Pub Date : 2013-05-29DOI: 10.1109/ICADLT.2013.6568462
Fei Yan, M. Dridi, A. El Moudni
This paper addresses a vehicle sequencing problem at multiple intersections under the framework of Autonomous Intersection Management (AIM). In the context of AIM, there is no more traffic signals. Autonomous vehicles are considered as independent individuals and the traffic control aims at deciding an efficient vehicle passing sequence. Since there are considerable vehicle passing combinations, how to find an efficient vehicle passing sequence in a short time becomes a big challenge. In this paper, we present a genetic algorithm based on these basic groups is designed to find an optimal or near-optimal vehicle passing sequence. Computational experiments and simulation results show that the traffic condition can be dramatically improved by applying our algorithm.
{"title":"Autonomous vehicle sequencing problem for a multi-intersection network: A genetic algorithm approach","authors":"Fei Yan, M. Dridi, A. El Moudni","doi":"10.1109/ICADLT.2013.6568462","DOIUrl":"https://doi.org/10.1109/ICADLT.2013.6568462","url":null,"abstract":"This paper addresses a vehicle sequencing problem at multiple intersections under the framework of Autonomous Intersection Management (AIM). In the context of AIM, there is no more traffic signals. Autonomous vehicles are considered as independent individuals and the traffic control aims at deciding an efficient vehicle passing sequence. Since there are considerable vehicle passing combinations, how to find an efficient vehicle passing sequence in a short time becomes a big challenge. In this paper, we present a genetic algorithm based on these basic groups is designed to find an optimal or near-optimal vehicle passing sequence. Computational experiments and simulation results show that the traffic condition can be dramatically improved by applying our algorithm.","PeriodicalId":269509,"journal":{"name":"2013 International Conference on Advanced Logistics and Transport","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122328829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-29DOI: 10.1109/ICADLT.2013.6568518
Boutheina Fhoula, A. Hajji, Monia Rekik
This paper addresses the problem of transportation procurement process in a stochastic context and proposes a resolution approach aiming to obtain an optimal policy over a finite planning horizon. Based on a conceptual framework which integrates both strategic and operational decision making levels, this paper addresses the problem from an operational point of view while integrating the transportation decisions already taken at the strategic level. Strategic decisions provide a set of core carriers selected using a combinatorial auction mechanism in which carriers compete by submitting package bids on shipper s' requests. Operational decisions involve a set of core and spot carriers competing to procure transportation services and ship loads from a set of warehouses to a set of distribution centres over a finite planning horizon. The problem is modelled as a Stochastic Linear Multistage Program and the Stochastic Dual Dynamic Programming SDDP is adapted to solve it. To illustrate the practical usefulness and the behaviour of the obtained results, experimentations and sensitivity analyses are carried out.
{"title":"Stochastic dual dynamic programming for transportation planning under demand uncertainty","authors":"Boutheina Fhoula, A. Hajji, Monia Rekik","doi":"10.1109/ICADLT.2013.6568518","DOIUrl":"https://doi.org/10.1109/ICADLT.2013.6568518","url":null,"abstract":"This paper addresses the problem of transportation procurement process in a stochastic context and proposes a resolution approach aiming to obtain an optimal policy over a finite planning horizon. Based on a conceptual framework which integrates both strategic and operational decision making levels, this paper addresses the problem from an operational point of view while integrating the transportation decisions already taken at the strategic level. Strategic decisions provide a set of core carriers selected using a combinatorial auction mechanism in which carriers compete by submitting package bids on shipper s' requests. Operational decisions involve a set of core and spot carriers competing to procure transportation services and ship loads from a set of warehouses to a set of distribution centres over a finite planning horizon. The problem is modelled as a Stochastic Linear Multistage Program and the Stochastic Dual Dynamic Programming SDDP is adapted to solve it. To illustrate the practical usefulness and the behaviour of the obtained results, experimentations and sensitivity analyses are carried out.","PeriodicalId":269509,"journal":{"name":"2013 International Conference on Advanced Logistics and Transport","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125378941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-29DOI: 10.1007/978-3-642-34300-1_29
Hamdi Dkhil, A. Yassine, H. Chabchoub
{"title":"Optimization of container handling systems in automated maritime terminals: A hybrid genetic and a tabu search algorithms","authors":"Hamdi Dkhil, A. Yassine, H. Chabchoub","doi":"10.1007/978-3-642-34300-1_29","DOIUrl":"https://doi.org/10.1007/978-3-642-34300-1_29","url":null,"abstract":"","PeriodicalId":269509,"journal":{"name":"2013 International Conference on Advanced Logistics and Transport","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128430459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-29DOI: 10.1109/ICADLT.2013.6568481
E. Benaissa, B. Tahiri, A. BenAbdelhafid
Information and logistics are two main problems in Tourism Supply Chain. Tourism Supply chain cooperation has become a critical success factor. Cooperation refers to the integration of different parts of an organization or different organizations in supply chain to accomplish a collective set of tasks and to achieve mutual benefits. Several researches focus on applying artificial intelligence to solving the problem. Semantic web services and Multi- Agent are two technologies with great potential. However, semantic web services need for an upper software entity able to deal with them and, on the other hand agent technology has historically suffered from a number of drawbacks that must be addressed. Integrating these two technologies in a joint environment can overcome their problems while strengthening their advantages. In this paper, the necessity for integrating these technologies and the potential benefits of their combination are analyzed. Based in this study we present our intelligent framework, provided a support of collaborative decision making in the context of Tourism Supply Chain.
