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Fitting Discrete Distributions on the First Two Moments
4 references·16 citing·44 second hop
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this work references cited by second hop

References

  • 1984Matrix-Geometric Solutions to Stochastic Models1,706 cited
  • 1985Matrix-geometric solutions in stochastic models871 cited
  • 1987Stochastic Modelling and Analysis: A Computational Approach.714 cited
  • 1964On the Traffic-light Queue94 cited

Cited by

  • 2003Trade-off between inventory and repair capacity in spare part networks79 cited
  • 2012Analysis of a two-echelon inventory system with two supply modes72 cited
  • 2004Using repair priorities to reduce stock investment in spare part networks71 cited
  • 2018Improved ordering of perishables: The value of stock-age information69 cited
  • 1998On the (R, s, Q) inventory model when demand is modelled as a compound Bernoulli process66 cited
  • 2015Stock-level dependent ordering of perishables: A comparison of hybrid base-stock and constant order policies59 cited
  • 2015An efficient algorithm for capacitated assortment planning with stochastic demand and substitution57 cited
  • 2012Approximations for the relative outdating of perishable products by combining stochastic modeling, simulation and regression modeling46 cited
  • 2011Determination of safety stocks in a lost sales inventory system with periodic review, positive lead-time, lot-sizing and a target fill rate45 cited
  • 2006Multi-echelon production/inventory systems : optimal policies, heuristics, and algorithms

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37 cited
  • 2011Efficient optimization of the dual-index policy using Markov chains37 cited
  • 2003Exact and Approximate Analysis of Multi-Echelon, Multi-Indenture Spare Parts Systems with Commonality36 cited
  • 2022Modelling the influence of returns for an omni-channel retailer35 cited
  • 2021Tailoring inventory classification to industry applications: the benefits of understandable machine learning34 cited
  • 2011Distributional Assumptions for Parametric Forecasting of Intermittent Demand33 cited
  • 2010Predicting Cycle Time Distributions for Integrated Processing Workstations: An Aggregate Modeling Approach29 cited