Analogue-based demand forecasting of short life-cycle products: a regression approach and a comprehensive assessment-Reference-Cited by-同舟云学术

Analogue-based demand forecasting of short life-cycle products: a regression approach and a comprehensive assessment

Published:2016-10-19 Issue:8 Volume:55 Page:2336-2350
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Basallo-Triana Mario José¹²,Rodríguez-Sarasty Jesús Andrés³,Benitez-Restrepo Hernán Darío⁴

Affiliation:

1. Department of Civil and Industrial Engineering, Pontificia Universidad Javeriana Seccional Cali, Cali, Colombia.

2. School of Industrial Engineering, Universidad del Valle, Guadalajara de Buga, Colombia.

3. GERAD and Département de Mathématiques et Génie industriel, École Polytechnique of Montreal, Montreal, Canada.

4. Department of Electronics and Computer Science, Pontificia Universidad Javeriana Seccional Cali, Cali, Colombia.

Funder

Pontificia Universidad Javeriana Cali

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2016.1241443

Reference36 articles.

1. Characterization of demand for short life-cycle technology products

2. Babuška, R., P. J. Van Der Veen, and U. Kaymak. 2002. “Improved Covariance Estimation for Gustafson-Kessel Clustering.” In: Fuzzy Systems, FUZZ-IEEE’02. Proceedings of the 2002 international Conference on, Honolulu, 2. 1081–1085.

3. Why the Bass Model Fits without Decision Variables

4. Manufacturing intelligence for semiconductor demand forecast based on technology diffusion and product life cycle

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