Forthcoming and Online First Articles

International Journal of Decision Support Systems

International Journal of Decision Support Systems (IJDSS)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Decision Support Systems (2 papers in press)

Regular Issues

  • Decision support system applications (1980-2022). Classification and statistical analysis   Order a copy of this article
    by Panagiotis I. Mallios, Nikolaos F. Matsatsinis 
    Abstract: The main goal of decision support system applications (DSS), is to aid decision makers by collecting data and information into their structured environment, in order t take an optimal decision. They are developed to accomplish several tasks, that is, organise the overflow of data, knowledge and information, provide support to decision makers and illustrate their judgment and preferences. The purpose of the current survey is the categorisation and classification of DSS applications according to specific criteria and finally their statistical analysis according to special characteristics that may have. This paper provides a review of DSS applications over the period (January 1980-June 2022). Seven hundred and sixty published applications are identified.
    Keywords: decision support systems; DSS; survey; classification; statistical analysis.
    DOI: 10.1504/IJDSS.2024.10061753
     
  • Recommender system application for maritime crew recruiting and scheduling operations   Order a copy of this article
    by Panagiotis Mamatsis, Spiros Chountasis 
    Abstract: Registration and screening of personnel by shipping firms is a crucial process that is currently being studied. The aim of this research is to develop an optimised and automatic process for identifying the best option for crew assignment and scheduling based on a recommender system. A new model is proposed to capture the various constraints and objectives encountered in crew assignment and scheduling problems. The model is hosted on a recommender system. Its architecture can handle large amounts of data and complex computations. A case study has been successfully simulated. The results of the developed technique have been presented and evaluated proving that our approach can efficiently and accurately resolve the vessel scheduling issue for an entire crew list.
    Keywords: recommendation systems; OR in maritime industry; shipping crew scheduling; crew assignment.

 

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