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Information Flows in Capacitated Supply Chains with Fixed Ordering Costs

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  • Srinagesh Gavirneni

    () (8804 Rattlebush Cove, Austin, Texas 78750)

Abstract

Many organizations have only recently recognized that sharing information with other members in their supply chain can lead to signficant reduction in the total costs.Usually these information flows are incorporated into existing operating policies at the various parties.In this paper we argue that, in some cases, it may be necessary to change the way the supply chain is managed to make complete use of the information flows. We support this argument by analyzing a supply chain containing a capacitated supplier and a retailer facing i.i.d. demands. In addition there are fixed ordering costs between the retailer and the supplier.In this setting, we consider two models: (1) the retailer is using the optimal (s,S) policy and providing the supplier information about her inventory levels; and (2) the retailer, still sharing information on her inventory levels, orders in a period only if by the previous period the cumulative end-customer demand since she last ordered was greater than \delta . Thus, in Model 1, information sharing is used to supplement existing policies; while, in Model 2, we have redefined operating policies to make better use of the information flows. We will show, via a detailed computational study, that the total supply chain costs of Model 2 are 10.4% lower, on the average, than that of Model 1. We noticed that this reduction in costs is higher at higher capacities, higher supplier penalty costs, lower retailer penalty costs, moderate values of set-up cost, and at lower end-customer demand variances.

Suggested Citation

  • Srinagesh Gavirneni, 2002. "Information Flows in Capacitated Supply Chains with Fixed Ordering Costs," Management Science, INFORMS, vol. 48(5), pages 644-651, May.
  • Handle: RePEc:inm:ormnsc:v:48:y:2002:i:5:p:644-651
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    File URL: http://dx.doi.org/10.1287/mnsc.48.5.644.7806
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    References listed on IDEAS

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    1. Fangruo Chen, 1998. "Echelon Reorder Points, Installation Reorder Points, and the Value of Centralized Demand Information," Management Science, INFORMS, vol. 44(12-Part-2), pages 221-234, December.
    2. Gérard P. Cachon & Marshall Fisher, 2000. "Supply Chain Inventory Management and the Value of Shared Information," Management Science, INFORMS, vol. 46(8), pages 1032-1048, August.
    3. Gérard P. Cachon & Paul H. Zipkin, 1999. "Competitive and Cooperative Inventory Policies in a Two-Stage Supply Chain," Management Science, INFORMS, vol. 45(7), pages 936-953, July.
    4. Srinagesh Gavirneni & Roman Kapuscinski & Sridhar Tayur, 1999. "Value of Information in Capacitated Supply Chains," Management Science, INFORMS, vol. 45(1), pages 16-24, January.
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    Citations

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    Cited by:

    1. Ketzenberg, Michael E. & Rosenzweig, Eve D. & Marucheck, Ann E. & Metters, Richard D., 2007. "A framework for the value of information in inventory replenishment," European Journal of Operational Research, Elsevier, vol. 182(3), pages 1230-1250, November.
    2. Fawcett, Stanley E. & Magnan, Gregory M. & McCarter, Matthew W., 2005. "Benchmarking Information Integration in Supply Chain Management: A Multi-channel Approach," Working Papers 05-0117, University of Illinois at Urbana-Champaign, College of Business.
    3. Byrne, P.J. & Heavey, Cathal, 2006. "The impact of information sharing and forecasting in capacitated industrial supply chains: A case study," International Journal of Production Economics, Elsevier, vol. 103(1), pages 420-437, September.
    4. Yoon, Sang Won & Nof, Shimon Y., 2011. "Affiliation/dissociation decision models in demand and capacity sharing collaborative network," International Journal of Production Economics, Elsevier, vol. 130(2), pages 135-143, April.
    5. Sari, Kazim, 2008. "On the benefits of CPFR and VMI: A comparative simulation study," International Journal of Production Economics, Elsevier, vol. 113(2), pages 575-586, June.
    6. Krishnan S. Anand & Manu Goyal, 2009. "Strategic Information Management Under Leakage in a Supply Chain," Management Science, INFORMS, vol. 55(3), pages 438-452, March.
    7. Kurata, Hisashi & Yue, Xiaohang, 2008. "Trade promotion mode choice and information sharing in fashion retail supply chains," International Journal of Production Economics, Elsevier, vol. 114(2), pages 507-519, August.
    8. Kwak, Jin Kyung & Gavirneni, Srinagesh, 2011. "Retailer policy, uncertainty reduction, and supply chain performance," International Journal of Production Economics, Elsevier, vol. 132(2), pages 271-278, August.
    9. 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.
    10. Moghaddam, Mohsen & Nof, Shimon Y., 2014. "Combined demand and capacity sharing with best matching decisions in enterprise collaboration," International Journal of Production Economics, Elsevier, vol. 148(C), pages 93-109.
    11. Hosoda, Takamichi & Disney, Stephen M., 2012. "A delayed demand supply chain: Incentives for upstream players," Omega, Elsevier, vol. 40(4), pages 478-487.
    12. Mukhopadhyay, Samar K. & Yao, Dong-Qing & Yue, Xiaohang, 2008. "Information sharing of value-adding retailer in a mixed channel hi-tech supply chain," Journal of Business Research, Elsevier, vol. 61(9), pages 950-958, September.
    13. Kevin H. Shang & Sean X. Zhou & Geert-Jan van Houtum, 2010. "Improving Supply Chain Performance: Real-Time Demand Information and Flexible Deliveries," Manufacturing & Service Operations Management, INFORMS, vol. 12(3), pages 430-448, May.
    14. Hsu, Chaug-Ing & Li, Hui-Chieh, 2011. "Reliability evaluation and adjustment of supply chain network design with demand fluctuations," International Journal of Production Economics, Elsevier, vol. 132(1), pages 131-145, July.
    15. Chao, Gary H., 2013. "Production and availability policies through the Markov Decision Process and myopic methods for contractual and selective orders," European Journal of Operational Research, Elsevier, vol. 225(3), pages 383-392.
    16. Yao, Dong-Qing & Yue, Xiaohang & Liu, John, 2008. "Vertical cost information sharing in a supply chain with value-adding retailers," Omega, Elsevier, vol. 36(5), pages 838-851, October.
    17. Martinez-Olvera, Cesar, 2008. "Entropy as an assessment tool of supply chain information sharing," European Journal of Operational Research, Elsevier, vol. 185(1), pages 405-417, February.
    18. Caridi, Maria & Crippa, Luca & Perego, Alessandro & Sianesi, Andrea & Tumino, Angela, 2010. "Do virtuality and complexity affect supply chain visibility?," International Journal of Production Economics, Elsevier, vol. 127(2), pages 372-383, October.
    19. Caridi, Maria & Moretto, Antonella & Perego, Alessandro & Tumino, Angela, 2014. "The benefits of supply chain visibility: A value assessment model," International Journal of Production Economics, Elsevier, vol. 151(C), pages 1-19.
    20. 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.
    21. Yan, Ruiliang & Pei, Zhi, 2011. "Information asymmetry, pricing strategy and firm's performance in the retailer- multi-channel manufacturer supply chain," Journal of Business Research, Elsevier, vol. 64(4), pages 377-384, April.

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