[1]
Douglas W. Hubbard. How to Measure Anything: Finding the Value of Intangibles in Business, pg. 46, John Wiley & Sons, Canada, (2007).
Google Scholar
[2]
Doros N. Theodorou. Progress and outlook in Monte Carlo simulations, Industrial and Engineering Chemistry Research, 2010, Vol. 49, No. 7, pp.3047-3058.
DOI: 10.1021/ie9019006
Google Scholar
[3]
Hendricks J.S. Review: the Monte Carlo method for radiation protection and shielding, Transactions of the American Nuclear Society, 2009, Vol. 100, pp.531-2.
Google Scholar
[4]
Brown Forrest B. Review of Monte Carlo criticality calculations - Convergence, bias, statistics, Proc. International Conference on Mathematics, Computational Methods and Reactor Physics 2009(M&C2009), American Nuclear Society, May 2009, pp.4-15.
Google Scholar
[5]
Newhauser Wayne, Giebeler Annelise, Koch Nick, Fontenot Jonas1, Yuanshui Zheng and Kirk Bernadette. Review of Monte Carlo applications in proton cancer therapy, Proc. American Nuclear Society's 14th Biennial Topical Meeting of the Radiation Protection and Shielding Division, American Nuclear Society, April 2006, 249-251.
Google Scholar
[6]
Lin Chih-Young, Huang Wei-Hsin, Jeng Ming-Chang and Doong Ji-Liang. Study of an assembly tolerance allocation model based on Monte Carlo simulation, Journal of Materials Processing Technology, 1997, Vol. 70, No. 1-3, pp.9-16.
DOI: 10.1016/s0924-0136(97)00034-4
Google Scholar
[7]
Wu Fangcai, Dantan Jean-Yves, Etienne Alain, Siadat Ali and Martin Patrick. Improved algorithm for tolerance allocation based on Monte Carlo simulation and discrete optimization, Computers and Industrial Engineering, May 2009, Vol. 56, No. 4, pp.1402-1413.
DOI: 10.1016/j.cie.2008.09.005
Google Scholar
[8]
Wang Taiyong, Xiong Yuedong, Lu Shizhong and GUO Xiaojun. Application of Monte Carlo Method to Dimension and Tolerance Design, Transactions of the Chinese Society for Agricultural Machinery, May 2005, Vol. 36, No. 5, pp.101-104.
Google Scholar
[9]
Corlew Gordon T. and Oakland Fred. MONTE CARLO SIMULATION FOR SETTING DIMENSIONAL TOLERANCES, Machine Design, May 1976, Vol. 48, No. 11, pp.91-95.
Google Scholar
[10]
Dantan Jean-Yves and Qureshi Ahmed-Jawad. Worst-case and statistical tolerance analysis based on quantified constraint satisfaction problems and Monte Carlo simulation & CAD Computer Aided Design, January 2009, Vol. 41, No. 1, pp.1-12.
DOI: 10.1016/j.cad.2008.11.003
Google Scholar
[11]
Bruyère Jèrôme1, Dantan Jean-Yves, Bigot Régis and Martin Patrick. Statistical tolerance analysis of bevel gear by tooth contact analysis and Monte Carlo simulation, Mechanism and Machine Theory, October 2007, Vol. 42, No. 10, pp.1326-1351.
DOI: 10.1016/j.mechmachtheory.2006.11.003
Google Scholar
[12]
Singh Pradeep K., Jain Satish C. and Jain Pramod K. Tolerance analysis of mechanical assemblies using Monte Carlo simulation, International Journal of Industrial Engineering : Theory Applications and Practice, June 2003, Vol. 10, No. 2, pp.188-196.
Google Scholar
[13]
Fang Jun and Xu Cheng. The application of Monte Carlo method in gun components reliability analysis, Journal of Nanjing University of Science and Technology, December 2002, Vol. 26, No. 6, pp.604-607, 624.
Google Scholar
[14]
Zhao Dan, Chen Shou-huan and Chen Qi-lian. Reliability design of gears based on Monte Carlo method, Applied Science and Technology, August 2007, Vol. 34, No. 8, pp.42-44.
Google Scholar
[15]
Guo Yuan-jian, Li Qiang and Zheng Zhao-hui. Numerical simulation for reliability analysis of circular arc gear base on Monte-Carlo method, Modular Machine Tool & Automatic Manufacturing Technique, 2009, No. 10, pp.30-33.
Google Scholar
[16]
JCGM 101: 2008. Evaluation of measurement data - Supplement 1 to the Guide to the expression of uncertainty in measurement, - Propagation of distributions using a Monte Carlo method. Joint Committee for Guides in Metrology.
Google Scholar
[17]
Chen Guoqiang and Zhao Junwei. Uncertainty of straightness error assessment with minimum condition, Transactions of the Chinese Society for Agricultural Machinery, October 2008, Vol. 39, No. 1, p.169~171.
Google Scholar
[18]
HUANG Jun-jie and ZHAO Junwei. Sensitivity analysis of spindle platform structure parameters of a series-parallel robot, Journal of Jiaozuo Institute of Technology (Natural Science), November 2004, Vol. 23, No. 6, pp.495-463.
Google Scholar
[19]
LU Chun-mei, XIE Li-yang, HUANG Yong-gang and DU Yong-ying. Monte-Carlo simulation for error analysis of 3-TPT parallel platform, Journal of Engineering Design, August 2007, Vol. 14, No. 4, pp.304-307.
Google Scholar
[20]
CHEN Shanjun and GAO Yuanlou. Application of Monte-Carlo method in analysis of the workspace of Tricep robot, Machine Tool& Hydraulics, November 2006, No. 11, pp.62-63.
Google Scholar
[21]
Fan Botao and Zhang Liang. Application of Monte-Carlo method in analysis of the working space of spray robot, Journal of Shandong University of Technology, April 1999, Vol. 29, No. 2, pp.146-151.
Google Scholar
[22]
Li Guo-yun and Wang Zhong. Mechanical optimal design using Monte-Carlo method, Journal of Panzhihua University, December 2009, Vol. 26, No. 6, pp.63-66.
Google Scholar
[23]
ZHANG Li, ZHOU Zhi-ge and HUANG Wen-zhen. Fault Diagnosis Method under the Condition of Redundant Constraint Based on Monte Carlo Simulation, Journal of Shanghai Jiaotong University, January 2001, Vol. 35, No. 1, pp.76-79.
Google Scholar
[24]
James E. Gentle. Random Number Generation and Monte Carlo Methods, Second Edition, United States of America, Springer, (2005).
Google Scholar
[25]
Chen Guoqiang, Shang Xianguang, and Zhao Junwei. Principle and realization for generating data sequence with errors, Journal of Henan Polytechnic University(Natural Science), October 2007, vol. 27, No. 5, pp.560-564.
Google Scholar