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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Autor principal: | Fernando Rojas |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Taylor & Francis Group
2017
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Materias: | |
Acceso en línea: | https://doaj.org/article/6a0796920eec4aaba1fea9ef9bdd8bf9 |
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