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
Fatemeh Bahman; Alireza Shahraki; Sayyid Ali Banihashemi
Abstract
Purpose: Based on the uncertainty in the supply chains, one of the important issues for public health is to assess the resilience of drug supply chains. The purpose of the current research is to determine and weigh the effective criteria on the resilience of the supply chain and the ranking of drug distribution ...
Read More
Purpose: Based on the uncertainty in the supply chains, one of the important issues for public health is to assess the resilience of drug supply chains. The purpose of the current research is to determine and weigh the effective criteria on the resilience of the supply chain and the ranking of drug distribution companies based on the criteria.
Methodology: The current research is a quantitative-qualitative and applied research. The statistical population was 83 people and the sample was 68 people based on Morgan's table with a margin of error of 5%, which were selected by simple random sampling. Data collection was implemented with field method, library studies, interviews and questionnaires. The questionnaire was approved by experts and its’ reliability with Cronbach's alpha coefficient of 0.965. The percentage of personal characteristics were calculated using SPSS-26 software. Due to linguistic uncertainty, the weighting of the criteria was done with the fuzzy SWARA decision-making method and the ranking of the options for more accurate evaluation was performed by the interval type-2 fuzzy CoCoSo method in Excel software.
Findings: The identified criteria in order of importance are knowledge management, agility, readiness and prediction, management method, supply chain design and structure, visibility and control, adaptability, collaboration, complementarity, innovation, complexity management, flexibility, uncertainty in the amount of changes, and integration. The top three drug distribution companies are DarouPakhsh, AdoraTeb, and Ferdous, respectively.
Originality/Value: The weighting of the criteria indicates which criteria have a greater impact on the resilience of the supply chain. Therefore, the company will be given a higher priority if it pays attention to criteria with higher weights.
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
Seyed Fakhreddin Fakhrhosseini; Meysam Kaviani
Abstract
Purpose: The main objective of this study is to rank methods of improving debt-asset management at branches of Bank Sepah in Tehran.Methodology: Questionnaires were the tool to collect data, and statistical sample is 146 managers and experts of Bank Sepah in Tehran that have been selected by the simple ...
Read More
Purpose: The main objective of this study is to rank methods of improving debt-asset management at branches of Bank Sepah in Tehran.Methodology: Questionnaires were the tool to collect data, and statistical sample is 146 managers and experts of Bank Sepah in Tehran that have been selected by the simple random sampling method. In this study, by using Multiple Criteria Decision-Making (MCDM) techniques of fuzzy TOPSIS, we have ranked the goals of debt asset management in Bank Sepah.Findings: Based on the results, among the main criteria for Asset and Liability Management (ALM) goals, “the risk management of interest rate” with a weight of 3. 83 is at the first priority, then the “maintenance of adequate capital” with a weight of 3. 67 is in the second place and then “liquidity risk management” with a weight of 3. 41 is in the third priority. Also, according to Friedman test results؛ there are differences between the achievements for each of the major debt-asset management in Bank Sepah in Tehran.Originality/Value: This study is a mixed method (Delphi (qualitative) and survey (quantitative)) in terms of performance and in terms of data collection. By using MCDM techniques, we have ranked the major objectives of asset-debt management in Bank Sepah. In addition, the results could be used in the planning process of banks and financial institutions.
Multi-Attribute Decision Making
Mehdi Soltanifar; Seyyed Mohammad Zargar; Maryamsadat Aman
Abstract
Purpose: The purpose of this research is to provide a hybrid and improved version of one of the Multi-Attribute Decision-Making (MADM) methods, which is a more useful tool for decision support due to the constructive interaction with the decision-maker.Methodology: For this purpose, a linear programming ...
