En
  • دکتری (1377)

    مهندسی صنایع

    دانشگاه تربیت مدرس،

  • کارشناسی‌ارشد (1364)

    مهندسی صنایع - برنامه ریزی وتحلیل سیستمها

    دانشگاه صنعتی اصفهان،

  • کارشناسی‌ارشد (1357)

    مهندسی مالی

    کامنولث، آمریکا

  • کارشناسی (1357)

    مهندسی صنایع

    نورث ایسترن، آمریکا

  • مدیریت دارایی و مدلسازی برای مدیریت سرمایه گذاری
  • مدیریت ریسک های مالی و اعتباری
  • مدیریت مالی بنگاه شامل بودجه ریزی سرمایه و ساختار آن
  • برنامه‌ریزی و مدیریت تولید
  • مدیریت زنجیرة تأمین
  • حسابداری مدیران و بودجه ریزی در صنایع
  • مدیریت عملکرد

    فریماه مخاطب رفیعی دانشیار دانشکده مهندسی صنایع و سیستم ها در گروه مهندسی سیستم و بهره وری دانشگاه تربیت مدرس است. او با ورود به دانشگاه صنعتی شریف دوره کارشناسی را شروع نمود ولی پس از دوسال به دانشگاه نورث ایسترن در بوستون آمریکا منتقل شد. دکتر مخاطب رفیعی کارشناسی ارشد و دکترای خود را از دانشگاه صنعتی اصفهان و دانشگاه تربیت مدرس به ترتیب در سال های 1364 و 1377 اخذ کرده است. او همچنین یک کارشناسی ارشد دیگر در مهندسی مالی از دانشگاه کامنولث ویرجینیای آمریکا در سال 1383 اخذ نمود. دارا بودن همزمان دو تخصص، مهندسی صنایع و مهندسی مالی، او را به یک محقق با دو زمینه تحقیقاتی تبدیل کرده است. در نتیجه تحقیقات او به دو زمینه مدیریت سرمایه گذاری و ریسک های مالی و یکپارچه سازی زنجیره تامین با مدیریت جریان مواد، و پول تقسیم شده است.

    ارتباط

    رزومه

    A joint inventory–finance model for coordinating a capital-constrained supply chain with financing limitations

    Faranak Emtehani, Nasim Nahavandi, Farimah Mokhatab Rafiei
    Journal PapersFinancial Innovation , Volume 7 , Issue 1, 2021 December , {Pages Jan-39 }

    Abstract

    Faced with economic recession, firms struggle to find ways to stay competitive and maintain market share. Effective coordination of the supply chain can solve this problem, but this may fail if existing capital constraints and financial flows are ignored. This study addresses the challenge by exploiting coordination through joint decision-making on the physical and financial flows of a capital-constrained supply chain. We also consider the capital-constrained member’s financing limitations that lead to lost sales. Two scenarios based on non-coordinated and coordinated structures are modeled in the form of bi-objective optimization problems that simultaneously optimize system costs and service levels. The models are solved using the

    Financial performance measurement of supply chains: a review

    Masoud Rahiminezhad Galankashi, Farimah Mokhatab Rafiei
    Journal Papers , 2021 February 11, {Pages }

    Abstract

    PurposeThis study provides a systematic review on performance measurement of supply chains from a financial perspective.Design/methodology/approachThis study systematically reviews the financial performance measures of supply chains. More specifically, this research reviews a total of 100 papers published in more than 50 peer-reviewed journals. The reviewed papers are categorized into three major areas of engineering, business and management. Additionally, the papers are investigated based on country, journal frequency, applied methods, publication date and research type (application or developmental).FindingsAccording to the obtained results, cost, return on assets (ROA), sales, asset turnover, return on investment (ROI), market share, inv

    An operations-finance integrated model with financial constraints for a manufacturer in a multi-supplier multi-product supply chain

    Faranak Emtehani, Nasim Nahavandi, Farimah Mokhatab Rafiei
    Journal PapersComputers & Industrial Engineering , Volume 153 , 2021 March 1, {Pages 107102 }

    Abstract

    The goal of this paper is to propose an efficient operations-finance integrated decision framework for the manufacturers who face some financial challenges such as capital shortage, high cost of debt, and limited financing capacity. We developed a mixed-integer nonlinear model by extending the multi-product newsvendor problem to establish such a decision framework. To solve the proposed model, a three-phase approach is established based on the analytical analysis of the model features. In the first phase, an exact algorithm is proposed, which leads to a significant reduction in problem complexity. In the second phase, the financing capacity constraint is released and the rest of the problem is solved through KKT conditions. To handle the fi

