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...
Main Author: | Fernando Rojas |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2017-01-01
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Series: | Cogent Business & Management |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/23311975.2016.1270706 |
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