Read More
Purpose: The purpose of this research is to provide a hybrid and improved version of one of the Multi-Attribute Decision-Making (MADM) methods, which is a more useful tool for decision support due to the constructive interaction with the decision-maker.Methodology: For this purpose, a linear programming problem with weight restriction and discrimination intensity functions was used to present the improved WASPAS method, and thus, when the explicit weight for the indicators was not taken from the decision maker, it was possible to rank the options.Findings: The results of comparing the use of the proposed method with the WASPAS method showed that this method has a good capability for use in multi-criteria decision making problems and in this particular issue, the results of using this method showed that in the context of the Covid-19 epidemic, the supportive leadership style had the highest rank among the leadership styles, followed by the transactional leadership, participatory, transformational and was placed authoritative.Originality/Value: In this study, the improved WASPAS method was presented to determine the priority and weight of criteria in solving MADM problems and to determine the organizational leadership style in the Covid-19 pandemic.
Multi-Attribute Decision Making
Ahmad Negravi; Omid Titidezh
Abstract
Purpose: This study seeks to assess the significant effects of blockchain, as a new decentralized technology, in waste reduction and performance improvement of Freight Transportation Management Systems (FTMS).Methodolog: The network analysis technique is used as one of the most valid multi-criteria decision-making ...
Read More
Purpose: This study seeks to assess the significant effects of blockchain, as a new decentralized technology, in waste reduction and performance improvement of Freight Transportation Management Systems (FTMS).Methodolog: The network analysis technique is used as one of the most valid multi-criteria decision-making models. We developed this model in four levels with four main criteria of performance wastes (including cost, time, trust and security and safety), and fourteen sub-criteria, considering the blockchain technologies in four areas of digital infrastructure, visibility, transparency, and smart contracts.Findings: Findings indicate that each of these technologies, individually and collectively, has reduced the waste of road freight management systems. The digital infrastructure technology reduced time and cost waste by 46.44% and 53.56%, respectively. Visibility has reduced 23.99%, 22.30%, and 53.71% of the wastes of cost, time, and safety, respectively. The transparency technology has influenced time and trust and security by 22.63% and 77.37%, respectively, and smart contracts affected the two above waste categories by 88.81% and 11.19%, respectively. The most effective wastes were identified as transportation costs, control costs, transparency in providing information, control of product conditions, and driver monitoring.Originality/Value: This study identified the most crucial road freight transport wastes and made it possible to determine priorities in various areas of blockchain technologies for future investment to improve the FTMS performance, and the findings of this study might be a starting point for future studies in this context.
Multi-Attribute Decision Making
Mojtaba Movahedi; Mahdi Homayounfar; Mehdi Fadaei; Mansour Soufi
Abstract
Purpose: Clustering algorithms are useful tools for understanding data structure and classifying them into different data sets. Due to the importance of using these algorithms in analyzing financial market data that have a high volume and scope, this study in order to select the best clustering algorithm ...
Read More
Purpose: Clustering algorithms are useful tools for understanding data structure and classifying them into different data sets. Due to the importance of using these algorithms in analyzing financial market data that have a high volume and scope, this study in order to select the best clustering algorithm for clustering companies listed on the Tehran Stock Exchange in the field of finance from It has used different clustering algorithms and evaluated the validity of these algorithms and selected the best algorithm.Methodology: This research is applied in terms of purpose and descriptive in terms of implementation method and is of quantitative type (mathematical modeling). The statistical population of the research includes 403 companies listed on the Tehran Stock Exchange in 2019, whose performance has been evaluated based on four financial criteria.Findings: After clustering the surveyed companies by five clustering algorithms, namely K-means, EM, COBWEB, density-based algorithm and ward method, seven indicators RS, DB, Dun, SD, Purity, Entropy and Time were used to evaluate the algorithms. Finally, the total performance of the algorithms was analyzed based on TOPSIS, VICOR and DEA methods. Based on the results, K-means has a better performance in clustering based on the financial data sets.Originality/Value: Since no clustering algorithm can have the best performance in all measurements for each data set, this study uses a combination of multiple criteria to analyze data clustering algorithms related to the field of financial performance appraisal. Companies have provided suggestions and the results of this study have been used effectively for investors in the field of finance, which leads to the optimal choice of investment portfolio.
Multi-Attribute Decision Making
Sahar Esmaeili; Kiamars Fathi Hafshejani; Changiz Valmohammadi; Ali Akbar Haddadi Harandi
Abstract
Purpose: This article seeks to provide a flexible structure for the learning organization tailored to the conditions of Iranian schools. Using this structure, schools, as an educational organization, facilitate innovation and effectiveness in the face of an ever-changing environment. Also, teaching human ...
