ORIGINAL_ARTICLE
طبقه بندی پروژه ها در مدیریت سبد پروژه با استفاده از روش تصمیم گیری چند معیاره MHDIS
سازمان های سرمایه گذار در میان پروژه های کاندیدای ورود به سبد سرمایه گذاری مبنای استانداردی برای شناسایی پروژههایی که سهم بیشتری از سرمایه گذاری و سود را به خود اختصاص می دهند، ندارند و پروژه ها براساس برآوردهای شخصی ارزیابی و انتخاب میشوند؛ بدیهی است با افزایش تعداد و تنوع پروژهها، خطا در اینگونه برآوردها افزایش مییابد. مسئله اصلی پژوهش حاضر، طبقه بندی پروژههای کاندید ورود به سبد سرمایه گذاری «شرکت غدیر»، توسط معیارهای مشخص به سه گروه ازپیشتعیینشده بسیار مهم، متوسط و کم اهمیت است. روش پژوهش از نظر هدف، کاربردی و از نظر گردآوری داده ها، تحلیل ـ ریاضی میباشد. از آنجا که برای تصمیم گیری در خصوص طبقه بندی به قضاوت مطلق تصمیمگیرندگان نیاز بوده و تعداد طبقات مورد بررسی بیشتر از دو طبقه است در میان مدل های طبقهبندی از مدل سازی MHDIS که نخست، مبتنی بر توابع مطلوبیت تصمیم گیرندگان بوده و دوم، مختص طبقه بندی چند گروهی و سلسله مراتبی است، استفاده شده. در مرحله دوم پس از مدلسازی با یک نمونه 29 تایی مدل آزمون شده و برای بررسی و مقایسه کارایی مدل، خطای مدل با نتایج بهدستآمده از مدل مشابه UTADIS مقایسه شده است. نتایج نمایانگر میزان خطای پایینتر این مدل در مقایسه با مدل UTADIS میباشد.
https://jimp.sbu.ac.ir/article_87185_0399ce47fca5eee6d5d12958137eeaad.pdf
2018-02-20
9
40
مدل ریاضی
تصمیم گیری چند معیاره
مدیریت سبد پروژه ها
طبقه بندی
روش طبقه بندی سلسله مراتبی گروهی
فاطمه
ممی زاده
f.mamizadeh@ut.ac.ir
1
کارشناسی ارشد، دانشگاه تهران.
AUTHOR
محمدرضا
صادقی مقدم
rezasadeghi@ut.ac.ir
2
دانشیار، دانشگاه تهران.
AUTHOR
محمدرضا
مهرگان
mehregan@ut.ac.ir
3
استاد، دانشگاه تهران.
LEAD_AUTHOR
1. Abasi, M., Ashrafi, M., Kheirkhah, A., Niad, H., & Ghorbanzadeh karimi, H. (2013). Select a portfolio of research and development projects using a combination of data envelopment analysis. National Research Institute for Science Plicy, 3, 67-84.
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3
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5. Bouri, A., Martel, J. M, and Chabchoub, H. (2002). AMulti-criterion Approach for selecting Atractive Portfolio. Journal of Multi criteria Decision Analysis, 269-277.
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7
8. Cooper, R. G., Edgett, S., & Kleinschmidt, E. (2000). Portfolio management for new product development: results of an industry practices study. R&D Management, 31(4), 361-80.
8
9. Cosmidous, K., Doumpos, M., & Zoupondis, C. (2008). Country Risk Evaluatin: Methods and Applications, springer Optimization and Its Application.
9
10. Dahimavy, A., Ghanian, M., Ghoochani, M., & Zareyi, H. (2015). Prossesof application of multi criteria decision making models in prioritizing of water development projects of rural areas in the Khuzestan province. Journal of Water and Sustainable Development, 3, 9-16.
