DCA for solving the scheduling of lifting vehicle in an automated port container terminal

The container was introduced as a universal carrier for various goods in the 1960s and soon became a standard worldwide transportation. The competitiveness of a container seaport is marked by different success factors, particularly the time in port for ships. Operational problems of container termin...

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Published in:	Computational management science Vol. 9; no. 2; pp. 273 - 286
Main Authors:	Le, Hoai Minh, Yassine, Adnan, Moussi, Riadh
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer-Verlag 01.05.2012 Springer Nature B.V Springer Verlag
Subjects:	Algorithms Automation Branch & bound algorithms Business and Management Containerization Containers Cranes Cranes & hoists Hoisting Integer programming Mathematical analysis Mathematical models Mathematics Mixed integer Operations Research/Decision Theory Optimization Optimization and Control Original Paper Ports Scheduling Studies Success factors Transportation terminals Trucks Vehicles DCA Automated lifting vehicle Branch and Bound 90C26 Programmation DC 90C27 90B06 Container port terminal
ISSN:	1619-697X, 1619-6988
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Abstract	The container was introduced as a universal carrier for various goods in the 1960s and soon became a standard worldwide transportation. The competitiveness of a container seaport is marked by different success factors, particularly the time in port for ships. Operational problems of container terminals is divided into several problems, such as assignment of vessels, loading/unloading and storage of the containers, quay cranes scheduling cite, planning yard cranes cite and assignment of storage containers cite. In this work, the study will focus on piloting yard trucks. Two different types of vehicles can be used, namely automated guided vehicles (AGVs) and lifting vehicles (LVs). An AGV receives a container from a quay crane and transports containers over fixed path. LVs are capable of lifting a container from the ground by itself. The model that we consider is formulated as a mixed integer programming problem, and the difficulty arises when the number of binary variables increases. There are a lot of algorithms designed for mixed integer programming problem such as Branch and Bound method, cutting plane algorithm, . . . By using an exact penalty technique we treat this problem as a DC program in the context of continuous optimization. Further, we combine the DCA with the classical Branch and Bound method for finding global solutions.
AbstractList	Issue Title: Special Issue: Optimal Decision Making The container was introduced as a universal carrier for various goods in the 1960s and soon became a standard worldwide transportation. The competitiveness of a container seaport is marked by different success factors, particularly the time in port for ships. Operational problems of container terminals is divided into several problems, such as assignment of vessels, loading/unloading and storage of the containers, quay cranes scheduling cite, planning yard cranes cite and assignment of storage containers cite. In this work, the study will focus on piloting yard trucks. Two different types of vehicles can be used, namely automated guided vehicles (AGVs) and lifting vehicles (LVs). An AGV receives a container from a quay crane and transports containers over fixed path. LVs are capable of lifting a container from the ground by itself. The model that we consider is formulated as a mixed integer programming problem, and the difficulty arises when the number of binary variables increases. There are a lot of algorithms designed for mixed integer programming problem such as Branch and Bound method, cutting plane algorithm, . . . By using an exact penalty technique we treat this problem as a DC program in the context of continuous optimization. Further, we combine the DCA with the classical Branch and Bound method for finding global solutions.[PUBLICATION ABSTRACT] The container was introduced as a universal carrier for various goods in the 1960s and soon became a standard worldwide transportation. The competitiveness of a container seaport is marked by different success factors, particularly the time in port for ships. Operational problems of container terminals is divided into several problems, such as assignment of vessels, loading/unloading and storage of the containers, quay cranes scheduling cite, planning yard cranes cite and assignment of storage containers cite. In this work, the study will focus on piloting yard trucks. Two different types of vehicles can be used, namely automated guided vehicles (AGVs) and lifting vehicles (LVs). An AGV receives a container from a quay crane and transports containers over fixed path. LVs are capable of lifting a container from the ground by itself. The model that we consider is formulated as a mixed integer programming problem, and the difficulty arises when the number of binary variables increases. There are a lot of algorithms designed for mixed integer programming problem such as Branch and Bound method, cutting plane algorithm, . . . By using an exact penalty technique we treat this problem as a DC program in the context of continuous optimization. Further, we combine the DCA with the classical Branch and Bound method for finding global solutions.
Author	Yassine, Adnan Le, Hoai Minh Moussi, Riadh
Author_xml	– sequence: 1 givenname: Hoai Minh surname: Le fullname: Le, Hoai Minh email: lehoai@univ-metz.fr organization: Laboratoire de Mathématique Appliquée du Havre – sequence: 2 givenname: Adnan surname: Yassine fullname: Yassine, Adnan organization: Laboratoire de Mathématique Appliquée du Havre, Institut Supérieur d’Etudes Logistiques (ISEL), Quai Frissard – sequence: 3 givenname: Riadh surname: Moussi fullname: Moussi, Riadh organization: Laboratoire de Mathématique Appliquée du Havre
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Cites_doi	10.1007/s00291-006-0045-4 10.1016/j.ejor.2004.07.066 10.1007/s10479-004-5022-1 10.1007/s00291-003-0146-2 10.1080/02331930108844555 10.1287/trsc.1030.0082 10.1016/S0191-2615(99)00057-0 10.1016/j.ijpe.2006.08.003 10.1016/j.tre.2006.08.001 10.1016/j.cie.2008.09.009 10.1023/A:1008288411710
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Keywords	DCA Automated lifting vehicle Branch and Bound 90C26 Programmation DC 90C27 90B06 Container port terminal
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SubjectTerms	Algorithms Automation Branch & bound algorithms Business and Management Containerization Containers Cranes Cranes & hoists Hoisting Integer programming Mathematical analysis Mathematical models Mathematics Mixed integer Operations Research/Decision Theory Optimization Optimization and Control Original Paper Ports Scheduling Studies Success factors Transportation terminals Trucks Vehicles
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Title	DCA for solving the scheduling of lifting vehicle in an automated port container terminal
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