ORIGINAL_ARTICLE
طراحی مدل ارزیابی عملکرد سازمان آموزش فنیوحرفهای کشور با تأکید بر رویکرد مالی
بهطورکلی نظامهای کنترل و سنجش عملکرد، رویهها و امور رسمی است که مدیران برای حفظ یا اصلاح الگوهای فعالیت و یا منابع سازمانی بهکار میگیرند. پژوهش حاضر از نظر هدف، پژوهشی توسعهای ـ کاربردی است؛ زیرا قصد دارد تا به «طراحی مدل ارزیابی عملکرد سازمان آموزش فنی و حرفهای کشور با تأکید بر رویکرد مالی» بپردازد و از این طریق به طراحان سازمان کمک کند تا شکل بهینه سازمان را اتخاذ کنند. در پژوهش حاضر، بر اساس هدفها و فرضیههای پژوهش، از روشهای پرسشنامه، مصاحبه و مطالعه اسناد و مدارک استفاده شده است؛ ازاینرو برای تجزیهوتحلیل دادههای جمعآوریشده ابتدا در سطح توصیفی با استفاده از شاخصهای آماری به توصیف سؤالهای پرسشنامه پرداخته شده و سپس در سطح استنباطی برای بررسی صحتوسقم فرضیهها و روابط بین متغیرهای پژوهش از تکنیک تحلیل مسیر استفاده شد. در برازش مدل از تحلیل عاملی تأییدی بهرهگیری شد و سپس وضعیت مؤلفهها با استفاده از آزمون تی بررسی و درنهایت مؤلفهها از نظر اهمیت و وضعیت فعلیشان بررسی و مقایسه شدند. نتایج نشان میدهد که شاخصها و مؤلفههای تعیینشده با درصد بالایی موردتأیید است و چنانچه مورد توجه مدیران قرار گیرد در ارتقا و بهبود عملکرد سازمان و بهینهسازی منابع بسیار مؤثر خواهد بود.
https://jimp.sbu.ac.ir/article_87556_bf01af1b5c2157225a61c1e1df3904da.pdf
2020-12-21
9
40
10.52547/jimp.10.4.9
آموزش مهارتی
ارزیابی عملکرد
تحلیل عاملی
رویکرد مالی
سازمان آموزش فنیوحرفهای
حمیده
قنبری
gh.ha20@gmail.com
1
دانشجوی دکتری، دانشگاه علامه طباطبایی.
AUTHOR
محمد حسن
ابراهیمی سرو علیا
2
استادیار، دانشگاه علامه طباطبایی.
AUTHOR
مقصود
امیری
amiri@atu.ac.ir
3
استاد، دانشگاه علامه طباطبائی.
LEAD_AUTHOR
قاسم
بولو
4
دانشیار، دانشگاه علامه طباطبایی.
AUTHOR
وجهالله
قربانیزاده
5
دانشیار، دانشگاه علامه طباطبایی.
AUTHOR
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17
ORIGINAL_ARTICLE
مدل خوشه بندی و پیش بینی ارزش طول عمر مشتری (مورد مطالعه: مشتریان مرکز شماره گذاری کالا و خدمات ایران)
یکی از مباحث مهم در زمینه حفظ مشتریان و چگونگی رفتار با آنها، ارزش طول عمر مشتری (CLV) است . هدف از این پژوهش، طراحی مدلی برای خوشه بندی و پیش بینی طول عمر مشتریان و همچنین ارزیابی مشتریان در مرکز شماره گذاری کالا و خدمات ایران است. در این پژوهش اطلاعات 74385 عضو این سازمان در بازه زمانی 1390 - 1396 دریافت شد. مشتریان توسط تکنیک داده کاوی CRISP طبقه بندی شده و درنهایت مدلی برای پیش بینی آن ها طراحی شد. ابتدا اعضا توسط مدل RFM و الگوریتم K-Means به 7 طبقه دسته بندی شده و سپس هر طبقه توسط روش محاسبه ارزش طول عمر مشتریان رتبه بندی شد. در ادامه توسط الگوریتم های رگرسیون لجستیک، درخت تصمیم و شبکه های عصبی، الگوهای پنهان بین داده ها و بخش های مختلف مشتریان کشف شدند. نتایج این پژوهش، رفتار مشتریان هر یک از خوشه ها را در خدمات مرکز و همچنین مدل رفتار مشتریان آتی را نشان داده است. این پژوهش با تحلیل خوشه ها به مدیران در ارائه راهبردهای بازاریابی، حفظ اعضای وفادار و جذب یا حذف اعضای غیرفعال، یاری می رساند. در پژوهش حاضر تعداد خوشه مناسب برای مشتریان 7 عدد است؛ همچنین در پیش بینی کلاس مشتریان عملکرد شبکه های عصبی با دقت 56 / 99 درصد نسبت دیگر الگوریتم ها بهتر بوده است.