Read More
Purpose: This article seeks to provide a flexible structure for the learning organization tailored to the conditions of Iranian schools. Using this structure, schools, as an educational organization, facilitate innovation and effectiveness in the face of an ever-changing environment. Also, teaching human values and principles of education help students become people who live in a healthy and civilized way in a world rich in future technologies.Methodology: This paper uses multi-criteria decision-making methods and fuzzy techniques such as fuzzy Delphi and DEMATEL and ANP techniques to provide an executive and operational framework in school learning organizations.Findings: The results show the structures of the learning organization, the skills of the learning organization, and the technologies of the learning organization as the main criteria of the learning organization in Iranian schools, respectively. Also, reinforcing leadership sub-criteria, knowledge management technology, personal abilities, and subjective models with the nature of cause play a crucial role in forming learning organizations in schools.Originality/Value: Researchers have identified the way for Iran to achieve the economic goals envisaged in the Iran Vision 2025 document, the transformation of Iranian organizations into learning organizations. However, the study of databases such as Irandak, scientific information of Jihad Daneshgahi, and the citation database of sciences of the Islamic world shows that limited efforts have been made in this direction, especially in schools in Iran. Without focusing on why and what the learning organization is, this article, using the dimensions and criteria introduced for the learning organization, points out how to provide a flexible structure for the learning organization appropriate to the conditions of Iranian schools.
Multi-Attribute Decision Making
Mahsima Rasi; Hossein Mohammadi Dolat-Abadi
Abstract
Purpose: This research provides a framework for identifying the core competencies and consequently the competitive advantage of small and medium-sized manufacturing organizations in conditions of fuzzy uncertainty.Methodology: This research ranks of the core competencies using the group fuzzy TOPSIS ...
Read More
Purpose: This research provides a framework for identifying the core competencies and consequently the competitive advantage of small and medium-sized manufacturing organizations in conditions of fuzzy uncertainty.Methodology: This research ranks of the core competencies using the group fuzzy TOPSIS method, which is a mathematical model.Findings: Research findings show that the core competencies of customer services and advertising are considered as a "competitive advantage" in small and medium-sized manufacturing organizations.Originality/Value: To extract the core competencies, the review conducted showed that the previous models ignore the resource-based condition. Moreover, only four main factors including the value creation, uniqueness, irreplaceability, and imitation are considered for screening the core competencies under competitive condition. Taking a different viewpoint, the framework proposed in this study not only encompass the resource based factors but also it covers the market base condition to identify the core competencies. Therefore, in addition to the four above-mentioned factors for screening core competencies, two more factors including the new market creation and scope of application are considered in this research. Also, as a novel application, a group fuzzy TOPSIS method has been developed to identify the core competencies under resource-based and market-based conditions.
Multi-Attribute Decision Making
Ali Mohaghar; Rohollah Ghasemi; Hossein Toosi; Morteza Sheykhizadeh
Abstract
Purpose: The purpose of this study is to provide a model to explain the functions of the Project Management Office (PMO) of City Knowledge (CK) and prioritize their functions based on the importance-performance status.Methodology: The method of this research, In terms of purpose, is functional. In terms ...
Read More
Purpose: The purpose of this study is to provide a model to explain the functions of the Project Management Office (PMO) of City Knowledge (CK) and prioritize their functions based on the importance-performance status.Methodology: The method of this research, In terms of purpose, is functional. In terms of data collection tools, it is descriptive (non-experimental). According to comprehensive literature review regarding to PMO functions, 28 main functions of the CK are identified. Questionnaires are designed and distributed among managers, consultants, facilitators and senior experts of City of Knowledge after content validity and reliability. The data are analyzed using structural equation modeling after measuring the construct validity by exploratory factor analysis. Then the best-worst method is used to prioritize the functions and sub-functions of the model. Then, the performance of each functions is obtained by conducting a survey of experts in the PMO of City of Knowledge. Finally, the functions of the PMO are prioritized using the importance‐performance analysis.Findings: Based on the research findings, 7 functions with 28 sub-functions explain the conceptual model of the research. Also, based on the findings of the importance‐performance analysis , design and documentation of project management system in the form of process diagrams, procedures and instructions, uniform formats and standard formats, transparency and clarity of information provided in project planning and organization, providing training services in the field of concepts Processes-Methods and tools of project management, design and development and deployment of project management information systems in the organization, participation in evaluating the performance of project managers, and project management teams are the first priority of improvemen.Originality/Value: In this study, a model for assessing the prioritize of functions of the PMO to create an innovation center is presented. The proposed framework could be a good guideline for universities' policymakers to proceed with development projects and be a suitable model for others to benchmark development plans.
