Pub Date : 2014-05-01DOI: 10.1109/ICAdLT.2014.6866334
Faiza Walha, S. Chaabane, A. Bekrar, T. Loukil
Cross docking is defined as a consolidation process which integrates intermediate nodes into a transportation network where the goal is to reduce the inventory holding and the service time. This paper presents a review of the existing literature about the cross-docking under uncertainty. The discussed researches are classified based on the type of uncertainty (external and internal uncertainty). The cross docking hub in the platform of the physical internet is presented.
{"title":"The cross docking under uncertainty: State of the art","authors":"Faiza Walha, S. Chaabane, A. Bekrar, T. Loukil","doi":"10.1109/ICAdLT.2014.6866334","DOIUrl":"https://doi.org/10.1109/ICAdLT.2014.6866334","url":null,"abstract":"Cross docking is defined as a consolidation process which integrates intermediate nodes into a transportation network where the goal is to reduce the inventory holding and the service time. This paper presents a review of the existing literature about the cross-docking under uncertainty. The discussed researches are classified based on the type of uncertainty (external and internal uncertainty). The cross docking hub in the platform of the physical internet is presented.","PeriodicalId":166090,"journal":{"name":"2014 International Conference on Advanced Logistics and Transport (ICALT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131572344","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 : 2014-05-01DOI: 10.1109/ICAdLT.2014.6866340
Faiza Hamdi, Ahmed Ghorbel, F. Masmoudi
Supplier selection is an important key of supply chain management and mainly with the presence of disruption risks. Given a set of customer orders for products, the decision maker needs to decide from which supplier to purchase custom parts required for each customer order to minimize total cost and mitigate the impact of disruption risks. Many approaches have been developed in the literature based on various formal modeling techniques. In this paper, Stochastic Mixed Linear Program (MILP) techniques are used for the selection of suppliers under risk disruption. Two set of disruption scenarios are considered: (1) scenario with independent local disruption of each supplier, and (2) scenario with local and global disruption that may result in all suppliers simultaneously. The two percentiles: Value at risk (VaR) and conditional value at risk (CVaR) are used to model the risk of supply chain disruption. It be concluded that these percentiles are capable to optimizing the supply portfolio by minimizing expects worst-case per part via calculating the value at risk of expected cost part. The extension of this study seems very interesting for the risk analysis in complex supply chains.
{"title":"Supplier selection under disruption risks using Stochastic Mixed Linear Programming techniques","authors":"Faiza Hamdi, Ahmed Ghorbel, F. Masmoudi","doi":"10.1109/ICAdLT.2014.6866340","DOIUrl":"https://doi.org/10.1109/ICAdLT.2014.6866340","url":null,"abstract":"Supplier selection is an important key of supply chain management and mainly with the presence of disruption risks. Given a set of customer orders for products, the decision maker needs to decide from which supplier to purchase custom parts required for each customer order to minimize total cost and mitigate the impact of disruption risks. Many approaches have been developed in the literature based on various formal modeling techniques. In this paper, Stochastic Mixed Linear Program (MILP) techniques are used for the selection of suppliers under risk disruption. Two set of disruption scenarios are considered: (1) scenario with independent local disruption of each supplier, and (2) scenario with local and global disruption that may result in all suppliers simultaneously. The two percentiles: Value at risk (VaR) and conditional value at risk (CVaR) are used to model the risk of supply chain disruption. It be concluded that these percentiles are capable to optimizing the supply portfolio by minimizing expects worst-case per part via calculating the value at risk of expected cost part. The extension of this study seems very interesting for the risk analysis in complex supply chains.","PeriodicalId":166090,"journal":{"name":"2014 International Conference on Advanced Logistics and Transport (ICALT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121856991","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 : 2014-05-01DOI: 10.1109/ICAdLT.2014.6864116
Besma Glaa, N. Zoghlami, A. Taghipour
Cutting the costs of healthcare services and improving the quality of care are the major goals of every healthcare system around the world. With the acceleration of globalization, healthcare services were not immune from these forces and were impacted by the explosion of healthcare outsourcing and off-shoring. In this paper, we will try to explore outsourcing and off-shoring healthcare services as a way of cutting costs and improving quality of care and we will analyze the cost effectiveness of healthcare intervention and compare its values between home country and outsourcing countries.
