Adel Azar; Seyyed Haydar Mirfakhraddiny; Ali Asghar Anvari Rostamy
Volume 12, Issue 4 , January 2009, , Pages 1-35
Abstract
Toyday Six sigma method is known as an efficient and effective method of solving the problem.The most common methodology in six sigma is DMAIC that includes five steps: Defenition, Measurement, Analysis, Improvement and Control. One of the most important bases of six sigma methodology is the use a lot ...
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Toyday Six sigma method is known as an efficient and effective method of solving the problem.The most common methodology in six sigma is DMAIC that includes five steps: Defenition, Measurement, Analysis, Improvement and Control. One of the most important bases of six sigma methodology is the use a lot of statistical techniques and methods for data analysis and identification of the basical cause of defects. On the other hand, one of the prominences of this method comparing to the other improvement methods is the use of statistical methods so that by the use of statistical tools in analysis phase one can measure the effects of potential causes on critical factors. So far, many classifications of statistical techniques and statistical tests have been offered in the analysis phase of six sigma, Which are often divided into two parts: parametric and nonparametric. Of course, there are a lot of difficulties for using these techniques.
The aim of this research in the first sage was to recognize the inadequencies and lack of statistical tests in the analysis phase; then, to present a technique to remove the difficulties by using Multiple Attribute Decision Making in the operation research. The results of this research reveated three classes of major difficulties using the statistical tests:
1- Most of nonparametric statistical tests have less confidence and strenghth than parametric tests.Futher, they do not enjoy sufficient accurancy.
2- When the amount of the considerated data or the sample size is not large enough.
3- In some cases, no statistical tests(either parametric or nonparametric) is proportional to the conditions of six sigma research.
In this research, we reviewed the valid scientific sources available in the field of MADM (Multi Attribute Decisin Making) and the types of classification of these methods to remove defects. At the end, a new method
(algorithm) to apply MADM in the analyse phase of six sigma was developed.
The algorithm pays attention to the Decision Maker, MADM characteristics, the problem characteristics and chracteristics of the obtained solution. Applying of this
new algorithm, in the cases that statistical tests do not have sufficient strength and accurancy, can strongly increase the efficiency of six sigma methodology.
Anvary Rostamy Ali Asghar; Behrooz Lari Semnani
Volume 11, Issue 20 , December 2007, , Pages 1-29
Abstract
Capital markets play important roles in economic development of countries and financial policy makers are very interested to have more information about the stock markets attractiveness for investors. One of the most important questions about the stock markets is about the relationship between the attraction ...
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Capital markets play important roles in economic development of countries and financial policy makers are very interested to have more information about the stock markets attractiveness for investors. One of the most important questions about the stock markets is about the relationship between the attraction of stock market investments with out-of-stock market investments. This paper aimed at investigating the relationship between the out of stock investments (bank deposits and governmental industrial development bonds investments) with the attractiveness of investing in Tehran Stock Exchange (market liquidity and capitalization). The results, at 95% confidence level, revealed that there is a significant positive association between these two markets (monetary and capital markets). The results also implied that investment in these two markets not only is not competitive but complementary.Accordingly, it is concluded that out-of-stock market investments do not reduce stock market investment attraction. This finding is very important when investors will build up a portfolio investment in Iranian markets.
Ali Asghar Anvary Rostamy; Seyed Abdoljaber Ghodratian Kashan
Volume 8, Issue 20 , December 2004, , Pages 109-135
Abstract
One of the most important difficulties with existing companies ranking models is their emphasis on just one critical index, such as income or sale. In other word, they rank companies in terms of their activity size not their performance, excellence and advantages. The aim of this paper is to remove this ...
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One of the most important difficulties with existing companies ranking models is their emphasis on just one critical index, such as income or sale. In other word, they rank companies in terms of their activity size not their performance, excellence and advantages. The aim of this paper is to remove this difficulty by designing a general comprehensive raking model based on companies performance, excellence and advantages. The proposed model is an extension to Balanced Score Card (BSC) model.
It conists of 6 major components named financial, internal process, customer, development and innovation, human resources and finally management. It also includes 422 indices, and applies MADM technique for weighting indices and final ranking. The model is also practically tested to rank 8 major Iranian automobile makers based on 40 existing data in Tehran Stock Exchange. The results of ranking provided at the ending section of the paper.
