Journal of
Engineering and Technology Research

  • Abbreviation: J. Eng. Technol. Res.
  • Language: English
  • ISSN: 2006-9790
  • DOI: 10.5897/JETR
  • Start Year: 2009
  • Published Articles: 183

Table of Content: December 2010; 2(12)

December 2010

Modified cumulative sum quality control scheme

  A modified two-sided cumulative sum (MOCUSUM) quality control scheme is proposed that improves CUSUM (cumulative-sum) in average run length (ARL) properties. The MOCUSUM scheme is based on single cumulative sum that may be positive or negative and hence can be generalized to multivariate MOCUSUM scheme easily. In this scheme, the ‘large’ CUSUM values are shrunk towards zero, but the...

Author(s): Alpaben K. Patel and Jyoti Divecha

  • Article Number: CA27F8A10679

December 2010

Multi-criteria decision making using fuzzy logic approach for evaluating the manufacturing flexibility

  Manufacturing flexibility is the ability of a manufacturing system to cope with environmental changes effectively and efficiently. Most operation managers cannot provide exact numerical values to express opinions based on human perception due to ill defined and ambiguity of flexibility assessment. However, fuzzy logic provides a useful tool to deal with problems in which the phenomena are imprecise and vague....

Author(s): S. R. Ansari, P. K. Mittal and Ritu Chandna

  • Article Number: F83143A10682

December 2010

Genetic algorithm based diamagnetic shift investigations of the GaAs0.7Sb0.3/GaAs and Al0.3Ga0.7As quantum wells

  In this work we have presented some other aspects of the recently introduced GMV method (Genetic Monte Carlo Variational method). The CPU time of the method is computed and then we have applied the method to As0.7Sb0.3/GaAs quantum well to investigate the effect of the well width and Sb fraction on the diamagnetic shift. The effect of the Al doping instead of the Sb is also investigated.   Key...

Author(s): M. Solaimani, M. Izadifard, H. Arabshahi, M. R. Sarkardehi and M. Salmani

  • Article Number: 6EDCCE010685

December 2010

Some new aspect of the application of Genetic algorithm to investigate nanostructures

  Some new aspect of the application of Genetic algorithm to nanostructures is presented. We followed a method that is produced by using the Genetic Algorithm, Variation method and Monte Carlo integration Scheme (GMV method). Computational algorithm, deficiencies and advantages of the method is described and it is applied to a GaAs0.7Sb0.3/GaAs quantum well.   Key words: Genetic algorithm,...

Author(s): M. Solaimani, M. Izadifard, H. Arabshahi, M. R. Sarkardehi and M. Salmani

  • Article Number: D6FEF3710687