- -

An Optimization Method for Coordinating Supplier Selection and Low-Carbon Design of Product Family

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

An Optimization Method for Coordinating Supplier Selection and Low-Carbon Design of Product Family

Show full item record

Wang, Q.; Tang, D.; Yin, L.; Ullah, I.; Salido, MA.; Giret Boggino, AS. (2018). An Optimization Method for Coordinating Supplier Selection and Low-Carbon Design of Product Family. International Journal of Precision Engineering and Manufacturing. 19(11):1715-1726. https://doi.org/10.1007/s12541-018-0199-4

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/138965

Files in this item

Item Metadata

Title: An Optimization Method for Coordinating Supplier Selection and Low-Carbon Design of Product Family
Author: WANG, Q. Tang, Dunbing Yin, L. Ullah, I. Salido, M. A. Giret Boggino, Adriana Susana
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] New stricter environmental regulations and consumer rising issues are making greenhouse gases (GHG) emission an increasing and urgent concern for manufacturing companies. Companies and researchers are seeking appropriate ...[+]
Subjects: Low carbon , Product family design , Joint decision-making , Supplier selection
Copyrigths: Cerrado
Source:
International Journal of Precision Engineering and Manufacturing. (issn: 1229-8557 )
DOI: 10.1007/s12541-018-0199-4
Publisher:
Springer-Verlag
Publisher version: https://doi.org/10.1007/s12541-018-0199-4
Thanks:
This work was supported by National Natural Science Foundation of China [Grant number 51575264]; the Fundamental Research Funds for the Central Universities [Grant number 56XBA17006]; and Qin Lan Project.
Type: Artículo

References

Intergovernmental Panel on Climate Change (IPCC). “IPCC Fourth Assessment Report: Climate Change 2007,” Working Group III Report “Mitigation of Climate Change”, pp. 447–496, 2007.

He, B., Wang, J., and Deng, Z., “Cost-Constrained Low-Carbon Product Design,” The International Journal of Advanced Manufacturing Technology, Vol. 79, Nos. 9–12, pp. 1821–1828, 2015.

Xu, Z.-Z., Wang, Y.-S., Teng, Z.-R., Zhong, C.-Q., and Teng, H.-F., “Low-Carbon Product Multi-Objective Optimization Design for Meeting Requirements of Enterprise, User and Government,” Journal of Cleaner Production, Vol. 103, pp. 747–758, 2015. [+]
Intergovernmental Panel on Climate Change (IPCC). “IPCC Fourth Assessment Report: Climate Change 2007,” Working Group III Report “Mitigation of Climate Change”, pp. 447–496, 2007.

He, B., Wang, J., and Deng, Z., “Cost-Constrained Low-Carbon Product Design,” The International Journal of Advanced Manufacturing Technology, Vol. 79, Nos. 9–12, pp. 1821–1828, 2015.

Xu, Z.-Z., Wang, Y.-S., Teng, Z.-R., Zhong, C.-Q., and Teng, H.-F., “Low-Carbon Product Multi-Objective Optimization Design for Meeting Requirements of Enterprise, User and Government,” Journal of Cleaner Production, Vol. 103, pp. 747–758, 2015.

Chiang, T.-A. and Che, Z., “A Decision-Making Methodology for Low-Carbon Electronic Product Design,” Decision Support Systems, Vol. 71, pp. 1–13, 2015.

He, B., Deng, Z., Huang, S., and Wang, J., “Application of Unascertained Number for the Integration of Carbon Footprint in Conceptual Design,” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol. 229, No. 11, pp. 2088–2092, 2015.

Kuo, T. C., “The Construction of a Collaborative Framework in Support of Low Carbon Product Design,” Robotics and Computer-Integrated Manufacturing, Vol. 29, No. 4, pp. 174–183, 2013.

Su, J. C., Chu, C.-H., and Wang, Y.-T., “A Decision Support System to Estimate the Carbon Emission and Cost of Product Designs,” International Journal of Precision Engineering and Manufacturing, Vol. 13, No. 7, pp. 1037–1045, 2012.

