فهرست مقالات منصور صوفی


  • مقاله

    1 - بهینه‌سازی چند‌هدفه شبکه تامین فرآورده‌های خونی به منظور حداقل‌سازی زمان ارسال و میزان تقاضای برآورد نشده بیمارستانی
    مدیریت بهداشت و درمان , شماره 42 , سال 12 , زمستان 1402
    مقدمه: با توجه به اهمیت خون به عنوان یک عنصر حیاتی در سیستم سلامت، در این پژوهش، زنجیره تامین خون در سه سطح اهداکنندگان، بانک‌ها (مراکز خون) و بیمارستان‌ها در قالب یک مدل چندهدفه به منظور حداقل سازی مجموع هزینه‌ها، حداقل‌سازی زمان کلی ارسال واحدهای خونی و حداقل سازی میز چکیده کامل
    مقدمه: با توجه به اهمیت خون به عنوان یک عنصر حیاتی در سیستم سلامت، در این پژوهش، زنجیره تامین خون در سه سطح اهداکنندگان، بانک‌ها (مراکز خون) و بیمارستان‌ها در قالب یک مدل چندهدفه به منظور حداقل سازی مجموع هزینه‌ها، حداقل‌سازی زمان کلی ارسال واحدهای خونی و حداقل سازی میزان تقاضای برآورد نشده بیمارستان ها در هر دوره، مدل سازی شده است.روش پژوهش: پژوهش حاضر از نظر هدف، کاربردی، از نظر روش توصیفی و از نوع کمی است. داده های مورد نیاز برای پیاده‌سازی مساله واقعی در سال 1400 با مراجعه به دفتر منطقه ای سازمان انتقال خون استان تهران و با همکاری سیستم نگاره گردآوری شده است. با توجه به ماهیت Np-hard مساله، مدل پیشنهادی با استفاده از سه الگوریتم ژنتیک، NSGAII و MOPSO در نرم افزار گمز حل شده است.یافته‌ها: در مدل پیشنهادی، تطابق گروه های خونی در تامبن تقاضا، سیستم صف، تخصیص گروه های خونی در آزمایشگاه ها و بانک‌های خون، هدر رفت خون در آزمایشگاه، انتقال محصولات بین مراکز تقاضا و نیز پارامترهای حساس و تعیین کننده ای مدل مانند؛ پارامتر تقاضا، اهدای خون و زمان حمل محصولات خونی بین اجزای شبکه، به صورت غیرقطعی در نظر گرفته شده است. یافته‌ها نشان می دهند که در اجرای مسائل 3، 7، 10 و 12 برای شاخص کیفیت الگوریتم MOPSO دارای عملکرد مناسب‌تری است، اما به طور کلی و بر اساس دفعات اجرا و همچنین میانگین آنها، الگوریتم NSGA-II عملکرد بهتری دارد.نتیجه‌گیری: بر اساس نتایج، مدل ارائه شده منجر به کاهش مجموع هزینه ها، زمان کلی ارسال واحدهای خونی و میزان تقاضای برآورد نشده بیمارستان‌ها می شود. پرونده مقاله

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    2 - Efficiency Analysis of Banking Sector in Presence of Undesirable Factors Using Data Envelopment Analysis
    Advances in Mathematical Finance and Applications , شماره 2 , سال 8 , بهار 2023
    Banks play an important role in the growth and development of any economy. A profitable banking system enhances economic stability and efficiency to mitigate the impacts of sudden macroeconomic shocks. To be more efficient and profitable, banks need to recognize the fac چکیده کامل
    Banks play an important role in the growth and development of any economy. A profitable banking system enhances economic stability and efficiency to mitigate the impacts of sudden macroeconomic shocks. To be more efficient and profitable, banks need to recognize the factors underpinning their performance. Accrued liabilities are one of the factors that hinder the profitability of banks. There are several methods to assess banks' profitability with their own pros and cons. Among them, data envelopment analysis (DEA) has been recommended as one of the most common approaches to evaluate different efficiencies including cost efficiency, revenue efficiency, technical efficiency, and finally profitability. The availability of prices/weights of inputs and outputs provides financial managers with significant information for evaluating efficiencies and assists them in decision-making and strategy development processes. This study mainly aims to analyze banks' profitability by considering accrued liabilities resulting from undesirable factors, for which relevant data were collected from 33 branches of a commercial bank in Gilan province, Iran based on managerial and weak disposability. The results illustrated that only three branches were graded one in three dimensions of efficiency, namely technical, cost and revenue, and profitability. Besides, it was suggested that the lack of these efficiencies was not correlated with the branches' profitability. پرونده مقاله

