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dc.contributor.author | WANG, Q.![]() |
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dc.contributor.author | Tang, Dunbing![]() |
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dc.contributor.author | Li, Shipei![]() |
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dc.contributor.author | Yang, Jun![]() |
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dc.contributor.author | Salido, Miguel A.![]() |
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dc.contributor.author | Giret Boggino, Adriana Susana![]() |
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dc.contributor.author | Zhu, Haihua![]() |
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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.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.relation.projectID | info:eu-repo/grantAgreement/NSFC//51575264/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/Natural Science Foundation of Jiangsu Province//2018K017C/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NSFC//51805253/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/Fundamental Research Funds for the Central Universities//NP2017105/ | 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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