IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v44y1998i7p950-961.html
   My bibliography  Save this article

Optimal Production and Inventory Policy for Multiple Products Under Resource Constraints

Author

Listed:
  • Gregory A. DeCroix

    (School of Business Administration, University of Washington, Seattle, Washington 98195)

  • Antonio Arreola-Risa

    (Lowry Mays College and Graduate School of Business, Texas A&M University, College Station, Texas 77843-4217)

Abstract

We show that a modified base-stock policy is optimal for multiproduct, infinite-horizon production-inventory systems, where demand for the products is random and the products share a finite resource every period. We characterize the optimal policy for the case of homogeneous products. Because of the difficulty in computing the optimal base-stock levels for the heterogeneous case, we propose a heuristic that is simple enough for practical applications. We present numerical results that suggest that the heuristic yields near-optimal solutions.

Suggested Citation

  • Gregory A. DeCroix & Antonio Arreola-Risa, 1998. "Optimal Production and Inventory Policy for Multiple Products Under Resource Constraints," Management Science, INFORMS, vol. 44(7), pages 950-961, July.
  • Handle: RePEc:inm:ormnsc:v:44:y:1998:i:7:p:950-961
    DOI: 10.1287/mnsc.44.7.950
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.44.7.950
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.44.7.950?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. Paul Glasserman, 1996. "Allocating Production Capacity Among Multiple Products," Operations Research, INFORMS, vol. 44(5), pages 724-734, October.
    2. Frank W. Ciarallo & Ramakrishna Akella & Thomas E. Morton, 1994. "A Periodic Review, Production Planning Model with Uncertain Capacity and Uncertain Demand---Optimality of Extended Myopic Policies," Management Science, INFORMS, vol. 40(3), pages 320-332, March.
    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. Jian Yang & Zhaoqiong Qin, 2007. "Capacitated Production Control with Virtual Lateral Transshipments," Operations Research, INFORMS, vol. 55(6), pages 1104-1119, December.
    2. Yan, Xiaoming & Zhang, Minghui & Liu, Ke, 2010. "A note on coordination in decentralized assembly systems with uncertain component yields," European Journal of Operational Research, Elsevier, vol. 205(2), pages 469-478, September.
    3. 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.
    4. Kaijie Zhu & Ulrich W. Thonemann, 2009. "Coordination of pricing and inventory control across products," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(2), pages 175-190, March.
    5. Kutzner, Sarah C. & Kiesmüller, Gudrun P., 2013. "Optimal control of an inventory-production system with state-dependent random yield," European Journal of Operational Research, Elsevier, vol. 227(3), pages 444-452.
    6. 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.
    7. 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.
    8. 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.
    9. Nicholas G. Hall & Marc E. Posner & Chris N. Potts, 2021. "Online production planning to maximize the number of on-time orders," Annals of Operations Research, Springer, vol. 298(1), pages 249-269, March.
    10. Cheong, Taesu & Song, Sang Hwa, 2013. "The value of information on supply risk under random yields," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 60(C), pages 27-38.
    11. Oben Ceryan & Ozge Sahin & Izak Duenyas, 2013. "Dynamic Pricing of Substitutable Products in the Presence of Capacity Flexibility," Manufacturing & Service Operations Management, INFORMS, vol. 15(1), pages 86-101, April.
    12. Lee, Chungseung & Park, Kun Soo, 2016. "Inventory and transshipment decisions in the rationing game under capacity uncertainty," Omega, Elsevier, vol. 65(C), pages 82-97.
    13. Serel, Doğan A., 2017. "A single-period stocking and pricing problem involving stochastic emergency supply," International Journal of Production Economics, Elsevier, vol. 185(C), pages 180-195.
    14. 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.
    15. Bora Kat & Zeynep Avṣar, 2011. "Using aggregate fill rate for dynamic scheduling of multi-class systems," Annals of Operations Research, Springer, vol. 182(1), pages 87-117, January.
    16. Gel, Esma S. & Salman, F. Sibel, 2022. "Dynamic ordering decisions with approximate learning of supply yield uncertainty," International Journal of Production Economics, Elsevier, vol. 243(C).
    17. Zhu, Stuart X., 2013. "Dynamic replenishment, production, and pricing decisions, in the face of supply disruption and random price-sensitive demand," International Journal of Production Economics, Elsevier, vol. 146(2), pages 612-619.
    18. Sarah Parlane & Ying-Yi Tsai, 2017. "Optimal Management of Supply Disruptions when Contracting with Unreliable, Risk-averse, Suppliers," Working Papers 201714, School of Economics, University College Dublin.
    19. Jakšič, M. & Fransoo, J.C., 2018. "Dual sourcing in the age of near-shoring: Trading off stochastic capacity limitations and long lead times," European Journal of Operational Research, Elsevier, vol. 267(1), pages 150-161.
    20. Hariga, Moncer & Haouari, Mohamed, 1999. "An EOQ lot sizing model with random supplier capacity," International Journal of Production Economics, Elsevier, vol. 58(1), pages 39-47, January.

    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:ormnsc:v:44:y:1998:i:7:p:950-961. 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.