___

• 1. Li, C., Tang, Y., Cui, L., Li, P., A quantitative approach to analyze carbon emissions of CNC-based machining systems, Int. J. Of Advanced Manufacturing Tech., 26 (2015), 911–922.
• 2. Herrmann, C., Thiede, S., Process chain simulation to foster energy efficiency in manufacturing, CIRP Journal of Manufacturing Science and Technology, 1 (2009) 4, 221–229.
• 3. Tian, G. D., Liu, Y. M., Ke, H., Chu, J. W., Energy evaluation method and its optimization models for process planning with stochastic characteristics: A case study in disassembly decision making, Computers and Industrial Engineering, 9(2012) 2, 107– 112.
• 4. Rahimifard, S., Seow, Y., Childs, T., Minimizing embodied product energy to support energy efficient manufacturing, Manufacturing Technology, 59(2010) 1, 25– 28.
• 5. Gutowski, T. G., The carbon and energy intensity of manufacturing, Proceedings of the 40th CIRP international manufacturing systems, 2007.
• 6. Neugebauer, R., Wertheim, R., Harzbecker, C., Energy and resources efficiency in the metal cutting industry, Proceedings of the 8th global conference on sustainable manufacturing, 36, 247–257, 2011.
• 7. Diaz, N., Redelsheimer, E., Dornfeld, D., Energy consumption characterization and reduction strategies for milling machine tool use, Proceedings of 18th CIRP international conference on lifecycle engineering, 263– 267, 2011.
• 8. Jia, S., Tang, R. Z., Lv, J., Therblig-based energy demand modeling methodology of machining process to support intelligent manufacturing, Journal of Intelligent Manufacturing, 25 (2014) 5, 913-931.
• 9. Krishnan, N., Raoux, S., Dornfeld, D., Quantifying the environmental foot print of semiconductor equipment using the environmental value systems analysis (EnVS), IEEE transactions on Semiconductor Manufacturing, 17( 2004) 4, 554–561.
• 10. Jeswiet, J., Kara, S., Carbon emissions and CES in manufacturing, CIRP Annals- Manufacturing Technology, 57 (2008) 1, 17– 20, 2008.
• 11. Tridech, S., Cheng, K., Low carbon manufacturing: Characterisation, theoretical models and implementation, International Journal of Manufacturing Research, 6 (2008) 2, 110–121.
• 12. Diaz, N., Choi, S., Helu, M., Chen, Y. F., Jayanathan, S., Yasui,Y., Kong, D., Pavanaskar, S., Dornfeld, D., Machine tool design and operation strategies for green manufacturing, Proceedings of 4th CIRP international conference on high performance cutting, 1–6, 2010.
• 13. Song, J. S., Lee, K. M., Development of a low-carbon product design system based on embedded GHG emissions, Resources Conservation and Recycling, 54 (2010) 9, 547–556.
• 14. Rajemi, M. F., Mativenga, P. T., Aramcharoen, A., Sustainable machining: Selection of optimum turning conditions based on minimum energy considerations, Journal of Cleaner Production, 18 (2010) 10–11, 1059–1065.
• 15. Le, T. P. N., Lee, T. R., Model selection with considering the CO2 emission alone the global supply chain, Journal of IntelligentManufacturing, 24 (2013) 4, 653- 672.
• 16. Halevi, Y., Carpanzano, E., Montalbano, G., Koren, Y., Minimum energy control of redundant actuation machine tools, Manufacturing Technology, 60 (2011) 1, 433–436.
• 17. Chen, Q. X., Kang, C. Q., Xia, Q., Guan, D. B., Preliminary exploration on low-carbon technology roadmap of China’s power sector, Energy, 36 (2011) 3, 1500–1512.
• 18. Fang, K., Uhana, N., Zhao, F., Sutherland, J. W., A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction, Journal of Manufacturing Systems, 30(2011) 4, 234– 240.
• 19. Duflou, J. R., Sutherland, J. W., Dornfeld, D., Herrmann, C., Jeswiet, J., Kara, S., et al., Towards energy and resource efficient manufacturing: A processes and systems approach, Manufacturing Technology, 61(2012) 2, 587–609.
• 20. Canadell, J. G., Quèrè, C. L., & Raupacha, M. R., Field, C.B., Buitenhuis, E.T., Ciais , P., Conway, T.J., Gillett, N.P., Houghton, R. A., Marland, G., Contributions to accelerating atmospheric CO2 growth from economic activity, carbon intensity, and efficiency of natural sinks, Proceedings of the National Academy of Sciences of the USA, 104(47), 18866–18870, 2007.
• 21. İç, Y.T., Yıldırım, S., Çok Kriterli Karar Verme Yöntemleriyle Birlikte TAGUCHI Yöntemini Kullanarak Bir Ürünün Tasarımının Geliştirilmesi, Gazi Üniv. Müh. Mim. Fak. Der., 27(2012) 2, 447-458.
• 22. Tong, L.I., Chen, C.C., Wang, C.H., Optimization of multi-response processes using the VIKOR method, International Journal of Advanced Manufacturing Technology, 31(2007), 1049–1057.
• 23. Lan, T-S.,Taguchi optimization of multi objective CNC machining using TOPSIS, Information Technology Journal, 8(2009) 6, 917-922.