IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v52y2004i5p707-722.html
   My bibliography  Save this article

Order Volatility and Supply Chain Costs

Author

Listed:
  • Fangruo Chen

    (Graduate School of Business, Columbia University, Uris Hall, 3022 Broadway, New York, New York 10027-6902)

  • Rungson Samroengraja

    (Pitney Bowes, Walter Wheeler Drive, MSC 1103, Stamford, Connecticut 06926)

Abstract

The bullwhip effect (amplification of order variance from a downstream stage in a supply chain to an upstream stage) is widely observed in practice, and is generally considered a major cause of supply chain inefficiencies. But are supply chains always better off with strategies that are designed to dampen the bullwhip effect? This paper considers a model where a single product is sold through multiple retail outlets. The retailers replenish their inventories from a factory, which in turn replenishes its own finished-goods inventory through production. The factory's production capacity is finite, and there are transportation economies of scale in replenishing the retailer inventories. We study two types of replenishment strategies that are widely used in practice, and show that a replenishment strategy that reduces the volatility of orders received by the factory does not necessarily reduce the total costs in the supply chain.

Suggested Citation

  • Fangruo Chen & Rungson Samroengraja, 2004. "Order Volatility and Supply Chain Costs," Operations Research, INFORMS, vol. 52(5), pages 707-722, October.
  • Handle: RePEc:inm:oropre:v:52:y:2004:i:5:p:707-722
    DOI: 10.1287/opre.1040.0132
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.1040.0132
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.1040.0132?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 & Sridhar Tayur, 1996. "A simple approximation for a multistage capacitated production‐inventory system," Naval Research Logistics (NRL), John Wiley & Sons, vol. 43(1), pages 41-58, February.
    2. Marc A. De Bodt & Stephen C. Graves, 1985. "Continuous-Review Policies for a Multi-Echelon Inventory Problem with Stochastic Demand," Management Science, INFORMS, vol. 31(10), pages 1286-1299, October.
    3. Paul Glasserman, 1997. "Bounds and Asymptotics for Planning Critical Safety Stocks," Operations Research, INFORMS, vol. 45(2), pages 244-257, April.
    4. 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.
    5. Stephen C. Graves, 1996. "A Multiechelon Inventory Model with Fixed Replenishment Intervals," Management Science, INFORMS, vol. 42(1), pages 1-18, January.
    6. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    7. Fangruo Chen & Yu-Sheng Zheng, 1997. "One-Warehouse Multiretailer Systems with Centralized Stock Information," Operations Research, INFORMS, vol. 45(2), pages 275-287, April.
    8. Fangruo Chen & Rungson Samroengraja, 2000. "A Staggered Ordering Policy for One-Warehouse, Multiretailer Systems," Operations Research, INFORMS, vol. 48(2), pages 281-293, April.
    9. Peter L. Jackson, 1988. "Stock Allocation in a Two-Echelon Distribution System Or "What to Do Until Your Ship Comes In"," Management Science, INFORMS, vol. 34(7), pages 880-895, July.
    10. Alan S. Blinder, 1986. "Can the Production Smoothing Model of Inventory Behavior be Saved?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(3), pages 431-453.
    11. Antony Svoronos & Paul Zipkin, 1988. "Estimating the Performance of Multi-Level Inventory Systems," Operations Research, INFORMS, vol. 36(1), pages 57-72, February.
    12. Blanchard, Olivier J, 1983. "The Production and Inventory Behavior of the American Automobile Industry," Journal of Political Economy, University of Chicago Press, vol. 91(3), pages 365-400, June.
    13. Awi Federgruen & Paul Zipkin, 1984. "Approximations of Dynamic, Multilocation Production and Inventory Problems," Management Science, INFORMS, vol. 30(1), pages 69-84, January.
    14. Gérard P. Cachon, 1999. "Managing Supply Chain Demand Variability with Scheduled Ordering Policies," Management Science, INFORMS, vol. 45(6), pages 843-856, June.
    15. Kahn, James A, 1987. "Inventories and the Volatility of Production," American Economic Review, American Economic Association, vol. 77(4), pages 667-679, September.
    16. 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.
    17. Fangruo Chen & Yu-Sheng Zheng, 1994. "Evaluating Echelon Stock (R, nQ) Policies in Serial Production/Inventory Systems with Stochastic Demand," Management Science, INFORMS, vol. 40(10), pages 1262-1275, October.
    18. Caplin, Andrew S, 1985. "The Variability of Aggregate Demand with (S, s) Inventory Policies," Econometrica, Econometric Society, vol. 53(6), pages 1395-1409, November.
    19. Gérard P. Cachon, 2001. "Exact Evaluation of Batch-Ordering Inventory Policies in Two-Echelon Supply Chains with Periodic Review," Operations Research, INFORMS, vol. 49(1), pages 79-98, February.
    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. Lai, Richard, 2005. "Bullwhip in a Spanish Shop," MPRA Paper 4758, University Library of Munich, Germany.
    2. Kevin H. Shang & Zhijie Tao & Sean X. Zhou, 2015. "Optimizing Reorder Intervals for Two-Echelon Distribution Systems with Stochastic Demand," Operations Research, INFORMS, vol. 63(2), pages 458-475, April.
    3. Nihat Altintas & Feryal Erhun & Sridhar Tayur, 2008. "Quantity Discounts Under Demand Uncertainty," Management Science, INFORMS, vol. 54(4), pages 777-792, April.
