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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.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
dc.description.references Mascle, C., & Zhao, H. P. (2008). Integrating environmental consciousness in product/process development based on life-cycle thinking. International Journal of Production Economics, 112(1), 5-17. doi:10.1016/j.ijpe.2006.08.016 es_ES
dc.description.references Kengpol, A., & Boonkanit, P. (2011). The decision support framework for developing Ecodesign at conceptual phase based upon ISO/TR 14062. International Journal of Production Economics, 131(1), 4-14. doi:10.1016/j.ijpe.2010.10.006 es_ES
dc.description.references Ferrer, G., & Swaminathan, J. M. (2010). Managing new and differentiated remanufactured products. European Journal of Operational Research, 203(2), 370-379. doi:10.1016/j.ejor.2009.08.007 es_ES
dc.description.references Sutherland, J. W., Adler, D. P., Haapala, K. R., & Kumar, V. (2008). A comparison of manufacturing and remanufacturing energy intensities with application to diesel engine production. CIRP Annals, 57(1), 5-8. doi:10.1016/j.cirp.2008.03.004 es_ES
dc.description.references Song, J.-S., & Lee, K.-M. (2010). Development of a low-carbon product design system based on embedded GHG emissions. Resources, Conservation and Recycling, 54(9), 547-556. doi:10.1016/j.resconrec.2009.10.012 es_ES
dc.description.references Qi, Y., & Wu, X. (2011). Low-carbon Technologies Integrated Innovation Strategy Based on Modular Design. Energy Procedia, 5, 2509-2515. doi:10.1016/j.egypro.2011.03.431 es_ES
dc.description.references Su, J. C. P., Chu, C.-H., & Wang, Y.-T. (2012). A decision support system to estimate the carbon emission and cost of product designs. International Journal of Precision Engineering and Manufacturing, 13(7), 1037-1045. doi:10.1007/s12541-012-0135-y es_ES
dc.description.references Kuo, T. C., Chen, H. M., Liu, C. Y., Tu, J.-C., & Yeh, T.-C. (2014). Applying multi-objective planning in low-carbon product design. International Journal of Precision Engineering and Manufacturing, 15(2), 241-249. doi:10.1007/s12541-014-0331-z es_ES
dc.description.references Xu, Z.-Z., Wang, Y.-S., Teng, Z.-R., Zhong, C.-Q., & Teng, H.-F. (2015). Low-carbon product multi-objective optimization design for meeting requirements of enterprise, user and government. Journal of Cleaner Production, 103, 747-758. doi:10.1016/j.jclepro.2014.07.067 es_ES
dc.description.references He, B., Wang, J., Huang, S., & Wang, Y. (2015). Low-carbon product design for product life cycle. Journal of Engineering Design, 26(10-12), 321-339. doi:10.1080/09544828.2015.1053437 es_ES
dc.description.references Chiang, T.-A., & Che, Z. H. (2015). A decision-making methodology for low-carbon electronic product design. Decision Support Systems, 71, 1-13. doi:10.1016/j.dss.2015.01.004 es_ES
dc.description.references He, B., Tang, W., Wang, J., Huang, S., Deng, Z., & Wang, Y. (2015). Low-carbon conceptual design based on product life cycle assessment. The International Journal of Advanced Manufacturing Technology, 81(5-8), 863-874. doi:10.1007/s00170-015-7253-5 es_ES
dc.description.references (Roger) Jiao, J., Simpson, T. W., & Siddique, Z. (2007). Product family design and platform-based product development: a state-of-the-art review. Journal of Intelligent Manufacturing, 18(1), 5-29. doi:10.1007/s10845-007-0003-2 es_ES
dc.description.references Francalanza, E., Borg, J. C., & Constantinescu, C. L. (2012). A Case for Assisting ‘Product Family’ Manufacturing System Designers. Procedia CIRP, 3, 376-381. doi:10.1016/j.procir.2012.07.065 es_ES
dc.description.references Bryan, A., Wang, H., & Abell, J. (2013). Concurrent Design of Product Families and Reconfigurable Assembly Systems. Journal of Mechanical Design, 135(5). doi:10.1115/1.4023920 es_ES
dc.description.references Wang, Q., Tang, D., Yin, L., Salido, M. A., Giret, A., & 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 es_ES
dc.description.references Tang, D., Wang, Q., & Ullah, I. (2016). Optimisation of product configuration in consideration of customer satisfaction and low carbon. International Journal of Production Research, 55(12), 3349-3373. doi:10.1080/00207543.2016.1231430 es_ES
