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محاسبۀ میزان اقتصادیبودن فرایندهای مالی سرمایهگذاری فازی با بهکارگیری شاخص نرخ بازده سرمایۀ اقتصادی قابل اعتماد
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نویسنده
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بابایی بهنام ,جاسبی عبدالله
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منبع
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پژوهش در مديريت توليد و عمليات - 1400 - دوره : 12 - شماره : 1 - صفحه:77 -101
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چکیده
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شاخص نرخ بازده سرمایۀ اقتصادی، یکی از سنجههای مناسبی است که در سالهای اخیر برای تعیین اقتصادیبودن پروژههای سرمایهگذاری ارائه شده است. شاخص مذکور از مراحل حل ساده، توانایی حل مشکلات چندنرخی و نبود نرخ بازده سرمایه برخوردار است؛ اما این شاخص، نواقص مهمی دارد که کاربرد آن را با محدودیتهای جدی مواجه کرده است. بر این اساس، این پژوهش، شاخص جدیدی را با نام نرخ بازده سرمایۀ اقتصادی قابل اعتماد معرفی میکند که از شاخص یادشده نشئت گرفته؛ اما معایب آن را بهطور کامل رفع کرده است. همچنین، در برخی از مواقع، برآورد مقادیر فرایندهای مالی بهصورت عددی قطعی، امر دشواری است که ممکن است به اتخاذ تصمیم اشتباه در پذیرش یا رد پروژهها منجر شود؛ به همین منظور، این پژوهش با تعریف مقادیر فرایند مالی برحسب اعداد فازی، راهکار جدیدی را معرفی میکند تا ضمن محاسبۀ نرخ بازده سرمایۀ اقتصادی قابل اعتماد تحت محیط فازی، درجۀ امکان اقتصادیبودن پروژههای سرمایهگذاری را نیز با قابلیت اطمینان بالا و سازگار با روش ارزش فعلی تعیین کند. درنهایت، این مقاله با استفاده از نرمافزار @risk از روش شبیهسازی مونت کارلو برای تحلیل و اعتبارسنجی نتایج استفاده کرده است.
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کلیدواژه
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ارزیابی اقتصادی پروژههای سرمایهگذاری، فرایندهای مالی سرمایهگذاری فازی، نرخ بازده سرمایۀ اقتصادی قابل اعتماد فازی، درجۀ امکان اقتصادیبودن، شبیهسازی مونت کارلو
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آدرس
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دانشگاه علم و صنعت, دانشکده مهندسی صنایع, گروه مهندسی سیستم, ایران, دانشگاه علم و صنعت ایران, دانشکده مهندسی صنایع, گروه مدیریت سیستم و بهره وری, ایران
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پست الکترونیکی
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a.jassbi@gmail.com
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Calculation of the profitability of fuzzy investment cash flows using the reliable economic rate of return measure
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Authors
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babaie behnam ,Jasbi Abdollah
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Abstract
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Purpose Today, due to the breadth, diversity and multiplicity of investment projects, decision makers and investors are faced with the issue of choosing the most profitable project. The economic rate of return (ERR) index is one of the proper indices that has been presented to determine the profitability of the projects. However, the ERR index has important shortcomings that have led to serious limitations in its use. In this regard, this paper introduces a new measure called the reliable economic rate of return (RERR), which has originated from ERR measure, but it has resolved the drawbacks of ERR index. On the other hand, this paper proposes a new solution by considering the values of the cash flow in terms of fuzzy numbers. After calculating the fuzzy economic rate of return, the profitability potentiality degree of the investment projects can be determined as well as their reliability based on the net present value (NPV) method. Design/methodology/approach This paper proves that if we equate the initial cash flow of investment projects with the sum of the negative values of the relevant cash flow stream, then the RERR value would be greater than ‘1’. In this regard, this paper proposes a solution to modify the initial and final values of the investment cash flow stream, merely without changing middle values. Thereby, the NPV of the modified cash flow does not change. On the other hand, it is sometimes difficult to estimate the values of cash flows as a crisp number, which may lead to a wrong decision in accepting or rejecting projects. For this purpose, this paper considers the values of cash flow stream as fuzzy numbers and describes a solution for calculating the fuzzy RERR using the αcut method and the RERR index. The proposed solution is compatible with the NPV method and also has fewer calculations than the other methods. This paper also proposes a method that calculates the profitability potentiality degree of projects and provides more comprehensive information to the decision makers by examining the intervals obtained from cutting the fuzzy values of the projects and presenting a new and reliable solution. Findings Using the @RISK software, it was found that the estimation of fuzzy return rate using RERR index and αcut method is very close to the simulation result. It confirms the appropriate accuracy of the proposed solution. Also, the results obtained from the software in determining the profitability of projects indicated that the proposed solution is more accurate than the methods of ‘comparison of the expected intervals’ and ‘strict exceedance possibility’. It is also fully compatible with the NPV method. Research limitations/implications In this research the market rate is assumed constant, while, in practice it can vary over the periods. Defining the market rate as an inconstant parameter, using the robust optimization approach and investigating the subject of this paper under other uncertainty environments are future study suggestions to both researchers and practitioners.Practical implications One of the most important applications of this study is in risky projects wherein estimating the values of cash flow stream as a crisp number is difficult. The results of this paper help decision makers in reducing risk and determining the project profitability. It is worth mentioning that the solution proposed in this paper can be used for all projects with any cash flow stream value. Social implications Failure to make the correct decision regarding the acceptance or rejection of the projects could have major negative consequences for the companies, organizations and even society. This paper helps decision makers, investors and organizations to determine the projects profitability that could benefit organizations and society. Originality/value This paper proposes the RERR measure as a profitability index such with several favorable properties: (ⅰ) it exists and is unique, (ⅱ) it is NPVconsistent in accepting/rejecting decisions, (ⅲ) it provides values greater than ‘1’, (ⅳ) it takes into account all of the project’s outflows which may be regarded by some practitioners as an appropriate indicator of the overall investment. Furthermore, this paper proposes an appropriate method for calculating the fuzzy RERR and a new method for determining the profitability potentiality degree of the investment projects based on the NPV method.
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Keywords
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