ORIGINAL_ARTICLE
مسئله مکان یابی سرویس دهنده غیر ظرفیت دار k –کالایی و t-حالتی با هزینه های تصادفی فازی
در این مقاله، مسئله مکانیابی سرویسدهنده غیر ظرفیتدار -کالایی و -حالتی مورد بررسی قرار میگیرد. بهعبارت دقیقتر، فرض میشود که یک مشتری میتواند کالای متفاوت را در یک شبکه -حالتی تقاضا کند. ابتدا یک فرمولبندی ریاضی برای مسئله مکانیابی سرویسدهنده غیر ظرفیتدار -کالایی و -حالتی با هزینههای قطعی ارائه میشود. همچنین، نشان داده میشود که این مسئله یک مسئله Np -سخت است. با توجه به اینکه در بیشتر مسائل دنیای واقعی دادههای ورودی اغلب مبهم و غیرقطعی هستند، ما در ادامه مسئله مکانیابی سرویسدهنده غیر ظرفیتدار -کالایی و -حالتی که در آن هزینههای تاسیس سرویسدهندهها و هزینههای سرویسدهی مشتریان متغیرهای تصادفی فازی هستند را مورد تحلیل و ارزیابی قرار میدهیم. با بکاربردن سه معیار احتمال-امکان، احتمال-الزام و احتمال-اعتبار، مدل مکانیابی سرویسدهنده غیر ظرفیتدار -کالایی و -حالتی تصادفی فازی به یک مسئله برنامهریزی درجه دوم قطعی تبدیل میشود. درنهایت، یک مثال کاربردی برای نشان دادن کارآیی رویکردهای پیشنهادی ارائه میشود.
https://www.journal-dmor.ir/article_120200_8352934845c03eec62d837380833076e.pdf
2020-11-21
249
271
10.22105/dmor.2020.243416.1200
مسئله مکانیابی سرویسدهنده غیرظرفیتدار
متغیر تصادفی فازی
احتمال-امکان
احتمال-الزام
احتمال-اعتبار
سپیده
تقی خانی
staghikhani234@gmail.com
1
گروه ریاضی کاربردی، دانشکده علوم پایه مهندسی، دانشگاه صنعتی سهند ، تبریز، ایران.
AUTHOR
فهیمه
باروقی
baroughi@sut.ac.ir
2
گروه ریاضی کاربردی، دانشکده علوم پایه مهندسی، دانشگاه صنعتی سهند ، تبریز، ایران.
LEAD_AUTHOR
بهروز
علی زاده
alizadeh@sut.ac.ir
3
گروه ریاضی کاربردی، دانشکده علوم پایه مهندسی، دانشگاه صنعتی سهند، تبریز، ایران.
AUTHOR
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ORIGINAL_ARTICLE
مدلسازی پویا جهت ارزیابی کارائی در شبکه تامین چند سطحی متوالی
تحلیل پوششی دادهها یکی از روشهای پرکاربرد در زمینه ارزیابی و محکزنی کارایی نسبی مجموعهای از واحدهای تصمیمگیری همگن با ورودیها و خروجیهای مشابه میباشد. با این حال، مدلهای کلاسیک و شبکهای ساده در تحلیل پوششی دادهها قادر به محاسبه کارایی شبکههای تأمین چندمرحلهای و متوالی نیستند. این نوع از شبکهها علاوه بر ساختار متوالی، دارای مؤلفههای اختصاصی و مشترک بوده که در طی دوره زمانی عملکرد سیستم را تحتالشعاع قرار میدهند. هدف این مقاله مدلسازی در قالب توسعه مدل غیر شعاعی SBM و ارائه مدل تحلیل پوششی دادههای پویا جهت ارزیابی عملکرد شبکه تأمین پایدار میباشد. این مدل بهعنوان یک شبکه گسترده و چند سطحی در صنعت سیمان اعتبار سنجی شده است و امکان محاسبه کارایی در سطوح پنجگانه شبکه تأمین را در دورههای متوالی فراهم میآورد. نتایج نشان داد مدل جدید در مقایسه با مدلهای کلاسیک و شبکهای ایستا، ارزیابی منطقی و نزدیک به واقعیت را انجام میدهد و مشکلات مدلهای شبکه ساده نیز، برطرف شده است.
https://www.journal-dmor.ir/article_120313_014efd1542db99a069f805dbd8ff5ee3.pdf
2020-11-21
272
289
10.22105/dmor.2020.242474.1196
شبکه تامین چند سطحی
شبکه متوالی
تحلیل پوششی دادههای پویا
محمد حسین
درویش متولی
mhd.darvish@gmail.com
1
گروه مدیریت صنعتی، واحد تهران غرب، دانشگاه آزاد اسلامی، تهران، ایران.
