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The value of information sharing in a serial supply chain with AR(1) demand and non-zero replenishment lead times

Author

Listed:
  • Sabitha, Devarajulu
  • Rajendran, Chandrasekharan
  • Kalpakam, S.
  • Ziegler, Hans

Abstract

This paper analyzes the value of information sharing, in terms of reduction in the demand variance and average (on-hand) inventory level, in a single product multi-stage (i.e., serial) supply chain with non-zero replenishment lead times. An order-one auto-regressive, AR(1), process characterizes the customer demand. We quantify the reduction in the demand variance and average (on-hand) inventory level in a multi-stage supply chain considering two information sharing scenarios: (1) supply-chain-wide information sharing; and (2) Vendor-Managed Inventory (VMI). In contrast to the related existing literature on a three-stage supply chain with non-zero replenishment lead times, we prove for a multi-stage supply chain that there exists no difference, in terms of the expectation and the variance of total demand over lead time, between supply-chain-wide information sharing and VMI. When there is an instantaneous replenishment across all firms, our analytical results are in agreement with the existing literature on a multi-stage supply chain. Further, we show that the value of information sharing is always greater than or equal to those obtained by an existing study. We also observe that the variance of total demand over lead time is reflected in the variance of the inventory level, derived using inventory balance equation. Furthermore, we carry out a comparative study with respect to the benefits of information sharing under three different supply chain settings, and find that the value of information sharing is more for upstream firms, when demand correlation over a period is high or when lead times are high or both.

Suggested Citation

  • Sabitha, Devarajulu & Rajendran, Chandrasekharan & Kalpakam, S. & Ziegler, Hans, 2016. "The value of information sharing in a serial supply chain with AR(1) demand and non-zero replenishment lead times," European Journal of Operational Research, Elsevier, vol. 255(3), pages 758-777.
    • Handle: RePEc:eee:ejores:v:255:y:2016:i:3:p:758-777
    DOI: 10.1016/j.ejor.2016.05.016
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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. Srinivasan Raghunathan, 2001. "Information Sharing in a Supply Chain: A Note on its Value when Demand Is Nonstationary," Management Science, INFORMS, vol. 47(4), pages 605-610, April.
    3. Nagaraja, C.H. & Thavaneswaran, A. & Appadoo, S.S., 2015. "Measuring the bullwhip effect for supply chains with seasonal demand components," European Journal of Operational Research, Elsevier, vol. 242(2), pages 445-454.
    4. Choudhary, Devendra & Shankar, Ravi, 2015. "The value of VMI beyond information sharing in a single supplier multiple retailers supply chain under a non-stationary (Rn, Sn) policy," Omega, Elsevier, vol. 51(C), pages 59-70.
    5. Srinivasan Raghunathan & Arthur B. Yeh, 2001. "Beyond EDI: Impact of Continuous Replenishment Program (CRP) Between a Manufacturer and Its Retailers," Information Systems Research, INFORMS, vol. 12(4), pages 406-419, December.
    6. Raghunathan, Srinivasan, 2003. "Impact of demand correlation on the value of and incentives for information sharing in a supply chain," European Journal of Operational Research, Elsevier, vol. 146(3), pages 634-649, May.
    7. Agrawal, Sunil & Sengupta, Raghu Nandan & Shanker, Kripa, 2009. "Impact of information sharing and lead time on bullwhip effect and on-hand inventory," European Journal of Operational Research, Elsevier, vol. 192(2), pages 576-593, January.
    8. Z Yu & H Yan & T C E Cheng, 2002. "Modelling the benefits of information sharing-based partnerships in a two-level supply chain," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(4), pages 436-446, April.
    9. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, July.
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    Cited by:

    1. Wu, Junjian & Wang, Haiyan & Shang, Jennifer, 2019. "Multi-sourcing and information sharing under competition and supply uncertainty," European Journal of Operational Research, Elsevier, vol. 278(2), pages 658-671.
    2. Dong, Ciwei & Liu, Qingyu & Shen, Bin, 2019. "To be or not to be green? Strategic investment for green product development in a supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 193-227.
    3. Jing Liu & Fuyou Huang & Chao Ma, 2021. "Coordination of VMI supply chain with replenishment tactic under risk aversion and sales effort," 4OR, Springer, vol. 19(3), pages 389-414, September.
    4. Cave, Joshua & Chaudhuri, Kausik & Kumbhakar, Subal C., 2023. "Dynamic firm performance and estimator choice: A comparison of dynamic panel data estimators," European Journal of Operational Research, Elsevier, vol. 307(1), pages 447-467.
    5. Weidong Zhang & Fuqiang Wang, 2022. "Information Sharing in Competing Supply Chains with Carbon Emissions Reduction Incentives," Sustainability, MDPI, vol. 14(20), pages 1-25, October.

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