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The value of information in a capacitated closed loop supply chain

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  • Ketzenberg, Michael

Abstract

We explore the value of information in the context of a firm that faces uncertainty with respect to demand, product returns, recovery yield, and capacity utilization. Capacity is finite and shared between new production and recovery operations. The operational decisions of interest are the quantity of new product to produce, the quantity of returns to recover, and the quantity of returns to dispose. Product recovery is uncertain in that each returned unit can be successfully recovered with a known probability, and otherwise it is discarded at a cost. Demand in a period is satisfied with new production, recovered returns, or a mix of both types. We measure and evaluate the value of information through three information cases that separately address different types of information: demand, recovery yield, and capacity utilization. We find that there is no dominance in value amongst the different types of information, although information on capacity utilization provides the highest average value and exceeds the value of the other two types of information in 55% of the cases studied. We also identify the operating conditions in which each type of information is most valuable, compare the value of information to other types of investments, and also assess robustness with respect to the accuracy of information.

Suggested Citation

  • Ketzenberg, Michael, 2009. "The value of information in a capacitated closed loop supply chain," European Journal of Operational Research, Elsevier, vol. 198(2), pages 491-503, October.
    • Handle: RePEc:eee:ejores:v:198:y:2009:i:2:p:491-503
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    1. Mostard, Julien & Teunter, Ruud, 2006. "The newsboy problem with resalable returns: A single period model and case study," European Journal of Operational Research, Elsevier, vol. 169(1), pages 81-96, February.
    2. Bourland, Karla E. & Powell, Stephen G. & Pyke, David F., 1996. "Exploiting timely demand information to reduce inventories," European Journal of Operational Research, Elsevier, vol. 92(2), pages 239-253, July.
    3. L. Beril Toktay & Lawrence M. Wein & Stefanos A. Zenios, 2000. "Inventory Management of Remanufacturable Products," Management Science, INFORMS, vol. 46(11), pages 1412-1426, November.
    4. 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.
    5. Kamran Moinzadeh, 2002. "A Multi-Echelon Inventory System with Information Exchange," Management Science, INFORMS, vol. 48(3), pages 414-426, March.
    6. Steven Nahmias & Stephen A. Smith, 1994. "Optimizing Inventory Levels in a Two-Echelon Retailer System with Partial Lost Sales," Management Science, INFORMS, vol. 40(5), pages 582-596, May.
    7. Srinagesh Gavirneni & Roman Kapuscinski & Sridhar Tayur, 1999. "Value of Information in Capacitated Supply Chains," Management Science, INFORMS, vol. 45(1), pages 16-24, January.
    8. Mark Ferguson & Michael E. Ketzenberg, 2006. "Information Sharing to Improve Retail Product Freshness of Perishables," Production and Operations Management, Production and Operations Management Society, vol. 15(1), pages 57-73, March.
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    16. Timothy J. Richards & Stephen F. Hamilton, 2022. "Inventory management and loss in beer retailing," Agribusiness, John Wiley & Sons, Ltd., vol. 38(3), pages 461-485, July.
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