IDEAS home Printed from https://ideas.repec.org/a/spr/metcap/v25y2023i1d10.1007_s11009-023-10003-8.html
   My bibliography  Save this article

Vessels Arrival Process and its Application to the SHIP/M/ $$\infty$$ ∞ Queue

Author

Listed:
  • Antonio Di Crescenzo

    (Università degli Studi di Salerno)

  • Barbara Martinucci

    (Università degli Studi di Salerno)

  • Paola Paraggio

    (Università degli Studi di Salerno)

Abstract

In modeling of port dynamics it seems reasonable to assume that the ships arrive on a somewhat scheduled basis and that there is a constant lay period during which, in a uniform way, each vessel can arrive at the port. In the present paper, we study the counting process N(t) which represents the number of scheduled vessels arriving during the time interval (0, t], $$t>0$$ t > 0 . Specifically, we provide the explicit expressions of the probability generating function, the probability distribution and the expected value of N(t). In some cases of interest, we also obtain the probability law of the stationary counting process representing the number of arrivals in a time interval of length t when the initial time is an arbitrarily chosen instant. This leads to various results concerning the autocorrelations of the random variables $$X_i$$ X i , $$i\in \mathbb {Z}$$ i ∈ Z , which give the actual interarrival time between the $$(i-1)$$ ( i - 1 ) -th and the i-th vessel arrival. Finally, we provide an application to a stochastic model for the queueing behavior at the port, given by a queueing system characterized by stationary interarrival times $$X_i$$ X i , exponential service times and an infinite number of servers. In this case, some results on the average number of customers and on the probability of an empty queue are disclosed.