    Green supplier selection and order allocation: a nonlinear stochastic model

    Pooria Hashemzahi, Amirhossein Azadnia, Masoud Rahiminezhad Galankashi, Syed Ahmad Helmi, Farimah Mokhatab Rafiei
    Journal PapersInternational Journal of Value Chain Management , Volume 11 , Issue 2, 2020 January , {Pages 111-138 }

    Abstract

    Supplier selection and order allocation is a complex managerial decision in today's competitive markets. As an important section of this area, green supplier section has been properly focused in previous literature. However, joint supplier selection and order allocation under stochastic demand is less investigated. Firstly, a fuzzy analytic hierarchy process (FAHP) is applied to weight and select suppliers in terms of economic and environmental criteria. Secondly, a multi-objective nonlinear programming (MONLP) is developed and solved by genetic algorithm (GA) for the aim of order allocation. Findings of this study assist managers to systemically deal with the real-world problem of green supplier selection with different priorities and orde

    Maintenance strategy selection in a cement company: An integrated AHP-FAHP approach

    Masoud Rahiminezhad Galankashi, Fatemeh Khorramrouz, Mehran Esmaeilnezhad, Farimah Mokhatab Rafiei, Muhammad Hisjam
    Journal PapersAIP Conference Proceedings , Volume 2217 , Issue 1, 2020 April 13, {Pages 030197 }

    Abstract

    This study develops an integrated AHP-FAHP approach to select the best maintenance strategy for different equipment of a cement manufacturer located in Iran. Although the topic has been investigated in previous literature, it is less examined in cement manufacturers of developing countries. To fill this gap, this research has been conducted in three phases as follows. Firstly, the most important measures of maintenance strategy selection are developed and ranked using a questionnaire. Next, these measures are applied to choose the best maintenance strategy for different equipment of a case study using an Analytic Hierarchy Process (AHP). Finally, a Fuzzy AHP is developed to investigate the obtained results in an uncertain environment. The c

    Portfolio selection: a fuzzy-ANP approach

    Masoud Rahiminezhad Galankashi, Farimah Mokhatab Rafiei, Maryam Ghezelbash
    Journal PapersFinancial Innovation , Volume 6 , Issue 1, 2020 December , {Pages Jan-34 }

    Abstract

    This study developed specific criteria and a fuzzy analytic network process (FANP) to assess and select portfolios on the Tehran Stock Exchange (TSE). Although the portfolio selection problem has been widely investigated, most studies have focused on income and risk as the main decision-making criteria. However, there are many other important criteria that have been neglected. To fill this gap, first, a literature review was conducted to determine the main criteria for portfolio selection, and a Likert-type questionnaire was then used to finalize a list of criteria. Second, the finalized criteria were applied in an FANP to rank 10 different TSE portfolios. The results indicated that profitability, growth, market, and risk are the most impor

    A Multiobjective Aggregate Production Planning Model for Lean Manufacturing: Insights From Three Case Studies

    Masoud Rahiminezhad Galankashi, Najmeh Madadi, Syed Ahmad Helmi, Abd Rahman Abdul Rahim, Farimah Mokhatab Rafiei
    Journal PapersIEEE Transactions on Engineering Management , 2020 June 10, {Pages }

    Abstract

    This article proposes a multiobjective mathematical model to optimize the multiperiod aggregate production planning (APP) of multiproduct companies. Although there are many studies of lean manufacturing (LM), its integration with APP has not been studied. The present article is intended to integrate APP and LM, including an analysis of market winners, market qualifiers, and waste. The model's objective functions include the cost, lead time, and waste minimization in addition to maximizing the product quality. A solution procedure is suggested to solve the model using IBM CPLEX 12.4 software. The model is investigated in three different case studies to check its applicability and generalizability. According to the obtained results, the propo

    Supplier Selection and Order Allocation with Lean Manufacturing Criteria: An Integrated MCDM and Bi-objective Modelling Approach

    Aida Rezaei, Masoud Rahiminezhad Galankashi, Shiva Mansoorzadeh, Farimah Mokhatab Rafiei
    Journal PapersEngineering Management Journal , 2020 June 5, {Pages 19-Jan }

    Abstract

    The main aim of this research is to propose an integrated Multi-Criteria Decision Making (MCDM) and bi-objective mathematical model for supplier selection and order allocation of lean manufacturers. Despite the vast quantity of research on Lean Manufacturing (LM) and its related tools, lean supplier selection and order allocation is less studied in the previous literature. To fill this gap, this study is conducted in four phases as follows. First, an initial list of leanness criteria is extracted from previous studies. Next, using an Analytic Hierarchy Process (AHP), these criteria are examined to be applied in a supplier selection process. Following, a Fuzzy Analytic Hierarchy Process (FAHP) is applied to select the suppliers

