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Inventory management for new products with triangularly distributed demand and lead-time
| Indexado |
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| DOI | 10.1016/J.COR.2015.10.017 | ||||
| Año | 2016 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Abstract
This paper proposes a computational methodology to deal with the inventory management of new products by using the triangular distribution for both demand per unit time and lead-time. The distribution for demand during lead-time (or lead-time demand) corresponds to the sum of demands per unit time, which is difficult to obtain. We consider the triangular distribution because it is useful when a distribution is unknown due to data unavailability or problems to collect them. We provide an approach to estimate the probability density function of the unknown lead-time demand distribution and use it to establish the suitable inventory model for new products by optimizing the associated costs. We evaluate the performance of the proposed methodology with simulated and real-world demand data. This methodology may be a decision support tool for managers dealing with the measurement of demand uncertainty in new products. (C) 2015 Elsevier Ltd. All rights reserved.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Wanke, Peter | Hombre |
UNIV FED RIO DE JANEIRO - Brasil
Universidade Federal do Rio de Janeiro - Brasil |
| 2 | Ewbank, Henrique | Hombre |
UNIV FED RIO DE JANEIRO - Brasil
Universidade Federal do Rio de Janeiro - Brasil |
| 3 | LEIVA-SANCHEZ, VICTOR ELISEO | Hombre |
Universidad Adolfo Ibáñez - Chile
|
| 4 | Rojas, Fernando | Hombre |
Universidad de Valparaíso - Chile
|
| Fuente |
|---|
| CAPES |
| CNPq |
| Conselho Nacional de Desenvolvimento Científico e Tecnológico |
| Comisión Nacional de Investigación Científica y Tecnológica |
| Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco |
| Coordenação de Aperfeiçoamento de Pessoal de Nível Superior |
| Universidad de Valparaíso |
| Comisión Nacional de Investigación CientÃfica y Tecnológica |
| Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica |
| Fondo Nacional de Desarrollo CientÃfico, Tecnológico y de Innovación Tecnológica |
| Coordenação de Aperfeiçoamento de Pessoal de NÃvel Superior |
| Conselho Nacional de Desenvolvimento CientÃfico e Tecnológico |
| Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco |
| FONDECYT from Chilean government |
| Universidad de ValparaÃso |
| FACEPE from Brazil |
| COPPEAD |
| fellowship "Conicyt" from Chilean government |
| Agradecimiento |
|---|
| The authors thank the Editors and referees for their constructive comments on an earlier version of the paper which resulted in this improved version. This research has been initiated and conducted since the authors met at University of Valparaiso (Chile), Adolfo Ibanez University (Chile) and COPPEAD Graduate School of Business, Federal University of Rio de Janeiro (Brazil). V. Leiva would like to thank COPPEAD, colleagues and staff for their kind supports and hospitality. This research was supported by COPPEAD, Capes, CNPq and FACEPE from Brazil, and FONDECYT 1120879 grant from the Chilean government. F. Rojas acknowledges the support of fellowship "Conicyt" from the Chilean government and the Direccion de Investigacion of the Universidad de Valparaiso, Chile, for collecting the real-world demand data used in the paper. |
| The authors thank the Editors and referees for their constructive comments on an earlier version of the paper which resulted in this improved version. This research has been initiated and conducted since the authors met at University of Valparaíso (Chile), Adolfo Ibáñez University (Chile) and COPPEAD Graduate School of Business, Federal University of Rio de Janeiro (Brazil). V. Leiva would like to thank COPPEAD, colleagues and staff for their kind supports and hospitality. This research was supported by COPPEAD, Capes, CNPq and FACEPE from Brazil, and FONDECYT 1120879 grant from the Chilean government. F. Rojas acknowledges the support of fellowship “Conicyt” from the Chilean government and the Dirección de Investigación of the Universidad de Valparaíso, Chile, for collecting the real-world demand data used in the paper. |
