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 ...
Read More
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.
Multi-Attribute Decision Making
Maryam Musavi-Nogholi; Mohammad Taghi Rezvan
Abstract
Purpose: Futurology of the aluminum industry, as a strategic industry and one of the sustainable development pillars, is contemplated by the government strategists in order to know future against unpredictable elements. The purpose is to identify and analyze the upcoming scenarios of the aluminum industry ...
Read More
Purpose: Futurology of the aluminum industry, as a strategic industry and one of the sustainable development pillars, is contemplated by the government strategists in order to know future against unpredictable elements. The purpose is to identify and analyze the upcoming scenarios of the aluminum industry and, finally, its market analysis, to draw a correct vision of the future and choose the appropriate strategy in this industry.Methodology: Firstly, the key variables affecting the development of the aluminum industry are identified through interviews with experts and specialists in the industry, and the probability of variables is determined by completing a questionnaire; and then based on the extracted variables, specific scenarios are developed. The interactions of the variables will be determined using the fuzzy DEMATEL method and the matrix obtained from this method will be part of the supermatrix of the analysis network process. Game theory will be used in two forms, considering competition and or cooperation among players to analyze the aluminum industry market, such that one can find balancing points among existing situations of players’ strategic options and scenarios of this industry.Findings: The results indicate that the possibility of "increasing inflation" is the most likely and "increasing investment in the country" is the least likely variable, and "lifting sanctions" is the most influential variable and "production and export" is the most impressive variable. Five scenarios as "Iran's difficult scenario in the ordinary world", "Iran's catastrophic scenario in the ordinary world space", "disaster scenario for Iran in the difficult global space", "Iran's developing scenario in the ordinary world space", and "Iran's favorable space scenario in the difficult world space "were ranked. Three main players, namely policymakers, smalters and downstream, were identified and 13 strategic options in the form of investment, pricing, exports, and energy rates in different directions and shapes were extracted. Players’ preferences in different scenarios are explained in the form of 12 modes and, selected modes are extracted for each scenario based on different equilibrium points.Originality/Value: Futurology has been the main subject of this paper, which, by analyzing the aluminum industry and the activities of the main players active in this industry, paints a picture of the future of this industry, including the entire value chain in a five-year horizon.
Multi-Attribute Decision Making
Mehdi Ajalli; Nima Saberifard; Babak Zinati
Abstract
Purpose: Performance measurement in humanitarian logistics is considered as one of the basic elements of successful humanitarian operations at operational, tactical and strategic levels. The main purpose of this research is to identify and to extract key performance indicators in humanitarian logistics, ...
Read More
Purpose: Performance measurement in humanitarian logistics is considered as one of the basic elements of successful humanitarian operations at operational, tactical and strategic levels. The main purpose of this research is to identify and to extract key performance indicators in humanitarian logistics, evaluating the indicators and explaining the relationship between them using path analysis approach and decision-making techniques of Fuzzy DEMATEL and SWARA and outline future research opportunities to measure performance in humanitarian logistics.Methodology: Performance measurement in humanitarian logistics is considered as one of the basic elements of successful humanitarian operations at operational, tactical and strategic levels. The main purpose of this research is to identify and to extract key performance indicators in humanitarian logistics, evaluating the indicators and explaining the relationship between them using path analysis approach and decision-making techniques of Fuzzy DEMATEL and SWARA and outline future research opportunities to measure performance in humanitarian logistics.Findings: The final finding of relationship analysis showed that "donation to delivery time" is the most influential indicator in terms of influencing other indicators. Finally, considering the sensitivity of ranking these indicators in terms of importance, the opinions of 20 experts and decision-making techniques SWARA used. The final output of this technique indicates the extraction of the fourth functional index i.e. "evaluation accuracy includes: speed and accuracy of committed donation and relief items delivered to stakeholders and how to assess the needs of stakeholders by employees" with the highest weight in the first rank as the most important functional indicator of humanitarian logistics and the second functional index i.e. "donation time includes "The delivery time of relief items in the country of destination after a donation and the collective remembrance of the donation" is important in the last rank.Originality/Value: In this study, performance indicators in humanitarian logistics were evaluated and ranked using a combined approach of path analysis and decision-making techniques (fuzzy DEMATEL and SWARA) and based on the research results, executive and research proposals were presented.