10
11. Doumpos, M. & Zoupondis, C. (2002). MulticriteriaDecisionAidClassificationMethods, Kluwer Academic Publishers.
11
12. Doumpos, M., Pentaraki, K., Baourakis, G., & Zopounidis, C. (2002). Creditriskassessment using multicriteria hierarchical discrimination approach: A comparative analysis. European Journal of Operational Research, 138, 392-412.
12
13. Elonen, S., & Artto, K. A. (2003). Problems in managing internal development projects in multi-project environments, International Journal of Project Management, 21: 395-402.
13
14. Farsijani, H., Fattahi, M., & Noroozi, M. H. (2012). Project Portfolio Selection with Considering Interaction between Projects using Particle Swarm Optimization (PSO). Journal of Industrial Management Perspective, 2(5): 27-48.
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17
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19. Linton, J. D., Walsh, S. T., Kirchhoff, B. A., Morabito, J. M. & Merges, J.M. (2000). Selection of R&D projects in aporfolio, Proceeding of the 2000 IEEE: 506-511.
19
20. Mamizadeh, F. (2015). Classification of projects in project portfolio management using MHDIS multi-criteria decision-making method, Master's Thesis, University of Tehran.
20
21. Mehregan, M. (2012). Advanced operational research, University of Tehran Publishers.
21
22. Mehregan, M. (2007). Multi objective decisionmaking, University of Tehran Publishers.
22
23. Moor, S. (2010). Strategic Portfolio Management: Enablinga Productive Organization, Wiley, Hoboken, NJ.
23
24. Pendaraki, K., Zopounidis, C., & Doumpos, M. (2010). On the construction of mutual fund portfolios: A multicriteria methodology and an application to the Greek market of equity mutual funds. European Journal of Operational Research, 163(2): 462-481.
24
25. Rabieh, M., & Fadaei, A. (2015). Fuzzy Robust Mathematical Model for Project Portfolio Selection and its Solving through Multi Objective Differential Evolutionary Algorithm. Journal of industrial management perspective, 19, 65-90.
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26. Rad, P. F., & Levin, G. (2006). Project Portfolio Management: Tools and Techniques (1st Ed.). N.Y: Judith W. Umlas: 47-49.
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40. Zopounidis, C., & Doumpos, M. (2007). Building additive utilities for multi-group hierarchical discrimination: the M.H.Dis method. Optimization Methods and Software, 1055-6788 (Print): 1029-4937.
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41. Zopounidis, C., & Doumpos, M. (1998). A Multicriteria Discrimination Method for the Prediction of Financial Distress: The Case of Greece. Multinational Finance Journal, 3(2), 71-101.
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42. Zopounidis, C., Doumpos, M., (2002a). Multicriteria classification and sorting methods: A literature review, European Journal of Operational Research, 138: 229-246.
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43. Zopounidis, C., & Doumpos, M. (1999). A Multicriteria Discrimination Method for the Prediction of Financial Distress: The Case of Greece, Multinational Finance Journal, 3(2): 71–101.
42
44. Zopounidis, C. & Doumpos. (2002b). Multicriteria Decision Aid in Financial DecisionMaking: Methodologies and Literature Review, Journal of Multi-Croteria Decision Analysis: 167-186.