{"title":"Outsourcing and off-shoring healthcare services: A way to cut the costs and improve quality","authors":"Besma Glaa, N. Zoghlami, A. Taghipour","doi":"10.1109/ICAdLT.2014.6864116","DOIUrl":"https://doi.org/10.1109/ICAdLT.2014.6864116","url":null,"abstract":"Cutting the costs of healthcare services and improving the quality of care are the major goals of every healthcare system around the world. With the acceleration of globalization, healthcare services were not immune from these forces and were impacted by the explosion of healthcare outsourcing and off-shoring. In this paper, we will try to explore outsourcing and off-shoring healthcare services as a way of cutting costs and improving quality of care and we will analyze the cost effectiveness of healthcare intervention and compare its values between home country and outsourcing countries.","PeriodicalId":166090,"journal":{"name":"2014 International Conference on Advanced Logistics and Transport (ICALT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114515091","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 : 2014-05-01DOI: 10.1109/ICAdLT.2014.6866328
Hager Triki, A. Mellouli, Wafik Hachicha, F. Masmoudi
In general, assembly lines, allow low production costs, reduced cycle times and accurate quality levels. Assembly line balancing problem (ALBP) is about how to group the assembly activities, which have to be performed in an assembly task, into workstations, so that the total assembly time required at each workstation is approximately the same (cycle time). In this paper, an ALBP is studied in a real-world automotive cables manufacturer company. This company found it necessary to balance its line, since it needs to increase the production rate. In this line type, the number of stations is known and the objective is to minimize cycle time where both precedence and zoning constrains must be satisfied. For this purpose, a hybrid genetic algorithm (HGA) based on genetic algorithm scheme and local search procedures is implemented and fully characterized. The results of comparative studies with CPLEX software exact solutions show that the proposed HGA approach is very effective and competitive.
{"title":"Assembly line balancing in an automotive cables manufacturer using a genetic algorithm approach","authors":"Hager Triki, A. Mellouli, Wafik Hachicha, F. Masmoudi","doi":"10.1109/ICAdLT.2014.6866328","DOIUrl":"https://doi.org/10.1109/ICAdLT.2014.6866328","url":null,"abstract":"In general, assembly lines, allow low production costs, reduced cycle times and accurate quality levels. Assembly line balancing problem (ALBP) is about how to group the assembly activities, which have to be performed in an assembly task, into workstations, so that the total assembly time required at each workstation is approximately the same (cycle time). In this paper, an ALBP is studied in a real-world automotive cables manufacturer company. This company found it necessary to balance its line, since it needs to increase the production rate. In this line type, the number of stations is known and the objective is to minimize cycle time where both precedence and zoning constrains must be satisfied. For this purpose, a hybrid genetic algorithm (HGA) based on genetic algorithm scheme and local search procedures is implemented and fully characterized. The results of comparative studies with CPLEX software exact solutions show that the proposed HGA approach is very effective and competitive.","PeriodicalId":166090,"journal":{"name":"2014 International Conference on Advanced Logistics and Transport (ICALT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116152936","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 : 2014-05-01DOI: 10.1109/ICAdLT.2014.6866331
M. Koubaa, Sonda Elloumi, S. Dhouib
Personnel scheduling problem is a combinatorial optimization problem which belongs to NP-hard set of problems. In this paper, we propose to solve a seafaring staff scheduling problem through the use of the Artificial Bee Colony method. The central aim of this work is to offer a productive way in order to release a benchmarking between the results produced by the artificial Bee Colony method and those obtained by the traditionally applied method. The results show that this method outperforms the traditional one. Besides, this algorithm enables us to give the maximum of coverage with a less computational time.