LEAD_AUTHOR
مجید
معتمدی
mmoatamedy@gmail.com
2
گروه مدیریت صنعتی، واحد نوشهر، دانشگاه آزاد اسلامی، نوشهر، ایران.
LEAD_AUTHOR
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ORIGINAL_ARTICLE
بازیافت-مسیریابی-موجودی پویای چندهدفه برای داروهای مختلف با در نظر گرفتن تخفیف در زنجیره تامین حلقه بسته
این پژوهش، یک شبکه زنجیره تأمین حلقه بسته اقلام دارویی شامل یک داروسازی، مرکز توزیع، مرکز بازیافت و تعدادی داروخانه مدنظر است که در آن دو نوع مسیریابی انجام میگیرد. نوع اول شامل مسیریابی وسایل نقلیه بین مرکز توزیع و داروخانههاست و نوع دوم به مسیریابی وسایل نقلیه مرکز بازیافت و کلیه مراکز مرتبط میگردد. در این مسئله داروهای یخچالی و غیریخچالی در نظر گرفته شده است که مرکز توزیع میتواند با توجه به میزان تقاضاهای متفاوت برای دورههای متفاوت تخفیفاتی را در نظر بگیرد. علاوه بر این، مرکز توزیع دارو میتواند به دلایلی نظیر وقوع بحرانهایی مثل زلزله، سیل و ... یا شیوع بیماریهای مسری همچون کرونا از طریق اجاره انبارهای بیشتر، ظرفیت خود را افزایش دهد. همچنین، این مسئله شامل دو هدف حداقل کردن هزینهها و کاهش میزان آلایندگیهای زیستمحیطی ناشی از انتشار دیاکسید کربن است. مسئله موردنظر در بعد کوچک با روش اپسیلون محدودیت و در بعد بزرگ با دو الگوریتم هیبریدی فراابتکاری به نامهای فوردیسوبستر- ژنتیک مرتبسازی نامغلوب نوع 2(NSGAII-FW) و شبیهسازی تبرید چندهدفه (MOSA) حل شده است و توسط معیارهای مختلف مورد ارزیابی قرار گرفته است. لازم به ذکر است که الگوریتم هیبریدی فراابتکاری NSGAII-FW برمبنای الگوریتم ابتکاری فوردیس وبستر برای مسائل موجودی و الگوریتم فراابتکاری ژنتیک مرتبسازی نامغلوب نوع 2 (معمولاً مناسب برای مسائل چندهدفه) ابداع شده است. نتایج محاسباتی و مقایسات نشان میدهند که الگوریتم NSGA II-FWکاراتر از الگوریتم MOSA است.
https://www.journal-dmor.ir/article_120337_29a24caf0f6549000bb74b0093f5ca91.pdf
2020-11-21
290
311
10.22105/dmor.2020.237709.1170
زنجیره تامین حلقه بسته
تخفیف
بازیافت-مسیریابی-موجودی
اپسیلون محدودیت
NSGAII-FW
MOSA
سمیرا
کیانی
samirakiany1367@gmail.com
1
کارشناس ارشد، گروه مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه بوعلی سینا، همدان، ایران.
AUTHOR
پروانه
سموئی
p.samouei@basu.ac.ir
2
استادیار، گروه مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه بوعلی سینا، همدان، ایران.
