ORIGINAL_ARTICLE
یک مدل مکانیابی- مسیریابی برای طراحی شبکه زنجیره تأمین شیر تحت ریسکهای اختلال و عدم قطعیت دادهها
از میان تصمیمات مربوط به زنجیرهتأمین شیر، تصمیمات مربوط به تأمین شیر خام از دامداریها و حمل آن تا محل تولید محصولات لبنی بسیار حائز اهمیت است. در این پژوهش، یک مدل ریاضی مکانیابی ـ مسیریابی از نوع امکانی ـ دومرحلهای مبتنی بر سناریو بهمنظور طراحی یکپارچه شبکه زنجیرهتأمین شیر از دامداری تا کارخانه ارائه شده است. شیر تولیدی دامداران یا توسط خود دامدار تحویل شده یا بهوسیله وسایل نقلیه جمعآوری میشود. وقوع اختلال در قالب سناریوهای محتمل در نظر گرفته شده است. در صورت وقوع اختلال، درصدی از ظرفیت مراکز جمعآوری و تعدادی از مسیرهای موجود در شبکه از دسترس خارج میشوند. بهمنظور برخورد با عدمقطعیتهای موجود در پارامترهای مسئله از یک روش برنامهریزی امکانی ترکیبی که ترکیبی از دو روش خیمنز و همکاران (2007) و برنامهریزی شانسی مبتنی بر اندازهی اعتبار میباشد، استفاده شده است؛ همچنین بهدلیل پیچیدگی بالای مدل ریاضی ارائه شده و کاهش زمان حل مدل در ابعاد بالا، از الگوریتم آزادسازی لاگرانژ بهره گرفته شده است. مدل ارائهشده به اخذ تصمیمات بهینه در فرآیند جمعآوری و تحویل شیر از دامداریها به مراکز تولید با توجه به محدودیتهای موجود کمک میکند. نتایج محاسباتی، کارایی روش حل را نشان میدهد.
https://jimp.sbu.ac.ir/article_101474_3eea8d150a7cc9493fb9ae741308514f.pdf
2021-12-22
9
35
10.52547/jimp.11.4.9
زنجیره تأمین شیر
مکانیابی ـ مسیریابی
ریسک اختلال
برنامهریزی امکانی دومرحلهای
آزادسازی لاگرانژ
سید علی
ترابی
satorabi@ut.ac.ir
1
استاد، دانشگاه تهران.
LEAD_AUTHOR
محمدرضا
کرزه بر
mr.korzebor@ut.ac.ir
2
کارشناسی ارشد، دانشگاه تهران.
AUTHOR
منصور
دودمان
mansour.doodman@ut.ac.ir
3
کارشناسی ارشد، دانشگاه تهران.
AUTHOR
Basnet, C., Foulds, L. R., & Wilson, J. M. (1999). An exact algorithm for a milk tanker scheduling and sequencing problem. Annals of Operations Research, 86, 559-568.
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ORIGINAL_ARTICLE
ارائه روشی تلفیقی برای افزایش کیفیت محصول در دوره عمر آن با استفاده از طراحی آزمایشهای تاگوچی و الگوی هزینههای کیفیت (مطالعه موردی: گروه صنعتی انتخاب)
هدف این پژوهش ارائه روش تلفیقی برای افزایش کیفیت محصول در دوره عمر آن از طریق طراحی آزمایشهای تاگوچی و الگوی هزینههای کیفیت است. به این منظور تعیین ترکیب اهمیت هزینههای کیفیت در چرخه عمر محصول با تلفیق الگوی هزینههای کیفیت PAF و طراحی آزمایشهای تاگوچی برایی نخستین بار در «گروه صنعتی انتخاب اصفهان» موردمطالعه قرار گرفته است. در این پژوهش چهار فاز چرخه عمر محصول انتخابی (معرفی، رشد، بلوغ و افول)، در چهار سطح (اهمیت هزینههای پیشگیری، ارزیابی، شکست داخلی و شکست خارجی) بهعنوان عوامل کنترل در نظر گرفته شده و متغیر پاسخ، کیفیت محصول است که هدف بهدستآوردن حداکثر آن است. نتایج این روش نشان داد که در معرفی و رشد سیاست پیشگیری، در مرحله بلوغ سیاست ارزیابی و در مرحله افول سیاست شکست داخلی بهعنوان سطوح بهینه استراتژیهای هزینه کیفیت انتخاب شدهاند. با پیگیری این سیاستها کیفیت محصول انتخابی در طول عمر آن افزایش مییابد.
https://jimp.sbu.ac.ir/article_101315_aad6e5a90c68dcceb486dd33b48f93da.pdf
2021-12-22
37
57
10.52547/jimp.11.4.37
کیفیت محصول
طراحی آزمایشهای تاگوچی
نسبت مطلوبیت به بدی کارکرد
الگوی هزینههای پیشگیری ـ ارزیابی ـ شکست
چرخه عمر محصول
آرش
شاهین
shahin@ase.ui.ac.ir
1
استاد، دانشگاه اصفهان.
AUTHOR
نسیبه
جنتیان
n.janatyan@yahoo.com
2
استادیار، دانشگاه شهید اشرفی اصفهانی.
LEAD_AUTHOR
مهیا
خداپرستان
khodaparastan.mahya@yahoo.com
3
دانشآموخته کارشناسی ارشد، دانشگاه اصفهان.
AUTHOR
Alglawe, A., Schiffauerova, A., Kuzgunkaya, O., & Shiboub, I. (2019). Supply chain network design based on cost of quality and quality level analysis. The TQM Journal, 31(3), 467-490.
