Is there a benefit to sharing market sales information? Linking theory and practice

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Hosoda, Takamichi ; Naim, Mohamed Mohamed ; Disney, Stephen Michael ; Potter, Andrew Thomas (2008)

Using a real-life data set, we investigate the benefit of sharing market sales information in a setting where a theoretical model argues there is no benefit from such a collaboration scheme. The set of real Electronic Point Of Sales (EPOS) data and the orders that were placed by a retailer to a suppler was used. We have focused on products that operate under an every day low price strategy. To measure the benefit of the second echelon player the Standard Deviation of the Prediction Errors (SDPE) is used as this is linearly related to inventory costs. It is revealed that the second echelon player can reduce its SDPE by between 8% and 19% by exploiting the shared EPOS data, suggesting that there is a benefit to information sharing. Furthermore, it is proposed that the noise element that is originally contained in the EPOS series is the major source of the information sharing benefit.
  • References (13)
    13 references, page 1 of 2

    Alwan, L. C., J. J. Liu and D. Yao (2003). Stochastic characterization of upstream demand process in a supply chain. IIR Transactions 35, 207-219.

    Aviv, Y. (2002). Gaining benefits from joint forecasting and replenishment processes: The case of auto-correlated demand. Manufacturing & Service Operations Management 4(1), 55-74.

    Box, G. E. P., G. M. Jenkins and G. C. Reinsel (1994). Time Series Analysis: Forecasting and Control. 3rd ed. Prentice Hall. Englewood Cliffs, NJ.

    Christopher, M. (1998). Logistics and Supply Chain Management: Strategies for reducing cost and improving service. 2nd ed. Financial Times Prentice Hall.

    Gaur, V., A. Giloni and S. Seshadri (2005). Information sharing in a supply chain under ARMA demand. Management Science 51(6), 961-969.

    Gavirneni, S., R. Kapuscinski and S. Tayur (1999). Value of information in capacitated supply chain. Management Science 45(1), 16-24.

    Geary, S., S. M. Disney and D. R. Towill (2006). On bullwhip in supply chains - historical review, present practise and expected future impact. International Journal of Production Economics 101, 2-18.

    Gilbert, K. (2005). An ARIMA supply chain model. Management Science 51(2), 305-310.

    Graves, S. C. (1999). A single-item inventory model for a nonstationary demand process. Manufacturing & Service Operations Management 1, 50-61.

    Hosoda, T. and S. M. Disney (2006). On variance amplification in a three-echelon supply chain with minimum mean square error forecasting. OMEGA, The International Journal of Management Science 34(4), 344-358.

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