LEAD_AUTHOR
Azadeh, A., Hosseinebadi, M., & Nasirian, B. (2017). A genetic Algorithm-Taguchi based approach to inventory routing problem of a single perishable product with transshipment. Computers & industrial engineering, 104, 124-133. https://doi.org/10.1016/j.cie.2016.12.019
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Babaee Tirkolaee, E., Hadian, S., Weber, G., & Mahdavi, I. (2020). A robust green traffic-based routing problem for perishable products distribution. Computational intelligence, 36, 80-101. https://doi.org/10.1111/coin.12240
2
Balamurugan, T., karunamoorthy, L., Arunkumar, N., & Santhosh, D. (2018). Optimization of inventory routing problem to minimize carbon dioxide emission. International journal of simulation modelling, 17(1), 42-54. https://doi.org/10.2507/IJSIMM17(1)410
3
Bouziyane, B., Dkhissi, B., & Cherkaoui, M. (2020). Mutiobjective optimization in delivering pharmaceutical products with disrupted vehicle routing problem. International journal of industrial engineering computations, 11, 299-300. https://doi.org/10.5267/j.ijiec.2019.7.003
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Cheng, C., Qi, M., Wang, X., & Zhang, Y. (2016). Multi-period inventory routing problem under carbon emission regulations. International journal production economics, 182, 263-275. https://doi.org/10.1016/j.ijpe.2016.09.001
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Imran, M., Salman Habib, M., Hussain, A., Ahmed, N., & Al-Ahmari, A. (2020). Inventory routing problem in supply chain of perishable products under cost uncertainty. Mathematics, 8, 382, 1-29. https://doi.org/10.3390/math8030382
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17
Manavizadeh, N., Shaabani, M., & Aghamohammadi-Bosjin, S. (2020). Designing a green location routing inventory problem considering transportation risks and time window: a case study. Journal of industrial and systems engineering, 4, 27-56. Retrieved from http://www.jise.ir/article_96020.html
18
Najafi, A., & Fazeli Sabzevar., E. (2014). A bi-objective portfolio rebalancing model for index traking problem under transaction costs and solving it using meta-heuristic. Financial knowledge of securities analysis, 7(24), 79-95. (In Persian). Retrieved from https://www.sid.ir/en/journal/ViewPaper.aspx?id=416547
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20
Rabbani, M., Farrokhi-Asl, H., & Asgarian, B. (2017). Solving a bi-objective location routing problem by a NSGA-II combined with clustering approach: application in waste collection problem. Journal of industrial engineering international, 13(1), 13-27. https://doi.org/10.1007/s40092-016-0172-8
21
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23
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25
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32
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34
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35
ORIGINAL_ARTICLE
ارائهی الگویی برای منبع یابی در شرکتهای تولیدی با ترکیب روشهای دیمتل، فرایند تحلیل شبکهای و پرامتی (موردمطالعه: کارخانه ایرانخودرو دیزل)
یکی از چالشهای مدیران برای انتخاب راهبرد مناسب منبع یابی، تصمیمگیری در خصوص ساخت یا برونسپاری اقلام است. امروزه علاوه بر دو رویکرد موجود، گزینه منبع یابی همزمان به تصمیمگیری مدیران اضافه شده است. در این تحقیق، بهمنظور تعیین راهبرد مناسب منبع یابی، ابتدا 25 قلم کالای سبد تأمین شرکت ایرانخودرو دیزل بر مبنای الگوی سبدی مدیریت تأمین کرالجیک که از پر استنادترین الگوهای مدیریت تأمین است، در چهار گروه دستهبندی شدند. سپس 39 معیار تأثیرگذار بر منبعیابی بر اساس سه الگوی "مدیریت ریسک"، "نظریه منبع پایه" و "نظریه هزینه مبادله" شناسایی گردیدند. معیارهای شناسایی شده با استفاده از آزمون فرضیه فازی غربال و بومی شدند تا در نهایت 15 معیار انتخاب گردید. در گام بعدی، روابط بین معیارها با رویکرد دیمتل مشخص شدند. سپس وزن هر معیار با روش فرآیند تحلیل شبکهای تعیین گردید. در پایان، با استفاده از روش پرامتی راهبرد مناسب منبع یابی برای هر گروه از اقلام تجویز شد و نتایج با دستورالعملهای کرالجیک مقایسه شدند. بهترین راهبرد منبع یابی برای گروه کالاهای استراتژیک ساخت داخلی آن است، درصورتیکه کالاهای اهرمی و غیر بحرانی بهتر است برونسپاری و کالاهای گلوگاهی بهتر است منبع یابی همزمان شوند.
https://www.journal-dmor.ir/article_120346_e5f51dc19d7805a0b9178b95a471ab25.pdf
2020-11-21
312
329
10.22105/dmor.2020.229586.1148
منبع یابی
مدیریت تامین
روشهای تصمیم گیری چند معیاره
جهانیار
بامداد صوفی
bamdadsofi@atu.ac.ir
1
دانشیار گروه مدیریت صنعتی، دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبایی، تهران، ایران.
LEAD_AUTHOR
ثمین
سعیدپور
s_saeidpour@atu.ac.ir
2
کارشناسیارشد مدیریت صنعتی، دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبایی، تهران، ایران.
AUTHOR
فاطمه
محمدنژاد چاری
f_mohammadnezhad@atu.ac.ir
3
دانشجوی دکتری مدیریت صنعتی، دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبایی، تهران، ایران.
