Integrated maritime fleet deployment and speed optimization: Case study from RoRo shipping

被引:98
作者
Andersson, Henrik [1 ]
Fagerholt, Kjetil [1 ,2 ]
Hobbesland, Kirsti [1 ]
机构
[1] Norwegian Univ Sci & Technol, Dept Ind Econ & Technol Management, N-7034 Trondheim, Norway
[2] Norwegian Marine Technol Res Inst MARINTEK, Trondheim, Norway
关键词
Fleet deployment; Speed optimization; Rolling horizon heuristic; MODELS;
D O I
10.1016/j.cor.2014.03.017
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
When planning shipping routes, it is common to use a sequential approach where it is first assumed that each ship sails with a given service speed, and then later during the execution of the routes optimize the sailing speeds along the routes. in this paper we propose a new modeling approach for integrating speed optimization in the planning of shipping routes, as well as a rolling horizon heuristic for solving the combined problem. As a case study we consider a real deployment and routing problem in RoRo-shipping. Computational results show that the rolling horizon heuristic yields good solutions to the integrated problem within reasonable time. It is also shown that significantly better solutions are obtained when speed optimization is integrated with the planning of shipping routes. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:233 / 240
页数:8
相关论文
共 19 条
[1]   ANALYTIC FRAMEWORK FOR EVALUATING ROLLING SCHEDULES [J].
BAKER, KR ;
PETERSON, DW .
MANAGEMENT SCIENCE, 1979, 25 (04) :341-351
[2]   Supply chain optimization in the pulp mill industry -: IP models, column generation and novel constraint branches [J].
Bredström, D ;
Lundgren, JT ;
Rönnqvist, M ;
Carlsson, D ;
Mason, A .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2004, 156 (01) :2-22
[3]   Ship routing and scheduling in the new millennium [J].
Christiansen, Marielle ;
Fagerholt, Kjetil ;
Nygreen, Bjorn ;
Ronen, David .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2013, 228 (03) :467-483
[4]   Joint rolling-horizon scheduling of materials processing and lot-sizing with sequence-dependent setups [J].
de Araujo, Silvio A. ;
Arenales, Marcos N. ;
Clark, Alistair R. .
JOURNAL OF HEURISTICS, 2007, 13 (04) :337-358
[5]   Fleet deployment in liner shipping: a case study [J].
Fagerholt, Kjetil ;
Johnsen, Trond A. V. ;
Lindstad, Haakon .
MARITIME POLICY & MANAGEMENT, 2009, 36 (05) :397-409
[6]   Special Issue on Latin-American Research: A Time Based Discretization Approach for Ship Routing and Scheduling with Variable Speed [J].
Gatica, Ricardo A. ;
Miranda, Pablo A. .
NETWORKS & SPATIAL ECONOMICS, 2011, 11 (03) :465-485
[7]   A novel modeling approach for the fleet deployment problem within a short-term planning horizon [J].
Gelareh, Shahin ;
Meng, Qiang .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2010, 46 (01) :76-89
[8]   Analysis of an exact algorithm for the vessel speed optimization problem [J].
Hvattum, Lars Magnus ;
Norstad, Inge ;
Fagerholt, Kjetil ;
Laporte, Gilbert .
NETWORKS, 2013, 62 (02) :132-135
[9]   Tactical planning models for managing container flow and ship deployment [J].
Liu, Xinxin ;
Ye, Heng-Qing ;
Yuan, Xue-Ming .
MARITIME POLICY & MANAGEMENT, 2011, 38 (05) :487-508
[10]   A chance constrained programming model for short-term liner ship fleet planning problems [J].
Meng, Qiang ;
Wang, Tingsong .
MARITIME POLICY & MANAGEMENT, 2010, 37 (04) :329-346