https://jimp.sbu.ac.ir/article_87608_375a70f27ecdbe496ebceea9684a6d39.pdf
2020-12-21
41
63
10.52547/jimp.10.4.41
ارزش طول عمر مشتری
داده کاوی
RFM
خوشه بندی
پیش بینی
فاطمه
نبی زاده
fatemenabizade@hotmail.com
1
کارشناسی ارشد، دانشگاه مهرالبرز.
AUTHOR
سعید
روحانی
srouhani@ut.ac.ir
2
دانشیار، دانشگاه تهران.
LEAD_AUTHOR
1. Anitha, P., & Patil, M. M. (2019). RFM model for Customer Purchase Behavior using K-Means Algorithm. Journal of King Saud University-Computer and Information Sciences, 1319-1578.
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4. Cheng, C.-H., & Chen, Y.-S. (2009). Classifying the segmentation of customer value via RFM model and RS theory. Expert systems with applications, 36(3), 4176-4184.
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5. Cheng, C.-J., Chiu, S., Cheng, C.-B., & Wu, J.-Y. (2012). Customer lifetime value prediction by a Markov chain based data mining model: Application to an auto repair and maintenance company in Taiwan. Scientia Iranica, 19(3), 849-855.
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6. Christy, A. J., Umamakeswari, A., Priyatharsini, L., & Neyaa, A. (2018). RFM ranking–An effective approach to customer segmentation. Journal of King Saud University-Computer and Information Sciences.
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7. Daneshvar, A., Homayounfar, M., FarahmandNezhad, A. (2020), Development of an intelligent multi-criteria clustering method based on Promethee. Industrial Management Perspective, 36, 41-6. (In Persian)
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8. Dimitriadis, S., & Stevens, E. (2008). Integrated customer relationship management for service activities: an internal/external gap model. Managing Service Quality: An International Journal, 18(5), 496-511.
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9. Dursun, A., & Caber, M. (2016). Using data mining techniques for profiling profitable hotel customers: An application of RFM analysis. Tourism Management Perspectives, 18, 153-160.
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10. Farokhi, z. (2013). Segmentation of bankcard holders based on LRFM model using data mining techniques. Brand managemen Journal. (In Persian)
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14. Iranshahi, M. (2015), Investigating the Necessity and effect of CLV to using CRM in DANA Insurance Co. (In Persian)
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15. Jarahi, M., Ardakani, S., & Zareiyan, M. (2009). Investigating the role of information technology in implementing CRM electronically (eCRM). Quarterly Journal of Parks and Roshd Centers, 21. (In Persian)
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16. Khajvand, M., & Tarokh, M. J. (2011). Estimating customer future value of different customer segments based on adapted RFM model in retail banking context. Procedia Computer Science, 3, 1327-1332.
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18. Khatami FiroozAbadi, M., TaghaviFard, M., Sadjadi, Kh., Bamdad Soufi, J. (2018), Optimization through simulation to solve the problem of multi-objective allocation of services to the bank's clustered customers. Industrial Management Perspective, 30, 85-110. (In Persian)
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19. Kohli, A. K., & Jaworski, B. J. (1990). Market orientation: the construct, research propositions, and managerial implications. The Journal of Marketing, 54(2), 1-18.