AUTHOR
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ORIGINAL_ARTICLE
انتخاب شریک در ائتلافهای استراتژیک با استفاده از ترکیب روشهای تصمیمگیری چندشاخصه(مورد مطالعه: یکی از کنسرسیومهای نفتی کشور)
کنسرسیومهای نفتی در ایران یکی از مهمترین رویکردهای اجرای پروژههای عظیم صنعت پتروشیمی به شمار میآیند؛ اما در این میان انتخاب شرکایی لایق یکی از گلوگاههای بسیار حیاتی در چنین شبکههای همکاری است. هدف از این مقاله ارائه راهحلی کاربردی و درعینحال ساده است. تا تصمیمگیرندگان بتوانند انتخاب شایستهای از میان کاندیدها به عملآورند. بدین منظور مدل سه مرحلهای طراحیشده است که در مرحله نخست ابتدا شاخصهای تأثیرگذار بر انتخاب شریک از دیدگاه خبرگان و مرور ادبیات گردآوری و با کمک روش سوارا وزن دهی شد. در مرحله بعد رتبهبندی شرکا (6 شرکت داخلی و 4 شرکت خارجی) بر اساس مجموعهای از روشهای تصمیمگیری همچون کوپراس، ویکور، وزن دهی تجمعی ساده، تاپسیس، آراس، مورا و مولتی مورا صورت گرفت. در مرحله نهایی به ادغام نتایج رتبهبندی بر اساس کپلند پرداخته شد. در پایان، توانایی مالی و نسبت بدهی و توان بازپرداخت بهعنوان مهمترین شاخص و زیر شاخص معرفی شدند. همچنین شریک 3 بهعنوان برترین کاندید از سوی کپلند انتخاب شد. درنهایت، بهمنظور سنجش عملکرد ادغام نتایج از ضریب همبستگی اسپیرمن استفاده و نتایج قرابت بالای آزمون و ادغام نتایج حاصل شد، بنابراین میتوان گفت رویکرد مورداستفاده عملکرد مطلوبی داشته است.
https://www.journal-dmor.ir/article_120394_dae0e31bb7f7b6ce889c300f179c3d7a.pdf
2020-12-10
330
361
10.22105/dmor.2020.240646.1190
ائتلاف استراتژیک
مسئله انتخاب شریک
سوارا
تصمیم گیری چندشاخصه
کپ لند
زهرا
شعاعی نایینی
yasishoaie@gmail.com
1
کارشناسی ارشد مهندسی صنایع- مدلسازی سیستمهای کلان، دانشکده مهندسی صنایع و سیستمها، دانشگاه تربیت مدرس، تهران، ایران.
AUTHOR
پرستو
محمدی
p.mohammadi@modares.ac.ir
2
استادیار گروه سیستمهای اقتصادی و اجتماعی، دانشکده مهندسی صنایع و سیستمها، دانشگاه تربیت مدرس، تهران، ایران.
LEAD_AUTHOR
علی
حسین زاده کاشان
a.kashan@modares.ac.ir
3
دانشیار گروه سیستمهای اقتصادی و اجتماعی، دانشکده مهندسی صنایع و سیستمها، دانشگاه تربیت مدرس، تهران، ایران.
AUTHOR
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ORIGINAL_ARTICLE
مسئله پوشش کامل در حالت حداکثر سازی پراکندگی مکانی با در نظر گرفتن تسهیلات موجود، محدودیت ظرفیت و هزینه متغیر انتقال
مسئله پوشش کامل ازجمله مسائل پرکاربرد مکانیابی تسهیلات محسوب میشود. در این مسئله هدف تعیین p مرکز سرویس بهگونهای است که با حداقل هزینه استقرار تمام نقاط تقاضا پوشش یابند. این مسائل ماهیت و حوزه عمل گستردهای دارند که هر یک از مدلها با لحاظکردن شرایط خاصی در تکاپوی یافتن جواب بهینه هستند. یکی از این شرایط میتواند حالتی باشد که افزون بر پوشش کامل تقاضا، پراکندگی مکانی تسهیلات نیز مدنظر قرار میگیرد. پراکندگی مکانی به معنای حداکثرسازی فاصله بین تسهیلات با توجه به محدودیتهای موجود است. این پژوهش بهدنبال ارائه مدلی مناسب با درنظر داشتن محدودیتهای قابل پیشبینی در دنیای واقعی و استفاده از یک روش مناسب برای حل مدل پوشش-پراکندگی است. بر همین اساس پوشش کامل فضای حل و انتخاب محل بهینه تسهیلات با حداکثر پراکندگی مکانی و با درنظر گرفتن حداقل تعداد تسهیلات و کمترین هزینه استقرار با توجه به محدودیت ظرفیت تسهیلات و حداقلنمودن هزینههای حملونقل از اهداف این پژوهش بهشمار میآید. با توجه به ماهیت NP-HARD مدلهای پوشش و ادبیات حل این مدلها، الگوریتمی برمبنای روش ژنتیک برای حل مدل طراحی شده است و بهمنظور افزایش کیفیت جواب مقادیر پارامترهای الگوریتم توسط روش طراحی آزمایش تاگوچی تنظیم شده است. نتایج بهدست آمده نشاندهنده مناسببودن الگوریتم مذکور برای مدل ارائه شده است.