{"title":"Artificial Bee Colony to solve seafaring staff scheduling problem: A real case","authors":"M. Koubaa, Sonda Elloumi, S. Dhouib","doi":"10.1109/ICAdLT.2014.6866331","DOIUrl":"https://doi.org/10.1109/ICAdLT.2014.6866331","url":null,"abstract":"Personnel scheduling problem is a combinatorial optimization problem which belongs to NP-hard set of problems. In this paper, we propose to solve a seafaring staff scheduling problem through the use of the Artificial Bee Colony method. The central aim of this work is to offer a productive way in order to release a benchmarking between the results produced by the artificial Bee Colony method and those obtained by the traditionally applied method. The results show that this method outperforms the traditional one. Besides, this algorithm enables us to give the maximum of coverage with a less computational time.","PeriodicalId":166090,"journal":{"name":"2014 International Conference on Advanced Logistics and Transport (ICALT)","volume":"59 3-4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120919466","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 : 2014-05-01DOI: 10.1109/ICAdLT.2014.6866315
M. Starostka-Patyk, T. Nitkiewicz
Reverse logistics and its processes are crucial in modern companies activities. One of the very important problems in this matter is the management of returns. As returned products are products with defects, there is always the possibility for proper treatment. Decisions about further management of defective product is difficult, regarding the product and its parts environmental impacts. Here, the useful tool is life cycle assessment (LCA), that can support reverse logistics processes in case of defective products management. LCA is used to assess environmental impact of cellular phone and 6 possible scenarios of its handling in case of any defects. The assessment shows that reuse and repair scenarios are helpful in mitigating environmental impact in life cycle while waste scenario and also recycling scenario have much higher impact.
{"title":"LCA approach to management of defective products in reverse logistics channels","authors":"M. Starostka-Patyk, T. Nitkiewicz","doi":"10.1109/ICAdLT.2014.6866315","DOIUrl":"https://doi.org/10.1109/ICAdLT.2014.6866315","url":null,"abstract":"Reverse logistics and its processes are crucial in modern companies activities. One of the very important problems in this matter is the management of returns. As returned products are products with defects, there is always the possibility for proper treatment. Decisions about further management of defective product is difficult, regarding the product and its parts environmental impacts. Here, the useful tool is life cycle assessment (LCA), that can support reverse logistics processes in case of defective products management. LCA is used to assess environmental impact of cellular phone and 6 possible scenarios of its handling in case of any defects. The assessment shows that reuse and repair scenarios are helpful in mitigating environmental impact in life cycle while waste scenario and also recycling scenario have much higher impact.","PeriodicalId":166090,"journal":{"name":"2014 International Conference on Advanced Logistics and Transport (ICALT)","volume":"os-4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127758288","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 : 2014-05-01DOI: 10.1109/ICAdLT.2014.6866339
Manel Elmsalmi, Wafik Hachicha
The performance of the supply chain can be affected by adverse events entering the system and affecting all exchanges of products, services and information between actors in a supply chain network. The management of these events is known as Supply Chain Risk Management (SCRM) which is defined, in a collaborative way with partners, as a set of tools for dealing with risk and uncertainty caused by, or having an impact on the activities and logistical resources. In this context, it is important to study the influences of these actors to each other, their strategies, their convergences and divergences of objectives and their balance of power to a better risk management. The purpose of this paper is to apply MACTOR (Matrix of Alliances and Conflicts: Tactics, Objectives and Recommendations) method to evaluate the balance of power between supply actors. Then, actors' convergences and divergences towards a number of issues and objectives associated with risk management are analyzed. Therefore, the most suitable risk mitigation strategies for each supply actor are constructed. A real case study in food industry is provided in order to illustrate the application of MACTOR method. The findings are very useful for all supply actors and it may also useful to the practitioners in risk management, since the method used here can be applied in other areas of management as well.