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22. Monalisa, S., Nadya, P., & Novita, R. (2019). Analysis for Customer Lifetime Value Categorization with RFM Model. Procedia Computer Science, 161, 834-840.
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23. Moslehi, N., Kafashpour, A., & Naji Azimi, Z. (2014). Customer segmentation base on their CLV using LRFM model, Management Researches Journal, 7(25), 2014119-140. (In Persian)
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24. Motameni, A., Rezaei, M., & Ehghaghi, M. (2013). Designing a demand perdiction model in the ceramic and tile industry. Industrial Management Perspective, 9, 159-176. (In Persian)
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25. Qadadeh, W., & Abdallah, S. (2018). Customers Segmentation in the Insurance Company (TIC) Dataset. Procedia computer science, 144, 277-290.
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26. Romano Jr, N. C., & Fjermestad, J. (2001). Electronic commerce customer relationship management: An assessment of research. International Journal of Electronic Commerce, 6(2), 61-113.
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ORIGINAL_ARTICLE
تأثیر استراتژیهای ناب و چابک زنجیره تأمین بر پاسخگویی زنجیره تأمین و عملکرد شرکت: نقش میانجی بهتعویقانداختن و مشارکت استراتژیک تأمینکنندگان (مورد مطالعه: صنعت خودروسازی)
در این پژوهش قصد بر این است تا تأثیر استراتژیهای ناب و چابک زنجیره تأمین بر پاسخگویی زنجیره تأمین و عملکرد شرکت با نقش میانجی بهتعویقانداختن و مشارکت استراتژیک تأمینکنندگان در صنعت خودروسازی ایران بررسی شود. جامعه آماری شامل کلیه شرکتهای خودروسازی اصلی در شهر تهران می باشد. که بر اساس جدول مورگان 384 شرکت به دست آمد برای اندازهگیری متغیرها از پرسشنامه استاندارد استفاده شد که به روش نمونهگیری دردسترس میان مدیران ارشد شرکتهای منتخب توزیع و جمعآوری گردید. آزمون مدل پژوهش بر اساس روش معادلات ساختاری و با استفاده از نرمافزار لیزرل صورت گرفت. نتایج نشان داد که استراتژی زنجیره تأمین ناب بر پاسخگویی زنجیره تأمین تأثیر مثبت ندارد. زنجیره تأمین چابک بر پاسخگویی زنجیره تأمین تأثیر مثبت معنادار دارد. پاسخگویی زنجیره تأمین بر عملکرد شرکت تأثیر مثبت معنادار میگذارد. استراتژی بهتعویقاندختن در ارتباط بین استراتژی زنجیره تأمین چابک و پاسخگویی زنجیره تأمین از نقش میانجی برخوردار بود. درنهایت تأثیر مثبت معنادار استراتژی زنجیره تأمین ناب بر پاسخگویی زنجیره تأمین با نقش میانجی مشارکت استراتژیک تأیید شد.
https://jimp.sbu.ac.ir/article_87591_a5a3f8d558de94e5ba897b52b551f000.pdf
2020-12-21
65
89
10.52547/jimp.10.4.65
استراتژی زنجیره تأمین ناب
استراتژی زنجیره تأمین چابک
پاسخگویی زنجیره تأمین
عملکرد شرکت
صنعت خودروسازی
باقر
عسگرنژاد نوری
asgarnezhad.research@gmail.com
1
دانشیار، دانشگاه محقق اردبیلی.
LEAD_AUTHOR
سمیه
صائب نیا
s.saebniya@gmail.com
2
کارشناسی ارشد، مؤسسه آموزش عالی غیرانتفاعی و غیردولتی نوین، اردبیل.
AUTHOR
الهام
فولادی
elhamfouladi70@gmail.com
3
کارشناسی ارشد، مؤسسه آموزش عالی غیرانتفاعی و غیردولتی نوین، اردبیل.
