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Author (up) Leiva, V.; Santos-Neto, M.; Cysneiros, F.J.A.; Barros, M. pdf  doi
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  Title A methodology for stochastic inventory models based on a zero-adjusted Birnbaum-Saunders distribution Type Journal Article
  Year 2016 Publication Applied Stochastic Models In Business And Industry Abbreviated Journal Appl. Stoch. Models. Bus. Ind.  
  Volume 32 Issue 1 Pages 74-89  
  Keywords demand data; financial indicators; maximum likelihood method; mixture distributions; Monte Carlo simulation; R software  
  Abstract The Birnbaum-Saunders (BS) distribution is receiving considerable attention. We propose a methodology for inventory logistics that allows demand data with zeros to be modeled by means of a new discrete-continuous mixture distribution, which is constructed by using a probability mass at zero and a continuous component related to the BS distribution. We obtain some properties of the new mixture distribution and conduct a simulation study to evaluate the performance of the estimators of its parameters. The methodology for stochastic inventory models considers also financial indicators. We illustrate the proposed methodology with two real-world demand data sets. It shows its potential, highlighting the convenience of using it by improving the contribution margins of a Chilean food industry. Copyright (c) 2015 John Wiley & Sons, Ltd.  
  Address [Leiva, Victor] Univ Valparaiso, Inst Stat, Valparaiso, Chile, Email: victorleivasanchez@gmail.com  
  Corporate Author Thesis  
  Publisher Wiley-Blackwell Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1524-1904 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000369134600006 Approved no  
  Call Number UAI @ eduardo.moreno @ Serial 580  
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