进入系统并影响供应链网络中参与者之间所有产品、服务和信息交换的不利事件可能会影响供应链的绩效。这些事件的管理被称为供应链风险管理(SCRM)，它被定义为与合作伙伴协作的方式，作为一组工具，用于处理由活动和物流资源引起的风险和不确定性，或对其产生影响。在此背景下，重要的是要研究这些行为体对彼此的影响、它们的战略、它们的目标趋同和不同之处以及它们的力量平衡，以便更好地进行风险管理。本文的目的是应用MACTOR (Matrix of Alliances and Conflicts: Tactics, Objectives and Recommendations)方法来评估供给行为体之间的权力平衡。然后，分析了参与者对与风险管理相关的一些问题和目标的趋同和分歧。因此，为每个供应行为者构建了最合适的风险缓解战略。为了说明MACTOR方法在食品工业中的应用，给出了一个实际案例。这些发现对所有的供应方都非常有用，也可能对风险管理的实践者有用，因为这里使用的方法也可以应用于其他管理领域。
{"title":"Risk mitigation strategies according to the supply actors' objectives through MACTOR method","authors":"Manel Elmsalmi, Wafik Hachicha","doi":"10.1109/ICAdLT.2014.6866339","DOIUrl":"https://doi.org/10.1109/ICAdLT.2014.6866339","url":null,"abstract":"The performance of the supply chain can be affected by adverse events entering the system and affecting all exchanges of products, services and information between actors in a supply chain network. The management of these events is known as Supply Chain Risk Management (SCRM) which is defined, in a collaborative way with partners, as a set of tools for dealing with risk and uncertainty caused by, or having an impact on the activities and logistical resources. In this context, it is important to study the influences of these actors to each other, their strategies, their convergences and divergences of objectives and their balance of power to a better risk management. The purpose of this paper is to apply MACTOR (Matrix of Alliances and Conflicts: Tactics, Objectives and Recommendations) method to evaluate the balance of power between supply actors. Then, actors' convergences and divergences towards a number of issues and objectives associated with risk management are analyzed. Therefore, the most suitable risk mitigation strategies for each supply actor are constructed. A real case study in food industry is provided in order to illustrate the application of MACTOR method. The findings are very useful for all supply actors and it may also useful to the practitioners in risk management, since the method used here can be applied in other areas of management as well.","PeriodicalId":166090,"journal":{"name":"2014 International Conference on Advanced Logistics and Transport (ICALT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127759417","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 : 2014-05-01DOI: 10.1109/ICAdLT.2014.6866330
Manel Ayadi, H. Chabchoub, A. Yassine
Over the last years, various extensions of Vehicle Routing Problem, Considering the pick -up and delivery vehicle routing problem have been studied. In this work we tackle the pickup and delivery of passengers namely Demand Responsive Transport. Its idea is to group a number of passengers in the same vehicle with the respecting of the capacity of each vehicle in order to reduce operational cost with the maintaining of high quality service. This paper presents an exact Method which is the Branch and Bound Algorithm to solve a new variant of Demand Responsive Transport which is based on service quality but not as an option it is an obligation. The Multi-Vehicle Demand Responsive Transport Problem Based on Service Quality in the case of Oneto-One(MVSDRTPBSQ1-t-1) under study presented the following characteristics: Users specify transportation requests between origins and destinations, each customer have his own origin and own destination, they may provide a time window on their desired departure or arrival time. All demands are knows before the pacification of vehicles tours and the transportation is supplied by a fleet of vehicle based at a common depot. The aim of this paper is to find the best routing scheduled of all receipt requests with the respecting of hard Time Windows of each customer, its mean that the most important is the service quality of each customer. The novelty of our paper is presented in the new manner of algorithm application. However, we will trying to take the general architecture of Branch & Bound algorithm and using valuation rules in a different way which can adapted for such problem to find an optimal solution.
{"title":"An exact method for the multi-vehicle static demand responsive transport problem based on service quality: The case of one-to-one","authors":"Manel Ayadi, H. Chabchoub, A. Yassine","doi":"10.1109/ICAdLT.2014.6866330","DOIUrl":"https://doi.org/10.1109/ICAdLT.2014.6866330","url":null,"abstract":"Over the last years, various extensions of Vehicle Routing Problem, Considering the pick -up and delivery vehicle routing problem have been studied. In this work we tackle the pickup and delivery of passengers namely Demand Responsive Transport. Its idea is to group a number of passengers in the same vehicle with the respecting of the capacity of each vehicle in order to reduce operational cost with the maintaining of high quality service. This paper presents an exact Method which is the Branch and Bound Algorithm to solve a new variant of Demand Responsive Transport which is based on service quality but not as an option it is an obligation. The Multi-Vehicle Demand Responsive Transport Problem Based on Service Quality in the case of Oneto-One(MVSDRTPBSQ1-t-1) under study presented the following characteristics: Users specify transportation requests between origins and destinations, each customer have his own origin and own destination, they may provide a time window on their desired departure or arrival time. All demands are knows before the pacification of vehicles tours and the transportation is supplied by a fleet of vehicle based at a common depot. The aim of this paper is to find the best routing scheduled of all receipt requests with the respecting of hard Time Windows of each customer, its mean that the most important is the service quality of each customer. The novelty of our paper is presented in the new manner of algorithm application. However, we will trying to take the general architecture of Branch & Bound algorithm and using valuation rules in a different way which can adapted for such problem to find an optimal solution.","PeriodicalId":166090,"journal":{"name":"2014 International Conference on Advanced Logistics and Transport (ICALT)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116912715","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 : 2014-05-01DOI: 10.1109/ICAdLT.2014.6864114
Amal Soufi, Anis Mjirda, M. Abed
In this work, we focus on the study of a scheduling problem that arises in the sterilization services in hospitals. The main role of a sterilization service is the disinfection of the reusable medical devices used in surgical operation rooms. Sterilization process has a well-defined cycle and it consists of the following steps: washing, cleaning, checking, packaging, and sterilization. Some of these steps are processed manually and others are processed on special machines. We propose a variable neighborhood descent based heuristic to minimize the makespan of the tasks processed manually on the sterilization services in the hospital “Jolimont”. Benchmarks based on data from hospitals are generated and computational experiments are done.