    A dynamic credit risk assessment model with data mining techniques: evidence from Iranian banks

    Somayeh Moradi, Farimah Mokhatab Rafiei
    Journal PapersFinancial Innovation , Volume 5 , Issue 1, 2019 December , {Pages 15 }

    Abstract

    Giving loans and issuing credit cards are two of the main concerns of banks in that they include the risks of non-payment. According to the Basel 2 guidelines, banks need to develop their own credit risk assessment systems. Some banks have such systems; nevertheless they have lost a large amount of money simply because the models they used failed to accurately predict customers’ defaults. Traditionally, banks have used static models with demographic or static factors to model credit risk patterns. However, economic factors are not independent of political fluctuations, and as the political environment changes, the economic environment evolves with it. This has been especially evident in Iran after the 2008–2016 USA sanctions, as many pr

    Agility assessment in manufacturing companies

    Masoud Rahiminezhad Galankashi, Syed Ahmad Helmi, Abd Rahman Abdul Rahim, Farimah Mokhatab Rafiei
    Journal PapersBenchmarking: An International Journal , 2019 May 28, {Pages }

    Abstract

    Purpose The purpose of this paper is to propose a framework to assess the agility of manufacturing companies. Design/methodology/approach Particularly, three supply chain logistic drivers (facility, transportation and inventory) along with three cross-functional drivers (information, sourcing and pricing) are selected as the main sets to classify all required activities of agility. In addition, supply chain contracts, as an important indicator of supply chain agility, is also considered to categorize the activities. These activities are ranked using an (AHP) and then categorized based on the major perspectives of agility. Finally, using a cycle view of supply chain, the developed activities are categorized as the major policies of supply

    Application of fuzzy analytic hierarchy process (FAHP) in failure investigation of knowledge-based business plans

    Fatemeh Khorramrouz, Niloufar Pourmahdi Kajabadi, Masoud Rahiminezhad Galankashi, Farimah Mokhatab Rafiei
    Journal PapersSN Applied Sciences , Volume 1 , Issue 11, 2019 November 1, {Pages 1386 }

    Abstract

    This research develops a fuzzy analytic hierarchy process (FAHP) to investigate and prioritize the failures of knowledge-based business plans. Although the concept of failure investigation has been discussed in previous studies, its integration with knowledge-based business plans is not investigated yet. To fill this gap, this research is completed in three main steps as follows. Firstly, the general failures of business are developed from the previous literature. Secondly, the developed failures are investigated with regard to their availability in knowledge-based business plans. Finally, a FAHP is applied to prioritize the failures of knowledge-based business plans. According to the obtained results, lack of managerial expe

    An integrated fuzzy-AHP and TOPSIS approach for maintenance policy selection

    Narges Hemmati, Masoud Rahiminezhad Galankashi, DM Imani, Farimah Mokhatab Rafiei
    Journal PapersInternational Journal of Quality & Reliability Management , 2019 December 2, {Pages }

    Abstract

    PurposeThe purpose of this paper is to select the best maintenance policy for different types of equipment of a manufacturer integrating the fuzzy analytic hierarchy process (FAHP) and the technique for order of preference by similarity to ideal solution (TOPSIS) models.Design/methodology/approachThe decision hierarchy of this research includes three levels. The first level aims to choose the best maintenance policy for different types of equipment of an acid manufacturer. These equipment pieces include molten sulfur ponds, boiler, absorption tower, cooling towers, converter, heat exchanger and sulfur fuel furnace. The second level includes decision criteria of added-value, risk level and the cost. Lastly, the third level comprises time-bas

    Statistical Arbitrage Strategy Based on Factor Models of Prices in Iran's stock exchange market

    Farimah Mokhatab Rafiei, Kamyar Nourbakhsh
    Journal PapersJournal of Investment Knowledge , Volume 8 , Issue 32, 2019 December 22, {Pages 37-50 }

    Abstract

    Statistical Arbitrage Strategies are looking for profitable opportunities using statistical methods. In this paper, we use a new approach to devise a statistical arbitrage strategy in Iran’s stock exchange market. In this new approach, instead of model and forecast stock prices independently, we take them as a whole and extract their common movement patterns, which can represent the general market movements, with principal component analysis. After that, we model and forecast these patterns (factors) and through them, we forecast the stock returns. Ultimately, we construct portfolios from chosen stocks in each period. Empirical result of this paper show the profitability of these strategies. chosen strategy, with time window of 100 days a