43
ORIGINAL_ARTICLE
تحلیل تأثیر عوامل مرتبط با سلول و عامل سرعت تقاضای مشتری بر عملکرد سلول ناب اولیه
سلول هایی که در نخستین گام تحول ناب از طریق تغییر آرایش سیستم تولید، ایجاد می شوند، سلولهای اولیه نام دارند و عملکرد آنها از این نظر که جزو نخستین اقدامات نابسازی عملیات تولید هستند، حائز اهمیت است. در این پژوهش عوامل مرتبط با انسان که نقش اساسی در تشریح عملکرد این سلول ها دارند در قالب عامل فاصله تخصیص پویا و به همراه دیگر عوامل مرتبط با سلول شامل اندازه سلول و نوع وظایف سلول مطالعه شده اند. زمان تکت بهعنوان عامل مرتبط با مشتری مؤثر بر عملکرد سلول در نظر گرفته شده است. ابتدا مدل پژوهش بر مبنای تخصیص پویا و با لحاظ کردن اثرپذیری عملکرد اپراتور از نحوه تخصیص فرد طی افق برنامه ریزی در قالب ترکیب سه مدل متعادلسازی، تعیین توالی و تخصیص توسعه داده شد؛ سپس آزمایشها بر اساس رویکرد طراحی آزمایشهای تاگوچی اجرا شد و داده ها در قالب جوابهای نزدیک به بهینه برای اهداف عملکردی سلول با استفاده از الگوریتم جستوجوی همسایگی متغیر به دست آمد. در گام بعد با انجام تحلیل واریانس یک و چند متغیره، اثر عوامل آزمون شد. نتایج پژوهش حاکی از پیچیدگی تأثیرپذیری عملکرد سلول از عوامل بوده و تعداد تخصیص پویای پیشنهادی به ازای ترکیبات مختلف دیگر عوامل به دست آمده است.
https://jimp.sbu.ac.ir/article_87186_fe1386f3c084f5cb8f2ef8193253dbe7.pdf
2018-02-20
41
76
عملکرد سلول اولیه ناب
اندازه سلول
نوع سلول
زمان تکت
فاصله تخصیص پویا
تحلیل واریانس
اشکان
عیوق
a.ayough@gmail.com
1
استادیار، دانشگاه شهید بهشتی.
LEAD_AUTHOR
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20. Ozcan, U., Kellego, z, T., & Toklu, B., (2011). A genetic algorithm for the stochastic mixed-model u-line balancing and sequencing problem. International Journal of Production Research, 49(6), 1605-1626.
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25. Shingo, S. (1997). A Study of the Toyota Production System from an Industrial Engineering Viewpoint. Shingo, S.
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26. Taguchi, G., Wu, Y., & Chowdhury, S. (2004). Taguchi’s quality engineering handbook. Wiley, Hoboken
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27. Wei Sun, Qianqian Li, Chunhui Huo, Yang Yu, & Ke Ma (2016). Formulations, Features of Solution Space, and Algorithms for Line-Pure Seru System Conversion. Mathematical Problems in Engineering, Article ID 9748378, 14 pages. doi:10.1155/2016/9748378
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29. Yang Yu, Wei Sun,Jiafu Tang,Ikou Kaku & Junwei Wang (2017). Line-seru conversion towards reducing worker(s) without increasing makespan: models, exact and meta-heuristic solutions. International Journal of Production Research, 55: 2990-3007.
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ORIGINAL_ARTICLE
ارائه مدل کنترل موجودی برای اقلام منسوخشدنی با لحاظکردن تأخیر در پرداخت و تورم
در سیستم کنترل موجودی کلاسیک، درآمد فروش محصول در لحظه تحویل کالا فوراً دریافت میشود و کالاها می توانند عمر نامحدود داشته باشند؛ اما در دنیای واقعی کالاهایی وجود دارند که به مرور زمان بر اثر به وجودآمدن فناوری جدید ارزش خود را از دست می دهند که به عنوان کالاهای منسوخ شدنی شناخته می شوند. همچنین برای ترغیب خریدار، فروشنده می تواند به خریدار این اجازه را بدهد تا هزینه خرید را با تأخیر پرداخت کند. در این پژوهش یک مسئله کنترل موجودی منسوخ شدنی با سیاست پرداخت معوقه در شرایط تورمی با هدف دستیابی به حداقل هزینه بررسی خواهد شد. نتایج عددی نیز در یک مطالعه موردی واقعی صنعت خرده فروشی تلفن همراه ارائه شده است. نتایج نشان می دهد با کاهش دوره منسوخ شدن با توجه به اینکه ریسک منسوخ شدن کالا افزایش می یابد، مقدار سفارش بهینه کاهش می یابد نتایج حاکی از آن است که استفاده ترکیبی از سیاست های مدیریت موجودی با درنظرگرفتن تأخیر در پرداخت باعث کاهش هزینه های موجودی می شود.
