Data Envelopment Analyses
Morteza Shafiee; Hilda Saleh; Ramin Ziyari
Abstract
Purpose: Despite increasing advances in project management, a very large proportion of projects still fail. Because there is no comprehensive approach to fully evaluate projects. Therefore, in this research, a new method for evaluating the efficiency of projects has been introduced, which is well understood ...
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Purpose: Despite increasing advances in project management, a very large proportion of projects still fail. Because there is no comprehensive approach to fully evaluate projects. Therefore, in this research, a new method for evaluating the efficiency of projects has been introduced, which is well understood due to the quantitative and qualitative nature of the designed model. Methodology: This research is applied in nature and the research method used in it is case study. Various methods such as library studies, searching articles and journals related to the research topic have been used to obtain information in the theoretical sections, and interviews and questionnaire have been used to determine the indicators. After extracting the indicators and designing the network structure based on the perspective of the balanced scorecard, the data envelopment analysis network model was designed and then the model was solved and finally the results were analyzed.Findings: Using the designed model, the efficiency and performance of Shiraz Civil Institute projects is evaluated from four financial perspectives, stakeholders and partners, and internal processes, and growth and learning. And according to the results, 33% of the projects of the Civil Institute are inefficient and the rest of the projects are efficient.Originality/Value: The model presented in this paper is a combination of network data envelopment analysis and balanced scorecard, and a systematic relationship has been established between the two methods, so that one of them complements and covers the weaknesses of the other method.
Financial Marketing Strategies
Mojtaba Kaveh; Saeid Saeida Ardakani; Morteza Shafiee; Seyed Mohammad Tabataba’i Nasab
Abstract
Increasing competition in the insurance industry has made most industry executives think of ways to stay in business, so they have to look for ways to increase their sales and other goals, including attracting customers. Such as; reducing costs, quality of service, proper behavior of employees, reducing ...
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Increasing competition in the insurance industry has made most industry executives think of ways to stay in business, so they have to look for ways to increase their sales and other goals, including attracting customers. Such as; reducing costs, quality of service, proper behavior of employees, reducing administrative bureaucracy, reducing the time to do customer work when entering the company, reducing the time to pay compensation to the customer and innovation to gain competitive advantage and so on. Therefore, the purpose of this study is to predict and rank the factors of customer attraction in Mellat Insurance Company of Shiraz during the three years 2019 to 2021. For this purpose, the system dynamics model and network data envelopment analysis have been used. In order to formulate the factors of customer attraction, first the causal-loop diagram and then the stock-flow diagram were simulated. Then, this operation was performed for different scenarios and the simulated results were entered as the input of the network data envelopment analysis model. Based on the obtained result, the best and most efficient factors of customer attraction were selected and the interaction of these factors and their impact and the success of customer orientation was addressed.
Fuzzy Optimization
Morteza Shafiee; Hilda Saleh; Atefeh Kaveh
Abstract
Assessing the reliability and availability of the production system reduces the likelihood of sudden and costly stops, which is very risky. To this end, this paper attempts to provide a new way to determine the reliability and availability of a production system, which can be used for a variety of failure ...
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Assessing the reliability and availability of the production system reduces the likelihood of sudden and costly stops, which is very risky. To this end, this paper attempts to provide a new way to determine the reliability and availability of a production system, which can be used for a variety of failure components such as materials, supplies, personnel and machinery. Therefore, using Fuzzy Bayesian Approach, unrealistic events that are actually created in a production system have been processed and the proposed model has been used to assess the condition of Pegah Fars milk factory, so that the rate of failure and repair and reliability of components and system with Bayesian method was calculated. And because the available information space is uncertain, the reliability parameters became fuzzy. Then the availability of the components and then the whole system was calculated using the formula provided by Martz and Waller and the Bayesian method, and the parameters of availability were converted into fuzzy. Finally, the information obtained about the reliability and availability of the system and components were analyzed, that the results show the improved approach, provides a more accurate estimate of reliability and availability.