    Developing an integrated decision making model in supply chain under demand uncertainty using genetic algorithm and network data envelopment analysis

    S Nakhjirkan, FM Rafiei, AH Kashan
    Journal Papers , , {Pages }

    Abstract

    Prioritising different branches of Meli Bank based on motivation creating factors organised by gap analysis approach and multi criteria decision making-case study: Meli Bank's?…

    Monir Al-sadat Mousavi Nejad, Farimah Mokhatab-Rafiei, Hadi Shirouyehzad
    Journal PapersInternational Journal of Productivity and Quality Management , Volume 24 , Issue 3, 2018 January , {Pages 301-322 }

    Abstract

    Recognising job motivation is a necessity which can boost job satisfaction employees. In the present work, Herzberg's theory and other extracted variables from previous literature are used here. The aim of the present study is to identify different motivation creating factors for personnel. Thus after extracting all motivation creating factors a questionnaire was devised. More frequent variables were chosen, then by considering the importance of this factors among personnel another questionnaire was designed. This questionnaire was distributed among employees to assess motivation creating factors .Most repeated factors were categorised based on ranking gap analysis and graphs. Some branches of Meli bank of Najaf Abad based on these categori

    Performance evaluation of the public transportation system in Esfahan Steel Company from the production line employees' perspective with data envelopment analysis approach

    Parisa Pendar, Farimah Mokhatab-Rafiei, Seyed Akbar Nilipour-Tabatabaei
    Journal PapersInternational Journal of Productivity and Quality Management , Volume 23 , Issue 2, 2018 January , {Pages 137-162 }

    Abstract

    Public transportation is considered as one of the important parts in factories transportation systems which are known as 'employees' public transportation system'. In order to evaluate this system in Esfahan Steel Company, merely from the production line staff perspective, in this study the factors effective on employees' satisfaction in terms of the transportation system quality were identified only through the interviewing with a group of production line workers. Final data obtained through interviewing and questionnaire were collected during four months from April to July 2015 and were considered as inputs of the study decision making units (DMUs) in data envelopment analysis (DEA). Solving the above mentioned model via Software LINGO 16

    Performance evaluation of the public transportation system in Esfahan Steel Company from the production line employees' perspective with data envelopment analy...

    Parisa Pendar, Farimah Mokhatab-Rafiei, Seyed Akbar Nilipour-Tabatabaei
    Journal PapersInternational Journal of Productivity and Quality Management , Volume 23 , Issue 2, 2018 January , {Pages 137-162 }

    Abstract

    Public transportation is considered as one of the important parts in factories transportation systems which are known as' employees' public transportation system'. In order to evaluate this system in Esfahan Steel Company, merely from the production line staff perspective, in this study the factors effective on employees' satisfaction in terms of the transportation system quality were identified only through the interviewing with a group of production line workers. Final data obtained through interviewing and questionnaire were collected during four months from April to July 2015 and were considered as inputs of the study decision making units (DMUs) in data envelopment analysis (DEA). Solving the above mentioned model via Software LINGO 16

    Market neutral statistical arbitrage strategy by factor models in Tehran stock exchange

    RAFIEI FARIMAH MOKHATAB, Kamyar Nourbakhsh
    Journal Papers , Volume 11 , Issue 3900791, 2018 January 1, {Pages 83-93 }

    Abstract

    forecasting price movements is a challenging issue. So different statistical arbitrage strategies are devised to trade in exchanges. Some of these strategies are market neutral. Market neutral strategies are neutral to market movements and make profits in any situation. These strategies use long and short positions at the same time and this makes them unusable in exchanges like Tehran stock exchange that only long position is available. Purpose of this paper is devising a market neutral statistical arbitrage strategy which can be used in Tehran stock exchange. In devising this strategy we use principal component analysis to estimate market movements and calculate stocks idiosyncratic movements. To forecasting stocks idiosyncratic movements,

    Prioritising different branches of Meli Bank based on motivation creating factors organised by gap analysis approach and multi criteria decision making-case study: Meli Bank's …

    MAM Nejad, F Mokhatab-Rafiei, H Shirouyehzad
    Journal Papers , , {Pages }

    Abstract

    Integrating vendor selection problem and distribution-inventory decisions in a three level supply chain with stochastic demand

    Mokhatab Rafiee Farimah Emtehani Farank
    Journal PapersInternational Journal of Industrial Engineering & Production Management , Volume 27 , Issue 1, 2016 January , {Pages 13-23 }

    Abstract

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