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    3 - Investigating the Moderating Role of Competitive Strategies on the Impact of Supply Chain Integration on the Financial and Operational Performance (Case Study: The car manufacturing industry in IRAN
    Iranian Journal of Optimization , شماره 5 , سال 11 , بهار 2019
    The increase of international competition motivated most of the organizations to create useful shared mutual cooperation with supply chain partners since they understood that cooperation and collaboration of supply chain partners is the prerequisite for the increase of چکیده کامل
    The increase of international competition motivated most of the organizations to create useful shared mutual cooperation with supply chain partners since they understood that cooperation and collaboration of supply chain partners is the prerequisite for the increase of reliability level and the decrease of risks and also the enhancement of innovative qualities and profitability of the companies in recent competitive and dynamic market. Integration of supply chain is an important strategy in creating cooperation and collaboration among different elements of supply chain, and plays a vital role in the enhancement of performance of the companies in supply chain. The objective of the present study is to investigate the effect of supply chain integration on the performance of car part manufacturing companies. Current study follows a descriptive, analytical approach in which the correlation between the variables of sample under study is investigated. This sample includes 81 company which produce car parts with a grade A of SAPCO Company. Samples were selected through census in the initial phase. However in the second phase sampling was done through improbable and judgmental sampling. In order to testify hypothesis PLS method was used. The result of this study indicates that there is a direct effect between supply chain integration and improvement of operational performance of companies under investigation. پرونده مقاله

  • مقاله

    4 - Analysis of environmental efficiency and marginal rate of substitution in the presence of undesirable factors: A DEA-based approach
    Iranian Journal of Optimization , شماره 2 , سال 14 , بهار 2022
    The balance between environmental regulations and economic issues has always been one of the main challenges of governments, because with the growth of industrialization, environmental pollution has also increased. Along with the desired outputs in the production proces چکیده کامل
    The balance between environmental regulations and economic issues has always been one of the main challenges of governments, because with the growth of industrialization, environmental pollution has also increased. Along with the desired outputs in the production process, may also produce undesirable outputs which have a great impact on organizations efficiency and environmental pollution. On the other hand, dealing with the impact of undesirable factors on the inputs and desirable outputs, valuable information for making strategies and organizational decisions could be achieved. Considering undesirable factors, this paper aims to calculate the relative efficiency and marginal ratios of environmental systems using weak and managerial disposability models of data envelopment analysis (DEA). This study is conducted in two phases. In the first one, the regions were classified into efficient and inefficient groups using a developed DEA model. In the second step, the marginal rate of undesirable outputs on the inputs and desirable outputs in efficient areas were calculated. The results showed that the change in the amount of undesirable outputs has a significant effect on other variables. پرونده مقاله

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    5 - Ranking Tehran Stock Exchange Industries using a Combined FCM-ELECTRE III-LA Method
    Iranian Journal of Optimization , شماره 4 , سال 14 , تابستان 2022
    One of the most complex decision-making issues for stock exchange investors is the evaluation of companies' performance and their ranking in the next step, which can be done based on different approaches. In the paper, the industries of Tehran Stock Exchange (TSE) evalu چکیده کامل
    One of the most complex decision-making issues for stock exchange investors is the evaluation of companies' performance and their ranking in the next step, which can be done based on different approaches. In the paper, the industries of Tehran Stock Exchange (TSE) evaluated during the years 2010 to 2019 and ranked by a combined fuzzy cognitive map (FCM), Electere III and linear assignment (LA) method. To this aim, first based on the literature review, 21 more cited criteria were selected as the main criteria in performance analysis of the TSE. Then, fuzzy cognitive map as a qualitative analytical tool, was applied to rank financial eavaluation criteria based on their intractions. Applying FCM, five criteria were determined as more important criteria for performance evaluation. In the the next step, all of the industries in TSE were evaluated in 10 years from 2011 to 2020 using the ELECTRE III as a powerfull MCDA method. Finally, LA method was applied for integrating the rank of industry in the 10 years period. The results indicate that insurance and pension industries, Industrial multidisciplinary and Food (except sugar), placed at the first to third ranks. پرونده مقاله

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    6 - Optimization of the Private Sector Cooperative Approach in Investment Projects of the National Iranian Oil Company Using Game Theory Approach
    Iranian Journal of Optimization , شماره 1 , سال 15 , زمستان 2023
    The aim of this research is to design scenarios based on cooperative game theory scenarios to examine the rewards and penalties observed from sharing or not sharing knowledge among companies. The statistical population of the study includes managers and experts from 10 چکیده کامل
    The aim of this research is to design scenarios based on cooperative game theory scenarios to examine the rewards and penalties observed from sharing or not sharing knowledge among companies. The statistical population of the study includes managers and experts from 10 subsidiary companies of the National Iranian Oil Company, among whom 10 senior managers were selected for pairwise comparisons using the snowball sampling method. The research method is classified as descriptive, applied, interpretive, exploratory, with a quantitative and qualitative nature. This study emphasizes the importance of efficient knowledge sharing as a means to foster cooperative in the investment portfolios of the National Iranian Oil Company to compete with foreign competitors during sanctions. By reviewing the results of the four scenarios derived from the game, it was observed that the rewards companies receive from sharing knowledge are dependent on the behavior resulting from knowledge sharing by other companies. The more capable an organization is in influential factors related to knowledge transfer and innovation; the more benefits companies will gain if they cooperate. Sensitivity analysis regarding the costs of project cooperative, which arises due to the difficulty of implementing joint projects, showed that as the costs increase, companies tend to shift from a cooperative strategy towards a retaliation strategy and then towards a non-cooperative strategy. The impact of companies' intellectual capital status on the selection of cooperative strategies was observed. Companies that decide to collaborate, if equipped with higher intellectual capital due to experience and empowerment, tend to prefer an optimal strategy towards cooperative. پرونده مقاله

