IDEAS home Printed from https://ideas.repec.org/a/eee/jomega/v34y2006i5p427-438.html
   My bibliography  Save this article

Sharing shipment quantity information in the supply chain

Author

Listed:
  • Zhang, Cheng
  • Tan, Gek-Woo
  • Robb, David J.
  • Zheng, Xin

Abstract

This paper evaluates the benefit of a strategy of sharing shipment information, where one stage in a supply chain shares shipment quantity information with its immediate downstream customers--a practice also known as advanced shipping notice. Under a periodic review inventory policy, one supply-chain member places an order on its supplier every period. However, due to supplier's imperfect service, the supplier cannot always exactly satisfy what the customer orders on time. In particular, shipment quantities arriving at the customer, after a given lead-time, may be less (possibly more) than what the customer expects--we define this phenomenon as shipment quantity uncertainty. Where shipment quantity information is not shared with customers, the only way to respond is through safety stock. However, if the supplier shares such information, i.e. customers are informed every period of the shipment quantity dispatched, the customer may have enough time to adapt and resolve this uncertainty by adjusting its future order decisions. Our results indicate that in most circumstances this strategy, enabled by information technologies, helps supply-chain members resolve shipment quantity uncertainty well. This study provides an approach to quantify the value of shared shipment information and to help supply-chain members evaluate the cost-benefit trade-off during information system construction. Numerical examples are provided to indicate the impact of demand/shipment parameters on strategy implementation. While previous studies mainly focus on the information receiver's perspective, we evaluate a more general three-tier linear supply chain model via simulation, studying how this strategy affects the whole supply chain: the information sender, the information receiver and the subsequent downstream tier.

