IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v49y2001i1p99-106.html
   My bibliography  Save this article

Improving Repetitive Manufacturing Systems: Model and Insights

Author

Listed:
  • Scott Webster

    (School of Management, Syracuse University, Syracuse, New York 13244-2130)

  • Z. Kevin Weng

    (School of Business, University of Wisconsin-Madison, Madison, Wisconsin, 53706-1323)

Abstract

We consider a manufacturing system that is controlled by a fixed-cycle smoothed production policy. This policy, which is becoming increasingly common in repetitive manufacturing environments, is characterized by a production rate that is updated on a periodic basis. We model the system as a stochastic process that includes parameters for vendor responsiveness, plant responsiveness, randomness in production yield rates, nonstationarity and randomness in market demand, demand forecast error, operating cost rates, and safety stock. Properties of the model expose structural relationships between expected system performance and system parameters.

Suggested Citation

  • Scott Webster & Z. Kevin Weng, 2001. "Improving Repetitive Manufacturing Systems: Model and Insights," Operations Research, INFORMS, vol. 49(1), pages 99-106, February.
  • Handle: RePEc:inm:oropre:v:49:y:2001:i:1:p:99-106
    DOI: 10.1287/opre.49.1.99.11194
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.49.1.99.11194
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.49.1.99.11194?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
    ---><---

    References listed on IDEAS

    as
    1. Hongtao Zhang & Stephen C. Graves, 1997. "Cyclic Scheduling in a Stochastic Environment," Operations Research, INFORMS, vol. 45(6), pages 894-903, December.
    2. R. A. Bowman & J. A. Muckstadt, 1993. "Stochastic Analysis of Cyclic Schedules," Operations Research, INFORMS, vol. 41(5), pages 947-958, October.
    3. Gary D. Eppen & R. Kipp Martin, 1988. "Determining Safety Stock in the Presence of Stochastic Lead Time and Demand," Management Science, INFORMS, vol. 34(11), pages 1380-1390, November.
    4. Candace Arai Yano & Hau L. Lee, 1995. "Lot Sizing with Random Yields: A Review," Operations Research, INFORMS, vol. 43(2), pages 311-334, April.
    5. Eric V. Denardo & Christopher S. Tang, 1992. "Linear Control of a Markov Production System," Operations Research, INFORMS, vol. 40(2), pages 259-278, April.
    6. Allan B. Cruickshanks & Robert D. Drescher & Stephen C. Graves, 1984. "A Study of Production Smoothing in a Job Shop Environment," Management Science, INFORMS, vol. 30(3), pages 368-380, March.
    7. Christopher S. Tang, 1990. "The Impact of Uncertainty on a Production Line," Management Science, INFORMS, vol. 36(12), pages 1518-1531, December.
    8. Weng, Z. Kevin, 1998. "Managing production with flexible capacity deployment for serial multi-stage manufacturing systems," European Journal of Operational Research, Elsevier, vol. 109(3), pages 587-598, September.
    9. Stephen C. Graves, 1986. "A Tactical Planning Model for a Job Shop," Operations Research, INFORMS, vol. 34(4), pages 522-533, August.
    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. Peter M. Bernegger & Scott Webster, 2014. "Fixed-Cycle Smoothed Production Improves Lean Performance for Make-to-Stock Manufacturing," Interfaces, INFORMS, vol. 44(4), pages 411-427, August.