AUTHOR
Agrawal, A. Shankar, R. & Tiwari, M.K. (2006), Modeling the metrics of lean, agile and leagile supply chain: An ANP-based approach. European Journal of Operational Research, 173(1), 211-225.
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29
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30
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31
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46
ORIGINAL_ARTICLE
مدلسازی و رتبهبندی عوامل مؤثر بر آموزش عالی ناب
با توجه به اهمیت موضوع اجرا و استقرار آموزش عالی ناب در دانشگاه، هدف پژوهش حاضر مدلسازی و رتبهبندی عوامل مؤثر بر آموزش عالی ناب از نظر اعضای هیئتعلمی «دانشگاه تهران» است. پژوهش حاضر از نظر هدف، کاربردی و از منظر گردآوری دادهها توصیفی ـ پیمایشی به شیوه همبستگی است. جامعه آماری پژوهش کلیه اعضای هیئتعلمی «پردیس علوم انسانی دانشگاه تهران» را دربرمیگیرد که از میان آنها تعداد 147 نفر به شیوه نمونهگیری تصادفی ساده انتخاب شدند. بهمنظور گردآوری دادهها از پرسشنامه پژوهشگرساخته استفاده و روایی پرسشنامهها با استفاده از روایی محتوایی و سازه و پایایی آن با استفاده از ضریب آلفای کرونباخ بررسی و تأیید شد. دادهها با استفاده از آزمونهای ضریب رگرسیون، تحلیل عاملی تأییدی، محاسبه مقادیر t، مدل معادلات ساختاری و تحلیل مسیر در نرمافزار Lisrel موردبررسی و تحلیل قرار گرفت. اعتبارسنجی مدل و نتایج تحلیل عاملی نشان داد که ابزار سنجش عوامل مؤثر بر آموزش عالی ناب دارای برازش مطلوبی است و مدل موردتأیید قرار گرفت. نتایج معادلات ساختاری و تحلیل مسیر حاکی از آن است که روابط معناداری بین متغیرها و سازههای مکنون وجود دارد و تعهد مدیریت و رهبری، چشمانداز و راهبرد دانشگاه با میانجیگری انتخاب افراد مناسب بر رضایت دانشجویان و کارایی آموزش اثرگذار است.
https://jimp.sbu.ac.ir/article_87597_f2b4a5e5f25945f892aa383a2b6f880f.pdf
2020-12-21
91
116
10.52547/jimp.10.4.91
آموزش عالی ناب
اعضای هیئتعلمی
دانشگاه تهران
دانشگاه ناب
مدلسازی
زینب السادات
مصطفوی
mostafavi60@yahoo.com
1
دانشجوی دکتری، دانشگاه تهران.
AUTHOR
فاطمه
نارنجی ثانی
fatemeh.narenji@gmail.com
2
استادیار، دانشگاه تهران.