dc.description.references Kim, S., & Moon, S. K. (2017). Sustainable platform identification for product family design. Journal of Cleaner Production, 143, 567-581. doi:10.1016/j.jclepro.2016.12.073 es_ES
dc.description.references Xiao, W., Du, G., Zhang, Y., & Liu, X. (2018). Coordinated optimization of low-carbon product family and its manufacturing process design by a bilevel game-theoretic model. Journal of Cleaner Production, 184, 754-773. doi:10.1016/j.jclepro.2018.02.240 es_ES
dc.description.references Mangun, D., & Thurston, D. L. (2002). Incorporating component reuse, remanufacture, and recycle into product portfolio design. IEEE Transactions on Engineering Management, 49(4), 479-490. doi:10.1109/tem.2002.807292 es_ES
dc.description.references Debo, L. G., Toktay, L. B., & Wassenhove, L. N. V. (2009). Joint Life-Cycle Dynamics of New and Remanufactured Products. Production and Operations Management, 15(4), 498-513. doi:10.1111/j.1937-5956.2006.tb00159.x es_ES
dc.description.references Vorasayan, J., & Ryan, S. M. (2009). Optimal Price and Quantity of Refurbished Products. Production and Operations Management, 15(3), 369-383. doi:10.1111/j.1937-5956.2006.tb00251.x es_ES
dc.description.references Kwak, M., & Kim, H. M. (2011). Assessing product family design from an end-of-life perspective. Engineering Optimization, 43(3), 233-255. doi:10.1080/0305215x.2010.482990 es_ES
dc.description.references Kwak, M., & Kim, H. (2012). Market Positioning of Remanufactured Products With Optimal Planning for Part Upgrades. Journal of Mechanical Design, 135(1), 011007. doi:10.1115/1.4023000 es_ES
dc.description.references Debo, L. G., Toktay, L. B., & Van Wassenhove, L. N. (2005). Market Segmentation and Product Technology Selection for Remanufacturable Products. Management Science, 51(8), 1193-1205. doi:10.1287/mnsc.1050.0369 es_ES
dc.description.references Ferguson, M. E., & Toktay, L. B. (2009). The Effect of Competition on Recovery Strategies. Production and Operations Management, 15(3), 351-368. doi:10.1111/j.1937-5956.2006.tb00250.x es_ES
dc.description.references Jin, Y., Muriel, A., & Lu, Y. (2015). When to Offer Lower Quality or Remanufactured Versions of a Product. Decision Sciences, 47(4), 699-719. doi:10.1111/deci.12175 es_ES
dc.description.references Liu, B., Holmbom, M., Segerstedt, A., & Chen, W. (2014). Effects of carbon emission regulations on remanufacturing decisions with limited information of demand distribution. International Journal of Production Research, 53(2), 532-548. doi:10.1080/00207543.2014.957875 es_ES
dc.description.references Wang, Y., Chen, W., & Liu, B. (2017). Manufacturing/remanufacturing decisions for a capital-constrained manufacturer considering carbon emission cap and trade. Journal of Cleaner Production, 140, 1118-1128. doi:10.1016/j.jclepro.2016.10.058 es_ES
dc.description.references Yenipazarli, A. (2016). Managing new and remanufactured products to mitigate environmental damage under emissions regulation. European Journal of Operational Research, 249(1), 117-130. doi:10.1016/j.ejor.2015.08.020 es_ES
dc.description.references Perera, H. S. ., Nagarur, N., & Tabucanon, M. T. (1999). Component part standardization: A way to reduce the life-cycle costs of products. International Journal of Production Economics, 60-61, 109-116. doi:10.1016/s0925-5273(98)00179-0 es_ES
dc.description.references Jiao, J., & Zhang, Y. (2005). Product portfolio planning with customer-engineering interaction. IIE Transactions, 37(9), 801-814. doi:10.1080/07408170590917011 es_ES
dc.description.references Mukhopadhyay, S. K., & Ma, H. (2009). Joint procurement and production decisions in remanufacturing under quality and demand uncertainty. International Journal of Production Economics, 120(1), 5-17. doi:10.1016/j.ijpe.2008.07.032 es_ES
dc.description.references Wang, K., & Choi, S. H. (2014). A holonic approach to flexible flow shop scheduling under stochastic processing times. Computers & Operations Research, 43, 157-168. doi:10.1016/j.cor.2013.09.013 es_ES


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