IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v110y2007i1-2p138-146.html
   My bibliography  Save this article

Autocorrelation in queuing network-type production systems--Revisited

Author

Listed:
  • Hejn Nielsen, Erland

Abstract

No abstract is available for this item.

Suggested Citation

  • Hejn Nielsen, Erland, 2007. "Autocorrelation in queuing network-type production systems--Revisited," International Journal of Production Economics, Elsevier, vol. 110(1-2), pages 138-146, October.
    • Handle: RePEc:eee:proeco:v:110:y:2007:i:1-2:p:138-146
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925-5273(07)00087-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Marne C. Cario & Barry L. Nelson, 1998. "Numerical Methods for Fitting and Simulating Autoregressive-to-Anything Processes," INFORMS Journal on Computing, INFORMS, vol. 10(1), pages 72-81, February.
    2. Miron Livny & Benjamin Melamed & Athanassios K. Tsiolis, 1993. "The Impact of Autocorrelation on Queuing Systems," Management Science, INFORMS, vol. 39(3), pages 322-339, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Petra Tomanová & Vladimír Holý, 2021. "Clustering of arrivals in queueing systems: autoregressive conditional duration approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(3), pages 859-874, September.

    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. Nielsen, Erland Hejn, 2004. "Streams of events and performance of queuing systems: The basic anatomy of arrival/departure processes, when focus is set on autocorrelation," CORAL Working Papers L-2004-02, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    2. Girish, Muckai K. & Hu, Jian-Qiang, 2001. "Approximations for the departure process of the G/G/1 queue with Markov-modulated arrivals," European Journal of Operational Research, Elsevier, vol. 134(3), pages 540-556, November.
    3. Chen, Huifen & Cheng, Yuyen, 2009. "Designing charts for known autocorrelations and unknown marginal distribution," European Journal of Operational Research, Elsevier, vol. 198(2), pages 520-529, October.
    4. Kalema, George & Molenberghs, Geert, 2016. "Generating Correlated and/or Overdispersed Count Data: A SAS Implementation," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 70(c01).
    5. Max Auerswald & Morten Moshagen, 2015. "Generating Correlated, Non-normally Distributed Data Using a Non-linear Structural Model," Psychometrika, Springer;The Psychometric Society, vol. 80(4), pages 920-937, December.
    6. He, Miao & Zhao, Lei & Powell, Warren B., 2012. "Approximate dynamic programming algorithms for optimal dosage decisions in controlled ovarian hyperstimulation," European Journal of Operational Research, Elsevier, vol. 222(2), pages 328-340.
    7. David Heath & Sidney Resnick & Gennady Samorodnitsky, 1998. "Heavy Tails and Long Range Dependence in On/Off Processes and Associated Fluid Models," Mathematics of Operations Research, INFORMS, vol. 23(1), pages 145-165, February.
    8. Kaeyoung Shin & Raghu Pasupathy, 2010. "An Algorithm for Fast Generation of Bivariate Poisson Random Vectors," INFORMS Journal on Computing, INFORMS, vol. 22(1), pages 81-92, February.
    9. Mohamed A. Ayadi & Hatem Ben-Ameur & Nabil Channouf & Quang Khoi Tran, 2019. "NORTA for portfolio credit risk," Annals of Operations Research, Springer, vol. 281(1), pages 99-119, October.
    10. Soumyadip Ghosh & Raghu Pasupathy, 2012. "C-NORTA: A Rejection Procedure for Sampling from the Tail of Bivariate NORTA Distributions," INFORMS Journal on Computing, INFORMS, vol. 24(2), pages 295-310, May.
    11. Li, Y. & Zhu, M. & Klein, R. & Kong, N., 2014. "Using a partially observable Markov chain model to assess colonoscopy screening strategies – A cohort study," European Journal of Operational Research, Elsevier, vol. 238(1), pages 313-326.
    12. Bahar Biller & Barry L. Nelson, 2005. "Fitting Time-Series Input Processes for Simulation," Operations Research, INFORMS, vol. 53(3), pages 549-559, June.
    13. Miao He & Lei Zhao & Warren Powell, 2010. "Optimal control of dosage decisions in controlled ovarian hyperstimulation," Annals of Operations Research, Springer, vol. 178(1), pages 223-245, July.
    14. Heejung Park, 2022. "A Unit Commitment Model Considering Feasibility of Operating Reserves under Stochastic Optimization Framework," Energies, MDPI, vol. 15(17), pages 1-22, August.
    15. Civelek, Ismail & Biller, Bahar & Scheller-Wolf, Alan, 2021. "Impact of dependence on single-server queueing systems," European Journal of Operational Research, Elsevier, vol. 290(3), pages 1031-1045.
    16. Marne C. Cario & Barry L. Nelson, 1998. "Numerical Methods for Fitting and Simulating Autoregressive-to-Anything Processes," INFORMS Journal on Computing, INFORMS, vol. 10(1), pages 72-81, February.
    17. Van Nyen, Pieter L. M. & Van Ooijen, Henny P. G. & Bertrand, J.W.M.J. Will M., 2004. "Simulation results on the performance of Albin and Whitt's estimation method for waiting times in integrated production-inventory systems," International Journal of Production Economics, Elsevier, vol. 90(2), pages 237-249, July.
    18. Heejung Park, 2020. "Generation Capacity Expansion Planning Considering Hourly Dynamics of Renewable Resources," Energies, MDPI, vol. 13(21), pages 1-15, October.
    19. Li, Ming, 2017. "Record length requirement of long-range dependent teletraffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 472(C), pages 164-187.
    20. Petra Tomanová & Vladimír Holý, 2021. "Clustering of arrivals in queueing systems: autoregressive conditional duration approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(3), pages 859-874, September.

    More about this item

    Statistics

    Access and download statistics

    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:eee:proeco:v:110:y:2007:i:1-2:p:138-146. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.