The Model of Support for the Decision-Making Process, While Organizing Dredging Works in the Ports

作者: Tomasz Neumann , Adam Kaizer

DOI: 10.3390/EN14092706

关键词: Priority queueOperations researchDecision-makingAnalytic hierarchy processDecision modelDecision support systemTraffic flowProcess (engineering)Computer scienceSchedule (project management)

摘要: The aim of the research was to create a decision-making model, which would be able support planning, organizing and conducting dredging works in port area. proposed solution is multiple element system enables verify, comprehensive way, majority aspects determining quality time enterprise realization. paper presents an original approach process during organization works, using computer program. In order achieve main goal study, conditions were considered. Furthermore, factors that have influence on schedule project evaluated algorithms, as well schemes, developed. If it not enough, decision models corresponding discussed issue analysed program created. And last but least, equipment verified simulation model. While creating this method criteria AHP (Analytic Hierarchy Process) used. Moreover, mass service model with priority queue regulations, expert statistical analysis traffic flow, provided. developed reliance studies, based opinions multinational experts. These enabled adjust each accordance various locations. As result research, following thesis has been proven, detailed taking into account received conclusions reduce costs shorten projects realizations.

参考文章(42)
Markus Fidler, Rajendra Persaud, M|G|1 priority scheduling with discrete pre-emption points: on the impacts of fragmentation on IP QoS Computer Communications. ,vol. 27, pp. 1183- 1196 ,(2004) , 10.1016/J.COMCOM.2004.02.023
Lijuan Cui, Guofeng Wu, Yaolin Liu, Monitoring the impact of backflow and dredging on water clarity using MODIS images of Poyang Lake, China Hydrological Processes. ,vol. 23, pp. 342- 350 ,(2009) , 10.1002/HYP.7163
Jian-Zhong Tang, Qing-Feng Wang, Online fault diagnosis and prevention expert system for dredgers Expert Systems with Applications. ,vol. 34, pp. 511- 521 ,(2008) , 10.1016/J.ESWA.2006.09.032
Przemyslaw Dziula, Krzysztof Kolowrocki, Joanna Soszynska-Budny, Maritime Transportation System Safety – Modeling and Identification TransNav: International Journal on Marine Navigation and Safety of Sea Transportation. ,vol. 7, pp. 169- 175 ,(2013) , 10.12716/1001.07.02.02
L. Cutroneo, F. Massa, M. Castellano, G. Canepa, S. Costa, P. Povero, S. Tucci, M. Capello, Technical and public approaches to involve dredging stakeholders and citizens in the development of a port area Environmental Earth Sciences. ,vol. 72, pp. 3159- 3171 ,(2014) , 10.1007/S12665-014-3222-9
Burton C. Suedel, Jongbum Kim, Douglas G. Clarke, Igor Linkov, A risk-informed decision framework for setting environmental windows for dredging projects Science of The Total Environment. ,vol. 403, pp. 1- 11 ,(2008) , 10.1016/J.SCITOTENV.2008.04.055
Andries Paarlberg, Massimo Guerrero, Fredrik Huthoff, Mariano Re, Optimizing Dredge-and-Dump Activities for River Navigability Using a Hydro-Morphodynamic Model Water. ,vol. 7, pp. 3943- 3962 ,(2015) , 10.3390/W7073943
Valérie Bellec, Adonis F Velegrakis, Serafim Poulos, Rolandas Radzevicius, Faustino Manso, Arnaud Ballay, European marine aggregates resources: Origins, usage, prospecting and dredging techniques Journal of Coastal Research. pp. 1- 14 ,(2010) , 10.2112/SI51-002.1