Suggested Citation

  • Zhang, Cheng & Tan, Gek-Woo & Robb, David J. & Zheng, Xin, 2006. "Sharing shipment quantity information in the supply chain," Omega, Elsevier, vol. 34(5), pages 427-438, October.
  • Handle: RePEc:eee:jomega:v:34:y:2006:i:5:p:427-438
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0305-0483(05)00004-6
    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. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
    2. Gerchak, Yigal & Parlar, Mahmut, 1991. "Investing in reducing lead-time randomness in continuous-review inventory models," Engineering Costs and Production Economics, Elsevier, vol. 21(2), pages 191-197, May.
    3. 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.
    4. Diehl, Ernst & Sterman, John D., 1995. "Effects of Feedback Complexity on Dynamic Decision Making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 62(2), pages 198-215, May.
    5. Jing-Sheng Song, 1994. "The Effect of Leadtime Uncertainty in a Simple Stochastic Inventory Model," Management Science, INFORMS, vol. 40(5), pages 603-613, May.
    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. Wang, John & Yan, Ruiliang & Hollister, Kimberly & Zhu, Dan, 2008. "A historic review of management science research in China," Omega, Elsevier, vol. 36(6), pages 919-932, December.
    2. A. V. Thomas & Biswajit Mahanty, 2021. "Dynamic assessment of control system designs of information shared supply chain network experiencing supplier disruption," Operational Research, Springer, vol. 21(1), pages 425-451, March.
    3. Alma Spaho, Thoma Mitre, 2012. "Supply Chain Management in Albania: An Empirical Study," EuroEconomica, Danubius University of Galati, issue 1(31), pages 17-24, February.
    4. Wu, Jianghua & Zhai, Xin & Huang, Zhimin, 2008. "Incentives for information sharing in duopoly with capacity constraints," Omega, Elsevier, vol. 36(6), pages 963-975, December.
    5. Qrunfleh, Sufian & Tarafdar, Monideepa, 2014. "Supply chain information systems strategy: Impacts on supply chain performance and firm performance," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 340-350.
    6. Yao, Dong-Qing & Yue, Xiaohang & Mukhopadhyay, Samar K. & Wang, Ziping, 2009. "Strategic inventory deployment for retail and e-tail stores," Omega, Elsevier, vol. 37(3), pages 646-658, June.
    7. Wang, Jian-Cai & Lau, Hon-Shiang & Lau, Amy Hing Ling, 2009. "When should a manufacturer share truthful manufacturing cost information with a dominant retailer?," European Journal of Operational Research, Elsevier, vol. 197(1), pages 266-286, August.
    8. Van Belle, Jente & Guns, Tias & Verbeke, Wouter, 2021. "Using shared sell-through data to forecast wholesaler demand in multi-echelon supply chains," European Journal of Operational Research, Elsevier, vol. 288(2), pages 466-479.
    9. Trapero, Juan R. & Kourentzes, N. & Fildes, R., 2012. "Impact of information exchange on supplier forecasting performance," Omega, Elsevier, vol. 40(6), pages 738-747.
    10. Pan, Kewen & Lai, K.K. & Liang, L. & Leung, Stephen C.H., 2009. "Two-period pricing and ordering policy for the dominant retailer in a two-echelon supply chain with demand uncertainty," Omega, Elsevier, vol. 37(4), pages 919-929, August.
    11. Alma Spaho, 2011. "Determinants of Information Sharing in Supply Chain among Manufacturing and Trading companies in Albania: A Discriminant Analysis," EuroEconomica, Danubius University of Galati, issue 29, pages 75-85, August.
    12. Alawneh, Fawzat & Zhang, Guoqing, 2018. "Dual-channel warehouse and inventory management with stochastic demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 84-106.
    13. Wen-Tsung Ho & Jason Chao-Hsien Pan & Yu-Cheng Hsiao, 2012. "Optimizing Multi-stage Production for an Assembly-Type Supply Chain with Unequal Sized Batch Shipments," Journal of Optimization Theory and Applications, Springer, vol. 153(2), pages 513-531, May.
    14. Pan, Feng & Nagi, Rakesh, 2013. "Multi-echelon supply chain network design in agile manufacturing," Omega, Elsevier, vol. 41(6), pages 969-983.
    15. Jairo R. Montoya-Torres & Diego A. Ortiz-Vargas, 2014. "Collaboration and information sharing in dyadic supply chains: A literature review over the period 2000–2012," Estudios Gerenciales, Universidad Icesi, November.
    16. Sener, Abdurrezzak & Barut, Mehmet & Oztekin, Asil & Avcilar, Mutlu Yuksel & Yildirim, Mehmet Bayram, 2019. "The role of information usage in a retail supply chain: A causal data mining and analytical modeling approach," Journal of Business Research, Elsevier, vol. 99(C), pages 87-104.
    17. Lau, Amy Hing Ling & Lau, Hon-Shiang & Wang, Jian-Cai, 2008. "How a dominant retailer might design a purchase contract for a newsvendor-type product with price-sensitive demand," European Journal of Operational Research, Elsevier, vol. 190(2), pages 443-458, October.
    18. Yi Tao & Loo Hay Lee & Ek Peng Chew, 2016. "Quantifying the Effect of Sharing Information in a Supply Chain Facing Supply Disruptions," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(04), pages 1-28, 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. Fang, Xin & Zhang, Cheng & Robb, David J. & Blackburn, Joseph D., 2013. "Decision support for lead time and demand variability reduction," Omega, Elsevier, vol. 41(2), pages 390-396.
    2. Rachel Croson & Karen Donohue, 2006. "Behavioral Causes of the Bullwhip Effect and the Observed Value of Inventory Information," Management Science, INFORMS, vol. 52(3), pages 323-336, March.
    3. So, Kut C. & Zheng, Xiaona, 2003. "Impact of supplier's lead time and forecast demand updating on retailer's order quantity variability in a two-level supply chain," International Journal of Production Economics, Elsevier, vol. 86(2), pages 169-179, November.
    4. Michna, Zbigniew & Disney, Stephen M. & Nielsen, Peter, 2020. "The impact of stochastic lead times on the bullwhip effect under correlated demand and moving average forecasts," Omega, Elsevier, vol. 93(C).
    5. Zbigniew Michna & Peter Nielsen, 2013. "The impact of lead time forecasting on the bullwhip effect," Papers 1309.7374, arXiv.org, revised Jul 2015.
    6. Pastore, Erica & Alfieri, Arianna & Zotteri, Giulio, 2019. "An empirical investigation on the antecedents of the bullwhip effect: Evidence from the spare parts industry," International Journal of Production Economics, Elsevier, vol. 209(C), pages 121-133.
    7. Sohn, So Young & Lim, Michael, 2008. "The effect of forecasting and information sharing in SCM for multi-generation products," European Journal of Operational Research, Elsevier, vol. 186(1), pages 276-287, April.
    8. Ma, Yungao & Wang, Nengmin & He, Zhengwen & Lu, Jizhou & Liang, Huigang, 2015. "Analysis of the bullwhip effect in two parallel supply chains with interacting price-sensitive demands," European Journal of Operational Research, Elsevier, vol. 243(3), pages 815-825.
    9. Ananth V. Iyer & Apurva Jain, 2003. "The Logistics Impact of a Mixture of Order-Streams in a Manufacturer-Retailer System," Management Science, INFORMS, vol. 49(7), pages 890-906, July.
    10. Lai, Kee-hung & Wong, Christina W.Y. & Lam, Jasmine Siu Lee, 2015. "Sharing environmental management information with supply chain partners and the performance contingencies on environmental munificence," International Journal of Production Economics, Elsevier, vol. 164(C), pages 445-453.
    11. Li Chen & Hau L. Lee, 2012. "Bullwhip Effect Measurement and Its Implications," Operations Research, INFORMS, vol. 60(4), pages 771-784, August.
    12. 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.
    13. Wu, Zhengping & Zhai, Xin & Liu, Zhongyi, 2015. "The inventory billboard effect on the lead-time decision," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 45-53.
    14. Zhang, Xiaolong & Burke, Gerard J., 2011. "Analysis of compound bullwhip effect causes," European Journal of Operational Research, Elsevier, vol. 210(3), pages 514-526, May.
    15. Zhao, Xiande & Xie, Jinxing & Leung, Janny, 2002. "The impact of forecasting model selection on the value of information sharing in a supply chain," European Journal of Operational Research, Elsevier, vol. 142(2), pages 321-344, October.
    16. Lee, Ho & Kim, Moon Sun & Kim, Kyung Kyu, 2014. "Interorganizational information systems visibility and supply chain performance," International Journal of Information Management, Elsevier, vol. 34(2), pages 285-295.
    17. Disney, S. M. & Towill, D. R., 2003. "The effect of vendor managed inventory (VMI) dynamics on the Bullwhip Effect in supply chains," International Journal of Production Economics, Elsevier, vol. 85(2), pages 199-215, August.
    18. Kaijie Zhu & Ulrich W. Thonemann, 2004. "Modeling the Benefits of Sharing Future Demand Information," Operations Research, INFORMS, vol. 52(1), pages 136-147, February.
    19. Özalp Özer & Yanchong Zheng & Kay-Yut Chen, 2011. "Trust in Forecast Information Sharing," Management Science, INFORMS, vol. 57(6), pages 1111-1137, June.
    20. İsmail Bakal & Nesim Erkip & Refik Güllü, 2011. "Value of supplier’s capacity information in a two-echelon supply chain," Annals of Operations Research, Springer, vol. 191(1), pages 115-135, November.

    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:jomega:v:34:y:2006:i:5:p:427-438. 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/wps/find/journaldescription.cws_home/375/description#description .

    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.