https://www.journal-dmor.ir/article_120460_4d908a2eda95dc8e82cac62609e1ba99.pdf
2020-11-21
363
381
10.22105/dmor.2020.247977.1217
مساله پوشش کامل
پراکندگی تسهیلات
الگوریتم ژنتیک
روش تاگوچی
علی
نعیمی صدیق
naimi@irandoc.ac.ir
1
گروه پژوهشی کسب و کار الکترونیک، پژوهشکده فناوری اطلاعات، پژوهشگاه علوم و فناوری اطلاعات ایران (ایرانداک).
LEAD_AUTHOR
امیر
امامی
arshia1991.em@gmail.com
2
کارشناسی ارشد مهندسی صنایع، واحد الکترونیکی، دانشگاه آزاد اسلامی ، تهران، ایران.
AUTHOR
مرضیه
مظفری
m_mozafari@iauec.ac.ir
3
استادیار دانشکده مهندسی صنایع، واحد الکترونیکی، دانشگاه آزاد اسلامی، تهران، ایران.
AUTHOR
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45
ORIGINAL_ARTICLE
پیشبینی و رتبهبندی فاکتورهای جذب مشتری در شرکتهای بیمه به وسیله مدل تحلیلپوششیدادههایشبکهای و تئوری پویاییشناسی انتشار باس
افزایش رقابت در صنعت بیمه، اکثر مدیران این صنعت را به فکر چارهاندیشی برای حضور ماندگار در عرصه کسبوکار انداختهاست، بنابراین آنها ناگزیرند، به دنبال راهکارهایی باشند که در کنار افزایش فروش بیمهنامهها به هدفهای دیگری نیز دستیابند ازجمله فاکتورهای جذب مشتری نظیر کاهش هزینهها، کیفیت خدمات، رفتار مناسب کارکنان، کاهش بوروکراسی اداری، کاهش زمان انجام کار مشتری حین ورود به شرکت، کاهش زمان پرداخت خسارت به مشتری و نوآوری برای بهدست آوردن مزیت رقابتی و غیره. لذا هدف این پژوهش پیشبینی و رتبهبندی فاکتورهای جذب مشتری در شرکت بیمه ملت شیراز طی سه سال 1398 تا 1400 میباشد. برای این منظور از ابزار پویاییشناسی و تحلیل پوششی دادههای شبکهای استفاده شده است. بهمنظور تدوین فاکتورهای جذب مشتری ابتدا نمودار علی-حلقوی و سپس نمودار جریان-حالت، شبیهسازی شد. سپس این عملیات برای سناریوهای مختلف اجرا گردید و نتایج شبیهسازی شده بهعنوان ورودی مدل تحلیل پوششی دادههای شبکهای قرار گرفته شد و بر اساس نتیجه بهدستآمده، بهترین و کاراترین فاکتورهای جذب مشتری انتخاب شد و به بررسی تعامل این برگ خریدها و میزان تأثیر آنها بر موفقیت مشتری مداری پرداخته شد.
https://www.journal-dmor.ir/article_120326_92d74ee6519c467d234115d3251650ef.pdf
2020-11-21
382
401
10.22105/dmor.2020.237734.1188
رتبهبندی
تئوری انتشار باس
مدل پویاییشناسیسیستمها
مدل تحلیلپوششیدادههای شبکهای
مجتبی
کاوه
mojtabakaveh@gmail.com
1
گروه مدیریت بازرگانی، دانشگاه یزد، یزد، ایران.
AUTHOR
سعید
سعیدا اردکانی
dr.saeida@gmail.com
2
گروه مدیریت بازرگانی، دانشگاه یزد، یزد، ایران.
