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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 17, issue 2 | Copyright

Special issue: Situational sea awareness technologies for maritime safety...

Nat. Hazards Earth Syst. Sci., 17, 261-275, 2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 23 Feb 2017

Research article | 23 Feb 2017

The evaluation and enhancement of quality, environmental protection and seaport safety by using FAHP

Danijela Tadic1, Aleksandar Aleksic1, Pavle Popovic2, Slavko Arsovski1, Ana Castelli3, Danijela Joksimovic3, and Miladin Stefanovic1 Danijela Tadic et al.
  • 1Faculty of Engineering, University of Kragujevac, Sestre Janjic 6, 34 000 Kragujevac, Serbia
  • 2Luka Kotor A.D., Park Slobode 1, 85330 Kotor, Montenegro
  • 3Institute of Marine Biology, University of Montenegro, Dobrota bb, P.O. Box 69, 85330 Kotor, Montenegro

Abstract. The evaluation and enhancement of business processes in any organization in an uncertain environment presents one of the main requirements of ISO 9000:2008 and has a key effect on competitive advantage and long-term sustainability. The aim of this paper can be defined as the identification and discussion of some of the most important business processes of seaports and the performances of business processes and their key performance indicators (KPIs). The complexity and importance of the treated problem call for analytic methods rather than intuitive decisions. The existing decision variables of the considered problem are described by linguistic expressions which are modelled by triangular fuzzy numbers (TFNs). In this paper, the modified fuzzy extended analytic hierarchy process (FAHP) is proposed. The assessment of the relative importance of each pair of performances and their key performance indicators are stated as a fuzzy group decision-making problem. By using the modified fuzzy extended analytic hierarchy process, the fuzzy rank of business processes of a seaport is obtained. The model is tested through an illustrative example with real-life data, where the obtained data suggest measures which should enhance business strategy and improve key performance indicators. The future improvement is based on benchmark and knowledge sharing.

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