https://jimp.sbu.ac.ir/article_87187_21ae287a2900b32bd6e6ddcd830f4f30.pdf
2018-02-20
77
105
کنترل موجودی
تأخیر در پرداخت
منسوخشدن
تورم
حسن
زمانی باجگانی
hasanzamani67@yahoo.com
1
دانشجوی دکتری، دانشگاه علم و صنعت.
AUTHOR
محمدرضا
غلامیان
gholamian@iust.ac.ir
2
استادیار، دانشگاه علم و صنعت.
LEAD_AUTHOR
1. Arcelus, F. J., Pakkala, T. P. M. & Srinivasan, G. (2002). A myopic policy for the gradual obsolescence problem with price-dependent demand. Computers & Operations research, 29, 1115-1127.
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2. Chang, H.J. & Dye, C.Y. (2001). An Inventory Model for Deteriorating Items with Partial Backlogging and Permissible Delay in Payments. Journal of Systems Science, 32, 345-352.
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6. Jamal, A., Sarker, B., & Wang, S. (1997). An Ordering Policy for Deteriorating Items with Allowable Shortage and Permissible Delay in Payment. Journal of Operational Research Society, 48, 826-833.
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11. Kumar, N., Singh, S.R. & Tomar, J. (2013). Two-warehouse Inventory Model with Multivariate Demand and K-release Rule. Procedia Technology, 10, 788-796.
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12. Motallebi, S., & Zandieh, M. (2017). Determination of Inventory Management Policies in Process Manufacturing Using Discrete Event Simulation, Journal of Industrial Management Perspective, 26, 83-108, (In Persian).
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13. Moussawi-Haidar, L., Dbouk, W., Jaber, M. Y. & Osman, I. H. (2014). Coordinating a three-level supply chain with delay in payments and a discounted interest rate. Computers & Industrial Engineering, 69, 29-42.
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14. Muniappan, P., Uthayakumar, R. & Ganesh, S. (2015). An EOQ model for deteriorating items with inflation and time value of money considering time dependent deteriorating rate and delay payments. Systems Science & Control Engineering, 3(1), 427-434.
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15. Ouyang, L.Y., Wu, K. S., & Yang, C. T. (2006). A Study on an Inventory Model for Non-Instantaneous Deteriorating Items with Permissible Delay in Payments. Computers & Industrial Engineering, 51, 637-651.
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16. Palanivel, M., & Uthayakumar, R. (2015). Two-warehouse inventory model for non-instantaneous deteriorating items with optimal credit period and partial backlogging under inflation. Journal of Control and Decision, 3(2), 132-150.
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17. Pareek, S., & Dhaka, V. (2015). Fuzzy EOQ models for deterioration items under discounted cash flow approach when supplier credits are linked to order quantity. International Journal of Logistics Systems and Management, 20(1), 24-41.
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18. Persona, A., Grassi, A. & Catena, M. (2005). Consignment stock of inventories in the presence of obsolescence. International Journal of Production Research, 43, 4969-4988.
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19. Pourmohammad Zia, N. & Taleizadeh, A. A. (2016). A lot-sizing model with backordering under hybrid linked-to-order multiple advance payments and delayed payment. Transportation Research Part E, 82, 19-37.
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20. Rabieh M., Azar A., Modarres Yazdi M., & Fetanat Fard Haghighi M. (2011). Designing a multi-objective robust multi-sourcing mathematical model, an approach for reducing the risk of supply chain (Case study: Supply Chain of IranKhodro Company). Journal of Industrial Management Perspective, 1, 57-77 (In Persian).