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    7 - Forecasting Iran’s Saffron Export by Comparison of Machine Learning Algorithms
    International Journal of Agricultural Management and Development , شماره 2 , سال 13 , بهار 2023
    Imports and exports play an integral role in the economic growth of all countries. Therefore, selecting the right products can enhance a country's competitiveness in global trade. Saffron stands out as one of Iran's most vital and unique non-oil products for export. The چکیده کامل
    Imports and exports play an integral role in the economic growth of all countries. Therefore, selecting the right products can enhance a country's competitiveness in global trade. Saffron stands out as one of Iran's most vital and unique non-oil products for export. The objective of this study was to predict saffron exports using three data mining algorithms and determine the most suitable algorithm for forecasting. The sample period for the forecasting models encompasses saffron export data from Iran for the years 2012 to 2019, gathered from the Iran Saffron Association. Following the data preparation steps, saffron export was forecasted using three data mining algorithms: artificial neural network, deep learning, and gradient boost tree. The validity of the models plays a crucial role in selecting the best forecasting model. The predictive validity of the three designed models was evaluated using the absolute error (artificial neural network = 0.036, deep learning network = 0.031, and gradient boost tree = 0.047), R-squared (artificial neural network = 0.045, deep learning network = 0.044, and gradient boost tree = 0.073), and correlation coefficients (artificial neural network = 0.95, deep learning network = 0.98, and gradient boost tree = 0.97). Based on the findings, all models demonstrate high accuracy, with very low prediction errors that are closely matched. However, the deep learning network exhibits a slightly lower, albeit statistically insignificant, error. These results can be valuable for enhancing the precision of saffron export planning. پرونده مقاله

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    8 - توانمند سازی شرکت های نفتی ایران جهت خودکفایی در مقابله با تحریم های آمریکا و اروپا با طراحی مدل بازی همکارانه
    مجله توانمندسازی سرمایه انسانی , شماره 5 , سال 6 , زمستان 1402
    هدف این تحقیق طراحی سناریوهای برگرفته از مدل بازی همکارانه مبتنی بر نظریه بازی برای بررسی پاداش و جریمه مشاهده شده از به اشتراک گذاشتن و یا عدم اشتراک دانش توسط شرکت ها است. جامعه آماری تحقیق شامل مدیران و خبرگان 30 شرکت خصوصی برتر فعال در عرصه پروژه های نفت و گاز می با چکیده کامل
    هدف این تحقیق طراحی سناریوهای برگرفته از مدل بازی همکارانه مبتنی بر نظریه بازی برای بررسی پاداش و جریمه مشاهده شده از به اشتراک گذاشتن و یا عدم اشتراک دانش توسط شرکت ها است. جامعه آماری تحقیق شامل مدیران و خبرگان 30 شرکت خصوصی برتر فعال در عرصه پروژه های نفت و گاز می باشند. روش تحقیق بر اساس طبقه بندی کومار،کاربردی، تفسیری، اکتشافی با ماهیت کمی و کیفی است. این مطالعه بر اهمیت به اشتراک گذاری کارآمد دانش به عنوان راهی برای ایجاد همکاری در سرمایه گذاران پورتفوهای شرکت ملی نفت ایران برای رقابت با رقبای خارجی در دوران تحریم تأکید می‌کند. با مرور نتایج چهار سناریوی حاصل از بازی، مشاهده گردید که پاداش مشاهده شده شرکت ها از به اشتراک گذاشتن دانش، وابسته به رفتار ناشی از به اشتراک گذاری دانش توسط سایر شرکت ها می باشد. هر چه قابلیت های سازمان در مؤلفه های تأثیرگذار بر انتقال دانش و نوآوری بالاتر باشد، آنگاه شرکت ها در صورت همکاری، عایدی بیشتری کسب خواهند کرد. آنالیز حساسیت در مورد هزینه های همکاری پروژه ها که به واسطه دشواری اجرای پروژه های مشترک ایجاد می گردد نشان داد که با افزایش هزینه، شرکت ها از استراتژی همکاری به سمت استراتژی تلافی و سپس به سمت استراتژی عدم همکاری سوق پیدا می کنند. این استراتژی ها بر اساس تطبیق نتایج معادله سود طراحی شده با سه بازی متواتر همکارانه معمای زندانی، بازی شاهین و کبوتر و بازی معمای اعتماد به دست آمده اند. پرونده مقاله