Song, J.-S. and Lee, K.-M., “Development of a Low-Carbon Product Design System Based on Embedded GHG Emissions,” Resources, Conservation and Recycling, Vol. 54, No. 9, pp. 547–556, 2010.

Fujita, K., Sakaguchi, H., and Akagi, S., “Product Variety Deployment and Its Optimization under Modular Architecture and Module Commonalization,” Proc. of the 1999 ASME Design Engineering Technical Conferences, pp. 12–15, 1999.

Wang, W., Qin, X., Yan, X., Tong, S., and Sha, Q., “Developing a Systematic Method for Constructing the Function Platform of Product Family,” Proc. of IEEE International Conference on Industrial Engineering and Engineering Management, pp. 60–64, 2007.

Kumar, D., Chen, W., and Simpson, T. W., “A Market-Driven Approach to Product Family Design,” International Journal of Production Research, Vol. 47, No. 1, pp. 71–104, 2009.

Kwong, C. K., Luo, X., and Tang, J., “A Multiobjective Optimization Approach for Product Line Design,” IEEE Transactions on Engineering Management, Vol. 58, No. 1, pp. 97–108, 2011.

Gupta, S. and Krishnan, V., “Integrated Component and Supplier Selection for a Product Family,” Production and Operations Management, Vol. 8, No. 2, pp. 163–182, 1999.

Lamothe, J., Hadj-Hamou, K., and Aldanondo, M., “An Optimization Model for Selecting a Product Family and Designing Its Supply Chain,” European Journal of Operational Research, Vol. 169, No. 3, pp. 1030–1047, 2006.

Balakrishnan, N. R. and Chakravarty, A. K., “Product Design with Multiple Suppliers for Component Variants,” International Journal of Production Economics, Vol. 112, No. 2, pp. 723–741, 2008.

Luo, X., Kwong, C., Tang, J., Deng, S., and Gong, J., “Integrating Supplier Selection in Optimal Product Family Design,” International Journal of Production Research, Vol. 49, No. 14, pp. 4195–4222, 2011.

Deng, S., Aydin, R., Kwong, C., and Huang, Y., “Integrated Product Line Design and Supplier Selection: A Multi-Objective Optimization Paradigm,” Computers & Industrial Engineering, Vol. 70, pp. 150–158, 2014.

Hsu, T.-H., Chu, K.-M., and Chan, H.-C., “The Fuzzy Clustering on Market Segment,” Proc. of Ninth IEEE International Conference on Fuzzy Systems, pp. 621–626, 2000.

Jiao, J. and Zhang, Y., “Product Portfolio Planning with Customer-Engineering Interaction,” IIE Transactions, Vol. 37, No. 9, pp. 801–814, 2005.

Leach, M. P. and Liu, A. H., “Applying Conjoint Analysis to International Markets: A Cross-Cultural Comparison of Model Fit,” Proc. of the 1997 Academy of Marketing Science (AMS) Annual Conference, pp. 69–73, 2015.

Ben-Akiva, M. E., Lerman, S. R., and Lerman, S. R., “Discrete Choice Analysis: Theory and Application to Travel Demand,” MIT Press, 1985.

Mukhopadhyay, S. K. and Ma, H., “Joint Procurement and Production Decisions in Remanufacturing under Quality and Demand Uncertainty,” International Journal of Production Economics, Vol. 120, No. 1, pp. 5–17, 2009.

Wang, K. and Choi, S., “A Holonic Approach to Flexible Flow Shop Scheduling under Stochastic Processing Times,” Computers & Operations Research, Vol. 43, pp. 157–168, 2014.

Zhang, A. and Huang, G. Q., “Impacts of Business Environment Changes on Global Manufacturing Outsourcing in China,” Supply Chain Management: An International Journal, Vol. 17, No. 2, pp. 138–151, 2012.

Ting, S.-C. and Cho, D. I., “An Integrated Approach for Supplier Selection and Purchasing Decisions,” Supply Chain Management: An International Journal, Vol. 13, No. 2, pp. 116–127, 2008.

Syswerda, G., “Uniform Crossover in Genetic Algorithms,” Proc. of the Third International Conference on Genetic Algorithms, pp. 2–9, 1989.

[-]

This item appears in the following Collection(s)

Show full item record