    4. Bian, Wenliang & Shang, Jennifer & Zhang, Juliang, 2016. "Two-way information sharing under supply chain competition," International Journal of Production Economics, Elsevier, vol. 178(C), pages 82-94.
    5. Wang, Xun & Disney, Stephen M., 2016. "The bullwhip effect: Progress, trends and directions," European Journal of Operational Research, Elsevier, vol. 250(3), pages 691-701.
    6. QU, Zhan & RAFF, Horst, 2023. "Two-part tariffs, inventory stockpiling, and the bullwhip effect," European Journal of Operational Research, Elsevier, vol. 308(1), pages 201-214.
    7. Özelkan, Ertunga C. & Lim, Churlzu & Adnan, Ziaul Haq, 2018. "Conditions of reverse bullwhip effect in pricing under joint decision of replenishment and pricing," International Journal of Production Economics, Elsevier, vol. 200(C), pages 207-223.
    8. Sheng Hao Zhang & Ki Ling Cheung, 2008. "Note--Replenishment Sequencing in a Supply Chain with Balanced Ordering," Manufacturing & Service Operations Management, INFORMS, vol. 10(2), pages 198-203, March.
    9. Kim, Ilhyung & Springer, Mark, 2008. "Measuring endogenous supply chain volatility: Beyond the bullwhip effect," European Journal of Operational Research, Elsevier, vol. 189(1), pages 172-193, 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. de Kok, Ton & Grob, Christopher & Laumanns, Marco & Minner, Stefan & Rambau, Jörg & Schade, Konrad, 2018. "A typology and literature review on stochastic multi-echelon inventory models," European Journal of Operational Research, Elsevier, vol. 269(3), pages 955-983.
    2. Gérard P. Cachon & Taylor Randall & Glen M. Schmidt, 2007. "In Search of the Bullwhip Effect," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 457-479, April.
    3. Li Chen & Hau L. Lee, 2012. "Bullwhip Effect Measurement and Its Implications," Operations Research, INFORMS, vol. 60(4), pages 771-784, August.
    4. Leon Yang Chu & Zuo-Jun Max Shen, 2010. "A Power-of-Two Ordering Policy for One-Warehouse Multiretailer Systems with Stochastic Demand," Operations Research, INFORMS, vol. 58(2), pages 492-502, April.
    5. Ton Hien Duc, Truong & Luong, Huynh Trung & Kim, Yeong-Dae, 2010. "Effect of the third-party warehouse on bullwhip effect and inventory cost in supply chains," International Journal of Production Economics, Elsevier, vol. 124(2), pages 395-407, April.
    6. Ki Ling Cheung & Warren H. Hausman, 2000. "An Exact Performance Evaluation for the Supplier in a Two-Echelon Inventory System," Operations Research, INFORMS, vol. 48(4), pages 646-653, August.
    7. Fangruo Chen & Rungson Samroengraja, 2000. "A Staggered Ordering Policy for One-Warehouse, Multiretailer Systems," Operations Research, INFORMS, vol. 48(2), pages 281-293, April.
    8. Chen, Frank Y. & Feng, Youyi & Simchi-Levi, David, 2002. "Uniform distribution of inventory positions in two-echelon periodic review systems with batch-ordering policies and interdependent demands," European Journal of Operational Research, Elsevier, vol. 140(3), pages 648-654, August.
    9. Lucy Gongtao Chen & Srinagesh Gavirneni, 2010. "Using Scheduled Ordering to Improve the Performance of Distribution Supply Chains," Management Science, INFORMS, vol. 56(9), pages 1615-1632, September.
    10. Isaksson, Olov H.D. & Seifert, Ralf W., 2016. "Quantifying the bullwhip effect using two-echelon data: A cross-industry empirical investigation," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 311-320.
    11. Duc, Truong Ton Hien & Luong, Huynh Trung & Kim, Yeong-Dae, 2008. "A measure of bullwhip effect in supply chains with a mixed autoregressive-moving average demand process," European Journal of Operational Research, Elsevier, vol. 187(1), pages 243-256, May.
    12. Wang, Xun & Disney, Stephen M., 2016. "The bullwhip effect: Progress, trends and directions," European Journal of Operational Research, Elsevier, vol. 250(3), pages 691-701.
    13. 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.
    14. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 2004. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 50(12_supple), pages 1875-1886, December.
    15. Li Chen & Wei Luo & Kevin Shang, 2017. "Measuring the Bullwhip Effect: Discrepancy and Alignment Between Information and Material Flows," Manufacturing & Service Operations Management, INFORMS, vol. 19(1), pages 36-51, February.
    16. Geng, Wei & Qiu, Minmin & Zhao, Xiaobo, 2010. "An inventory system with single distributor and multiple retailers: Operating scenarios and performance comparison," International Journal of Production Economics, Elsevier, vol. 128(1), pages 434-444, November.
    17. Alan S. Blinder & Louis J. Maccini, 1991. "Taking Stock: A Critical Assessment of Recent Research on Inventories," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 73-96, Winter.
    18. Woonghee Tim Huh & Ganesh Janakiraman & Mahesh Nagarajan, 2010. "Technical Note ---Capacitated Serial Inventory Systems: Sample Path and Stability Properties Under Base-Stock Policies," Operations Research, INFORMS, vol. 58(4-part-1), pages 1017-1022, August.
    19. Zhang, Xiaolong, 2004. "The impact of forecasting methods on the bullwhip effect," International Journal of Production Economics, Elsevier, vol. 88(1), pages 15-27, March.
    20. Marcel Fafchamps Jan Willem Gunning & Remco Oostendorp, "undated". "Inventories, Liquidity, and Contractual Risk in African Manufacturing," Working Papers 97020, Stanford University, Department of Economics.

    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:52:y:2004:i:5:p:707-722. 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.