{"title":"Applying multi-agent technique in cooperation: Case of tourism supply chain","authors":"E. Benaissa, B. Tahiri, A. BenAbdelhafid","doi":"10.1109/ICADLT.2013.6568481","DOIUrl":"https://doi.org/10.1109/ICADLT.2013.6568481","url":null,"abstract":"Information and logistics are two main problems in Tourism Supply Chain. Tourism Supply chain cooperation has become a critical success factor. Cooperation refers to the integration of different parts of an organization or different organizations in supply chain to accomplish a collective set of tasks and to achieve mutual benefits. Several researches focus on applying artificial intelligence to solving the problem. Semantic web services and Multi- Agent are two technologies with great potential. However, semantic web services need for an upper software entity able to deal with them and, on the other hand agent technology has historically suffered from a number of drawbacks that must be addressed. Integrating these two technologies in a joint environment can overcome their problems while strengthening their advantages. In this paper, the necessity for integrating these technologies and the potential benefits of their combination are analyzed. Based in this study we present our intelligent framework, provided a support of collaborative decision making in the context of Tourism Supply Chain.","PeriodicalId":269509,"journal":{"name":"2013 International Conference on Advanced Logistics and Transport","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129238327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-29DOI: 10.1109/ICADLT.2013.6568493
Jean-Yves Colin, A. S. O. Cheikh, Moustafa Nakechbandi
In this paper, we study weakly dynamic undirected graphs, and we propose an efficient polynomial algorithm that computes in advance alternative shortest paths for all possible configurations. No additional computation is then needed after any change in the problem because shortest paths are already known in all cases. We use these results to compute critical values for the traversal duration and to pre-compute best paths, and we apply this result to one delivery problem for trucks from one regional storehouse to several local stores when one possible point has a variable traversal duration.
{"title":"Route planning in a weakly dynamic undirected graph","authors":"Jean-Yves Colin, A. S. O. Cheikh, Moustafa Nakechbandi","doi":"10.1109/ICADLT.2013.6568493","DOIUrl":"https://doi.org/10.1109/ICADLT.2013.6568493","url":null,"abstract":"In this paper, we study weakly dynamic undirected graphs, and we propose an efficient polynomial algorithm that computes in advance alternative shortest paths for all possible configurations. No additional computation is then needed after any change in the problem because shortest paths are already known in all cases. We use these results to compute critical values for the traversal duration and to pre-compute best paths, and we apply this result to one delivery problem for trucks from one regional storehouse to several local stores when one possible point has a variable traversal duration.","PeriodicalId":269509,"journal":{"name":"2013 International Conference on Advanced Logistics and Transport","volume":"341 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113958493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-29DOI: 10.1109/ICADLT.2013.6568466
M. Di Francesco, M. Lai, P. Zuddas
This paper investigates the maritime repositioning of empty containers under uncertain demand. In order to consider data uncertainty, the problem is addressed by a stochastic programming approach, in which different scenarios are included in a multi-scenario optimization model and linked by non-anticipativity conditions. Numerical experiments show the benefits of multi-scenario solutions with respect to deterministic approaches, which consider only a single point forecast for each uncertain parameter.