Multi-Attribute Decision Making
Seyyed Ali Delbari; Alireza Davoodi; Niloofar Firozeh
Abstract
Purpose: The purpose of this research is to identify and prioritize international markets entry strategies in plastics industry.Methodology: The research method of the study is explorative-descriptive and its statistical population includes managers and officers working in small and medium-sized enterprises ...
Read More
Purpose: The purpose of this research is to identify and prioritize international markets entry strategies in plastics industry.Methodology: The research method of the study is explorative-descriptive and its statistical population includes managers and officers working in small and medium-sized enterprises in the plastic industry, which are the members of the Bojnord Chamber of Commerce, Industries, and Mines. The sampling method of the study consists of snowballing sampling and purposive sampling, and the sample size is equal to 19 experts. Data collection instrument was questionnaire, which its validity and reliability were confirmed using content validity ratio and inconsistency ratio mechanism, respectively. To analyze data, Analytic Hierarchy Process (AHP) technique was used.Findings: The findings indicate that international markets entry strategies in plastics industry consists of seven strategies, including export, license, management contract, contract manufacturing, turnkey operation, foreign direct investment and strategic alliances, and criteria to select these strategies include four categories of factors related to host country, factors related to product, factors related to company, and factors related to home country. Furthermore, the research findings indicate that the most important criterion to select international markets entry strategies is factors related to company and the best international markets entry strategy is export.Originality/Value: The findings of this research help managers to evaluate, prioritize, and select international markets entry strategies using AHP technique in an effective and efficient manner.
Multi-Attribute Decision Making
Jalal Naderi; Mohamad Nadiri; Fatemeh Zarei
Abstract
Purpose: The credit risk and non-performing loans of banks are among the most important problems of the banking system in Iran. And according to available statistics, the average default of loans and non-performing loans of banks in Iran is much higher than the global average. The main purpose of this ...
Read More
Purpose: The credit risk and non-performing loans of banks are among the most important problems of the banking system in Iran. And according to available statistics, the average default of loans and non-performing loans of banks in Iran is much higher than the global average. The main purpose of this study is to identify and analyze the basic and important factors affecting credit risk in the Iranian banking system.Methodology: For this purpose, first, using the method of guided interviews with twenty experts and credit risk managers of the country's banking sector, who were selected by the snowball method, the most important factors affecting credit risk were identified; then, these factors were returned to the experts for ranking in the form of a pairwise comparison questionnaire, and finally, the important factors affecting this risk, along with their sub-factors were analyzed using denp technique (the dematel based analytic network process).Findings: The results of the research show that the macroeconomic factors are the most important factor as well as instability in macroeconomic environment, failure to take timely and inappropriate actions with defaulters, poor and inadequate credit monitoring, ordered loans, and lengthy and time-consuming judicial procedures are the most important factors affecting risk credit in Iranian banking.Originality/Value: The distinguishing feature of this study from other similar studies is the use of DANP technique to investigate the relationships between factors and sub-factors.
Multi-Attribute Decision Making
Saba Amiri; Saeed Setayeshi
Abstract
Purpose: Neuromarketing is an interdisciplinary and emerging field which can be used in order to relate consumer behavior to neuroscience. So, in recent decades, the importance and interest in buying sustainable products for protecting the environment has been increased. Thus, the present study was done ...
