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Sharing shipment quantity information in the supply chain

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  • 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
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    References listed on IDEAS

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    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. 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.
    4. 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.
    5. 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.
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Trapero, Juan R. & Kourentzes, N. & Fildes, R., 2012. "Impact of information exchange on supplier forecasting performance," Omega, Elsevier, vol. 40(6), pages 738-747.
    14. 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.
    15. 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.
    16. Pan, Feng & Nagi, Rakesh, 2013. "Multi-echelon supply chain network design in agile manufacturing," Omega, Elsevier, vol. 41(6), pages 969-983.
    17. 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.
    18. Surucu-Balci, Ebru & Iris, Çağatay & Balci, Gökcay, 2024. "Digital information in maritime supply chains with blockchain and cloud platforms: Supply chain capabilities, barriers, and research opportunities," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    19. 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.

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