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ORIGINAL_ARTICLE
بررسی کارایی و پیشبینیپذیری کالاهای صنعتی با رویکردهای بنیادین و تکنیکال
هدف این پژوهش، بررسی پیشبینیپذیری قیمت سرب و کارایی این بازار در سطح ضعیف و معرفی یک الگوی مناسب برای پیشبینی قیمت سرب در بازار جهانی است. بهاینمنظور مجموعه ای از روشهای خطی و غیرخطی در دو رویکرد کلی تکنیکال و بنیادین استفاده شده است. بررسی کارایی بازار سرب در سطح ضعیف نشان میدهد که این بازار در این سطح نیز کارا نیست و امکان پیشبینی قیمت وجود دارد. دادههای استفادهشده در این پژوهش بهصورت هفتگی جمعآوری شده و شامل بازه زمانی هفته اول 2005 الی هفته آخر 2015 است. این دادهها از سایتهای مختلف، ازجمله سایت LME، USGS و ILZSG جمعآوری شده است. یافتههای این پژوهش نشان میدهد که در رویکرد تکنیکال، مدل شبکه عصبی مصنوعی GMDH ترکیبشده با الگوریتم ژنتیک بر اساس معیارهایِ میانگین درصد خطای مطلق (MAPE) و جذر میانگین مجذور خطا (RMSE) دارای عملکرد بهتری نسبت به مدلهای دیگر است؛ همچنین در رویکرد بنیادین بر اساس معیارهای خطای پیشبینی، شبکه عصبی مصنوعی GMDH بهترین عملکرد را داشته است. پیشبینیپذیری تغییرات قیمت سرب در بازار با الگوهای تکنیکال، نشاندهنده کارایی بازار در سطح ضعیف است.
https://jimp.sbu.ac.ir/article_87188_21be3b05048cd3ed10e0153c118165e8.pdf
2018-02-20
107
135
کارایی بازار
روش سازماندهی گروهی دادهها (GMDH)
شبکه عصبی پرسپترون چندلایه (MLP)
الگوریتم ژنتیک
تحلیل بنیادین
تحلیل تکنیکال
سمیه
رافعی
srafei.ui@gmail.com
1
کارشناس ارشد، دانشگاه اصفهان.
AUTHOR
مجید
اسماعیلیان
m.esmaelian@gmail.com
2
استادیار، دانشگاه اصفهان.
LEAD_AUTHOR
محمود
بت شکن
mbotshekan@gmail.com
3
استادیار، دانشگاه اصفهان.
AUTHOR
1. Abbaspour, M. (2002). Iran Khodro Stock Price Prediction using Neural Network, Tehran University of Technology, Faculty of Engineering, Shahid Beheshti University (in Persian).
1
2. Andonie, R. (2010). Extreme Data Mining: Inference from small Datasets. International Journal of Computers Communication & Control, 5, 280-291.
2
3. Atsalakis, G. S. (2016). Using computational intelligence to forecast carbon prices. Applied Soft Computing, 43, 107-116.
3
4. Azadeh A., Moghaddam, M., Khakzad, M., & Ebrahimipour, V. (2012). A flexible neural network-fuzzy mathematical programming algorithm for improvement of oil price estimation and forecasting. Computers & Industrial Engineering, 62(2), 421-430.
4
5. Demuth, H. B., Beale, M. H., De Jess, O., & Hagan, M. T. (2014). Neural network design. Martin Hagan.
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6. Eberhart, R. C., & Kennedy, J. (1995). A new optimizer using particle swarm theory. In Proceedings of the sixth international symposium on micro machine and human science, 1, 39-43.
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7
8. Fama, E. F. (1970). Efficient Capital Market: A Review of Theory and Empirical Work. The Journal of Finance, 25(2), 383-417.
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18
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19
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23
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26. Sadeghi, H., Sohrabi Vafa, H. & Noori, F. (2013). Applications of Neural Network Based on Genetic Algorithm for Long Term Energy Demand Forecasting. Journal of Applied Theories of Economics, 1(2), 29-52 (In Persian).
