environment, companies are led to develop their competitiveness, a development that requires the efficient management of the supply chain. Supply chain optimization has become a major challenge. Despite the Information Technologies Solutions (ITS) available, decisions about how to plan a company's supply chain still hard to make. This is due to the complexity of problems in a logistics network and to their stochastic aspect. Therefore, combined Simulation/Optimization techniques were widely used to cope with this stochasticity. This paper is a preliminary attempt to review some applications of optimization simulation in a supply chain context, state of art various algorithms and simulation tools used in this field.
2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA), 2016
A parallel genetic algorithm (GA) implemented on GPU clusters is proposed to solve the Uncapacita... more A parallel genetic algorithm (GA) implemented on GPU clusters is proposed to solve the Uncapacitated Single Allocation Hub Location problem. The GA uses binary and integer encoding with genetic operators adapted to this problem. Our GA is improved by initially locating hubs at middle nodes. In our implementation we use the power of the GPU to compute in parallel several initial solutions, varying the number of hubs. The obtained experimental results compared with the best known solutions on all benchmarks. They show that our approach outperforms most well-known heuristics in terms of solution quality and time execution. Also it allowed to solve instances problem unsolved before.
2020 5th International Conference on Logistics Operations Management (GOL), 2020
Since their introduction, Vehicle Routing Problems (VRPs) are increasingly receiving attention of... more Since their introduction, Vehicle Routing Problems (VRPs) are increasingly receiving attention of researchers. Several variants of VRPs have been introduced for numerous applications. Most of the approaches found within the literature propose to address VRPs on a customer-based graph, considering that every two nodes are linked by a single best path computed based on one criterion that is mostly the distance. However, in reality, many features can be associated to each road segment, hence alternative paths should be considered. In this study we propose a mathematical model to deal with Vehicle Routing Problem under capacity and Time Window constraint with alternative Paths denoted by CVRPTW-P for perishable food delivery. To handle the issue aforementioned, we model the problem using real road network graph. In the proposed approach alternative paths are considered in order to design routes based on real spatial data instead of mathematical equations which is commonly used in the li...
L’objectif de ce travail est de proposer un mode d’exploitation optimise, base sur une approche d... more L’objectif de ce travail est de proposer un mode d’exploitation optimise, base sur une approche d’optimisation et de simulation, pour le transfert ferroviaire massifie de conteneurs entre le terminal maritime Atlantique et le futur terminal multimodal du port du Havre. L’outil de simulation a evenements discrets a ete realise en utilisant le logiciel Flexsim CT. Les variables de decision de la simulation sont determinees par l’optimisation grâce au logiciel Cplex. Le but est de determiner la strategie la moins couteuse pour le transfert d’un ensemble de conteneurs entre deux terminaux a conteneurs. Des resultats numeriques sont presentes et analyses pour montrer l’efficacite de notre approche.
High transportation costs and poor quality of service are common vulnerabilities in various logis... more High transportation costs and poor quality of service are common vulnerabilities in various logistics networks, especially in food distribution. Here we propose a many-objective Customer-centric Perishable Food Distribution Problem that focuses on the cost, the quality of the product, and the service level improvement by considering not only time windows but also the customers’ target time and their priority. Recognizing the difficulty of solving such model, we propose a General Variable Neighborhood Search (GVNS) metaheuristic based approach that allows to efficiently solve a subproblem while allowing us to obtain a set of solutions. These solutions are evaluated over some non-optimized criteria and then ranked using an a posteriori approach that requires minimal information about decision maker preferences. The computational results show (a) GVNS achieved same quality solutions as an exact solver (CPLEX) in the subproblem; (b) GVNS can generate a wide number of candidate solutions...
Industry 4.0 is a well spread research topic both in academia and industrial areas, the concept a... more Industry 4.0 is a well spread research topic both in academia and industrial areas, the concept afflicts meaningful changes and modifications to known up to day traditional concept of Logistics by adopting Industry 4.0 key technologies such as wireless information transmission, big data and Internet of Things. In the context of fourth industrial revolution, technological innovation has become a necessity asset to production systems and scheduling, thus creating a direct influence on the concept of Logistics, best given examples are the development and the widespread integration of information and communication technologies in applications over the last ten years such transport management systems, warehouse management systems and much more. Continuous variables decision-making processes such as scheduling have gained a huge interest recently especially with increasing shift to smart manufacturing where non linear optimization is not working in practice for large-scale planning and sc...
In this paper, a Capacitated Vehicle Routing Problem with Fuzzy Time Windows and multiple Paths (... more In this paper, a Capacitated Vehicle Routing Problem with Fuzzy Time Windows and multiple Paths (CVRPFTW-P) for the distribution of perishable food in urban area is proposed and solved. We adopt the real road network modeling approach considering alternative paths to find efficient routes based on real spatial data. The parametric approach is used to decompose the original fuzzy problem into a set of crisp models (CVRPFTW-P). Experiments based on a designed case study in Casablanca city of Morocco was conducted to evaluate the impact of flexible time windows on distribution costs and results show that CVRPFTW-P model can attain significant cost-saving while ensuring a good level of service.
Nowadays, consumers in any community in the world, desire a progressive improvement of life quali... more Nowadays, consumers in any community in the world, desire a progressive improvement of life quality, while thinking about sustainable approaches, and the industry has been advancing, evolving to keep up with these requirements. The consumption pattern faces a continuous and nearly unpredict-able change; companies all over the word must adapt their business practices and cope with the customer needs the explicit and implicit ones. Rapid technologies upgrade, evolution and change are the actual main challenges of the industrial enterprises, data and data analytics has become a core asset related to the performance of the organizations. Industry 4.0 envisions a digital transformation in the enterprise, entwining the cyber-physical world and real world of manufacturing to deliver networked production with enhanced process transparency. The question is how about the developing countries on the African continent and in strategic geographical position such as Morocco will deal with this fourth revolution. The purpose of the current paper is to question the readiness of Morocco and highlight the challenges it faces to integrate the Industry 4.0.
