Multicriteria and multivariate analysis for port performance evaluation

Port services are key elements of a country's economy. They provide the necessary infrastructure for the development of industry, business and international trade. In this case, evaluating and improving their performance is essential to achieve international competitiveness. This paper presents a model for obtaining the performance of container terminals based on a multicriteria methodology. Factor analysis was used to reduce the number of criteria and ensure independence among them. The model has proved to be satisfactory in the ordering of container terminals considering the available data on major Brazilian ports from 2006 to 2009, according to the decision maker's values. The proposed method can develop applied models in the port area for any sector in order to evaluate performance. The results and the methodology are useful in supporting port authorities in providing incentives to achieve improvements in efficiency.

[1]  Leonardo Ensslin,et al.  UM ESTUDO DE CASO SOBRE GERENCIAMENTO DE PORTFÓLIO DE PROJETOS E APOIO À DECISÃO MULTICRITÉRIO , 2010 .

[2]  Wen-Min Lu,et al.  Benchmarking the operating efficiency of Asia container ports , 2010, Eur. J. Oper. Res..

[3]  Kevin Cullinane,et al.  Estimating the Relative Efficiency of European Container Ports: A Stochastic Frontier Analysis , 2006 .

[4]  T. Saaty,et al.  Why the magic number seven plus or minus two , 2003 .

[5]  Jonathan Rosenhead,et al.  Problem structuring methods in action , 2004, Eur. J. Oper. Res..

[6]  Kevin Cullinane,et al.  The technical efficiency of container ports: Comparing data envelopment analysis and stochastic frontier analysis , 2006 .

[7]  José I. Castillo-Manzano,et al.  Low-cost port competitiveness index: Implementation in the Spanish port system☆ , 2009 .

[8]  Carlos A. Bana e Costa,et al.  Prioritization of bridges and tunnels in earthquake risk mitigation using multicriteria decision analysis: Application to Lisbon , 2008 .

[9]  Leonardo Ensslin,et al.  AVALIAÇÃO DE PILOTOS DE VERY LIGHT JETs UTILIZANDO-SE A MCDA-C , 2009 .

[10]  Dong-Wook Song,et al.  Evaluating impacts of institutional reforms on port efficiency changes: Ownership, corporate structure, and total factor productivity changes of world container ports , 2010 .

[11]  Leonardo Ensslin,et al.  The multicriteria analysis for construction of benchmarkers to support the Clinical Engineering in the Healthcare Technology Management , 2010, Eur. J. Oper. Res..

[12]  Kevin Cullinane,et al.  The relationship between privatization and DEA estimates of efficiency in the container port industry , 2005 .

[13]  Mark Goh,et al.  Container port efficiency in emerging and more advanced markets , 2010 .

[14]  Peter Filzmoser,et al.  Exploratory factor analysis revisited: How robust methods support the detection of hidden multivariate data structures in IS research , 2010, Inf. Manag..

[15]  Dongping Fang,et al.  Factor analysis-based studies on construction workplace safety management in China , 2004 .

[16]  Adrià Giménez,et al.  Room acoustical parameters: A factor analysis approach , 2009 .

[17]  Gi-Tae Yeo,et al.  Evaluating the competitiveness of container ports in Korea and China , 2008 .

[18]  Carlos A. Bana e Costa,et al.  A career choice problem: An example of how to use MACBETH to build a quantitative value model based on qualitative value judgments , 2004, Eur. J. Oper. Res..

[19]  Peter Bernard Marlow,et al.  Measuring lean ports performance , 2003 .

[20]  Ricardo Mateus,et al.  Multicriteria decision analysis (MCDA): Central Porto high-speed railway station , 2008, Eur. J. Oper. Res..

[21]  Cengiz Kahraman,et al.  Application of axiomatic design and TOPSIS methodologies under fuzzy environment for proposing competitive strategies on Turkish container ports in maritime transportation network , 2009, Expert Syst. Appl..

[22]  Carlos A. Bana e Costa,et al.  On the Mathematical Foundation of MACBETH , 2005 .

[23]  Subhash Sharma.  Applied multivariate techniques , 1995 .

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