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29
ORIGINAL_ARTICLE
توسعه یک روش آماری برای نمودار کنترل اندازهگیریهای انفرادی
وقتی توزیع آماری محصولات تحت مطالعه، نرمال یا متقارن نباشد، موقع استفاده از نمودار کنترل X نمیتوان انتظار داشت که تغییرپذیری فرایند بهموقع کشف شود. در پژوهش حاضر برای بهبود عملکرد نمودار از توزیع لامبدای تعمیمیافته (GLD) استفاده شده است. برای نشاندادن نحوه کار آن از دادههای مربوط به مقاومت کششی 18 صفحه آلومینیومی استفاده شده و حدود بالا و پایین نمودار کنترل X محاسبه گردیده است. برای اطمینان از جوابهای بهدستآمده از آزمون مربع کای استفاده شده است؛ و برای اعتبارسنجی معیار متوسط طول اجرا (ARL) بهکار رفته است. به دلیل انعطاف این توزیع، استفاده از روش پیشنهادی میتواند این اطمینان را فراهم آورد که بتوان تغییرپذیری فرایند را زودتر کشف نمود.
https://jimp.sbu.ac.ir/article_87189_5339effde39914b97b8130ff2d693463.pdf
2018-02-20
137
161
نمودار کنترل X
توزیع لامبدای تعمیمیافته
روش تطبیق با صدک (PM)
محمدمهدی
موحدی
mmmovahedi@gmail.com
1
استادیار، دانشگاه آزاد اسلامی واحد فیروزکوه.
AUTHOR
عباس
راد
a-raad@sbu.ac.ir
2
استادیار، دانشگاه شهید بهشتی.
LEAD_AUTHOR
مجید
نیلی احمدآبادی
nili2536@gmail.com
3
استادیار، دانشگاه قم.
AUTHOR
بهزاد
قاسمی
behzad.ghasemi2020@gmail.com
4
دکتری، دانشگاه آزاد اسلامی، واحد همدان.
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ORIGINAL_ARTICLE
طراحی مدل پویای کارت امتیازی متوازن برای ارزیابی عملکرد شعب بانک
در محیط متلاطم امروزی، سازمان ها برای حفظ بقای خود نیاز بسیاری بهنظام ارزیابی عملکرد دارند. برای ارزیابی عملکرد در سازمان ها ابزارها و مدل های مختلفی در مبانی نظری مربوطه ارائه شدهاند که هر یک مزایا و معایبی دارند. در میان آنها محبوبیت کارت امتیازی متوازن برای ارزیابی عملکرد، به دلیل درنظرگرفتن شاخص های مالی و غیرمالی، رو به افزایش است؛ اما این رویکرد دارای محدودیتهایی است. برای مثال، این رویکرد تعاملات را بهصورت یک طرفه در نظر می گیرد، تأخیر زمانی بین علت و معلول را در نظر نمی گیرد و ابزاری برای اعتبارسنجی شاخص ها و انتخاب آنها ندارد. در این پژوهش سعی شده است تا با بهرهگیری از روش پویاییشناسی سیستم در کارت امتیازی متوازن در یک مطالعه موردی که یک شعبه بانک است، بر محدودیت های نظام ارزیابی عملکرد کارت امتیازی متوازن غلبه شود و تأثیر سیاست ها بر عملکرد شعبه مورد بررسی قرار گیرد. برای این منظور پس از بررسی شرایط واحد موردمطالعه (متغیرها و روابط بین آنها)، نظام ارزیابی عملکرد با نرم افزار ونسیم شبیهسازیشده و چهار سیاست تعریف شد. با استفاده از روش تسلط، بهترین سیاست انتخاب شد و پسازآن با توجه به نتایج، پیشنهادهایی برای بهبود شاخص های ارزیابی عملکرد در موردمطالعه ارائه شده است.
https://jimp.sbu.ac.ir/article_87190_c7d73069e4d022e99d57b50d28140381.pdf
2018-02-20
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197
ارزیابی عملکرد
کارت امتیازی متوازن
پویایی سیستم
کارت امتیازی متوازن پویا
شعبه بانک
الهام
اسدپور
easadpoor@yahoo.com
1
کارشناس ارشد، دانشگاه فردوسی مشهد.
