A data-driven manufacturing support system for rubber extrusion lines-Reference-Cited by-同舟云学术

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A data-driven manufacturing support system for rubber extrusion lines

Published:2009-04-14 Issue:8 Volume:48 Page:2219-2231
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Cabrera Claudia Barreto¹,Ordieres Meré Joaquín B.²,Castejon Limas Manuel³,José del Coz Díaz Juan⁴

Affiliation:

1. a Departamento de Ingeniería Industrial , Instituto Tecnológico de Zacatepec , Zacatepec, México

2. b Departamento de Ingeniería de Organización, Administración de Empresas y Estadística , Universidad Politécnica de Madrid , Madrid, Spain

3. c Departamento de Ingenierías Mecánica, Informática y Aeroespacial , Universidad de León, León , Spain

4. d Departamento de Ingeniería de Construcción , Universidad de Oviedo , Gijón, Spain

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207540902798780

Reference42 articles.

1. Data-mining-based methodology for the design of product families

2. Prediction and optimisation models for turning operations

3. Theory of actionable data mining with application to semiconductor manufacturing control

4. Application of genetic algorithms in production and operations management: a review

5. Configuration of cellular manufacturing systems using association rule induction

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1. Procedure for the Orientation of Laser Triangulation Sensors to a Stereo Camera System for the Inline Measurement of Rubber Extrudate;The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2024-06-11

2. Data-driven advisory system for industrial manufacturing. Application to the aluminum extrusion process;Knowledge-Based Systems;2024-06

3. Practical methodology for validating constitutive models for the simulation of rubber compounds in extrusion processes;The International Journal of Advanced Manufacturing Technology;2016-10-15

4. Employing virtual samples to build early high-dimensional manufacturing models;International Journal of Production Research;2013-06

5. State-of-the-art sustainability analysis methodologies for efficient decision support in green production operations;International Journal of Sustainable Engineering;2011-04-15

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