Read More
Purpose: Neuromarketing is an interdisciplinary and emerging field which can be used in order to relate consumer behavior to neuroscience. So, in recent decades, the importance and interest in buying sustainable products for protecting the environment has been increased. Thus, the present study was done with the aim of fuzzy analytic hierarchy process of neuromarketing evaluation criteria for sustainable products.Methodology: The research was performed with a quantitative approach and by using multiple-criteria decision analysis. For this purpose, in order to gain a deep understanding of the subject and collecting useful data, after carefully reviewing the related studies, the views of 16 experts were collected using a fuzzy hierarchical researcher-made questionnaire, which the inconsistency rate of the questionnaires confirmed reliability of them. Also, sensitivity analysis was used to ensure.Findings: The results showed that the criteria for evaluating neuromarketing are in seven categories, which based on FAHP are: accuracy, biasness, exploration of memory and emotion, information quality, usefulness, time saving, cost, respectively. Also, the alternatives of marketing for sustainable products affected by neuromarketing in order of priority are: advertising, product design and development, branding, consumer decision, pricing and distribution. Sensitivity analysis also showed that the research findings are confirmed, but in the case of two criteria of biasness and exploration of memory and emotions, there is a possibility of displacement.Originality/Value: Neuromarketing, due to the provision of high-precision and high-quality information and the reduction of bias in the analysis of results, provides the possibility of predicting consumer buying behavior and affects the marketing mix of sustainable products.
Multi-Attribute Decision Making
Masoomeh Azizi Nafteh; Mahmoud Shahrokhi
Abstract
Purpose: Provide a way to consider the validity of the opinions of each expert in the COPRAS multi-criteria group decision-making process using the concepts of type 2 interval and punctual fuzzy sets.Methodology: The proposed method uses general (punctual) type 2 fuzzy numbers to express the values ...
Read More
Purpose: Provide a way to consider the validity of the opinions of each expert in the COPRAS multi-criteria group decision-making process using the concepts of type 2 interval and punctual fuzzy sets.Methodology: The proposed method uses general (punctual) type 2 fuzzy numbers to express the values of the experts' options, as the confidence degree noted by the secondary membership degrees. The analyst uses the resulting decision matrix and calculates the overall confidence level using the criteria' alternatives scores. The proposed approach obtains a balanced weight matrix by multiplying the scores of each criterion and its weight. The model calculates the credibility of the superiority of each alternative, finds the final alternative utility, and finally selects the optimal solution.Findings: The numerical example results show that the proposed method improves the Coopers fuzzy multi-criteria group decision problem using punctual type 2 fuzzy sets.Originality/Value: The use of punctual type 2 fuzzy sets to express the validity of each expert's opinion from the researcher's point of view, in addition to flexibility, also increases the quality of the response.
Multi-Attribute Decision Making
Seyyed Ahmad Edalatpanah
Abstract
Purpose: Designing an appropriate model/approach for decision-making (incredibly strategic decisions) in a complex and uncertain environment has always been one of the researchers' goals. This study proposes a method that can consider the above dimensions and provide a suitable answer to the challenge ...
Read More
Purpose: Designing an appropriate model/approach for decision-making (incredibly strategic decisions) in a complex and uncertain environment has always been one of the researchers' goals. This study proposes a method that can consider the above dimensions and provide a suitable answer to the challenge of choosing the best option in the Matrix Approach to Robustness Analysis.Methodology: In this research, the superior option is identified by converting the matrix elements of the robustness analysis into hesitant fuzzy elements and using the score function.Findings: Implementation of the proposed approach in four different problems that in previous studies faced with the challenge of choosing the best option showed that a more appropriate answer could be achieved using hesitant fuzzy elements.Originality/Value: Developing the matrix approach to robustness analysis to solve the problem of choosing a strategy regarding equal stability of options.
Multi-Attribute Decision Making
Abazar Keikha
Abstract
Purpose: The aim of this paper is to propose a new extension of Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to be applied with Hesitant Fuzzy Numbers (HFNs).Methodology: At first, the uncertainty of all enteries of evaluation matrix have been modeled by HFNs. ...