Suggested Citation

  • Antonio Di Crescenzo & Barbara Martinucci & Paola Paraggio, 2023. "Vessels Arrival Process and its Application to the SHIP/M/ $$\infty$$ ∞ Queue," Methodology and Computing in Applied Probability, Springer, vol. 25(1), pages 1-33, March.
  • Handle: RePEc:spr:metcap:v:25:y:2023:i:1:d:10.1007_s11009-023-10003-8
    DOI: 10.1007/s11009-023-10003-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11009-023-10003-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11009-023-10003-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Goerlandt, Floris & Kujala, Pentti, 2011. "Traffic simulation based ship collision probability modeling," Reliability Engineering and System Safety, Elsevier, vol. 96(1), pages 91-107.
    2. Shaul K. Bar-Lev & Hans Blanc & Onno Boxma & Guido Janssen & David Perry, 2013. "Tandem Queues with Impatient Customers for Blood Screening Procedures," Methodology and Computing in Applied Probability, Springer, vol. 15(2), pages 423-451, June.
    3. Tayfur Altiok, 2000. "Tandem queues in bulk port operations," Annals of Operations Research, Springer, vol. 93(1), pages 1-14, January.
    4. Carlo Lancia & Gianluca Guadagni & Sokol Ndreca & Benedetto Scoppola, 2018. "Asymptotics for the late arrivals problem," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 88(3), pages 475-493, December.
    5. Dimitrakopoulos, Yiannis & Economou, Antonis & Leonardos, Stefanos, 2021. "Strategic customer behavior in a queueing system with alternating information structure," European Journal of Operational Research, Elsevier, vol. 291(3), pages 1024-1040.
    6. van Asperen, E. & Dekker, R. & Polman, M. & de Swaan Arons, H. & Waltman, L., 2003. "Arrival Processes for Vessels in a Port Simulation," ERIM Report Series Research in Management ERS-2003-067-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    7. G. Guadagni & S. Ndreca & B. Scoppola, 2011. "Queueing systems with pre-scheduled random arrivals," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 73(1), pages 1-18, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Carine Dominguez-Péry & Lakshmi Narasimha Raju Vuddaraju & Isabelle Corbett-Etchevers & Rana Tassabehji, 2021. "Reducing maritime accidents in ships by tackling human error: a bibliometric review and research agenda," Journal of Shipping and Trade, Springer, vol. 6(1), pages 1-32, December.
    2. Ünsal Özdoğru & Tayfur Altiok, 2015. "Continuous material flow systems: analysis of marine ports handling bulk materials," Annals of Operations Research, Springer, vol. 231(1), pages 79-104, August.
    3. Siddharth Prakash Singh & Mohammad Delasay & Alan Scheller‐Wolf, 2023. "Real‐time delay announcement under competition," Production and Operations Management, Production and Operations Management Society, vol. 32(3), pages 863-881, March.
    4. Tasos Nikoleris & Mark Hansen, 2012. "Queueing Models for Trajectory-Based Aircraft Operations," Transportation Science, INFORMS, vol. 46(4), pages 501-511, November.
    5. Caccavale, Maria Virginia & Iovanella, Antonio & Lancia, Carlo & Lulli, Guglielmo & Scoppola, Benedetto, 2014. "A model of inbound air traffic: The application to Heathrow airport," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 116-122.
    6. Goerlandt, Floris & Montewka, Jakub, 2015. "Maritime transportation risk analysis: Review and analysis in light of some foundational issues," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 115-134.
    7. J Montewka & P Krata & F Goerlandt & A Mazaheri & P Kujala, 2011. "Marine traffic risk modelling – an innovative approach and a case study," Journal of Risk and Reliability, , vol. 225(3), pages 307-322, September.
    8. Feng, Xuejun & Hu, Sangen & Gu, Weihua & Jin, Xin & Lu, Yuan, 2020. "A simulation-based approach for assessing seaside infrastructure improvement measures for large marine crude oil terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    9. Gwiggner, Claus & Nagaoka, Sakae, 2014. "Data and queueing analysis of a Japanese air-traffic flow," European Journal of Operational Research, Elsevier, vol. 235(1), pages 265-275.
    10. Silveira, P. & Teixeira, A.P. & Figueira, J.R. & Guedes Soares, C., 2021. "A multicriteria outranking approach for ship collision risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    11. Carlo Lancia & Gianluca Guadagni & Sokol Ndreca & Benedetto Scoppola, 2018. "Asymptotics for the late arrivals problem," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 88(3), pages 475-493, December.
    12. Tunçalp, Feray & Güneş, Evrim D. & Örmeci, E. Lerzan, 2024. "Modeling strategic walk-in patients in appointment systems: Equilibrium behavior and capacity allocation," European Journal of Operational Research, Elsevier, vol. 313(2), pages 587-601.
    13. Szlapczynski, Rafal & Szlapczynska, Joanna, 2021. "A ship domain-based model of collision risk for near-miss detection and Collision Alert Systems," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    14. Montewka, Jakub & Ehlers, Sören & Goerlandt, Floris & Hinz, Tomasz & Tabri, Kristjan & Kujala, Pentti, 2014. "A framework for risk assessment for maritime transportation systems—A case study for open sea collisions involving RoPax vessels," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 142-157.
    15. Zyczkowski, Marcin & Szlapczynski, Rafal, 2023. "Collision risk-informed weather routing for sailboats," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    16. Yunyue He & Zhong Liu & Jianmai Shi & Yishan Wang & Jiaming Zhang & Jinyuan Liu, 2015. "K-Shortest-Path-Based Evacuation Routing with Police Resource Allocation in City Transportation Networks," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-23, July.
    17. Xiang’en Bai & Tian Guan & Xiaofeng Xu & Yingjie Xiao, 2022. "Data Analysis and Decision on Navigation Safety of Yangshan Port Channel," Sustainability, MDPI, vol. 14(13), pages 1-20, June.
    18. Talavera, Alejandro & Aguasca, Ricardo & Galván, Blas & Cacereño, Andrés, 2013. "Application of Dempster–Shafer theory for the quantification and propagation of the uncertainty caused by the use of AIS data," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 95-105.
    19. Marcos Singer & Patricio Donoso & José Noguer, 2005. "Optimal Planning of a Multi-Station System with Sojourn Time Constraints," Annals of Operations Research, Springer, vol. 138(1), pages 203-222, September.
    20. Rong, H. & Teixeira, A.P. & Guedes Soares, C., 2021. "Spatial correlation analysis of near ship collision hotspots with local maritime traffic characteristics," Reliability Engineering and System Safety, Elsevier, vol. 209(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:metcap:v:25:y:2023:i:1:d:10.1007_s11009-023-10003-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.