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Forecasting the forecastability quotient for inventory management

Author

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  • Hill, Arthur V.
  • Zhang, Weiyong
  • Burch, Gerald F.

Abstract

This research develops and empirically tests a model for estimating the economic advantage of using a time phased order point system (TPOP) with time series forecasting rather than a simple reorder point system in an independent demand inventory management context. We define the forecastability quotient (Q) to support this economic analysis. We implement TPOP in our empirical analysis via double exponential smoothing with a damped trend, and implement ROP through a simple moving average.

Suggested Citation

  • Hill, Arthur V. & Zhang, Weiyong & Burch, Gerald F., 2015. "Forecasting the forecastability quotient for inventory management," International Journal of Forecasting, Elsevier, vol. 31(3), pages 651-663.
    • Handle: RePEc:eee:intfor:v:31:y:2015:i:3:p:651-663
    DOI: 10.1016/j.ijforecast.2014.10.006
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    References listed on IDEAS

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    4. Weiwei Li & Lisheng Weng & Kaixu Zhao & Sidong Zhao & Ping Zhang, 2021. "Research on the Evaluation of Real Estate Inventory Management in China," Land, MDPI, vol. 10(12), pages 1-29, November.
    5. Li, Chuchu & Lin, Qin & Huang, Dong & Grifoll, Manel & Yang, Dong & Feng, Hongxiang, 2023. "Is entropy an indicator of port traffic predictability? The evidence from Chinese ports," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 612(C).
    6. Bruzda, Joanna, 2019. "Quantile smoothing in supply chain and logistics forecasting," International Journal of Production Economics, Elsevier, vol. 208(C), pages 122-139.
    7. Bruzda, Joanna, 2020. "Demand forecasting under fill rate constraints—The case of re-order points," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1342-1361.

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