Read More
Purpose: The aim of this paper is to propose a new extension of Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to be applied with Hesitant Fuzzy Numbers (HFNs).Methodology: At first, the uncertainty of all enteries of evaluation matrix have been modeled by HFNs. Then, each step of the standard model of TOPSIS method will be updated, using the newly introduced HFNs’ mathematical tools, such as distance measures and aggregation operators of HFNs. The proposed method will be used to solve a Multi-Attribute Decision Making (MADM) problem. Finally, the credibility and comparison analysis of the obtained ranking order will be discussed.Findings: In this paper, the TOPSIS method as a popular method for solving MADM problems has been developed to be applied with HFNs.Originality/Value: In this paper, the TOPSIS method as a popular method for solving MADM problems has been developed to be applied with HFNs.
Multi-Attribute Decision Making
Abbas Jahangiri
Abstract
Purpose: Selection of the appropriate process is one of the most important issues prior to design and construct any wastewater treatment plant. Considering the importance of this issue, current study was carried out to selecting the best wastewater treatment process in city of Farmahin.Methodology: In ...
Read More
Purpose: Selection of the appropriate process is one of the most important issues prior to design and construct any wastewater treatment plant. Considering the importance of this issue, current study was carried out to selecting the best wastewater treatment process in city of Farmahin.Methodology: In this descriptive study that conducted in 2021, three wastewater treatment processes named: Activated Sludge with nitrogen and phosphorus removal, Extended Aeration with nitrogen and phosphorus removal and Membrane Bioreactor were considered as problem alternatives. The required data was obtained by distributing a researcher-made questionnaire consisting of cost, technical, environmental and managerial criteria among 21 experts. The weight of each attribute was determined using the Entropy method and finally, decision matrix was processed by using one of the newest multiple attribute decision making methods called “Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS)”. It should be noted that all calculations were performed using Excel 2016 software.Findings: The results showed extended aeration with nitrogen and phosphorus removal with 0.758 utility function has taken first priority, activated sludge with removal of nitrogen and phosphorus with a 0.723 utility function has taken second priority and finally membrane bioreactor with 0.576 utility function has taken last priority. Therefore, the best wastewater treatment process in the city of Farmahin is extended aeration with nitrogen and phosphorus removal.Originality/Value: In this paper, by using one of the newest multiple Attribute decision making methods called "MARCOS", the best wastewater treatment process for the city of Farmahin was selected. The results of this research are very useful for the Markazi Province Water and Wastewater Company.
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.
Multi-Attribute Decision Making
Hadi Shirouyehzad; Mahsa Soroushnia; Mahdi Mellat; Mohammad Reza Salehi
Abstract
Purpose: Todays, the use of maturity models is one of the most important ways to assess the maturity status of project management in an organization. These models help organizations to compare their capabilities at the level of projects and organizational strategies with a specific and scientific standard. ...
Read More
Purpose: Todays, the use of maturity models is one of the most important ways to assess the maturity status of project management in an organization. These models help organizations to compare their capabilities at the level of projects and organizational strategies with a specific and scientific standard. The purpose of this paper is assessment the maturity of organizational project management based on OPM3 model in the project execution department of Mobarakeh Steel Company.Methodology: In order to assess the maturity of project management, first the interview questions in each of Knowledge Areas were identified using library studies, then information was collected in the form of interviews with experts and managers of Mobarakeh Steel Company. After that, Additive Ratio ASsessment method was used for ranking the Project Management Knowledge Areas according to the obtained results.Findings: The results show that the project execution department has a better performance in the knowledge Area of project schedule management than other areas.Originality/Value: In this research, the performance of the project execution department of the Company is evaluated and analyzed based on OPM3 model. According to the results, applied suggestions for improving project management performance are presented.
Multi-Attribute Decision Making
Abazar Keikha; Hassan Mishmast Nehi
Abstract
Purpose: Using hesitant fuzzy numbers as a combination of two common types of evaluation: self-evaluation and evaluation by judges, in order to make real and fair evaluations. Updating the Choquet integral method to apply with hesitant fuzzy numbers in the evaluation process, and use it to solve decision ...