LEAD_AUTHOR
Abili, K., Narenji Thani, F., Mostafavi, Z. (2018). Assessing the Readiness of the University to Establish the Lean Higher Education (Case Study: University of Tehran). Journal of Industrial Management Perspective, 8(3), 95-114. In Persian)
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46
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51
ORIGINAL_ARTICLE
شناسایی و ارزیابی شاخصهای کارآفرینی و نوآوری شرکتهای بینالمللی هوشمند با استفاده از DEMATEL-ANP
با توجه به حیاتی بودن کارآفرینی و وابستگی آن به نوآوری، این پژوهش به دنبال ارائه یک روش تلفیقی برای تخمین اولویتبندی شاخصهای کارآفرینی و نوآوری با بهرهگیری از روشهای تصمیمگیری چندمعیاره (MCDM) شامل ابعاد فردی، سازمانی و فرهنگی است. سپس در چارچوب روش فراترکیب، تلفیقی از یافتهها در قالب دستهبندی شاخصها معرفی شد. بر مبنای روش فراتحلیل نظر خبرگان حوزه کارآفرینی و نوآوری گردآوری شد؛ همچنین به دو روش فرآیند تحلیل شبکهای (ANP) و آزمایشگاه ارزیابی و امتحان تصمیمگیری (DEMATEL) فرایند ارزیابی، شناسایی وزنها و اولویتبندی شاخصها صورت پذیرفت. این پژوهش بهوضوح نشان داد که تواناییهای فردی زمینهساز خلق نوآوری و کارآفرینی در سازمان هستند و قابلیتهای سازمان باید فضا و امکانات متناسب را در اختیار فرد قرار دهد تا به این دو مهم فعلیت بخشد. مهمترین معیارها بهترتیب انگیزه شغلی با وزن 3578/0 و آموزش و یادگیری در قالب سطح مهارت فردی با وزن 1240/0 شناخته شدند. مهمترین گزینه که میتواند بهعنوان هدف و الگو قرار گیرد، شرکت اول از سه شرکت تابعه شرکت بینالمللی کیسون است که از منظر اولویت بهترین جایگاه را با وزن بالای 4498/0 به خود اختصاص داده است. شرکتهای بعدی بهترتیب با وزنهای 2579/0 و 2132/0 در جایگاههای دوم و سوم قرار گرفتند.
https://jimp.sbu.ac.ir/article_87593_1bc06532ad03c674938faffbd521dbdd.pdf
2020-12-21
117
154
10.52547/jimp.10.4.117
کارآفرینی
نوآوری
تصمیمگیری چندمعیاره
ANP
DEMATEL
مهدی
کریمی
mmkarimi1383@gmail.com
1
دانشجوی دکتری، گروه مدیریت صنعتی، واحد کرمانشاه، دانشگاه آزاد اسلامی، کرمانشاه، ایران.
AUTHOR
فرشید
نمامیان
farshidnamamian@iauksh.ac.ir
2
استادیار، گروه مدیریت بازرگانی، واحد کرمانشاه، دانشگاه آزاد اسلامی، کرمانشاه، ایران.
LEAD_AUTHOR
فرهاد
وفایی
vafa408@yahoo.com
3
استادیار، گروه مدیریت بازرگانی، دانشکده علوم انسانی و اجتماعی، دانشگاه کردستان، سنندج، ایران.
AUTHOR
علیرضا
مرادی
alirezamoradi_econ@iauksh.ac.ir
4
استادیار، گروه اقتصاد، واحد کرمانشاه، دانشگاه آزاد اسلامی، کرمانشاه، ایران.
AUTHOR
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ORIGINAL_ARTICLE
ارائه یک مدل بهینهسازی استوار برای طراحی استراتژیک و عملیاتی زنجیره تأمین نفت
صنعت نفت در ساختار انرژی و اقتصاد جهانی سهم بسزایی دارد و برنامهریزی سطوح استراتژیک و عملیاتی زنجیره تأمین آن با هدف ارتقای موقعیت رقابتی کشورها در سطح جهانی و توسعه اقتصادی صورت میگیرد. در این پژوهش یک مدل ریاضی برای طراحی زنجیره تأمین نفت خام با در نظر گرفتن مسائل مربوط به مکانیابی تسهیلات، تخصیص تقاضا، برنامهریزی حملونقل و توزیع ارائه میشود. در مدل پیشنهادی، الزامات زیستمحیطی مربوط به انتشار گازهای گلخانهای در نظر گرفته خواهد شد و بهموجب آن میزان انتشار گازهای گلخانهای ناشی از حملونقل نفت نمیتواند از یک مقدار مشخص فراتر رود. نظر به اینکه در دنیای واقعی به ندرت میتوان مقدار دقیق پارامترها را مشخص کرد، عدمقطعیت پارامترهای بودجه، ظرفیت حملونقل، ظرفیت واحدهای بهرهبرداری، میزان صادرات، مقدار استخراج و تولید نفت خام، تقاضای محصولات پالایشگاهی و میزان تولید آنها در مدل پیشنهادی لحاظ میشود. برای برخورد با عدمقطعیت موجود در پارامترهای مدل از رویکرد بهینهسازی استوار استفاده میشود. نتایج عددی کارایی مدل پیشنهادی را تأیید میکنند و نشان میدهند با افزایش سطح عدمقطعیت سودآوری کاهش مییابد؛ اما میتوان با مهار عدمقطعیت پارامترها و مدیریت مناسب تولید و توزیع سودآوری زنجیره تأمین نفت را تضمین کرد.
