@conference{Hayya2004,
  author       = {J.C. Hayya, S.M. Disney, T. Harrison, D. Chatfield, J. Kim},
  title        = {Estimation procedures in supply chains: Inventory management},
  booktitle    = {CORS-INFORMS Conference},
  year         = {2004},
  pages        = {35 pages},
  address      = {Banff, Alberta, CANADA},
  month        = {May 16th-19th},
  url          = {https://www.researchgate.net/publication/396900406_Estimation_procedures_in_supply_chains_Inventory_management},
  abstract     = {Subtle differences in estimation or forecasting procedures could produce dramatically different parameter estimates in supply chain inventory management. We show, for example, that determining when to introduce estimates of lead times in the calculation of the variance of demand during lead time can yield dramatically different safety stocks and order-up-to-levels. Also, calculations of supply chain turbulence using a firewalled, sequential chain execution differ markedly from an analysis that considers a k-echelon analysis as a whole, k > 2, for the latter exhibits a cascading phenomenon as occurred in Summer 2003 in the electrical grid of the Eastern United States. There is also the issue of forecasting lumpy demand when negative orders are not allowed. Our research compares the results in the recent literature and shows how superficially equivalent estimation procedures are not equivalent; also, that the conventional exponential smoothing forecasting may not be appropriate at the higher echelons of supply chains, where lumpy demand frequently obtains.}
  }