Multi-Attribute Decision Making
Ahmad Jafarnejad Chaghoshi; seyed mahdi rouhani poor; hannan Amoozad Mahdiraji; Mohammad Ehsanifar
Abstract
Purpose: product quality includes three variables: design, conformance and use. Measuring the quality of products with respect to all three quality variables is one of the important challenges of the country. Therefore, the present study was an attempt to figure out how quality factors are related to ...
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Purpose: product quality includes three variables: design, conformance and use. Measuring the quality of products with respect to all three quality variables is one of the important challenges of the country. Therefore, the present study was an attempt to figure out how quality factors are related to each other and to determine the relative weight of these factors and to provide a product quality measurement model using hesitant fuzzy linguistic terms.
Methodology: The present study falls into the category of applied studies in terms of objective and can be recognized as a quantitative study in terms of methodology. The population of the study incorporates academic experts and university-industry experts. Sample size (n=10) was determined using the purposeful and snowball sampling method. Due to the uncertainty of experts' in determining the mutual impact of product quality factors, the DEMATEL technique was combined with hesitant fuzzy logic, the resulting technique was then integrated with the network analysis process (DANP), and the final model was extracted. Thanks to this procedure, the present study can be deemed innovative.
Findings: The cause and effect relationships between the main factors of product quality were identified and extracted using DEMATEL technique. Then, taking into account the intensity of the mutual impact of quality factors on each other and using the DNAP technique, the product quality factors were ranked in three dimensions: design quality, conformance and use. According to the findings, management factors and resources (employees-infrastructure-environment) were identified as causal factors that affect other factors. On the other hand, the DANP output showed that "design quality" is the most important factor in product quality. so, with the relative weights of the factors, the product quality measurement model was obtained.
Originality/ value: Researchers and industrial managers at the national level will be able to identify the relationship between quality factors and use this model to measure product quality or the quality rate of goods according to relative weight of each factor.
Financial modeling
Abdorreza Asadi
Abstract
One way to reduce investment risk is to form assets portfolio. In this study, a multi-criteria analysis is employed to select equities using ANP method. For this purpose, listed firms in Tehran Stock Exchange were divided into six industrial groups and their data collected between 2016 and 2017 to calculate ...
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One way to reduce investment risk is to form assets portfolio. In this study, a multi-criteria analysis is employed to select equities using ANP method. For this purpose, listed firms in Tehran Stock Exchange were divided into six industrial groups and their data collected between 2016 and 2017 to calculate financial ratios and then two ranking methods such as DEMATEL and ANP were employed. The aim of this study is to use financial ratios as key indicators to find out their interactions using DEMATEL method, and then to recognize the importance of identifying indicators, we have used ANP techniques to determine weight of the variables. Finally, after collecting data related to selected financial indices and obtained weights, number of 185 companies in six separated industries were ranked by Excel software and their priority in both total companies and related industries was identified. The results can be used by investors, investment funds and financial advisors to determine the optimal portfolio and help to identify superior companies.