190
4 CONCLUSIONS
An expert survey, performed as a questionnaire, was
conducted among the group of thirty experienced
respondents, associated with the dredging branch.
Relatively small number of respondents taking part in
the survey, resulted from difficulties with finding the
experts in this field and from the fact that there is only
a limited number of companies which are involved in
the matter of dredging works.
According to the survey results, it is worth
mentioning, that the most important features which
influence the selection of dredging equipment are
type of soil, quantity of dredging spoil and also
location and topography of harbportur. This
conclusion shows that during the organization of
dredging works, it is essential to adjust the working
technology to harbour basin. Moreover, in the survey
was signalized that it is also important to consider the
ship traffic intensity while choosing the dredger.
Taking everything into consideration, investing in
port infrastructure should be properly planned so as
to avoid obstruction of operation of terminals and
obstruction of ship traffic (Kaizer, Smolarek,
Krośnicka, & Ziajka, 2017).
The survey enabled to gain additional knowledge
in the situation of making a decisions about projects
with global conditions as well as it gave a statistical
values of the assessments concerning parameters required
in the studies containing multi-criteria analysis.
REFERENCES
Formela, K., & Kaizer, A. (2013). The concept of modernization
works related to the capability of handling e class container
vessels in the Port of Gdynia. [in.:] Weintrit A., Neumann
T. (eds), Maritime Transport & Shipping - Marine
Navigation and Safety of Sea Transportation. CRC Press,
Taylor & Francis Group, Boca Raton, London, New
York, Leiden.
Goossens, L. H. J., & Cooke, R. M. (1996). Procedures guide for
the use of expert judgement in uncertainty analyses.
Probabilistic Safety Assessment and Management.
Guida, G., Baroni, P., Cojazzi, G., Pinola, L., & Sardella, R.
(1996). Preliminary requirements for a knowledge engineering
approach to expert elicitation in probabilistic assessment.
Probabilistic Safety Assessment and Management.
Kaizer, A., & Kuznetsov, A. (2014). Modeling of dredging
works and marine traffic interference assessment. Prace
Wydziału Nawigacyjnego (T. 29). Prace Wydziału
Nawigacyjnego.
Kaizer, A., Smolarek, L., Krośnicka, K., & Ziajka, E. (2017).
The analysis of container vessel service efficiency in the aspect
of berth and handling equipment usage in polish ports. [in:]
A. Weintrit & T. Neumann (Eds), Safety of Sea
Transportation. Marine Navigation and Safety of Sea
Transportation. CRC Press. Taylor & Francis Group,
Boca Raton, London, New York, Leiden.
Książek, M., & Nowak, P. (2009). Expert methods for design
solutions assessment. (I. and T. „TRANSCOMP 2009” 13th
International Conference Computer Systems Aided
Science, Red.). Poznań: Logistyka.
Lund, J. R. (1990). Scheduling maintenance dredging on single
reach with uncertainty. Journal of Waterway, Port, Coastal
and Ocean Engineering.
Miedema, S., & Becker, S. (1993). The use of modelling and
simulation in the dredging industry in particular the closing
process of clamshel dredges. CEDA Dredging Days.
Amsterdam.
Mitchell, K. N., Wang, B., & Khodakarami, M. (2013).
Selection of dredging projects for maximizing waterway
system performance. Transportation research record:
Journal of transportation research board.
https://doi.org/10.3141/2330-06
Smolarek, L., & Kaizer, A. (2015). The analysis of dredging
project’s effectiveness in the Port of Gdynia, based on the
interference with vessel traffic. [in:] Weintrit A. &
Neumann T. (eds), Safety of Marine Transport - Marine
Navigation and Safety of Sea Transportation. CRC Press,
Taylor & Francis Group, Boca Raton, London, New
York, Leiden.
Smolarek, L., & Kaizer, A. (2016). Methodology of creating a
work schedule for dredging at port areas (T. 45). Szczecin:
Zeszyty Naukowe Akademii Morskiej w Szczecinie.
https://doi.org/10.17402/107
Thomas L. Saaty. (1990). How to make a decision: The Analytic
Hierarchy Process (T. 48). European Journal of
Operational Research. https://doi.org/10.1016/0377-
2217(90)90057-I
Trakhtenberg, B. E., & Solomakhin, A. N. (2013). Expert
analysis procedure to specify strategically priorities of
municipal entity social and economical development. Yelm:
American Journal of Economics and Control Systems
Management.
Żak, J. (2014). Metodyka wielokryterialnego wspomagania decyzji
w transporcie i logistyce. Logistyka (T. 3).