Five Popular Probability Density Functions: A Comparison in the Field of Stock-Control Models
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Publication:3885471
DOI10.2307/2581583zbMath0442.90018OpenAlexW4234190743MaRDI QIDQ3885471
Publication date: 1980
Published in: The Journal of the Operational Research Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/2581583
probability density functionsinventory controlstatistical descriptionlead time demanddemand processgamma pdfGaussian pdflog-normal pdflogistic pdfstock-control modelsWeibull pdf
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Inventory management with log-normal demand per unit time ⋮ An inventory model: What is the influence of the shape of the lead time demand distribution? ⋮ When is it feasible to model low discrete demand by a normal distribution? ⋮ Expressions for item fill rates in periodic inventory systems ⋮ Statistical measurement of the inventory shortage cost ⋮ Spare parts inventory management: new evidence from distribution fitting ⋮ On continuous review stock control with multiple suppliers and non-negative lead times with special emphasis on Erlang distribution. ⋮ Modelling \((s,Q)\) inventory systems: Parametric versus non-parametric approximations for the lead time demand distribution ⋮ Constraint programming for stochastic inventory systems under shortage cost ⋮ The (s, Q) inventory system for slow moving items ⋮ A redistribution model with minimum backorders of spare parts: a proposal for the defence sector ⋮ Optimal operational service levels in vendor managed inventory contracts -- an exact approach ⋮ Inventory control with the gamma probability distribution ⋮ Simple approximations for the reorder point in periodic and continuous review (s,S) inventory systems with service level constraints
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