{"title":"A multi-scenario model for empty container repositioning under uncertain demand","authors":"M. Di Francesco, M. Lai, P. Zuddas","doi":"10.1109/ICADLT.2013.6568466","DOIUrl":"https://doi.org/10.1109/ICADLT.2013.6568466","url":null,"abstract":"This paper investigates the maritime repositioning of empty containers under uncertain demand. In order to consider data uncertainty, the problem is addressed by a stochastic programming approach, in which different scenarios are included in a multi-scenario optimization model and linked by non-anticipativity conditions. Numerical experiments show the benefits of multi-scenario solutions with respect to deterministic approaches, which consider only a single point forecast for each uncertain parameter.","PeriodicalId":269509,"journal":{"name":"2013 International Conference on Advanced Logistics and Transport","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114465368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-29DOI: 10.1109/ICADLT.2013.6568447
Sourour Trab, A. Zouinkhi, B. Boussaid, M. Abdelkrim
Wireless Sensor Networks (WSN) are employed in several applications, including military, medical, environmental and household applications. Among the most important problems in WSN are their vulnerability to faults and high energy consumption. Both of these problems require the implementation of fault distributed detection methods, capable of distinguishing faulty nodes from normal nodes while taking into account energy problems. Several approaches of distributed fault detection are proposed; for example, we include the Bayesian approach, which ensures a study oscillating between Theory of Signal Detection (TSD), fault tolerance and energy optimization by determining optimal parameters of the detection. It is in this context that our paper is inscribed, where we try to apply this approach in the industrial security's field. The Bayesian approach ensures a pre study of WSN's deployment in the dangerous chemical products stores and guarantees a best performing fault detection. The experimental simulations will testify that the proposed algorithm is able to provide a good detection performance while optimizing energy in WSN.
{"title":"Application of distributed fault detection in WSN to dangerous chemical products based on Bayesian approach","authors":"Sourour Trab, A. Zouinkhi, B. Boussaid, M. Abdelkrim","doi":"10.1109/ICADLT.2013.6568447","DOIUrl":"https://doi.org/10.1109/ICADLT.2013.6568447","url":null,"abstract":"Wireless Sensor Networks (WSN) are employed in several applications, including military, medical, environmental and household applications. Among the most important problems in WSN are their vulnerability to faults and high energy consumption. Both of these problems require the implementation of fault distributed detection methods, capable of distinguishing faulty nodes from normal nodes while taking into account energy problems. Several approaches of distributed fault detection are proposed; for example, we include the Bayesian approach, which ensures a study oscillating between Theory of Signal Detection (TSD), fault tolerance and energy optimization by determining optimal parameters of the detection. It is in this context that our paper is inscribed, where we try to apply this approach in the industrial security's field. The Bayesian approach ensures a pre study of WSN's deployment in the dangerous chemical products stores and guarantees a best performing fault detection. The experimental simulations will testify that the proposed algorithm is able to provide a good detection performance while optimizing energy in WSN.","PeriodicalId":269509,"journal":{"name":"2013 International Conference on Advanced Logistics and Transport","volume":"87 27 Pt 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126303722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-29DOI: 10.1109/ICADLT.2013.6568460
Brahim Issaoui, I. Zidi, K. Zidi, K. Ghédira
The paper describes a multi-objective mathematical model for the Dial a Ride Problem (DRP) and an application of Multi-Objective Simulated Annealing (MOSA) to solve it. DRP is to take over the passenger from a place of departure to a place of arrival. In the DRP, passengers send transportation requests to an operator. The ultimate aim is to offer an alternative to displacement optimized individually and collectively. The DRP is classified as NP-hard problem that's why most research has been concentrated on the use of approximate methods to solve it. Indeed the DRP is a multi-criteria problem, the proposed solution which aims to reduce both route duration in response to a certain quality of service provided. Actually, during the system of transport on demand (TOD) there are many problems can inhibit the proper functioning of the system, such as failure of the car and bottling etc. We propose a resolution of the dynamic DRP using a service of TOD called TOD with Simulated Annealing (TOD-SA). The solution proposed in this paper enables both a reduction of travel time also the distance traveled.