https://jimp.sbu.ac.ir/article_87605_bd8fe1da6994e8f21ee174989052f25d.pdf
2020-12-21
155
191
10.52547/jimp.10.4.155
زنجیره تامین نفت
عوامل زیستمحیطی
عدم قطعیت
بهینهسازی استوار
ناعمه
زرین پور,
zarrinpoor@sutech.ac.ir
1
استادیار، دانشگاه صنعتی شیراز.
LEAD_AUTHOR
امیدواری
زهرا
omidvarizahra@gmail.com
2
دانشجوی کارشناسی ارشد، دانشگاه صنعتی شیراز.
AUTHOR
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ORIGINAL_ARTICLE
بهینهسازی استوار انتخاب تأمینکننده و تعیین اندازه انباشته چندمحصولی، تحت تقاضای تصادفی و چندکلاسه
در این پژوهش، مسئله انتخاب تأمینکننده و تخصیص سفارش چندمحصولی و چنددورهای موردتوجه قرار گرفته است. تقاضای کالاها غیرقطعی و دارای کلاسهای مختلف است. به دلیل تشابه برخی کالاها، امکان جایگزینی بخشی از تقاضای آنها با یکدیگر وجود دارد. در صورت کمبود موجودی یک کالا و عدمتأمین آن از طریق موجودی کالاهای جایگزین، بخشی از کمبود بهصورت فروش ازدسترفته و بخشی بهصورت پسافت درمیآید. تأمینکنندگان میتوانند سیاست تخفیف برای تمامی واحدها داشته باشند. برای مواجهه با عدمقطعیت تقاضا، حالتهای ممکن تقاضا بهصورت سناریوهای احتمالی تعریف شدهاند و از رویکرد بهینهسازی استوار ارائهشده توسط مالوی و همکاران (1995)، استفاده شده است. تابع هدف مسئله، حداقلسازی مجموع هزینههای خرید، حملونقل، نگهداری، جایگزینی، فروش ازدسترفته و پسافت است. برای اعمال سیاستهای مدیریت در زمینه انتخاب تأمینکنندگان، حدود بالا و پایین برای تعداد تأمینکنندگان هر گروه کالا بهصورت محدودیت تعریف شده است. پویابودن تقاضا در یک افق چنددورهای، ترکیب فروش ازدسترفته و پسافت و چندکلاسهبودن تقاضا، مسئلهای ایجاد میکند که تاکنون مدلی برای آن ارائه نشده است. زنجیرههای تأمین بسیاری وجود دارد که محصولاتی را به بازار عرضه کردهاند و باید قطعات یدکی مورد نیاز آنها را تأمین کنند. نتایج این پژوهش به تصمیمگیری بهینه درباره سفارشدهی قطعات در این شرکتها کمک میکند.
https://jimp.sbu.ac.ir/article_87594_0f02791b4599c4b9df427b49a49f2aff.pdf
2020-12-21
193
225
10.52547/jimp.10.4.193
تعیین اندازه انباشته
انتخاب تأمینکننده
تقاضای غیرقطعی
کلاس تقاضا
بهینهسازی استوار
قاسم
مختاری
g.mokhtari@qom.ac.ir
1
استادیار، دانشگاه قم.
LEAD_AUTHOR
فاطمه
بختیاری
b_fatemeh_21@yahoo.com
2
کارشناسی ارشد، دانشگاه قم.
AUTHOR
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