Survey on planning problems in inland waterway transport: current status and future perspectives

Inland waterway transport plays an important role for the transport of goods in Europe. More than 37,000 kilometers of waterways connect hundreds of cities and industrial regions. Compared with other modes of transport which are often confronted with congestion and capacity problems, inland waterway transport is characterized by its reliability, low environmental impact and its major capacity for increased exploitation. The European Commission aims to promote and strengthen the competitive position of the inland waterway transport in the transport system and to facilitate its integration into the intermodal logistic chain. Thus, inland waterway transport will be a promising research issue in the near future. The objective of this paper is to review the current status of research on inland waterway transport at a tactical planning level. This paper firstly describes the characteristics and relevant activities involved in this transport mode and then reviews the literature published recently. Finally, this paper presents some perspectives regarding future research directions in the field of inland waterway transport.

[1]  Carlos Carrascosa,et al.  A Multi-Agent System for the Automation of a Port Container Terminal , 2000 .

[2]  Akio Imai,et al.  Berth allocation planning in the public berth system by genetic algorithms , 2001, Eur. J. Oper. Res..

[3]  Daofang Chang,et al.  Integrating Berth Allocation and Quay Crane Assignments , 2010 .

[4]  Kevin Cullinane,et al.  The Application of Mathematical Programming Approaches to Estimating Container Port Production Efficiency , 2005 .

[5]  Stefan Voß,et al.  Operations research at container terminals: a literature update , 2007, OR Spectr..

[6]  Kap Hwan Kim,et al.  Berth scheduling for container terminals by using a sub-gradient optimization technique , 2002, J. Oper. Res. Soc..

[7]  Robert Stahlbock,et al.  Vehicle Routing Problems and Container Terminal Operations - An Update of Research , 2008 .

[8]  Akio Imai,et al.  The Dynamic Berth Allocation Problem for a Container Port , 2001 .

[9]  Anne Goodchild.  Port Planning for Double-Cycling Crane Operations , 2006 .

[10]  Kap Hwan Kim,et al.  A crane scheduling method for port container terminals , 2004, Eur. J. Oper. Res..

[11]  Akio Imai,et al.  The simultaneous berth and quay crane allocation problem , 2008 .

[12]  Georgios K. D. Saharidis,et al.  The berth allocation problem: Optimizing vessel arrival time , 2009 .

[13]  Erhan Kozan.  Increasing the operational efficiency of container terminals in Australia , 1997 .

[14]  Joseph J. M. Evers,et al.  Automated guided vehicle traffic control at a container terminal , 1996 .

[15]  Yong-Ki Koh.  Optimal investment priority in container port development , 2001 .

[16]  Akio Imai,et al.  Berthing ships at a multi-user container terminal with a limited quay capacity , 2008 .

[17]  Akio Imai,et al.  Berth allocation with service priority , 2003 .

[18]  Akio Imai,et al.  The Berth Allocation Problem with Service Time and Delay Time Objectives , 2007 .

[19]  G. Battese,et al.  A model for technical inefficiency effects in a stochastic frontier production function for panel data , 1995 .

[20]  Christian Bierwirth,et al.  A survey of berth allocation and quay crane scheduling problems in container terminals , 2010, Eur. J. Oper. Res..

[21]  Kevin Cullinane,et al.  A stochastic frontier model of the productive efficiency of Korean container terminals , 2003 .

[22]  James R. McDonald,et al.  A Port System Simulation Facility With An Optimization Capability , 2003, Int. J. Comput. Intell. Appl..

[23]  Albert Douma,et al.  Aligning the operations of barges and terminals through distributed planning , 2008 .

[24]  Anne V. Goodchild,et al.  Double-Cycling Strategies for Container Ships and Their Effect on Ship Loading and Unloading Operations , 2006, Transp. Sci..

[25]  Jos van Hillegersberg,et al.  Design and evaluation of a simulation game to introduce a Multi-Agent system for barge handling in a seaport , 2012, Decis. Support Syst..

