Optimal material for solar electric vehicle application using an integrated Fuzzy-COPRAS model

References

• Adali, E., and A. I¸sı K. 2016. Air conditioner selection problem with COPRAS and ARAS methods. Manas Journal of Social Inclusion Studies 5 (2):124–38.
   Google Scholar
• Aghdaie, M. H., S. H. Zolfani, and E. K. Zavadskas. 2013. Market segment evaluation and selection based on application of Fuzzy AHP and COPRAS-G methods. Journal of Business Economics and Management 14 (1):213–33. doi:10.3846/16111699.2012.721392.
   Web of Science ®Google Scholar
• Ajitesh Das, S. 2016. Renewable energy source selection using analytical hierarchy process and quality function deployment: A case study. Proceeding published in Science Technology Engineering and Management (ICONSTEM), Chennai, India, IEEE Xplore Digital library.
   Google Scholar
• Anagnostopoulos, K. P., M. Gratziou, and A. P. Vavatsikos. 2007. Using the Fuzzy analytic hierarchy process for selecting wastewater facilities at prefecture level. European Water 19:15–24.
   Google Scholar
• Article: Health and Sustainable Development (Air Pollution), World Health Organisation. 2016. https://www.who.int/sustainable-development/transport/health-risks/air-pollution/en/.
   Google Scholar
• Article: How much Air Pollution comes from Cars? 2012. https://auto.howstuffworks.com/air-pollution-from-cars.htm.
   Google Scholar
• Article: Motor Vehicle. 2019. https://en.wikipedia.org/wiki/Motor_vehicle.
   Google Scholar
• Article: Motor Vehicle Production – Statistics & Facts. 2018. https://www.statista.com/topics/975/motor-vehicle-production/.
   Google Scholar
• Article: Solar Vehicle. 2019. https://en.wikipedia.org/wiki/Solar_vehicle.
   Google Scholar
• Article: Solar vehicles – Pros and Cons. 2015. https://www.cartrade.com/blog/2015/greens/solar-cars-pros-and-cons-1181.html.
   Google Scholar
• Articles: The world’s first graphene car is unveiled in Manchester. 2016. https://www.bbc.com/news/uk-england-manchester-36866915.
   Google Scholar
• Bhattacharya, A., B. Sarkar, and S. K. Mukherjee:. 2004. A new method for plant location selection: A holistic approach. International Journal of Industrial Engineering: Theory, Applications and Practice 11 (4):330–38.
   Web of Science ®Google Scholar
• Bhattacharya, A., B. Sarkar, and S. K. Mukherjee. 2005. Integrating AHP with QFD for robot selection under requirement perspective. International Journal of Production Research 43 (17):3671–85. doi:10.1080/00207540500137217.
   Web of Science ®Google Scholar
• Chang, Y. H., and C. H. Yeh. 2002. A survey analysis of service quality for domestic airlines. European Journal of Operational Research 95:649–55. doi:10.1016/0377-2217(95)00300-2.
   Web of Science ®Google Scholar
• Chang, Y. H., C.-H. Yeh, and S. Y. Wang. 2007. A survey and optimization-based evaluation of development strategies for the air cargo industry. International Journal of Production Economics 106:550–62. doi:10.1016/j.ijpe.2006.06.016.
   Web of Science ®Google Scholar
• Chatterjee, N. C., and G. K. Bose. 2013. Selection of vendors for wind farm under Fuzzy MCDM environment. International Journal of Industrial Engineering Computations 4 (4):535–46.
   Google Scholar
• Chatterjee, P., V. M. Athawale, and S. Chakraborty. 2011. Materials selection using complex proportional assessment and evaluation of mixed data methods. Materials & Design 32 (2):851_860. doi:10.1016/j.matdes.2010.07.010.
   Web of Science ®Google Scholar
• Cho, J. G., J. S. Koo, and H. S. Jung. 2016. A lightweight design approach for an EMU car body using a material selection method and size optimization. Journal of Mechanical Science and Technology 30 (2):673_681. doi:10.1007/s12206-016-0123-8.
   Web of Science ®Google Scholar
• Ecer, F. 2014. A hybrid banking websites quality evaluation model using AHP and COPRAS-G: A Turkey case. Technological and Economic Development of Economy 20 (4):758–82. doi:10.3846/20294913.2014.915596.
   Web of Science ®Google Scholar
• Findik, F., and K. Turan. 2012. Materials selection for lighter wagon design with a weighted property index method. Materials & Design May 37:470–477. doi: 10.1016/j.matdes.2012.01.016.
   Web of Science ®Google Scholar
• Garg, R., R. Kumar, and S. Garg. 2018. MADM-based parametric selection and ranking of E-learning websites using fuzzy COPRAS. IEEE Transactions on Education 1–8. doi:10.1109/TE.2018.2814611.
