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An Optimization Approach for the Coordinated Low-Carbon Design of Product Family and Remanufactured Products

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An Optimization Approach for the Coordinated Low-Carbon Design of Product Family and Remanufactured Products

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dc.contributor.author WANG, Q. es_ES
dc.contributor.author Tang, Dunbing es_ES
dc.contributor.author Li, Shipei es_ES
dc.contributor.author Yang, Jun es_ES
dc.contributor.author Salido, Miguel A. es_ES
dc.contributor.author Giret Boggino, Adriana Susana es_ES
dc.contributor.author Zhu, Haihua es_ES
dc.date.accessioned 2020-06-02T05:37:40Z
dc.date.available 2020-06-02T05:37:40Z
dc.date.issued 2019-01-16 es_ES
dc.identifier.uri http://hdl.handle.net/10251/144828
dc.description.abstract [EN] With increasingly stringent environmental regulations on emission standards, enterprises and investigators are looking for effective ways to decrease GHG emission from products. As an important method for reducing GHG emission of products, low-carbon product family design has attracted more and more attention. Existing research, related to low-carbon product family design, did not take into account remanufactured products. Nowadays, it is popular to launch remanufactured products for environmental benefit and meeting customer needs. On the one hand, the design of remanufactured products is influenced by product family design. On the other hand, the launch of remanufactured products may cannibalize the sale of new products. Thus, the design of remanufactured products should be considered together with the product family design for obtaining the maximum profit and reducing the GHG emission as soon as possible. The purpose of this paper is to present an optimization model to concurrently determine product family design, remanufactured products planning and remanufacturing parameters selection with consideration of the customer preference, the total profit of a company and the total GHG emission from production. A genetic algorithm is applied to solve the optimization problem. The proposed method can help decision-makers to simultaneously determine the design of a product family and remanufactured products with a better trade-off between profit and environmental impact. Finally, a case study is performed to demonstrate the effectiveness of the presented approach. es_ES
dc.description.sponsorship This research was funded by National Natural Science Foundation of China (grant number 51575264 and 51805253); the Fundamental Research Funds for the Central Universities (grant number NP2017105); Jiangsu Planned Projects for Postdoctoral Research Funds (grant number 2018K017C); and the Qin Lan Project. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation NSFC/51575264 es_ES
dc.relation Natural Science Foundation of Jiangsu Province/2018K017C es_ES
dc.relation NSFC/51805253 es_ES
dc.relation Fundamental Research Funds for the Central Universities/NP2017105 es_ES
dc.relation.ispartof Sustainability es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Low carbon es_ES
dc.subject Remanufacturing es_ES
dc.subject Product family design es_ES
dc.subject Joint decision-making es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title An Optimization Approach for the Coordinated Low-Carbon Design of Product Family and Remanufactured Products es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/su11020460 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Wang, Q.; Tang, D.; Li, S.; Yang, J.; Salido, MA.; Giret Boggino, AS.; Zhu, H. (2019). An Optimization Approach for the Coordinated Low-Carbon Design of Product Family and Remanufactured Products. Sustainability. 11(2):1-22. https://doi.org/10.3390/su11020460 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/su11020460 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 22 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 11 es_ES
dc.description.issue 2 es_ES
dc.identifier.eissn 2071-1050 es_ES
dc.relation.pasarela S\382537 es_ES
dc.contributor.funder National Natural Science Foundation of China es_ES
dc.contributor.funder Natural Science Foundation of Jiangsu Province es_ES
dc.contributor.funder Fundamental Research Funds for the Central Universities es_ES


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