AUTHOR
علیرضا
پویا
alirezapooya@gmail.com
2
دانشیار، دانشگاه فردوسی مشهد.
LEAD_AUTHOR
ناصر
مطهری فریمانی
n.motahari@um.ac.ir
3
استادیار، دانشگاه فردوسی مشهد.
AUTHOR
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31. Yi Wu, H. (2012). Constructing a strategy map for banking institutions with key performance indicators of the balanced scorecard. Evaluation and program planning, 35, 18.
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32. Yi Wu, H., Tzeng, G., & Chen, Y. (2009). A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard. Expert Systems with Applications, 36, 13.
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33. Zarei Mahmoodabadi, M. Nahavandi, N., & Taghavi, A. (2016). Designing Dynamic Balanced Scorecard with Balanced Scorecard with combined approach of Balanced Scorecard (BSC) and Modeling System Dynamics (SDM). International Journal of Industrial Engineering & Production Management. 27(2), 201-214 (In Persian).
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ORIGINAL_ARTICLE
سیاست پرداخت معوقه در مدل کنترل موجودی کالای فاسدشدنی با تقاضای کوادراتیک با درنظرگرفتن کمبود پسافت
در اﯾﻦ پژوهش یک مدل جامع برای برنامهریزی و ﮐﻨﺘﺮل ﻣﻮﺟﻮدی ﮐﺎﻻﻫﺎی ﻓﺴﺎدﭘﺬﯾﺮ ﺑﺎ مجازبودن بروز ﮐﻤﺒﻮد ارائه شده است. تابع تقاضا دارای ماهیت کوادراتیک (تابع درجه دوم زمان) است. در اﯾﻦ ﻣﺪل ﺳﯿﺴﺘﻢ ﻣﻮﺟﻮدی، برنامهریزی برای تأمین یک ﮐﺎﻻ با نرخ ﻓﺴﺎد ﺛﺎﺑﺖ و کمبود بهصورت پسافت کامل انجام میشود. هدف از مدل پیشنهادی، تعیین زمان چرخه مناسب سفارش بهمنظور بیشینهکردن سود کل سیستم موجودی است. ﻣﺪلﺳﺎزی ﻣﺴﺌﻠﻪ در دو قالب مدتزمان اتمام موجودی انبار، پیش و پس از زمان ابلاغی از جانب تأمینکننده به خردهفروش برای تسویهحسابها ارائه شده است. مدل پیشنهادی با استفاده از یک الگوریتم روش حل دﻗﯿﻖ توسعهیافته حل شده است. نتایج محاسباتی حاکی از کارایی مدل پیشنهادی بهمنظور برنامهریزی تأمین کالاهای فسادپذیر است.
https://jimp.sbu.ac.ir/article_87191_96f7b24d05d3c1cba32d265584f6b6c6.pdf
2018-02-20
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تقاضای کوادراتیک
کالای فاسدشدنی
کمبود پسافت
نرخ زوالپذیری
اعتبار تجاری
جواد
حسنپور
j.hasanpour@qiet.ac.ir
1
مربی، دانشگاه صنعتی قوچان.
AUTHOR
علیاکبر
حسنی
aa.hasani@shahroodut.ac.ir
2
استادیار، دانشگاه صنعتی شاهرود.
AUTHOR
محمد
قدوسی
mohammad.ghodoosi@gmail.com
3
مربی، دانشگاه تربت حیدریه.
LEAD_AUTHOR
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