Pub Date : 2011-07-05DOI: 10.1109/LOGISTIQUA.2011.5939409
Zerouali Ouariti Amal, Bendou Abdelaziz
Health care centers are subject to nosocomial infections which constitute a potential danger to patients' lives, namely in intensive care. Therefore, the sterilization of surgical instruments should be seriously considered as it plays a major role in the quality of the care provided to patients. For a proper sanitation to take place, it is essential to implement a quality system based on reference standards relative to the norms and requirements of quality, requiring human, material and financial resources. It is in this context that our paper contributes to highlight the stakes and constraints of the sterilization unit in Hassan II Hospital by reviewing and providing a modest field analysis of the situation there.
{"title":"Sterilization, good service key to patient support analysis and issues","authors":"Zerouali Ouariti Amal, Bendou Abdelaziz","doi":"10.1109/LOGISTIQUA.2011.5939409","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2011.5939409","url":null,"abstract":"Health care centers are subject to nosocomial infections which constitute a potential danger to patients' lives, namely in intensive care. Therefore, the sterilization of surgical instruments should be seriously considered as it plays a major role in the quality of the care provided to patients. For a proper sanitation to take place, it is essential to implement a quality system based on reference standards relative to the norms and requirements of quality, requiring human, material and financial resources. It is in this context that our paper contributes to highlight the stakes and constraints of the sterilization unit in Hassan II Hospital by reviewing and providing a modest field analysis of the situation there.","PeriodicalId":324478,"journal":{"name":"2011 4th International Conference on Logistics","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115834206","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 : 2011-07-05DOI: 10.1109/LOGISTIQUA.2011.5939398
M. Mnif, Youssef Masmoudi, H. Chabchoub
Scheduling and human resources management have an important role in the productivity and competitiveness of a company. Timetabling is an essential task in such filed to compete in many sectors. The conventional method which is traditionally done manually for solving timetabling problem is often inaccurate. This paper move toward automated software to solve the timetabling problem for the SORETRAS Company, which is a public transport company in Sfax city, TUNISIA, to affect all their travel services into groups, called also classes. Each group represents the daily work for a driver. A graph coloring approach is presented. Then, a heuristic based this approach is applied to solve the problem. This approach replaces the intuitive procedure currently used by the SORETRAS decision makers. This procedure consists in solving manually this relevant problem. Hence, with the proposed procedure, the obtained groups were greatly improved in quality of service compared to the current practice.
{"title":"A multi-level graph coloring approach for the Bus driver's timetables: A real case study of the public transport of Sfax","authors":"M. Mnif, Youssef Masmoudi, H. Chabchoub","doi":"10.1109/LOGISTIQUA.2011.5939398","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2011.5939398","url":null,"abstract":"Scheduling and human resources management have an important role in the productivity and competitiveness of a company. Timetabling is an essential task in such filed to compete in many sectors. The conventional method which is traditionally done manually for solving timetabling problem is often inaccurate. This paper move toward automated software to solve the timetabling problem for the SORETRAS Company, which is a public transport company in Sfax city, TUNISIA, to affect all their travel services into groups, called also classes. Each group represents the daily work for a driver. A graph coloring approach is presented. Then, a heuristic based this approach is applied to solve the problem. This approach replaces the intuitive procedure currently used by the SORETRAS decision makers. This procedure consists in solving manually this relevant problem. Hence, with the proposed procedure, the obtained groups were greatly improved in quality of service compared to the current practice.","PeriodicalId":324478,"journal":{"name":"2011 4th International Conference on Logistics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131662154","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 : 2011-07-05DOI: 10.1109/LOGISTIQUA.2011.5939296
I. Farah, Ali Kansou, A. Yassine, T. Galinho
We address the problem of determining the arrival sequencing and scheduling for aircrafts in air traffic control system. The overall objective of this problem is the minimization of delay cost. The problem is NP-hard for this reason solving the problem optimally is limited to instances of small sizes. In this paper we treat the static case of ASS problem where all data are known in advance. We begin by proposed a mathematical quadratic integer model, with the constraint of limited time window. After we propose a change of variable in order to make linear the initial quadratic constraints. The second target of this work is to resolve the model by an ant colony algorithm. Numerical simulations are applied to real data to show the effectiveness of our new formulation and our approach. They are presented at the end of this article.