   Web of Science ®Google Scholar
• Govindan, K., K. M. Shankar, and D. Kannan. 2016. Sustainable material selection for construction industry - A hybrid multi criteria decision making approach. Renewable & Sustainable Energy Reviews Mar 55:1274–88. doi: 10.1016/j.rser.2015.07.100.
   Web of Science ®Google Scholar
• Gupta, A., R. Kumar, and P. C. Tewari. 2014. Ranking of inventory policies using distance based approach method. International Journal of Mechanical and Mechatronics Engineering 8 (2):395–400.
   Google Scholar
• Helms, H., and U. Lambrecht. 2007. The potential contribution of lightweighting to reduce transport energy consumption. International Journal of Life Cycle Assessment 12 (1):58–64.
   Google Scholar
• Joost:, W. J. 2012. Reducing vehicle weight and improving U.S. Energy efficiency using integrated computational materials engineering. The Journal of the Minerals, Metals & Materials Society 64 (9). doi:10.1007/s11837-012-0424-z.
   Google Scholar
• Joseph, P., and S. Tretsiakova-McNally. 2010. Sustainable non-metallic building materials. Sustainability 2 (2):400_427. doi:10.3390/su2020400.
   Google Scholar
• Kiani, M., I. Gandikota, M. R. Rohani, and K. Motoyama. 2014. Design of lightweight magnesium car body structure under crash and vibration constraints. Journal of Magnesium and Alloys 2:99–108. doi:10.1016/j.jma.2014.05.005.
   Google Scholar
• Liou, T. S., and M. J. Wang. 1992. Ranking Fuzzy numbers with integral value. Fuzzy Sets and Systems 50:247–55. doi:10.1016/0165-0114(92)90223-Q.
   Web of Science ®Google Scholar
• Liu, H.-C., L. Liu, and J. Wu. 2013. Material selection using an interval 2-tuple linguistic VIKOR method considering subjective and objective weights. Materials & Design December 52:158_167. doi: 10.1016/j.matdes.2013.05.054.
   Web of Science ®Google Scholar
• Liu, H.-C., J.-X. You, L. Zhen, and X.-J. Fan. 2014. A novel hybrid multiple criteria decision making model for material selection with target-based criteria. Materials & Design August 60:380_390. doi: 10.1016/j.matdes.2014.03.071.
   Web of Science ®Google Scholar
• Mayyas, A., Q. Shen, A. Mayyas, M. abdelhamid, D. Shan, A. Qattawi, and M. Omar. 2011. Using quality function deployment and analytical hierarchy process for material selection of body-in-white. Materials & Design May 32:2771–82. doi: 10.1016/j.matdes.2011.01.001.
   Web of Science ®Google Scholar
• Poulikidou, S., C. Schneider, A. Björklund, S. Kazemahvazi, P. Wennhage, and D. Zenkert. 2015. A material selection approach to evaluate material substitution for minimizing the life cycle environmental impact of vehicles. Materials & Design October 83:704–12. doi: 10.1016/j.matdes.2015.06.079.
   Web of Science ®Google Scholar
• Pu, Y., F. Ma, J. Zhang, and M. Yang. 2018. Optimal lightweight material selection for automobile applications considering multi-perspective indices. IEEE Access, Special edition on multimedia analysis for internet-of-things, 8591–98. doi:10.1109/ACCESS.2018.2804904.
   Google Scholar
• Roy, M. K., A. Roy, and B. B. Pradhan. 2014. Non-traditional machining process selection using integrated Fuzzy AHP and QFD techniques: A customer perspective. Production and Manufacturing Research 2 (1):530–5499. doi:10.1080/21693277.2014.938276.
   Google Scholar
• San-José, J. T., I. Garrucho, R. Losada, and J. Cuadrado. 2007. A proposal for environmental indicators towards industrial building sustainable assessment. International Journal of Sustainable Development and World Ecology 14 (2):160_173. doi:10.1080/13504500709469716.
   Web of Science ®Google Scholar
• Sawant, V. B., S. S. Mohite, and R. Patil. A decision-making framework using a preference selection index method for automated guided vehicle selection problem. International Conference on Technology Systems and Management (ICTSM), Mumbai, India. 2011, Proceedings published by International Journal of Computer Applications® (IJCA).
   Google Scholar
• Shabbiruddin, S. C. 2011. Load distribution among distribution substation and feeder routing using fuzzy clustering and context aware decision algorithm. Journal of Electrical Engineering 11:57–67.
   Google Scholar
• Shabbiruddin, S. C., A. Ray, and K. S. Sherpa. 2018. Optimal location of sub-station using Q-GIS and multi-criteria decision making approach. International Journal of Decision Support System Technology (IJDSST) 10 (2):65–79. doi:10.4018/IJDSST.2018040104.