Read More
Purpose: Using hesitant fuzzy numbers as a combination of two common types of evaluation: self-evaluation and evaluation by judges, in order to make real and fair evaluations. Updating the Choquet integral method to apply with hesitant fuzzy numbers in the evaluation process, and use it to solve decision problems such as evaluating employees and organizations. Methodology: The method of conducting these studies is based on the pattern of library studies.</pFindings: Deficiencies such as showcasing the evaluators during the evaluation period on the one hand, and the lack of mastery of external judges on some organizational complexities and the apparent and hidden motivations of the evaluators for unrealistic evaluation in the self-evaluation process, on the other hand, are some of factors that challenge the evaluation results, and these defects in the hybrid evaluation model are eliminated using hesitant fuzzy numbers. In addition, evaluation indicators in many cases interact with each other and have so-called positive and negative effects on each other. Choquet Integral is able to take this into account and take the assessment one step closer to becoming more realistic. Therefore, its computational development with hesitant fuzzy numbers, which has been considered in this article, can helps the evaluation system and performance of employees and organizations.Originality/Value: Computational development of hesitant fuzzy numbers with the help of Choquet integral, using the Choquet integral of hesitant fuzzy numbers in solving multi-criteria decision making problems such as employee and organizational evaluation.
Multi-Attribute Decision Making
Rouhollah Kiani Ghaleh no
Abstract
In the last decade, multi-criteria decision making methods have been used extensively to evaluate multiple units with similar task descriptions. One of the most widely used methods, which is based on mathematical principles, is the TOPSIS method. ranking mechanism in TOPSIS method based on performance ...
Read More
In the last decade, multi-criteria decision making methods have been used extensively to evaluate multiple units with similar task descriptions. One of the most widely used methods, which is based on mathematical principles, is the TOPSIS method. ranking mechanism in TOPSIS method based on performance distance measurement is from positive ideal and negative ideal and the existence of Outlier-data can have a negative impact on the calculations. in this study the modification of TOPSIS method so that Be able to control Outlier-data, is on the agenda. For this purpose modified algorithm TOPSIS method is introduced. With the aim of validating the proposed algorithm, the performance of 1951 branches of agri-Bank in the case study section has been evaluated and the results have been compared with the standard TOPSIS method. Calculation of the modified TOPSIS method by considering different coefficients of data scatter control and examination of the correlation coefficients show that the modified TOPSIS method has been able to control Outlier data well.
Multi-Attribute Decision Making
Naeme Zarrinpoor; Mohsen Amiri; Mohammad Hadi Nematolahi
Abstract
The green construction industry has been emerged with the urbanization development, the global populatation growth, and growing demand for more sustainable and eco-friendly structures and it has been expanded quickly regarding some benefits such as energy and resources saving, less greenhouse gas emissions, ...
Read More
The green construction industry has been emerged with the urbanization development, the global populatation growth, and growing demand for more sustainable and eco-friendly structures and it has been expanded quickly regarding some benefits such as energy and resources saving, less greenhouse gas emissions, and optimizing the health of residents. The urban development and planning based on green buildings is more complexed compared with the one based on regular buildings, and as a result, it seems necessary to design the accurate and comprehensive planning for identifying risk factors for the success of green buildings projects. This study is presented with the objective of the identification and evaluation of the risk for green buildings based on a real case study in the city of Shiraz. To this end, based on the opinions of experts team including consulting engineers, designers, executors, contractors, and the literature review, 17 criteria are identified as the most important factors and they are classified in 5 groups including policies and standards, economic factors, environmental factors, management factors, and technical and quality factors. The relationship between risk criteria and sub-criteria is studied with DEMATEL procedure and the ranking of risk criteria is done by applying the analytic network process (ANP). The results show that government policies and complicated approval procedures, the project delay, the lack of specific insurance for green buildings and the lack of accurate estimation of investment returning are the most important risk factors of green buildings that urban designers must focus on them to increase the successes of the new emerging green construction industry.
