IDEAS home Printed from https://ideas.repec.org/a/spr/mathme/v45y1997i3p455-481.html

Using information about machine failures to control flowlines

Author

Listed:
  • C. Roger Glassey
  • Sridhar Seshadri
  • J. Shanthikumar

Abstract

We study the problem of using information about the type of machine failures to control production. When each station in a two stage flowline has a single machine, the processing time distributions are Erlang, and the time to fail as well repair a machine are exponentially distributed; we show that the optimal policy for controlling the flowline is completely specified by selecting a produce up to level called threshold level corresponding to each type of machine failure. These threshold levels are shown to be ordered as per the rate at which the failed downstream station can be repaired. These results are partially extended to the case when there are multiple machines at the two stations of the flowline. We then summarize numerical results that illustrate when it is worth while to use information about failures in controlling inputs to the flowline. Copyright Physica-Verlag 1997

Suggested Citation

  • C. Roger Glassey & Sridhar Seshadri & J. Shanthikumar, 1997. "Using information about machine failures to control flowlines," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 45(3), pages 455-481, October.
  • Handle: RePEc:spr:mathme:v:45:y:1997:i:3:p:455-481
    DOI: 10.1007/BF01194790
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF01194790
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF01194790?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Raman K. Nurani & Sridhar Seshadri & J. George Shanthikumar, 1997. "Optimal Control of a Single Stage Production System Subject to Random Process Shifts," Operations Research, INFORMS, vol. 45(5), pages 713-724, October.
    2. Sridhar Seshadri & J. G. Shanthikumar, 1997. "Allocation of Chips to Wafers in a Production Problem of Semiconductor Kits," Operations Research, INFORMS, vol. 45(2), pages 315-321, April.
    3. J. Michael Harrison & Lawrence M. Wein, 1990. "Scheduling Networks of Queues: Heavy Traffic Analysis of a Two-Station Closed Network," Operations Research, INFORMS, vol. 38(6), pages 1052-1064, December.
    4. Lawrence M. Wein, 1990. "Optimal Control of a Two-Station Brownian Network," Mathematics of Operations Research, INFORMS, vol. 15(2), pages 215-242, May.
    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. Bertsimas, Dimitris & Paschalidis, Ioannis Ch. & Tsitsiklis, John N., 1992. "Optimization of multiclass queuing networks : polyhedral and nonlinear characterizations of achievable performance," Working papers 3509-92., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. Martin I. Reiman & Lawrence M. Wein, 1998. "Dynamic Scheduling of a Two-Class Queue with Setups," Operations Research, INFORMS, vol. 46(4), pages 532-547, August.
    3. S. P. Sethi & H. Yan & H. Zhang & Q. Zhang, 2002. "Optimal and Hierarchical Controls in Dynamic Stochastic Manufacturing Systems: A Survey," Manufacturing & Service Operations Management, INFORMS, vol. 4(2), pages 133-170.
    4. Santiago R. Balseiro & David B. Brown & Chen Chen, 2021. "Dynamic Pricing of Relocating Resources in Large Networks," Management Science, INFORMS, vol. 67(7), pages 4075-4094, July.
    5. Armero, Carmen & Conesa, David, 2004. "Statistical performance of a multiclass bulk production queueing system," European Journal of Operational Research, Elsevier, vol. 158(3), pages 649-661, November.
    6. Wendell G. Gilland, 2001. "Effective Sequencing Rules for Closed Manufacturing Networks," Operations Research, INFORMS, vol. 49(5), pages 759-770, October.
    7. Sridhar Seshadri & Jayashankar M. Swaminathan, 2003. "A componentwise index of service measurement in multi‐component systems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(2), pages 184-194, March.
    8. Barış Ata & Ebru Kaşıkaralar, 2026. "Dynamic Scheduling of a Multiclass Queue in the Halfin–Whitt Regime: A Computational Approach for High-Dimensional Problems," Management Science, INFORMS, vol. 72(7), pages 6309-6333, July.
    9. R.E. Lillo, 2001. "Optimal control of an M/G/1 queue with impatient priority customers," Naval Research Logistics (NRL), John Wiley & Sons, vol. 48(3), pages 201-209, April.
    10. Barış Ata & Nasser Barjesteh, 2023. "An Approximate Analysis of Dynamic Pricing, Outsourcing, and Scheduling Policies for a Multiclass Make-to-Stock Queue in the Heavy Traffic Regime," Operations Research, INFORMS, vol. 71(1), pages 341-357, January.
    11. Paul Glasserman & Yashan Wang, 1999. "Fill-Rate Bottlenecks in Production-Inventory Networks," Manufacturing & Service Operations Management, INFORMS, vol. 1(1), pages 62-76.
    12. 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.
    13. Barιş Ata & Deishin Lee & Erkut Sönmez, 2019. "Dynamic Volunteer Staffing in Multicrop Gleaning Operations," Operations Research, INFORMS, vol. 67(2), pages 295-314, March.
    14. Ick-Hyun Nam, 2001. "Dynamic Scheduling for a Flexible Processing Network," Operations Research, INFORMS, vol. 49(2), pages 305-315, April.
    15. Baris Ata & Deishin Lee & Mustafa Hayri Tongarlak, 2024. "A diffusion model of dynamic participant inflow management," Queueing Systems: Theory and Applications, Springer, vol. 108(3), pages 383-414, December.
    16. Alain Bensoussan & Metin Çakanyıldırım & Meng Li & Suresh Sethi, 2025. "Inventory model with incomplete information: sales and zero-balance signals," 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. 33(2), pages 571-584, June.
    17. Heng-Qing Ye, 2025. "Optimal Routing to Parallel Servers in Heavy Traffic," Operations Research, INFORMS, vol. 73(1), pages 483-509, January.
    18. Subba Rao, S. & Gunasekaran, A. & Goyal, S. K. & Martikainen, T., 1998. "Waiting line model applications in manufacturing," International Journal of Production Economics, Elsevier, vol. 54(1), pages 1-28, January.
    19. Gregory Dobson & Tolga Tezcan & Vera Tilson, 2013. "Optimal Workflow Decisions for Investigators in Systems with Interruptions," Management Science, INFORMS, vol. 59(5), pages 1125-1141, May.
    20. Baris Ata & Mustafa H. Tongarlak & Deishin Lee & Joy Field, 2024. "A Dynamic Model for Managing Volunteer Engagement," Operations Research, INFORMS, vol. 72(5), pages 1958-1975, September.

    More about this item

    Keywords

    ;
    ;
    ;

    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:spr:mathme:v:45:y:1997:i:3:p:455-481. 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.