[26]  Dong-Wook Song,et al.  An Application of the Hierarchical Fuzzy Process to Container Port Competition: Policy and Strategic Implications , 2006 .

[27]  Katarina Vukadinović,et al.  A neural network approach to the vessel dispatching problem , 1997 .

[28]  Gilbert Laporte,et al.  A branch‐and‐cut algorithm for the quay crane scheduling problem in a container terminal , 2006 .

[29]  T Roosevelt.  INLAND WATERWAYS. , Science.

[30]  Pierre Hansen,et al.  Variable neighborhood search for minimum cost berth allocation , 2003, Eur. J. Oper. Res..

[31]  Hans Moonen,et al.  Agent Technology Supports Inter-Organizational Planning in the Port , 2005 .

[32]  J. Tongzon,et al.  Port privatization, efficiency and competitiveness: Some empirical evidence from container ports (terminals) , 2005 .

[33]  M. Horst,et al.  Coordination in Hinterland Transport Chains: A Major Challenge for the Seaport Community , 2008 .

[34]  Islam El-Nakib.  Examining the Status of Egypt’s River Transport System , 2011 .

[35]  Rob Konings,et al.  Strategies and innovations to improve the performance of barge transport , 2007 .

[36]  Lixin Miao,et al.  Quay crane scheduling with non-interference constraints in port container terminals , 2008 .

[37]  Peter Schuur,et al.  Waiting profiles: An efficient protocol for enabling distributed planning of container barge rotations along terminals in the port of Rotterdam , 2009 .

[38]  Stefan Voß,et al.  Container terminal operation and operations research - a classification and literature review , 2004, OR Spectr..

[39]  Anne Goodchild,et al.  Crane double cycling in container ports: algorithms, evaluation, and planning , 2005 .

[40]  Franklin Farell.  Roadmap to a Single European Transport Area: Towards a competitive and resource efficient transport system , 2014 .

[41]  Todd C. Whyte,et al.  A simulation-based software system for barge dispatching and boat assignment in inland waterways , 2005, Simul. Model. Pract. Theory.

[42]  Yongpei Guan,et al.  The berth allocation problem: models and solution methods , 2004, OR Spectr..

[43]  Christian Bierwirth,et al.  Heuristics for the integration of crane productivity in the berth allocation problem , 2009 .

[44]  Rob Konings,et al.  Opportunities to improve container barge handling in the port of Rotterdam from a transport network perspective , 2007 .

[45]  Leonardo Ramos Rios,et al.  Analysing the Relative Efficiency of Container Terminals of Mercosur using DEA , 2006 .

[46]  Akio Imai,et al.  BERTH ALLOCATION IN A CONTAINER PORT: USING A CONTINUOUS LOCATION SPACE APPROACH , 2005 .

[47]  Iris F. A. Vis,et al.  Transshipment of containers at a container terminal: An overview , 2003, Eur. J. Oper. Res..

[48]  K. Cullinane,et al.  The Efficiency of European Container Terminals and Implications for Supply Chain Management , 2006 .

[49]  Steven A. Grant.  Research Study of River Information Services on the US Inland Waterway Network , 2010 .

[50]  Martijn C. Schut,et al.  APPROACH: Decentralised Rotation Planning for Container Barges , 2004, ECAI.

[51]  Y. Li,et al.  Port space allocation with a time dimension , 2007, J. Oper. Res. Soc..

[52]  Dušan Teodorović,et al.  A fuzzy approach to the vessel dispatching problem , 1994 .

[53]  Kevin Cullinane,et al.  A stochastic frontier model of the efficiency of major container terminals in Asia: assessing the influence of administrative and ownership structures , 2002 .

[54]  Ebrahim Shayan,et al.  Investigation of port capacity under a new approach by computer simulation , 2002 .

[55]  K. L. Mak,et al.  Quay crane scheduling in container terminals , 2006 .