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

被引:8
|
作者
Kaizer, Adam [1 ]
Neumann, Tomasz [1 ]
机构
[1] Gdynia Maritime Univ, Dept Nav, PL-81345 Gdynia, Poland
关键词
dredging; port; decision making; computer support systems; TRANSPORT; SYSTEM; IMPACT; FRAMEWORK; PRIORITY; SAFETY; IMAGES; FARMS; WIND;
D O I
10.3390/en14092706
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The aim of the research was to create a decision-making model, which would be able to support planning, organizing and conducting the dredging works in the port area. The proposed solution is a multiple element system which enables to verify, in a comprehensive way, the majority of the aspects determining the quality and the time of dredging enterprise realization. The paper presents an original approach to the decision-making process during the organization of dredging works, using the computer program. In order to achieve the main goal of the study, the conditions of dredging works were considered. Furthermore, the factors that have an influence on the schedule of the project were evaluated and algorithms, as well as process organization schemes, were developed. If it is not enough, the decision models corresponding to the discussed issue were analysed and the computer program was created. And last but not the least, the proposed project and equipment were verified using a simulation model. While creating this model, the method of multiple criteria AHP (Analytic Hierarchy Process) decision support was used. Moreover, the mass service model with the priority queue regulations, the expert study, and statistical analysis of the traffic flow, were provided. The model was developed in reliance to multiple criteria studies, based on the opinions of multinational experts. These enabled to adjust each element of the system in accordance with various locations. As a result of the research, the following thesis has been proven, that detailed analysis of the conditions of dredging works and taking into account the received conclusions enables to reduce the costs and shorten the time of dredging projects realizations.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Decision-making model for the selection of floating wind logistic support ports
    Diaz, H.
    Soares, C. Guedes
    OCEAN ENGINEERING, 2023, 281
  • [2] A model of the information security investment decision-making process
    Dor, Daniel
    Elovici, Yuual
    COMPUTERS & SECURITY, 2016, 63 : 1 - 13
  • [3] Socialising the decision-making process: transaction provenance decision support
    Humphreys, Patrick
    JOURNAL OF DECISION SYSTEMS, 2020, 29 (sup1) : 139 - 153
  • [4] THE CONTROLLING MODEL AS MANAGEMENT SUPPORT IN DECISION-MAKING
    Bolfek, Berislav
    EKONOMSKI VJESNIK, 2010, 23 (01): : 94 - 113
  • [5] A reliability diagnosis to support servitization decision-making process
    Dahmani, Sarra
    Boucher, Xavier
    Peillon, Sophie
    Besombes, Beatrix
    JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT, 2016, 27 (04) : 502 - 534
  • [6] The knowledge management as a tool to support the decision-making process
    Franch Leon, Katia
    Herrera Lemus, Katy
    Losada Trabada, Anton
    REVISTA DE INVESTIGACIONES POLITICAS Y SOCIOLOGICAS, 2013, 12 (01): : 115 - 156
  • [7] Multicriteria Decision-Making in Diabetes Management and Decision Support: Systematic Review
    Aldaghi, Tahmineh
    Muzik, Jan
    JMIR MEDICAL INFORMATICS, 2024, 12
  • [8] A decision-making model to support the design of a strategic supply chain configuration
    Song, Guang
    Sun, Luoyi
    Wang, Yixiao
    JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT, 2018, 29 (03) : 515 - 532
  • [9] An Interrelated Decision-Making Model for an Intelligent Decision Support System in Healthcare
    Mahiddin, Normadiah
    Othman, Zulaiha Ali
    Abu Bakar, Azuraliza
    Rahim, Nur Arzuar Abdul
    IEEE ACCESS, 2022, 10 : 31660 - 31676
  • [10] Risk-based decision-making framework for the selection of sediment dredging option
    Manap, Norpadzlihatun
    Voulvoulis, Nikolaos
    SCIENCE OF THE TOTAL ENVIRONMENT, 2014, 496 : 607 - 623