    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. L. Gong & H. Matsuo, 1997. "Control Policy for a Manufacturing System with Random Yield and Rework," Journal of Optimization Theory and Applications, Springer, vol. 95(1), pages 149-175, October.
    2. Weng, Z. Kevin, 1998. "Managing production with flexible capacity deployment for serial multi-stage manufacturing systems," European Journal of Operational Research, Elsevier, vol. 109(3), pages 587-598, September.
    3. Hadjinicola, George C. & Soteriou, Andreas C., 2003. "Reducing the cost of defects in multistage production systems: A budget allocation perspective," European Journal of Operational Research, Elsevier, vol. 145(3), pages 621-634, March.
    4. Kim, Ilhyung & Tang, Christopher S., 1997. "Lead time and response time in a pull production control system," European Journal of Operational Research, Elsevier, vol. 101(3), pages 474-485, September.
    5. John S. Hollywood, 2005. "An approximate planning model for distributed computing networks," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(6), pages 590-605, September.
    6. G C Hadjinicola, 2010. "Manufacturing costs in serial production systems with rework," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(2), pages 342-351, February.
    7. Rong Yuan & Stephen C. Graves, 2016. "Setting optimal production lot sizes and planned lead times in a job shop," International Journal of Production Research, Taylor & Francis Journals, vol. 54(20), pages 6105-6120, October.
    8. Ferrer, Geraldo, 2003. "Yield information and supplier responsiveness in remanufacturing operations," European Journal of Operational Research, Elsevier, vol. 149(3), pages 540-556, September.
    9. Ouyang, Yanfeng, 2007. "The effect of information sharing on supply chain stability and the bullwhip effect," European Journal of Operational Research, Elsevier, vol. 182(3), pages 1107-1121, November.
    10. Awi Federgruen & Nan Yang, 2014. "Infinite Horizon Strategies for Replenishment Systems with a General Pool of Suppliers," Operations Research, INFORMS, vol. 62(1), pages 141-159, February.
    11. Talay, Işılay & Özdemir-Akyıldırım, Öznur, 2019. "Optimal procurement and production planning for multi-product multi-stage production under yield uncertainty," European Journal of Operational Research, Elsevier, vol. 275(2), pages 536-551.
    12. Juhwen Hwang & Medini R. Singh, 1998. "Optimal Production Policies for Multi-Stage Systems with Setup Costs and Uncertain Capacities," Management Science, INFORMS, vol. 44(9), pages 1279-1294, September.
    13. 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.
    14. Voelkel, Michael A. & Sachs, Anna-Lena & Thonemann, Ulrich W., 2020. "An aggregation-based approximate dynamic programming approach for the periodic review model with random yield," European Journal of Operational Research, Elsevier, vol. 281(2), pages 286-298.
    15. Prak, Dennis & Teunter, Ruud & Syntetos, Aris, 2017. "On the calculation of safety stocks when demand is forecasted," European Journal of Operational Research, Elsevier, vol. 256(2), pages 454-461.
    16. Nathan Craig & Nicole DeHoratius & Ananth Raman, 2016. "The Impact of Supplier Inventory Service Level on Retailer Demand," Manufacturing & Service Operations Management, INFORMS, vol. 18(4), pages 461-474, October.
    17. Jan A. Van Mieghem & Nils Rudi, 2002. "Newsvendor Networks: Inventory Management and Capacity Investment with Discretionary Activities," Manufacturing & Service Operations Management, INFORMS, vol. 4(4), pages 313-335, August.
    18. Bordley, Robert & Beltramo, Mark & Blumenfeld, Dennis, 1999. "Consolidating distribution centers can reduce lost sales," International Journal of Production Economics, Elsevier, vol. 58(1), pages 57-61, January.
    19. Gahm, Christian & Uzunoglu, Aykut & Wahl, Stefan & Ganschinietz, Chantal & Tuma, Axel, 2022. "Applying machine learning for the anticipation of complex nesting solutions in hierarchical production planning," European Journal of Operational Research, Elsevier, vol. 296(3), pages 819-836.
    20. Peter J. H. Hulshof & Martijn R. K. Mes & Richard J. Boucherie & Erwin W. Hans, 2016. "Patient admission planning using Approximate Dynamic Programming," Flexible Services and Manufacturing Journal, Springer, vol. 28(1), pages 30-61, June.

    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:inm:oropre:v:49:y:2001:i:1:p:99-106. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.