{"title":"Ant Colony Optimization for aircraft landings","authors":"I. Farah, Ali Kansou, A. Yassine, T. Galinho","doi":"10.1109/LOGISTIQUA.2011.5939296","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2011.5939296","url":null,"abstract":"We address the problem of determining the arrival sequencing and scheduling for aircrafts in air traffic control system. The overall objective of this problem is the minimization of delay cost. The problem is NP-hard for this reason solving the problem optimally is limited to instances of small sizes. In this paper we treat the static case of ASS problem where all data are known in advance. We begin by proposed a mathematical quadratic integer model, with the constraint of limited time window. After we propose a change of variable in order to make linear the initial quadratic constraints. The second target of this work is to resolve the model by an ant colony algorithm. Numerical simulations are applied to real data to show the effectiveness of our new formulation and our approach. They are presented at the end of this article.","PeriodicalId":324478,"journal":{"name":"2011 4th International Conference on Logistics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121512381","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 : 2011-07-05DOI: 10.1109/LOGISTIQUA.2011.5939401
I. Farah, Ali Kansou, A. Yassine, T. Galinho
In this work, the first target is to model and effectively resolve the Arrival Sequencing and Scheduling problem (ASS). The problem is NP-hard and exists in the Air Traffic Control (ATC) for a long time. It has been the hottest topic in transportation research due to the constantly increasing aviation traffic volume around the world. This paper attempts to design a mathematical integer linear model, with the constraints of limited time windows. We begin by modeling the (ASS) problem by a quadratic integer program and propose a change of variables to linearize the problem, i.e. transforming the quadratic constraints to linear constraints. The second target is to resolve the model by an exact method based on the algorithm of branch and bound. Numerical simulations are applied to real data to show the effectiveness of our new formulation and our approach. They are presented at the end of this article.
{"title":"New modelling and exact method for aircraft Arrival Sequencing and Scheduling","authors":"I. Farah, Ali Kansou, A. Yassine, T. Galinho","doi":"10.1109/LOGISTIQUA.2011.5939401","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2011.5939401","url":null,"abstract":"In this work, the first target is to model and effectively resolve the Arrival Sequencing and Scheduling problem (ASS). The problem is NP-hard and exists in the Air Traffic Control (ATC) for a long time. It has been the hottest topic in transportation research due to the constantly increasing aviation traffic volume around the world. This paper attempts to design a mathematical integer linear model, with the constraints of limited time windows. We begin by modeling the (ASS) problem by a quadratic integer program and propose a change of variables to linearize the problem, i.e. transforming the quadratic constraints to linear constraints. The second target is to resolve the model by an exact method based on the algorithm of branch and bound. Numerical simulations are applied to real data to show the effectiveness of our new formulation and our approach. They are presented at the end of this article.","PeriodicalId":324478,"journal":{"name":"2011 4th International Conference on Logistics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115439357","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 : 2011-07-05DOI: 10.1109/LOGISTIQUA.2011.5939418
Olfa Beltaief, Sameh El Hadouaj, K. Ghédira
The simulation of pedestrian crowd that reflects reality is a major challenge for scientists and research. Several simulation pedestrian crowd models have been proposed such as cellular automata models, agent-based models, regression models, etc. It is very important to note that agent based models are able, over others approaches to provide a natural description of the system and then to capture emergent phenomena and complex human behaviors. Usually, these models include psychological theories in order to obtain a more realistic simulation of pedestrian's behavior. However, a great number of them do not cover all the psychological factors necessary for a pedestrian located in a crowd. This causes a lack of realism. Thus, we propose a multi-agent simulation model which is based on psychological theories. It takes into account the major normal conditions of a simple pedestrian situated in a crowd such as his preferences, a realistic perception of the environment in which he is situated, etc. Our objective is to simulate realistically the pedestrian crowd phenomenon towards a simulation of a believable pedestrian behavior. The conducted experiments show that our model is able to produce realistic pedestrian behaviors.
