IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v186y2008i1p441-440.html
   My bibliography  Save this article

A factual observation on "Effective and simple EOQ-like solutions for stochastic demand periodic review systems"

Author

Listed:
  • Goyal, S.K.

Abstract

No abstract is available for this item.

Suggested Citation

  • Goyal, S.K., 2008. "A factual observation on "Effective and simple EOQ-like solutions for stochastic demand periodic review systems"," European Journal of Operational Research, Elsevier, vol. 186(1), pages 441-440, April.
  • Handle: RePEc:eee:ejores:v:186:y:2008:i:1:p:441-440
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(07)00184-1
    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. Robert W. Haessler & Steven L. Hogue, 1976. "Note--A Note on the Single-Machine Multi-Product Lot Scheduling Problem," Management Science, INFORMS, vol. 22(8), pages 909-912, April.
    2. Eynan, Amit & Kropp, Dean H., 2007. "Effective and simple EOQ-like solutions for stochastic demand periodic review systems," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1135-1143, August.
    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. Brander, Par & Forsberg, Rolf, 2006. "Determination of safety stocks for cyclic schedules with stochastic demands," International Journal of Production Economics, Elsevier, vol. 104(2), pages 271-295, December.
    2. Marcello Braglia & Davide Castellano & Marco Frosolini, 2016. "Joint-replenishment problem under stochastic demands with backorders-lost sales mixtures, controllable lead times, and investment to reduce the major ordering cost," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(8), pages 1108-1120, August.
    3. Young Hyeon Yang & Jong Soo Kim, 2020. "An adaptive joint replenishment policy for items with non-stationary demands," Operational Research, Springer, vol. 20(3), pages 1665-1684, September.
    4. Davide Castellano & Mosè Gallo & Liberatina C. Santillo, 2021. "A periodic review policy for a coordinated single vendor-multiple buyers supply chain with controllable lead time and distribution-free approach," 4OR, Springer, vol. 19(3), pages 347-388, September.
    5. Salvietti, Luciano & Smith, Neale R., 2008. "A profit-maximizing economic lot scheduling problem with price optimization," European Journal of Operational Research, Elsevier, vol. 184(3), pages 900-914, February.
    6. Cui, Ligang & Deng, Jie & Liu, Rui & Xu, Dongyang & Zhang, Yajun & Xu, Maozeng, 2020. "A stochastic multi-item replenishment and delivery problem with lead-time reduction initiatives and the solving methodologies," Applied Mathematics and Computation, Elsevier, vol. 374(C).
    7. Briskorn, Dirk & Zeise, Philipp & Packowski, Josef, 2016. "Quasi-fixed cyclic production schemes for multiple products with stochastic demand," European Journal of Operational Research, Elsevier, vol. 252(1), pages 156-169.
    8. Ji Seong Noh & Jong Soo Kim & Biswajit Sarkar, 2019. "Stochastic joint replenishment problem with quantity discounts and minimum order constraints," Operational Research, Springer, vol. 19(1), pages 151-178, March.
    9. Stefanny Ramirez & Laurence H. Brandenburg & Dario Bauso, 2023. "Coordinated Replenishment Game and Learning Under Time Dependency and Uncertainty of the Parameters," Dynamic Games and Applications, Springer, vol. 13(1), pages 326-352, March.
    10. Wagner, Bret J. & Davis, Darwin J., 2002. "A search heuristic for the sequence-dependent economic lot scheduling problem," European Journal of Operational Research, Elsevier, vol. 141(1), pages 133-146, August.
    11. Grznar, J. & Riggle, C., 1997. "An optimal algorithm for the basic period approach to the economic lot scheduling problem," Omega, Elsevier, vol. 25(3), pages 355-364, June.
    12. Beck, Fabian G. & Biel, Konstantin & Glock, Christoph H., 2019. "Integration of energy aspects into the economic lot scheduling problem," International Journal of Production Economics, Elsevier, vol. 209(C), pages 399-410.
    13. Sweety Gupta & Vinod Kumar Mishra, 2024. "Multi-item stochastic inventory model for deteriorating items with power demand pattern under partial backlogging and joint replenishment," Annals of Operations Research, Springer, vol. 341(2), pages 963-991, October.
    14. Banerjee, Avijit, 2009. "Simultaneous determination of multiproduct batch and full truckload shipment schedules," International Journal of Production Economics, Elsevier, vol. 118(1), pages 111-117, March.
    15. Silver, Edward A. & Robb, David J., 2008. "Some insights regarding the optimal reorder period in periodic review inventory systems," International Journal of Production Economics, Elsevier, vol. 112(1), pages 354-366, March.
    16. Dey, Oshmita & Chakraborty, Debjani, 2009. "Fuzzy periodic review system with fuzzy random variable demand," European Journal of Operational Research, Elsevier, vol. 198(1), pages 113-120, October.
    17. Olha Holovan & Oleksandr Oliynyk & Yevheniia Makazan, 2017. "Optimization of Inventory Management Logistic Model of the Machine-Building Enterprises," EconWorld Working Papers 17001, WERI-World Economic Research Institute, revised Feb 2017.
    18. Goyal, S. K., 1997. "Observation on the economic lot scheduling problem: Theory and practice," International Journal of Production Economics, Elsevier, vol. 50(1), pages 61-61, May.
    19. Wagner, Michael & Smits, Sanne R., 2004. "A local search algorithm for the optimization of the stochastic economic lot scheduling problem," International Journal of Production Economics, Elsevier, vol. 90(3), pages 391-402, August.
    20. Lagodimos, A.G. & Skouri, K. & Christou, I.T. & Chountalas, P.T., 2018. "The discrete-time EOQ model: Solution and implications," European Journal of Operational Research, Elsevier, vol. 266(1), pages 112-121.

    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:ejores:v:186:y:2008:i:1:p:441-440. 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/eor .

    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.