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New Procedure for Assigning Drivers to Work Schedules at a Container Terminal

Received: 1 June 2015    Accepted: 15 June 2015    Published: 2 July 2015
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Abstract

One of the success factors of a terminal is related to the time in port for the retrieval and transport of containers. Straddle carriers (SCs) are the pivotal axis around which the terminal transportation system evolves and the success or failure of that process is an indicator of the reliability of the container terminal. Over the last years, the deficiency of efficient control and coordination mechanisms in practice produced a relaxation of transportation principles. The valorization of the academic environment represents nowadays one of the most important research challenges. In this paper, we present a collaborative filtering recommender system able to manage the work schedule’s assignment to straddle carrier’s drivers in a container terminal and provide preliminary results on customer’s satisfaction.

Published in Journal of Investment and Management (Volume 4, Issue 1)
DOI 10.11648/j.jim.20150401.11
Page(s) 1-8
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Recommendation System, Collaborative Filtering, Straddle Carrier’s Assignment

References
[1] G. Adomavicius , A. Tuzhilin.“Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions”, IEEE Computer Society, volume 17, Issue 6. (2005).
[2] S. S. Anand, B. Mobasher., “Lecture Notes in Computer Science”, Springer Berlin Heidelberg, volume 3169: 1–36,(2005).
[3] N. Belkin, W. Croft. “Information filtering and information retrieval: Two sides of the same coin?” Communications of the ACM, 35(12):29–38, (1992).
[4] Y. Blanco-Fernandez, M. L. Nores, J. J. P. Arias, and J. G. Duque. “An improvement for semantics-based recommender systems grounded on attaching temporal information to ontologies and user profiles”. Eng. Appl. of AI, 24(8):1385–1397, (2011).
[5] J. Herlocker, J. Konstan, L. Terveen, and J. Riedl. “Evaluating collaborative filtering recommender systems”. ACM Transactions on Information Systems, 22(1):5–53, (2004).
[6] D. Jannach, M. Zanker, A. Felfernig, and G. Friedrich. “Recommender Systems: An Introduction”. Cambridge University Press, (2011).
[7] G. Karypis. “Evaluation of item-based top-n recommendation algorithms”. In Proceedings of the tenth international conference on Information and knowledge management, pages 247–254, Atlanta, Georgia, USA, ACM Press, (2001).
[8] M. Khaled, “Six Sigma Approach for the Straddle Carrier Routing Problem”, Journal of Maritime Research, vol. X. No.1 (2013), pp. 71-84, (2013).
[9] M. Khaled, T. Sadraoui “Optimizing the Operational Process at Container Terminal” International Journal of Econometrics and Financial Management, Vol. 3, No. 2, 91-98, (2015).
[10] M. Khaled, M. Faissal, “Genetic procedure for the Single Straddle Carrier Routing Problem” International Journal of Advanced Computer Science and Applications, Vol. 3, No. 11, (2012).
[11] P. Melville and V. Sindhwani. “Recommender Systems”. Encyclopedia of Machine Learning, pages 829–838, (2010).
[12] P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom, and J. Riedl. Grouplens,“An open architecture for collaborative filtering of net news”, Proceedings of ACM 1994 Conference on Computer Supported Cooperative Work, pages 175–186. ACM Press, (1994).
[13] P.-N. Tan, M. Steinbach, and V. Kumar. “Introduction to Data Mining”. Addison Wesley, (2006).
Cite This Article
  • APA Style

    Khaled Mili, Ilhem Elghoul. (2015). New Procedure for Assigning Drivers to Work Schedules at a Container Terminal. Journal of Investment and Management, 4(1), 1-8. https://doi.org/10.11648/j.jim.20150401.11

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    ACS Style

    Khaled Mili; Ilhem Elghoul. New Procedure for Assigning Drivers to Work Schedules at a Container Terminal. J. Invest. Manag. 2015, 4(1), 1-8. doi: 10.11648/j.jim.20150401.11

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    AMA Style

    Khaled Mili, Ilhem Elghoul. New Procedure for Assigning Drivers to Work Schedules at a Container Terminal. J Invest Manag. 2015;4(1):1-8. doi: 10.11648/j.jim.20150401.11

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  • @article{10.11648/j.jim.20150401.11,
      author = {Khaled Mili and Ilhem Elghoul},
      title = {New Procedure for Assigning Drivers to Work Schedules at a Container Terminal},
      journal = {Journal of Investment and Management},
      volume = {4},
      number = {1},
      pages = {1-8},
      doi = {10.11648/j.jim.20150401.11},
      url = {https://doi.org/10.11648/j.jim.20150401.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jim.20150401.11},
      abstract = {One of the success factors of a terminal is related to the time in port for the retrieval and transport of containers. Straddle carriers (SCs) are the pivotal axis around which the terminal transportation system evolves and the success or failure of that process is an indicator of the reliability of the container terminal. Over the last years, the deficiency of efficient control and coordination mechanisms in practice produced a relaxation of transportation principles. The valorization of the academic environment represents nowadays one of the most important research challenges. In this paper, we present a collaborative filtering recommender system able to manage the work schedule’s assignment to straddle carrier’s drivers in a container terminal and provide preliminary results on customer’s satisfaction.},
     year = {2015}
    }
    

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    AU  - Khaled Mili
    AU  - Ilhem Elghoul
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    AB  - One of the success factors of a terminal is related to the time in port for the retrieval and transport of containers. Straddle carriers (SCs) are the pivotal axis around which the terminal transportation system evolves and the success or failure of that process is an indicator of the reliability of the container terminal. Over the last years, the deficiency of efficient control and coordination mechanisms in practice produced a relaxation of transportation principles. The valorization of the academic environment represents nowadays one of the most important research challenges. In this paper, we present a collaborative filtering recommender system able to manage the work schedule’s assignment to straddle carrier’s drivers in a container terminal and provide preliminary results on customer’s satisfaction.
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    IS  - 1
    ER  - 

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Author Information
  • Department of Economics and Quantitative Methods and Computer, Institute of Companies Administration of Gafsa, Gafsa, Tunisia

  • Department of Computer Science, Mediterranean Institute of Nabeul, Nabeul, Tunisia

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