Growing competition in the world enforces the need for an efficient design of transportation netw... more Growing competition in the world enforces the need for an efficient design of transportation networks. Furthermore, a competitive transportation network should also be eco-friendly. As road transportation is responsible for the largest quantities of CO2 emissions, Intermodal Transportation (IT) might be a potential alternative. From this perspective, intermodal terminals location is a cornerstone for building a sustainable transportation network. The purpose of this paper is to study and efficiently solve the Intermodal Terminal Location Problem on incomplete networks. We model this problem as a mixed integer linear program and develop a simulated annealing algorithm to tackle medium and large instances. The computational results show that the obtained solutions using simulated annealing are competitive and close to the exact solutions found by CPLEX solver for small and medium instances. The same developed algorithm outperforms the best found solutions from the literature using heu...
2019 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)
Since the first Industrial revolution, many engineers attempted to resolve problems related to op... more Since the first Industrial revolution, many engineers attempted to resolve problems related to operations, machinery and their maintenance, by doing so, they tried to improve the efficiency of production processes. Decades ago, due to the introduction of computers and computational methods, a new wave of solution to manufacturing related problems emerged, those provided solutions were more accurate therefore a significant boost was given to the Industries worldwide. By 2050 The Globe's population is destined to reach 9.3 Billion and different challenges and issues are adding pressure on the current industry supply chains like transport, deadlines, cost, quality etc; the term Industry 4.0, the Fourth Industrial Revolution originally initiated in Germany, has proven to be an attractive topic in recent literatures, A new era of change birthed and it is directly linked to the Internet of Things, Cyber Physical System, Information and Communications Technologies. As the fourth industrial revolution shapes up, human operators are at the center of the change, they experience a complexity increase in their daily routines, and they are required to be highly flexible and to adapt to a very dynamic working environment. The paper discuss the term Industry 4.0, its context, raison d’être, challenges and highlight the critical issue of the employees' driven adaptability and attitudes to change.
2020 IEEE 13th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA)
The advancement of technological innovation and the growth of the variety of customer demands, pr... more The advancement of technological innovation and the growth of the variety of customer demands, promote the evolution of traditional challenges that pushes the industrial sector to change in order to follow market trends and maintain its positioning, this transformation impacts the current structural and managerial organization of companies. Technological innovation has become a prerequisite for modern production which influences directly the concept of logistics. In the context of Industry 4.0 which includes not only the development but also the integration of new information and communication technologies within the industry, the widespread use in the last decade of applications such as Enterprise Resource Planning, Transportation Management Systems and Warehouse Management Systems prove the adoption of technological innovation through logistics. Following the major stages of the industrial revolution, logistics is currently at the level of phase 4. The Distributed scheduling algorithm might be the new driving force of optimization in the Logistics 4.0 under Industry 4.0 key enabling technologies.
2020 IEEE 13th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA)
Owing the negative externalities for environment, governments and companies are more and more ope... more Owing the negative externalities for environment, governments and companies are more and more operating to propose sustainable products and services. In transportation sector, a sustainable solution may be the design of alternative for road transportation which is responsible for a major part of CO2 emissions. Intermodal transportation is known to be eco-friendly since it involves low emissions modes (rail, river). Designing an intermodal network consists on location of intermodal terminals which are dedicated facilities for transshipment between modes. We introduce in this paper two fuzzy models of Intermodal Terminal Location problem (ITLP). The first one consider the uncertainty on the number of rail terminals to be opened while the second consider a fuzzy number of rail links between located terminals. The two fuzzy models are transformed, using a parametric approach, to crisp models. Numerical results are reported using generated instances.
Nowadays, seaports seek to achieve a better massification (massive transportation of containers) ... more Nowadays, seaports seek to achieve a better massification (massive transportation of containers) share of their hinterland transport by promoting rail and river connections in order to more rapidly evacuate increasing container traffic shipped by sea and to avoid landside congestion. The attractiveness of a seaport to shipping enterprises depends not only on its reliability and nautical qualities but also on its massified hinterland connection capacity. Contrary to what has been observed in Europe, the massification share of Le Havre seaport has stagnated in recent years. To overcome this situation, Le Havre Port Authority is putting into service a multimodal hub terminal linked only with massified modes. In this study, we focus on rail–rail transshipment of this new terminal, specifically on minimizing unproductive situations of cranes to improve crane productivity and to speed up freight train processing. To this end, an improving agent-based engineering strategy called the “crane...
Abstract Optimizing energy consumption is considered as one of the major search axes and concerns... more Abstract Optimizing energy consumption is considered as one of the major search axes and concerns on Wireless Sensor Networks (WSNs). In fact, it’s very important to design mathematical model that permit energy expense in most efficient way for routing packets and communications with sinks while enhancing performance and coverage. Several research papers work around this problematic and address energy consumption issues in WSNs. However, these works are mostly based on theoretical mathematical model and do not consider the variable nature of this type of networks. The purpose of this paper is to propose a Wireless Sensor Network design minimizing the battery energy used for routing data packets between deployed sensors and sinks. For this, we proposed a fuzzy formulation of the Coverage Sink Location and Routing Problem (CSLRP) generalizing the crisp version introduced in the literature. This version comprises a fuzzy constraint on the number of sinks to be located. We use the alpha-cut method to transform fuzzy model to a set of crisp ones. Generated solutions by solving the crisp models constitutes a solution of the initial fuzzy model.
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