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Bi-objective optimization for low-carbon product family design

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Bi-objective optimization for low-carbon product family design

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Wang, Q.; Dunbing, T.; Yin, L.; Salido, MA.; Giret Boggino, AS.; Xu, Y. (2016). Bi-objective optimization for low-carbon product family design. Robotics and Computer-Integrated Manufacturing. 41:53-65. doi:10.1016/j.rcim.2016.02.001

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/99650

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Title: Bi-objective optimization for low-carbon product family design
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Embargo end date: 2018-10-31
Abstract:
[EN] Consumers, industry, and government entities are becoming increasingly concerned about the issue of global warming. With this in mind, manufacturers have begun to develop products with consideration of low-carbon. In ...[+]
Subjects: Multiple objective programming , Low carbon design , Platform planning , Product family design
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Robotics and Computer-Integrated Manufacturing. (issn: 0736-5845 )
DOI: 10.1016/j.rcim.2016.02.001
Publisher:
Elsevier
Publisher version: http://doi.org/10.1016/j.rcim.2016.02.001
Project ID: info:eu-repo/grantAgreement/EC/FP7/294931/EU
Thanks:
This research was carried out as a part of the CASES project which is supported by a Marie Curie International Research Staff Exchange Scheme Fellowship within the 7th European Community Framework Programme under the Grant ...[+]
Type: Artículo

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