IDEAS home Printed from https://ideas.repec.org/a/spr/indpam/v47y2016i4d10.1007_s13226-016-0199-y.html
   My bibliography  Save this article

A numerical study on a nonlinear conservation law model pertaining to manufacturing system

Author

Listed:
  • Tanmay Sarkar

    (Indian Institute of Technology Madras)

Abstract

This paper deals with a numerical scheme applied to a conservation law model of manufacturing system incorporating yield loss. Yield loss involving a singular term has been considered. Even though an explicit form of the material density in a production system can be obtained under certain assumptions, in general, it is difficult to get an explicit form of the material density. On the other hand, the singular term in a conservation law model imposes severe challenges for the numerical approximations on regular grids. Moreover, an approximate solution often converges to a wrong weak solution. A finite volume type numerical scheme has been studied. The convergence of the numerical solution towards entropy solution (in the Kruzkov sense) is proved. Numerical experiments are presented to get the overview of density distribution and outflux of the system.

Suggested Citation

  • Tanmay Sarkar, 2016. "A numerical study on a nonlinear conservation law model pertaining to manufacturing system," Indian Journal of Pure and Applied Mathematics, Springer, vol. 47(4), pages 655-671, December.
  • Handle: RePEc:spr:indpam:v:47:y:2016:i:4:d:10.1007_s13226-016-0199-y
    DOI: 10.1007/s13226-016-0199-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13226-016-0199-y
    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/s13226-016-0199-y?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. Dieter Armbruster & Daniel E. Marthaler & Christian Ringhofer & Karl Kempf & Tae-Chang Jo, 2006. "A Continuum Model for a Re-entrant Factory," Operations Research, INFORMS, vol. 54(5), pages 933-950, October.
    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. Helbing, Dirk & Armbruster, Dieter & Mikhailov, Alexander S. & Lefeber, Erjen, 2006. "Information and material flows in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(1), pages 1-1.
    2. Klug, Florian, 2014. "Modelling and analysis of synchronised material flow with fluid dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 404-417.
    3. Apostolos Kotsialos, 2010. "A hydrodynamic modelling framework for production networks," Computational Management Science, Springer, vol. 7(1), pages 61-83, January.
    4. Пигнастый, Олег & Ходусов, Валерий, 2017. "Диффузионное Описание Производственного Процесса [Diffusion description of the production process]," MPRA Paper 89250, University Library of Munich, Germany, revised 01 Nov 2017.
    5. Pihnastyi, Oleh & Parachnevych, Oksana, 2018. "On the formulation of the problem of optimal control of production parameters using a two-level model of the production process," MPRA Paper 88761, University Library of Munich, Germany, revised 01 Sep 2018.
    6. Пигнастый, Олег, 2015. "О Выводе Кинетического Уравнения Производственного Процесса [Derivation of kinetic equations of the production process]," MPRA Paper 93529, University Library of Munich, Germany, revised 07 Aug 2015.
    7. Yang, Feng & Liu, Jingang, 2012. "Simulation-based transfer function modeling for transient analysis of general queueing systems," European Journal of Operational Research, Elsevier, vol. 223(1), pages 150-166.
    8. Herty, M. & Ringhofer, C., 2007. "Optimization for supply chain models with policies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 380(C), pages 651-664.
    9. Mapundi Banda & Michael Herty, 2012. "Adjoint IMEX-based schemes for control problems governed by hyperbolic conservation laws," Computational Optimization and Applications, Springer, vol. 51(2), pages 909-930, March.
    10. Pihnastyi, Oleh & Korsun, Roman, 2016. "The construction a kinetic equation of the production process," MPRA Paper 92073, University Library of Munich, Germany, revised 19 Mar 2016.
    11. Pihnastyi, Oleh & Yemelianova, Daria & Lysytsia, Dmytro, 2020. "Using PDE-model and system dynamics model for describing multi-operation production lines," MPRA Paper 103975, University Library of Munich, Germany, revised 31 Aug 2020.
    12. Pihnastyi, Oleh & Khodusov, Valery, 2019. "The optimal control problem for output material flow on a conveyor belt with input accumulating bunker," MPRA Paper 95928, University Library of Munich, Germany, revised 07 Jan 2019.
    13. Пигнастый, Олег, 2014. "Основы Статистической Теории Построения Континуальных Моделей Производственных Линий [Fundamentals Of The Statistical Theory Of The Construction Of Continuum Models Of Production Lines]," MPRA Paper 95240, University Library of Munich, Germany, revised 20 Aug 2014.
    14. Dong, Ming & He, Fenglan, 2012. "A new continuous model for multiple re-entrant manufacturing systems," European Journal of Operational Research, Elsevier, vol. 223(3), pages 659-668.

    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:indpam:v:47:y:2016:i:4:d:10.1007_s13226-016-0199-y. 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.