   Web of Science ®Google Scholar
• Srihari, K., and S. Parth Raval. “Selection of an electric motor for an equivalent internal combustion engine by TOPSIS method”, springer international conference on Emerging Trends And Advances in Electrical Engineering and Renewable Energy, ETAEERE 2016. Proceedings advances in power systems and energy management, lecture notes in electrical engineering, Vol. 436, Singapore: Springer.
   Google Scholar
• Taha, Z., R. Passarella, N. Abd Rahim, A. Ahmad-Yazid, and J. M. Sah 2010. Development of a solar car. The 11th Asia Pacific industrial engineering and management systems conference, Melaka, Malaysia.
   Google Scholar
• Tian, G. D., J. W. Chu, H. S. Hu, and H. L. Li. 2014. Technology innovation system and its integrated structure for automotive components remanufacturing industry development in China. Journal of Cleaner Production December 85:419–432. doi: 10.1016/j.jclepro.2014.09.020.
   Web of Science ®Google Scholar
• Tian, G. D., H. Zhang, Y. Feng, H. Jia, C. Zhang, Z. Jiang, Z. Li, and P. Li. 2017. Operation patterns analysis of automotive components remanufacturing industry development in China. Journal of Cleaner Production October 164:1363–1375. doi: 10.1016/j.jclepro.2017.07.028.
   Web of Science ®Google Scholar
• Tian, G. D., H. H. Zhang, Y. X. Feng, D. Q. Wang, Y. Peng, and H. F. Jia. 2018. Green decoration materials selection under interior environment characteristics: A grey-correlation based hybrid MCDM method. Renewable & Sustainable Energy Reviews January 81:682–692. doi: 10.1016/j.rser.2017.08.050.
   Web of Science ®Google Scholar
• Tisza, M., and I. Czinege. 2015. Comparative study of the application of steels and aluminium in lightweight production of automotive parts. International Journal of Lightweight Materials and Manufacture 1:229–38. doi:10.1016/j.ijlmm.2018.09.001.
   Google Scholar
• Wang, Y. M., Y. Luo, and Z. Hua. 2007. On the extent analysis method for Fuzzy AHP and its applications. European Journal of Operational Research 186:735–47. doi:10.1016/j.ejor.2007.01.050.
   Web of Science ®Google Scholar
• Witik, R. A., J. Payet, V. Michaud, C. Ludwig, and J. A. E. Manson. 2011. Assessing the life cycle costs and environmental performance of lightweight materials in automobile applications. Composites Part A: Applied Science and Manufacturing 42 (11):1694–709. doi:10.1016/j.compositesa.2011.07.024.
   Web of Science ®Google Scholar
• Wu, L., W. Yang, J. Xu, and G. Yao. 2013. Wear resistance of graphite/aluminium composites that prepared by stirring casting. Advanced Material Research683: 333–338.
   Google Scholar
• Zadeh, L. A. 1965. Fuzzy sets. Infection Control 8 (3):338–53. doi:10.1016/S0019-9958(65)90241-X.
   Google Scholar
• Zavadskas, E. K., and J. Antucheviciene. 2007. Multiple criteria evaluation of rural building’s regeneration alternatives. Building and Environment 42 (1):436–51. doi:10.1016/j.buildenv.2005.08.001.
   Web of Science ®Google Scholar
• Zavadskas, E. K., and A. Kaklauskas. 1996. Multiple criteria evaluation of buildings. Vilnius, Lithuania: Technika.
   Google Scholar
• Zhang, H. H., Y. Peng, G. D. Tian, D. Q. Wang, P. P. Xie, and Y. Deng. 2017. Green material selection for sustainability: A hybrid MCDM approach. PLoS One 12 (5):e0177578. doi:10.1371/journal.pone.0177578.
   PubMed Web of Science ®Google Scholar
• Zhou, -C.-C., G.-F. Yin, and X.-B. Hu. 2009. Multi-objective optimization of material selection for sustainable products: Artificial neural networks and genetic algorithm approach. Materials & Design 30 (4):1209–1215. doi:10.1016/j.matdes.2008.06.006.
   Web of Science ®Google Scholar
• Zimmermann, H. J. 1996. Fuzzy set theory—And its applications. Boston, MA: Kluwer.
   Google Scholar
• Zolfani, S. H., I.-S. Chen, N. Rezaeiniya, and J. Tamo˘gaitien˙e. 2012. A hybrid MCDM model encompassing AHP and COPRAS-G methods for selecting company supplier in iran. Technological and Economic Development of Economy 18 (3):529–43. doi:10.3846/20294913.2012.709472.
   Web of Science ®Google Scholar