LEAD_AUTHOR
مرتضی
شفیعی
ma.shafiee277@gmail.com
3
دانشیار گروه مدیریت صنعتی، دانشکده اقتصاد و مدیریت، واحد شیراز، دانشگاه آزاد اسلامی، شیراز، ایران.
AUTHOR
سید محمد
طباطبایی نسب
tabatabaeenasab@yazd.ac.ir
4
گروه مدیریت بازرگانی، دانشگاه یزد، یزد، ایران.
AUTHOR
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Fallah Jelodar, M. (2016). Evaluating the efficiency of Iranian power distribution companies using a combined model of neural networks and data envelopment analysis. Journal of operational research and its applications, 4(51), 67-83. (In Persian). http://jamlu.liau.ac.ir/article-1-1411-fa.html
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46
ORIGINAL_ARTICLE
سنجش کارایی موسسات حسابرسی با استفاده از تحلیل پوششی داده ها
امروزه تحلیل پوششی دادهها تکنیکی مناسب و سودمند برای سنجش و ارزیابی کارایی واحدهای تصمیمگیرنده میباشد. این تکنیک در ارزیابی کارایی واحدها در حسابرسی نیز ابزاری کارامد محسوب میشود. از اینرو، هدف این مقاله آن است تا با بهکارگیری تحلیل پوششی دادهها، کارایی موسسات حسابرسی را از نظر کیفیت حسابرسی مورد بررسی قرار دهد. مبانی نظری و دادههای پژوهش حاضر براساس مطالعات کتابخانهای از صنعت داروسازی شرکتهای فعال در بورس اوراق بهادار تهران جمعآوری شده است. در این پژوهش، متغیر خروجی کیفیت حسابرسی و متغیرهای ورودی شامل تعداد شرکای موسسات حسابرسی، حقالزحمه حسابرسی و نفر ساعات کار حسابرسی در هر شرکت میباشد. نتایج با استفاده از روش کارایی متقاطع تحلیل پوششی دادهها، نشان میدهد موسسات حسابرسی بهمند، آزموده کاران و آروین ارقام پارس رتبههای اول تا سوم را از لحاظ کارایی برخوردار هستند. شواهد این پژوهش تایید مینمایند که تحلیل پوششی دادهها میتواند بهعنوان روشی مناسب برای تجزیهوتحلیل کارایی موسسات حسابرسی در سیاستگذاریهای بازار سرمایه بهمنظور ارزیابی کیفیت کار حسابرسان در راستای حمایت از سرمایهگذاران توسط تحلیلگران مالی و سیاستگذاران بازار سرمایه قرار گیرد.
https://www.journal-dmor.ir/article_115243_455e192f58f309e198348ae91c9e9ea5.pdf
2020-11-21
402
413
10.22105/dmor.2020.236384.1160
موسسات حسابرسی
تحلیل پوششی داده ها
کیفیت حسابرسی و کارایی
رضوان
شعبان
1
دانشجوی دکتری حسابداری، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران.
AUTHOR
بهمن
بنی مهد
dr.banimahd@gmail.com
2
گروه حسابداری، واحد کرج ، دانشگاه آزاد اسلامی، کرج، ایران.
LEAD_AUTHOR
فرهاد
حسین زاده لطفی
farhad@hosseinzadeh.ir
3
گروه ریاضی، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران.
AUTHOR
هاشم
نیکومرام
4
گروه حسابداری، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران ، ایران.
AUTHOR
Agyeman, A. S., Gyimah, A. G., & Adu-Asare, S. (2020). Assessing the impact of operational flaws on the performance of microfinance institutions in Ghana: a case study of selected microfinance institutions. Journal of applied research on industrial engineering, 7(1), 92-108.
1
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2
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management science, 30(9), 1078-1092.
3
Barros, C. P., Couto, E., & Samagaio, A. (2014). Productivity analysis of UK auditing firms. Australian accounting review, 24(4), 381-393.
4
Chang, H., Choy, H. L., Cooper, W. W., & Ruefli, T. W. (2009b). Using Malmquist Indexes to measure changes in the productivity and efficiency of US accounting firms before and after the Sarbanes–Oxley Act. Omega, 37(5), 951-960.
5
Chang, H., Choy, H. L., Cooper, W. W., Parker, B. R., & Ruefli, T. W. (2009a). Measuring productivity growth, technical progress, and efficiency changes of CPA firms prior to, and following the Sarbanes–Oxley Act. Socio-economic planning sciences, 43(4), 221-228.
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