{"title":"A distributed approach for the resolution of a stochastic dial a Ride Problem","authors":"Brahim Issaoui, I. Zidi, K. Zidi, K. Ghédira","doi":"10.1109/ICADLT.2013.6568460","DOIUrl":"https://doi.org/10.1109/ICADLT.2013.6568460","url":null,"abstract":"The paper describes a multi-objective mathematical model for the Dial a Ride Problem (DRP) and an application of Multi-Objective Simulated Annealing (MOSA) to solve it. DRP is to take over the passenger from a place of departure to a place of arrival. In the DRP, passengers send transportation requests to an operator. The ultimate aim is to offer an alternative to displacement optimized individually and collectively. The DRP is classified as NP-hard problem that's why most research has been concentrated on the use of approximate methods to solve it. Indeed the DRP is a multi-criteria problem, the proposed solution which aims to reduce both route duration in response to a certain quality of service provided. Actually, during the system of transport on demand (TOD) there are many problems can inhibit the proper functioning of the system, such as failure of the car and bottling etc. We propose a resolution of the dynamic DRP using a service of TOD called TOD with Simulated Annealing (TOD-SA). The solution proposed in this paper enables both a reduction of travel time also the distance traveled.","PeriodicalId":269509,"journal":{"name":"2013 International Conference on Advanced Logistics and Transport","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126988884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-29DOI: 10.1109/ICADLT.2013.6568491
Manel Elmsalmi, Wafik Hachicha
Modern supply chains are very complex and suffer always from various risks. An effective supply chain management requires suitable strategies to mitigate them. In literature, there has been a range of research into risk in purchasing and supply, but little in global and integrated supply networks. This can be explained due to the huge number of risk variables and their direct and indirect interrelations that may suffer all supply chain partners. Therefore, for better risk management process, the risk prioritization step is vital. The purpose of this paper is to apply a structural modeling technique for risk analysis and prioritization through a real case study of Masmoudi pastry supply network. Firstly, thirty risk variables have been identified through literature survey, interaction with industry experts, and various interviews with the supply key managers. Secondly, MICMAC method is applied to recognize both direct and indirect relationships between these thirty risk variables, and to ascertain the most prioritized risk variables. This prioritization provides a useful tool to Masmoudi pastry managers to differentiate between independent and dependent risk variables and their mutual relationships which would help them to focus on those key variables that are most important for an effective risk mitigation management.
{"title":"Risks prioritization in global supply networks using MICMAC method: A real case study","authors":"Manel Elmsalmi, Wafik Hachicha","doi":"10.1109/ICADLT.2013.6568491","DOIUrl":"https://doi.org/10.1109/ICADLT.2013.6568491","url":null,"abstract":"Modern supply chains are very complex and suffer always from various risks. An effective supply chain management requires suitable strategies to mitigate them. In literature, there has been a range of research into risk in purchasing and supply, but little in global and integrated supply networks. This can be explained due to the huge number of risk variables and their direct and indirect interrelations that may suffer all supply chain partners. Therefore, for better risk management process, the risk prioritization step is vital. The purpose of this paper is to apply a structural modeling technique for risk analysis and prioritization through a real case study of Masmoudi pastry supply network. Firstly, thirty risk variables have been identified through literature survey, interaction with industry experts, and various interviews with the supply key managers. Secondly, MICMAC method is applied to recognize both direct and indirect relationships between these thirty risk variables, and to ascertain the most prioritized risk variables. This prioritization provides a useful tool to Masmoudi pastry managers to differentiate between independent and dependent risk variables and their mutual relationships which would help them to focus on those key variables that are most important for an effective risk mitigation management.","PeriodicalId":269509,"journal":{"name":"2013 International Conference on Advanced Logistics and Transport","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121246803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-29DOI: 10.1109/ICADLT.2013.6568473
R. Mraihi, Romdhani Anis
The present article has for objective to study the relation between the distribution of transport infrastructures and the question of the social equity. The paper shows the impacts of transport infrastructures on the interregional migrations of the individuals in Tunisia by the application of model of gravity, and demonstrates that the attractiveness of a region is dependent on its accessibility and on the level of its endowment in transport infrastructures.
{"title":"Impact of transport infrastructure on regional mobility: Application of social equity approach","authors":"R. Mraihi, Romdhani Anis","doi":"10.1109/ICADLT.2013.6568473","DOIUrl":"https://doi.org/10.1109/ICADLT.2013.6568473","url":null,"abstract":"The present article has for objective to study the relation between the distribution of transport infrastructures and the question of the social equity. The paper shows the impacts of transport infrastructures on the interregional migrations of the individuals in Tunisia by the application of model of gravity, and demonstrates that the attractiveness of a region is dependent on its accessibility and on the level of its endowment in transport infrastructures.","PeriodicalId":269509,"journal":{"name":"2013 International Conference on Advanced Logistics and Transport","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117279215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：