{"title":"Multi-agent simulation model of pedestrians crowd based on psychological theories","authors":"Olfa Beltaief, Sameh El Hadouaj, K. Ghédira","doi":"10.1109/LOGISTIQUA.2011.5939418","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2011.5939418","url":null,"abstract":"The simulation of pedestrian crowd that reflects reality is a major challenge for scientists and research. Several simulation pedestrian crowd models have been proposed such as cellular automata models, agent-based models, regression models, etc. It is very important to note that agent based models are able, over others approaches to provide a natural description of the system and then to capture emergent phenomena and complex human behaviors. Usually, these models include psychological theories in order to obtain a more realistic simulation of pedestrian's behavior. However, a great number of them do not cover all the psychological factors necessary for a pedestrian located in a crowd. This causes a lack of realism. Thus, we propose a multi-agent simulation model which is based on psychological theories. It takes into account the major normal conditions of a simple pedestrian situated in a crowd such as his preferences, a realistic perception of the environment in which he is situated, etc. Our objective is to simulate realistically the pedestrian crowd phenomenon towards a simulation of a believable pedestrian behavior. The conducted experiments show that our model is able to produce realistic pedestrian behaviors.","PeriodicalId":324478,"journal":{"name":"2011 4th International Conference on Logistics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130280967","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 : 2011-07-05DOI: 10.1109/LOGISTIQUA.2011.5939445
S. Boubaker, F. Rehimi, A. Kalboussi
Traffic tools simulations are based on different models whose purpose is to describe the behavior and dynamics of traffic flow on network. There are three modelling approaches which describe the road traffic flow: macroscopic, mesoscopic and microscopic. The microscopic models are used to describe the interactions between vehicles and their environment. They model the individual behaviour of each vehicle considering, in particular, interactions between two successive vehicles. Microscopic models aim to reproduce the behaviour of each pair vehicle-driver. In this paper, two car following models have been implemented: linear model [1] [2] and intelligent driver model (IDM) [3]. However, their shortcomings emanate from the difficulty to appreciate the consistency of behaviour of all traffic flow. Emphasizing on microscopic simulation, this paper is a comparative analysis of these microscopic models by identification of properties and limitations of each model. In order to describe road traffic at a granular level, the present study focuses on the kinematic variables. The variables used are essentially: spacing headway, relative speed, position, velocity and acceleration. They are designed for each vehicle and are closely related to its dynamics. In fact, microscopic models should be able to reproduce a real traffic situation, that's why an efficient calibration on real data is necessary to clarify the relevance of results. Therefore, the calibration of these microscopic models would be on real data.
{"title":"Comparative analysis of microscopic models of road traffic data","authors":"S. Boubaker, F. Rehimi, A. Kalboussi","doi":"10.1109/LOGISTIQUA.2011.5939445","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2011.5939445","url":null,"abstract":"Traffic tools simulations are based on different models whose purpose is to describe the behavior and dynamics of traffic flow on network. There are three modelling approaches which describe the road traffic flow: macroscopic, mesoscopic and microscopic. The microscopic models are used to describe the interactions between vehicles and their environment. They model the individual behaviour of each vehicle considering, in particular, interactions between two successive vehicles. Microscopic models aim to reproduce the behaviour of each pair vehicle-driver. In this paper, two car following models have been implemented: linear model [1] [2] and intelligent driver model (IDM) [3]. However, their shortcomings emanate from the difficulty to appreciate the consistency of behaviour of all traffic flow. Emphasizing on microscopic simulation, this paper is a comparative analysis of these microscopic models by identification of properties and limitations of each model. In order to describe road traffic at a granular level, the present study focuses on the kinematic variables. The variables used are essentially: spacing headway, relative speed, position, velocity and acceleration. They are designed for each vehicle and are closely related to its dynamics. In fact, microscopic models should be able to reproduce a real traffic situation, that's why an efficient calibration on real data is necessary to clarify the relevance of results. Therefore, the calibration of these microscopic models would be on real data.","PeriodicalId":324478,"journal":{"name":"2011 4th International Conference on Logistics","volume":"52 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120916624","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 : 2011-07-05DOI: 10.1109/LOGISTIQUA.2011.5939435
Ridha Derrouiche, Pongsak Holimchayachotikul, K. Leksakul
This paper proposes an integrated framework between B2B supply chains (B2B-SC) and performance evaluation systems. This framework is based on data mining techniques, enabling the development of a predictive collaborative performance evolution model and decision making which has forward-looking collaborative capabilities. The results are deployment for collaborative performance guidelines, which were validated by the domain experts in terms of its real practical usage efficiency. This framework enables managers to develop systematic manners to predict future collaborative performance and recognize latent problems in their relationship. Its usages and difficulties were also discussed. Furthermore, the final predictive results and rules contain vital information relating to SC improvement in the long term.
