IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v186y2008i2p671-680.html
   My bibliography  Save this article

An effective heuristic for the review period in an inventory model with staggered deliveries and normal demands

Author

Listed:
  • Flynn, James

Abstract

No abstract is available for this item.

Suggested Citation

  • Flynn, James, 2008. "An effective heuristic for the review period in an inventory model with staggered deliveries and normal demands," European Journal of Operational Research, Elsevier, vol. 186(2), pages 671-680, April.
  • Handle: RePEc:eee:ejores:v:186:y:2008:i:2:p:671-680
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(07)00235-4
    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. Lian, Zhaotong & Deshmukh, Abhijit & Wang, Jin, 2006. "The optimal frozen period in a dynamic production model," International Journal of Production Economics, Elsevier, vol. 103(2), pages 648-655, October.
    2. Arthur F. Veinott, 1965. "The Optimal Inventory Policy for Batch Ordering," Operations Research, INFORMS, vol. 13(3), pages 424-432, June.
    3. James Flynn & Stanley Garstka, 1997. "The Optimal Review Period in a Dynamic Inventory Model," Operations Research, INFORMS, vol. 45(5), pages 736-750, October.
    4. James Flynn & Stanley Garstka, 1990. "A Dynamic Inventory Model with Periodic Auditing," Operations Research, INFORMS, vol. 38(6), pages 1089-1103, December.
    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. Hedenstierna, Carl Philip T. & Disney, Stephen M., 2016. "Inventory performance under staggered deliveries and autocorrelated demand," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1082-1091.
    2. Hedenstierna, Carl Philip T. & Disney, Stephen M., 2018. "Avoiding the capacity cost trap: Three means of smoothing under cyclical production planning," International Journal of Production Economics, Elsevier, vol. 201(C), pages 149-162.

    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. James Flynn, 2000. "Selecting T for a periodic review inventory model with staggered deliveries," Naval Research Logistics (NRL), John Wiley & Sons, vol. 47(4), pages 329-352, June.
    2. Lian, Zhaotong & Deshmukh, Abhijit & Wang, Jin, 2006. "The optimal frozen period in a dynamic production model," International Journal of Production Economics, Elsevier, vol. 103(2), pages 648-655, October.
    3. Hedenstierna, Carl Philip T. & Disney, Stephen M., 2016. "Inventory performance under staggered deliveries and autocorrelated demand," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1082-1091.
    4. Hedenstierna, Carl Philip T. & Disney, Stephen M., 2018. "Avoiding the capacity cost trap: Three means of smoothing under cyclical production planning," International Journal of Production Economics, Elsevier, vol. 201(C), pages 149-162.
    5. Xu, Kefeng & Leung, Mark T., 2009. "Stocking policy in a two-party vendor managed channel with space restrictions," International Journal of Production Economics, Elsevier, vol. 117(2), pages 271-285, February.
    6. Chiang, Chi, 2009. "A periodic review replenishment model with a refined delivery scenario," International Journal of Production Economics, Elsevier, vol. 118(1), pages 253-259, March.
    7. Lian, Zhaotong & Deshmukh, Abhijit, 2009. "Analysis of supply contracts with quantity flexibility," European Journal of Operational Research, Elsevier, vol. 196(2), pages 526-533, July.
    8. James Flynn, 2001. "Selecting review periods for a coordinated multi‐item inventory model with staggered deliveries," Naval Research Logistics (NRL), John Wiley & Sons, vol. 48(5), pages 430-449, August.
    9. Jing-Sheng Song, 2000. "A Note on Assemble-to-Order Systems with Batch Ordering," Management Science, INFORMS, vol. 46(5), pages 739-743, May.
    10. Lu Wang & Vidyadhar Kulkarni & Hanqin Zhang, 2023. "Inventory dispensation and restocking in multiclass inventory systems: A decoupling approach," Production and Operations Management, Production and Operations Management Society, vol. 32(2), pages 469-484, February.
    11. Almehdawe, Eman & Jewkes, Elizabeth, 2013. "Performance analysis and optimization of hybrid manufacturing systems under a batch ordering policy," International Journal of Production Economics, Elsevier, vol. 144(1), pages 200-208.
    12. Kochel, P., 2007. "Order optimisation in multi-location models with hub-and-spoke structure," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 368-387, July.
    13. Yu‐Sheng Zheng & Fangruo Chen, 1992. "Inventory policies with quantized ordering," Naval Research Logistics (NRL), John Wiley & Sons, vol. 39(3), pages 285-305, April.
    14. Li, Xiaoming, 2010. "Optimal inventory policies in decentralized supply chains," International Journal of Production Economics, Elsevier, vol. 128(1), pages 303-309, November.
    15. Ketzenberg, Michael & Metters, Richard & Vargas, Vicente, 2002. "Quantifying the benefits of breaking bulk in retail operations," International Journal of Production Economics, Elsevier, vol. 80(3), pages 249-263, December.
    16. Xiuli Chao & Sean X. Zhou, 2009. "Optimal Policy for a Multiechelon Inventory System with Batch Ordering and Fixed Replenishment Intervals," Operations Research, INFORMS, vol. 57(2), pages 377-390, April.
    17. Karel H. van Donselaar & Vishal Gaur & Tom van Woensel & Rob A. C. M. Broekmeulen & Jan C. Fransoo, 2010. "Ordering Behavior in Retail Stores and Implications for Automated Replenishment," Management Science, INFORMS, vol. 56(5), pages 766-784, May.
    18. Awi Federgruen & Min Wang, 2013. "Monotonicity properties of a class of stochastic inventory systems," Annals of Operations Research, Springer, vol. 208(1), pages 155-186, September.
    19. Yi Yang & Youhua (Frank) Chen & Yun Zhou, 2014. "Coordinating Inventory Control and Pricing Strategies Under Batch Ordering," Operations Research, INFORMS, vol. 62(1), pages 25-37, February.
    20. Cong Shi & Huanan Zhang & Xiuli Chao & Retsef Levi, 2014. "Approximation algorithms for capacitated stochastic inventory systems with setup costs," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(4), pages 304-319, June.

    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:2:p:671-680. 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.