Multi-Attribute Decision Making
MohammadReza Mehregan; Behrouz Dorry nogorani; sahar jafari; jamal khani jazani
Abstract
Many organizational or even day-to-day interactions of individuals are shaped by their decisions, and these decisions sometimes have implications for different stakeholders. In this regard, it is worthwhile to study and analyze the factors affecting ethical decision making. This study aimed to investigate ...
Read More
Many organizational or even day-to-day interactions of individuals are shaped by their decisions, and these decisions sometimes have implications for different stakeholders. In this regard, it is worthwhile to study and analyze the factors affecting ethical decision making. This study aimed to investigate the factors affecting ethical decision making. After identifying and extracting the factors affecting ethical decision making from the literature, the variables were screened by compiling a Delphi-fuzzy questionnaire and the cooperation of eight experts familiar with the field of management and ethics. After performing the necessary repetitions and the saturation limit of the answers, the indicators were finally confirmed. Then, the indicators were analyzed using fuzzy DEMATEL method. Finally, the technique presented the relative importance and relationships between experts by systematically analyzing the opinions of experts. The analysis showed that the variables of "senior managers 'influence", "co-workers' influence" and "emotions / mood" are of great importance among the variables and affect other variables. In contrast, the "spirituality", "business competition" and "decision style" of the decision-maker are less important than other factors. In general, several factors influence the making of a moral decision, but the results indicate that in the individual dimension. The personality, fortifications and values of the decision-maker and in the situational dimension. Reference groups play an important role in making an ethical decision and can guide it. Therefore, more reflection is needed to inform the person who is in the position of decision, more control and more careful monitoring of the outcome of the decision.
Multi-Attribute Decision Making
Mohammad reza Nasiri; Mohammad Saeed Jabameli; Ali Reza Aliahmadi
Abstract
The Qualitative Content Analysis (QCA) as one of the qualitative research methods is a set of techniques used to analyze and clarify textual data. In the subject literature, several processes have been introduced to implement this approach, since the variety and multiplicity of used steps, have made ...
Read More
The Qualitative Content Analysis (QCA) as one of the qualitative research methods is a set of techniques used to analyze and clarify textual data. In the subject literature, several processes have been introduced to implement this approach, since the variety and multiplicity of used steps, have made it difficult to select the appropriate process. Due to the lack of observation of a study that explores and summarizes various processes, here, along with introducing and reviewing some of the most important presented processes, by summarizing and refining the steps used, an improved process framework for implementing it is presented. In order to provide an improved process framework, the Meta Synthesis method (MSM) has been used. The proposed process framework that consists of six main steps and sixteen sub-steps, as compared with other common processes, takes advantages such as having the helpful steps and sub-steps used in previous processes, eliminating unnecessary sub-steps, more specific sequencing between steps and sub-steps, and finally, creating two-way relationships and giving feedback between steps that enhance the simplification, flexibility and reliability of the process and its findings. Subsequently, as a case study, in the process of developing strategic planning of Payame Noor University, in the development of directional pillars, the related upstream documents were analyzed using the proposed process and the results were approved by the team of related experts.
Multi-Attribute Decision Making
Hojat Sharifpour; Hasanali Aghajani; abdolhamid safaei ghadikolaei
Abstract
Today, organizations need to develop their production systems to achieve a competitive advantage and maintain it in the market. To achieve this, a completely new and innovative approach is needed to manage and produce an organization that dramatically increases productivity and also helps create effective ...
Read More
Today, organizations need to develop their production systems to achieve a competitive advantage and maintain it in the market. To achieve this, a completely new and innovative approach is needed to manage and produce an organization that dramatically increases productivity and also helps create effective and efficient supply chains. Now that the industrial revolution has grown to the fourth generation, organizations can use its new technologies to achieve and maintain a competitive advantage, as well as to increase productivity. The present study examines the interactive relationships of fourth-generation industry technologies in selected food industries to achieve this; first, through literature extraction, 20 cases of fourth-generation industry technologies were extracted, and in the second stage, with the fuzzy Delphi approach, 13 cases of fourth-generation industry technologies were identified for an explanation in the food industry. Then, the R-DEMATEL was used to investigate the interactive relationships between fourth-generation industry technologies.