A methodology for stochastic inventory modelling with ARMA triangular distribution for new products

This paper proposes a stochastic inventory policy of continuous review with random demand described with temporal dependence through an autoregressive moving average (ARMA) model with explicative variables, of usefulness in new products without a history of demand data, assuming a triangular distrib...

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Auteur principal: Fernando Rojas
Format: article
Langue:EN
Publié: Taylor & Francis Group 2017
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Accès en ligne:https://doaj.org/article/6a0796920eec4aaba1fea9ef9bdd8bf9
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