TOPSIS and AHP techniques for selecting the most efficient marine container yard gantry crane

Increasing global usage of containerised cargo in maritime trade imposes heavy traffic on both of the quayside and landside marine container terminals. Untangling this problem, terminal operators have to choose the most efficient operating system in their terminals. This study analyses the concept of Multiple Attribute Decision Making (MADM) for selecting the most efficient yard gantry crane in marine container terminals among three alternatives including Straddle Carrier (SC), Rail Mounted Gantry Crane (RMG), and Rubber Tyred Gantry Crane (RTG). Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) are used as decision making tools during this research. The paper also provides an accurate comparison on the results of AHP and TOPSIS techniques.

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

[2]  Song Jin Yu,et al.  Benchmark optimization and attribute identification for improvement of container terminals , 2010, Eur. J. Oper. Res..

[3]  Rongfang Liu,et al.  Container terminal gate appointment system optimization , 2009 .

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

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

[6]  Qingcheng Zeng,et al.  Integrating simulation and optimization to schedule loading operations in container terminals , 2009, Comput. Oper. Res..

[7]  Hai-gui Kang,et al.  Study on berth and quay-crane allocation under stochastic environments in container terminal , 2008 .

[8]  Stefan Voß,et al.  Container terminal operation and operations research — a classification and literature review , 2004 .

[9]  Mahdieh Allahviranloo,et al.  Investment optimization on port's development by fuzzy integer programming , 2008, Eur. J. Oper. Res..

[10]  T. Saaty How to Make a Decision: The Analytic Hierarchy Process , 1990 .

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

[12]  Chien-Chang Chou,et al.  Application of FMCDM model to selecting the hub location in the marine transportation: A case study in southeastern Asia , 2010, Math. Comput. Model..

[13]  Petros A. Ioannou,et al.  CONTAINER MOVEMENT BY TRUCKS IN METROPOLITAN NETWORKS: MODELING AND OPTIMIZATION , 2005 .

[14]  M. Flavia Monaco,et al.  Operations Research for the management of a transhipment container terminal: The Gioia Tauro case , 2009 .

[15]  Matthew E. H. Petering Decision support for yard capacity, fleet composition, truck substitutability, and scalability issues at seaport container terminals , 2011 .

[16]  Branislav Dimitrijevic,et al.  Study to Determine the Need for Innovative Technologies for Container Transportation System , 2004 .

[17]  Tien-Chin Wang,et al.  Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment , 2007, Expert Syst. Appl..

[18]  Katta G. Murty,et al.  A decision support system for operations in a container terminal , 2005, Decis. Support Syst..

[19]  Chien-Chang Chou,et al.  A fuzzy MCDM method for solving marine transshipment container port selection problems , 2007, Appl. Math. Comput..

[20]  Chia-Chi Sun,et al.  A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods , 2010, Expert Syst. Appl..

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

[22]  Brian J. Roach D. Keith Thomas Operating and maintenance features of container handling systems , 1987 .

[23]  S. S. Ganji,et al.  Multi-criteria evaluation of stacking yard configuration , 2012 .

[24]  A. Saeed Nooramin,et al.  An energy-cost approach for evaluation of operating systems in container terminals , 2009 .

[25]  Yanfeng Ouyang,et al.  Optimal operations of transportation fleet for unloading activities at container ports , 2008 .