IDEAS home Printed from https://ideas.repec.org/a/wly/navres/v43y1996i2p289-303.html
   My bibliography  Save this article

On the value of information in dynamic production/inventory problems under forecast evolution

Author

Listed:
  • Refik Güllü

Abstract

In this article we explore how total system costs and inventory positions are affected when forecasts are incorporated explicitly in production/inventory systems. We assume that forecasts for demand of a certain item are available in each period, and they evolve from one period to the next in accordance with an additive evolution model. In order to analyze the effects of the forecasts on the production/inventory system we compare the optimal ordering policy and the expected costs of the model that keeps forecasts with that of a comparable standard inventory model. We show that under mild assumptions the former yields lower expected costs and inventory levels than the latter. © 1996 John Wiley & Sons, Inc.

Suggested Citation

  • Refik Güllü, 1996. "On the value of information in dynamic production/inventory problems under forecast evolution," Naval Research Logistics (NRL), John Wiley & Sons, vol. 43(2), pages 289-303, March.
  • Handle: RePEc:wly:navres:v:43:y:1996:i:2:p:289-303
    DOI: 10.1002/(SICI)1520-6750(199603)43:23.0.CO;2-6
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/(SICI)1520-6750(199603)43:23.0.CO;2-6
    Download Restriction: no

    File URL: https://libkey.io/10.1002/(SICI)1520-6750(199603)43:23.0.CO;2-6?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. Yigal Gerchak & David Mossman, 1992. "On the Effect of Demand Randomness on Inventories and Costs," Operations Research, INFORMS, vol. 40(4), pages 804-807, August.
    2. Warren H. Hausman, 1969. "Sequential Decision Problems: A Model to Exploit Existing Forecasters," Management Science, INFORMS, vol. 16(2), pages 93-111, October.
    3. A. Federgruen & P. Zipkin, 1986. "An Inventory Model with Limited Production Capacity and Uncertain Demands II. The Discounted-Cost Criterion," Mathematics of Operations Research, INFORMS, vol. 11(2), pages 208-215, May.
    4. A. Federgruen & P. Zipkin, 1986. "An Inventory Model with Limited Production Capacity and Uncertain Demands I. The Average-Cost Criterion," Mathematics of Operations Research, INFORMS, vol. 11(2), pages 193-207, May.
    5. Bruce L. Miller, 1986. "Scarf's State Reduction Method, Flexibility, and a Dependent Demand Inventory Model," Operations Research, INFORMS, vol. 34(1), pages 83-90, February.
    6. Raymond A. Jacobs & Harvey M. Wagner, 1989. "Reducing Inventory System Costs by Using Robust Demand Estimators," Management Science, INFORMS, vol. 35(7), pages 771-787, July.
    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. Borga Deniz, 2012. "Inventory Control with Advance Demand Information When Demand is Intermittent," Business and Management Research, Business and Management Research, Sciedu Press, vol. 1(4), pages 35-45, December.

    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. Özalp Özer & Wei Wei, 2004. "Inventory Control with Limited Capacity and Advance Demand Information," Operations Research, INFORMS, vol. 52(6), pages 988-1000, December.
    2. Dimitris Bertsimas & Ioannis Ch. Paschalidis, 2001. "Probabilistic Service Level Guarantees in Make-to-Stock Manufacturing Systems," Operations Research, INFORMS, vol. 49(1), pages 119-133, February.
    3. Woonghee Tim Huh & Ganesh Janakiraman & Mahesh Nagarajan, 2016. "Capacitated Multiechelon Inventory Systems: Policies and Bounds," Manufacturing & Service Operations Management, INFORMS, vol. 18(4), pages 570-584, October.
    4. Sari, Kazim, 2010. "Exploring the impacts of radio frequency identification (RFID) technology on supply chain performance," European Journal of Operational Research, Elsevier, vol. 207(1), pages 174-183, November.
    5. James A. Rappold & John A. Muckstadt, 2000. "A computationally efficient approach for determining inventory levels in a capacitated multiechelon production‐distribution system," Naval Research Logistics (NRL), John Wiley & Sons, vol. 47(5), pages 377-398, August.
    6. Y. Boulaksil & J. C. Fransoo & T. Tan, 2017. "Capacity reservation and utilization for a manufacturer with uncertain capacity and demand," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(3), pages 689-709, July.
    7. Gullu, Refik, 1998. "Base stock policies for production/inventory problems with uncertain capacity levels," European Journal of Operational Research, Elsevier, vol. 105(1), pages 43-51, February.
    8. Awi Federgruen & Min Wang, 2015. "Inventory Models with Shelf-Age and Delay-Dependent Inventory Costs," Operations Research, INFORMS, vol. 63(3), pages 701-715, June.
    9. Paul Zipkin, 2008. "On the Structure of Lost-Sales Inventory Models," Operations Research, INFORMS, vol. 56(4), pages 937-944, August.
    10. Philip Kaminsky & Jayashankar M. Swaminathan, 2001. "Utilizing Forecast Band Refinement for Capacitated Production Planning," Manufacturing & Service Operations Management, INFORMS, vol. 3(1), pages 68-81, August.
    11. Lee, Jun-Yeon & Schwarz, Leroy B., 2009. "Leadtime management in a periodic-review inventory system: A state-dependent base-stock policy," European Journal of Operational Research, Elsevier, vol. 199(1), pages 122-129, November.
    12. Ioannis Ch. Paschalidis & Yong Liu, 2003. "Large Deviations-Based Asymptotics for Inventory Control in Supply Chains," Operations Research, INFORMS, vol. 51(3), pages 437-460, June.
    13. Berling, Peter & Eng-Larsson, Fredrik, 2017. "Environmental implications of transport contract choice - capacity investment and pricing under volume and capacity contracts," European Journal of Operational Research, Elsevier, vol. 261(1), pages 129-142.
    14. Xiuli Chao & Xiting Gong & Cong Shi & Chaolin Yang & Huanan Zhang & Sean X. Zhou, 2018. "Approximation Algorithms for Capacitated Perishable Inventory Systems with Positive Lead Times," Management Science, INFORMS, vol. 64(11), pages 5038-5061, November.
    15. van Houtum, G. J. & Inderfurth, K. & Zijm, W. H. M., 1996. "Materials coordination in stochastic multi-echelon systems," European Journal of Operational Research, Elsevier, vol. 95(1), pages 1-23, November.
    16. Jian Yang & Zhaoqiong Qin, 2007. "Capacitated Production Control with Virtual Lateral Transshipments," Operations Research, INFORMS, vol. 55(6), pages 1104-1119, December.
    17. Jakšič Marko & Rusjan Borut, 2009. "Heuristic Approach to Inventory Control with Advance Capacity Information," Organizacija, Sciendo, vol. 42(4), pages 129-136, July.
    18. Katia C. Frank & Hyun‐Soo Ahn & Rachel Q. Zhang, 2009. "Inventory policies for a make‐to‐order system with a perishable component and fixed ordering cost," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(2), pages 127-141, March.
    19. Xinxin Hu & Izak Duenyas & Roman Kapuscinski, 2008. "Optimal Joint Inventory and Transshipment Control Under Uncertain Capacity," Operations Research, INFORMS, vol. 56(4), pages 881-897, August.
    20. Alireza Kabirian, 2012. "The economic production and pricing model with lot-size-dependent production cost," Journal of Global Optimization, Springer, vol. 54(1), pages 1-15, September.

    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:wly:navres:v:43:y:1996:i:2:p:289-303. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1520-6750 .

    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.