{"title":"Predictive performance model in collaborative supply chain using decision tree and clustering technique","authors":"Ridha Derrouiche, Pongsak Holimchayachotikul, K. Leksakul","doi":"10.1109/LOGISTIQUA.2011.5939435","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2011.5939435","url":null,"abstract":"This paper proposes an integrated framework between B2B supply chains (B2B-SC) and performance evaluation systems. This framework is based on data mining techniques, enabling the development of a predictive collaborative performance evolution model and decision making which has forward-looking collaborative capabilities. The results are deployment for collaborative performance guidelines, which were validated by the domain experts in terms of its real practical usage efficiency. This framework enables managers to develop systematic manners to predict future collaborative performance and recognize latent problems in their relationship. Its usages and difficulties were also discussed. Furthermore, the final predictive results and rules contain vital information relating to SC improvement in the long term.","PeriodicalId":324478,"journal":{"name":"2011 4th International Conference on Logistics","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122715336","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 : 2011-07-05DOI: 10.1109/LOGISTIQUA.2011.5939412
F. Boudahri, Z. Sari, M. Bennekrouf
The supply chain of agricultural products has received a great deal of attention lately due to issues related to public health. Something that has become apparent is that in the near future the design and operation of agricultural supply chains will be subject to more stringent regulations and closer monitoring, in particular those for products destined for human consumption (agri-foods). The supply chain of agri-foods, as any other supply chain, is a network of organizations working together in different processes and activities in order to bring products and services to the market, with the purpose of satisfying customers' demands. This work is a study for renovating the distribution network of multi poultry product from slaughterhouses to the retailer in the city of Tlemcen (Algeria). For this concrete case we chose two products namely chicken and turkey-cock meat. The objective of our problem is to determine the centroid of customer clusters (set of retailers), and the location/allocation of slaughterhouses in such a way that total logistics costs (location and transportation costs) are minimized, in such a way that capacity of vehicles and slaughterhouses are respected. As mentioned in our paper, the entire problem is decomposed into two sub problems, and each sub problem is solved in sequential manner, to get the final solution. LINGO optimization solver (Version12) has been used to get the solution to the problem.
{"title":"Renovation of a distribution network of poultry products: Application city of Tlemcen (ALGERIA)","authors":"F. Boudahri, Z. Sari, M. Bennekrouf","doi":"10.1109/LOGISTIQUA.2011.5939412","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2011.5939412","url":null,"abstract":"The supply chain of agricultural products has received a great deal of attention lately due to issues related to public health. Something that has become apparent is that in the near future the design and operation of agricultural supply chains will be subject to more stringent regulations and closer monitoring, in particular those for products destined for human consumption (agri-foods). The supply chain of agri-foods, as any other supply chain, is a network of organizations working together in different processes and activities in order to bring products and services to the market, with the purpose of satisfying customers' demands. This work is a study for renovating the distribution network of multi poultry product from slaughterhouses to the retailer in the city of Tlemcen (Algeria). For this concrete case we chose two products namely chicken and turkey-cock meat. The objective of our problem is to determine the centroid of customer clusters (set of retailers), and the location/allocation of slaughterhouses in such a way that total logistics costs (location and transportation costs) are minimized, in such a way that capacity of vehicles and slaughterhouses are respected. As mentioned in our paper, the entire problem is decomposed into two sub problems, and each sub problem is solved in sequential manner, to get the final solution. LINGO optimization solver (Version12) has been used to get the solution to the problem.","PeriodicalId":324478,"journal":{"name":"2011 4th International Conference on Logistics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130354859","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 : 2011-07-05DOI: 10.1109/LOGISTIQUA.2011.5939313
A. Hajji, A. Gharbi, A. Artiba
This paper considers a stochastic optimal control problem of unreliable three stages manufacturing systems. The supplier and the transformation stage are both subject to random events. Moreover, due to the periods of unavailability of the supplier, a random delay could postpone the reception of the order. Our objective is to find a control policy for the supply and production activities that minimizes the incurred cost and to propose a practical approach aiming to evaluate and quantify the control policy. Stochastic dynamic programming and numerical methods combined to a simulation based approach are thus proposed to achieve a close approximation of the production and supply policy. To illustrate the usefulness of the combined approach extensions to cover more complex systems, were optimal control theory may not be easily used, are developed and analyzed. To illustrate the practical usefulness of the approach, an application aiming to develop a quantitative tool to help establishing and negotiating order costs is presented.
{"title":"Impact of random delay on Replenishment and production control strategies","authors":"A. Hajji, A. Gharbi, A. Artiba","doi":"10.1109/LOGISTIQUA.2011.5939313","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2011.5939313","url":null,"abstract":"This paper considers a stochastic optimal control problem of unreliable three stages manufacturing systems. The supplier and the transformation stage are both subject to random events. Moreover, due to the periods of unavailability of the supplier, a random delay could postpone the reception of the order. Our objective is to find a control policy for the supply and production activities that minimizes the incurred cost and to propose a practical approach aiming to evaluate and quantify the control policy. Stochastic dynamic programming and numerical methods combined to a simulation based approach are thus proposed to achieve a close approximation of the production and supply policy. To illustrate the usefulness of the combined approach extensions to cover more complex systems, were optimal control theory may not be easily used, are developed and analyzed. To illustrate the practical usefulness of the approach, an application aiming to develop a quantitative tool to help establishing and negotiating order costs is presented.","PeriodicalId":324478,"journal":{"name":"2011 4th International Conference on Logistics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131545541","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}
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