{"title":"Heuristic approch for solving the makespan problem in a hospital sterilization service","authors":"Amal Soufi, Anis Mjirda, M. Abed","doi":"10.1109/ICAdLT.2014.6864114","DOIUrl":"https://doi.org/10.1109/ICAdLT.2014.6864114","url":null,"abstract":"In this work, we focus on the study of a scheduling problem that arises in the sterilization services in hospitals. The main role of a sterilization service is the disinfection of the reusable medical devices used in surgical operation rooms. Sterilization process has a well-defined cycle and it consists of the following steps: washing, cleaning, checking, packaging, and sterilization. Some of these steps are processed manually and others are processed on special machines. We propose a variable neighborhood descent based heuristic to minimize the makespan of the tasks processed manually on the sterilization services in the hospital “Jolimont”. Benchmarks based on data from hospitals are generated and computational experiments are done.","PeriodicalId":166090,"journal":{"name":"2014 International Conference on Advanced Logistics and Transport (ICALT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134644842","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 : 2014-05-01DOI: 10.1109/ICAdLT.2014.6866317
Zeinebou Zoubeir, A. BenAbdelhafid
In this paper we propose a model of decision support to optimize the physical flows of the supply chain port. The physical flow, considered here, is a group of containers. To optimize these flows, we have developed a mathematical model proposing an allocation of incoming vessels on the waterfront in a way to minimize the total distance traveled by containers loaded / unloaded in the port area. As it is difficult to solve realistic problems within the imposed constraints, we propose a mathematical model to achieve our goals by respecting imposed constraints. This model is solved using different metaheuristics : genetic algorithms, simulated annealing, and the algorithm of ants colony optimisation and hybridization of the genetic algorithm and simulated annealing. The results of calculations and comparisons between these metaheuristics are presented in this article. These results are compared with others obtained by CPLEX for the same model and the same data.
{"title":"Comparing the effectiveness of different metaheuristics for optimization of flows of containers in a containers terminal","authors":"Zeinebou Zoubeir, A. BenAbdelhafid","doi":"10.1109/ICAdLT.2014.6866317","DOIUrl":"https://doi.org/10.1109/ICAdLT.2014.6866317","url":null,"abstract":"In this paper we propose a model of decision support to optimize the physical flows of the supply chain port. The physical flow, considered here, is a group of containers. To optimize these flows, we have developed a mathematical model proposing an allocation of incoming vessels on the waterfront in a way to minimize the total distance traveled by containers loaded / unloaded in the port area. As it is difficult to solve realistic problems within the imposed constraints, we propose a mathematical model to achieve our goals by respecting imposed constraints. This model is solved using different metaheuristics : genetic algorithms, simulated annealing, and the algorithm of ants colony optimisation and hybridization of the genetic algorithm and simulated annealing. The results of calculations and comparisons between these metaheuristics are presented in this article. These results are compared with others obtained by CPLEX for the same model and the same data.","PeriodicalId":166090,"journal":{"name":"2014 International Conference on Advanced Logistics and Transport (ICALT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123861990","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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