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ORIGINAL_ARTICLE
یک سیستم مدیریت فروش هوشمند بر پایه اینترنت اشیا و شبکه بیزی
در جوامع امروزی، با توجه به افزایش گرایش به خرید از مجتمعهای تجاری که بتواند تمام نیازهای خریدار را در یک زمان محدود برآورده سازد، ساخت روزافزون مجتمعهای تجاری مدرن پدیدهای مشهود است. بهدلیل وسعت خدمات و تنوع موجود در مجتمعهای تجاری، نیاز به یک واحد کنترل مرکزی هوشمند که کنترل تمامی سیستمهای موجود را به عهده بگیرد، ضروری است. اینترنت اشیا یکی از فناوریهای جدید در دههی اخیر است که میتواند نقش مهمی در هوشمندسازی مجتمعهای تجاری بر عهده داشته باشد. اینکه چه حجمی از مشتری به فروشگاه آمده، خدمترسانی کارکنان و رفتار خرید مشتریان چگونه بوده است، عواملی هستند که تجزیهوتحلیل آنها میتواند درآمدزایی فروشگاهها را به میزان زیادی افزایش دهد و رضایت مشتریان را در پی داشته باشد. در این زمینه مدلهای زیادی وجود دارد که یکی از این مدلها مدل شبکه بیزی است. در این پژوهش با استفاده از این مدل بر اساس علایق و ترجیحات مشتریان و الگوهای خرید، نیاز مشتریان تشخیص داده میشود و محصول موردنظر در اختیار آنها قرار میگیرد. پس از اجرای این مدل افزایش میزان فروش بالقوه در فروشگاه و افزایش کارایی و سرعت عملکرد فروشگاه موردانتظار است.
https://jimp.sbu.ac.ir/article_101326_f0999a5d6b3a93cd7a5cdc87844ecf1e.pdf
2021-12-22
59
84
10.52547/jimp.11.4.59
سیستم فروش
هوشمندسازی
اینترنت اشیا
شبکه بیزی
تحلیل فروش
حامد
فضل الله تبار
h.fazl@du.ac.ir
1
استادیار، دانشگاه دامغان.
LEAD_AUTHOR
Charlyn Pushpa Latha, G., Pradeep Kandhasamy, J. & Sridhar, (2021). Smart shopping cart by RFID technology, Materials Today: Proceedings, In Press.
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ORIGINAL_ARTICLE
مسئله طراحی شبکه امداد: رویکرد بهینهسازی استوار توزیعی
در این پژوهش یک مدل برنامهریزی استوار دومرحلهای ریسکگریز برای طراحی شبکه امداد چندمحصولی ارائه شده است. مجموعه تصمیمات مکانیابی تسهیلات خدمتدهنده و مدیریت موجودی اقلام امدادی بهصورت یکپارچه اتخاذ شده است. ظرفیت تسهیلات خدمتدهنده، تقاضای دریافت اقلام امدادی و ظرفیت مسیرهای ارتباطی تحت تأثیر بروز اختلال همراه با عدمقطعیت خواهد بود. میانگین وزنی زیان موردانتظار در توسعه مدل برنامهریزی استوار لحاظ شده است. کارایی مدل پیشنهادی با بررسی مسائل عددی متعدد ارزیابی شده است. نتایج کلیدی مطالعه حاکی از کارایی مدل استوار توزیعی ریسکگریز نسبت به مدل تصادفی دومرحلهای مرسوم است؛ همچنین نوع مجموعه مبهم و سطوح پارامترهای سطح اطمینان، ریسکگریزی و تنظیمکننده بر عملکرد شبکه امداد تأثیرگذار خواهد بود.
https://jimp.sbu.ac.ir/article_101345_59732bde5355e38f05f4a29feeab0010.pdf
2021-12-22
85
119
10.52547/jimp.11.4.85
مدیریت بحران
طراحی شبکه امداد
عدم قطعیت
بهینهسازی استوار توزیعی
ریسکگریز
علیاکبر
حسنی
aa.hasani@shahroodut.ac.ir
1
دانشیار، دانشگاه صنعتی شاهرود.
LEAD_AUTHOR
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ORIGINAL_ARTICLE
ارزیابی سازمانها بر اساس مدل تعالی EFQM با استفاده از منطق نوتروسوفیک (مورد مطالعه: صنعت بانکداری ایران)
ازآنجاکه ارزیابی مدلهای تعالی، بهویژه مدل تعالی EFQM، با رویکرد منطق رادار مبتنی بر قضاوت ذهنی ارزیابان است و در فضای عدمقطعیت رخ میدهد، هدف پژوهش حاضر ارزیابی دقیقتر سازمانها بر اساس مدل تعالی EFQM با استفاده از منطق نوتروسوفیک در صنعت بانکداری است تا مقادیر برآوردی ارزیابی را به روشی دقیقتر انجام دهد. در این پژوهش ارزیابی سازمان بر اساس مدل تعالی EFQM با استفاده از منطق نوتروسوفیک که یک منطق سهارزشی در فضای عدمقطعیت است، صورت گرفت. ابتدا یک ابزار ارزیابی برای سنجش با منطق نوتروسوفیک طراحی شد. روایی سازه و محتوای پرسشنامه بهدلیل استفاده از چارچوب مدل تعالی EFQMدر طراحی آن و همچنین تأیید خبرگان حوزه ارزیابی، قابلقبول بوده و پایایی آن با روش دستیابی به مشابهت نظر خبرگان و اتفاقنظر آنان بر پایابودن پرسشنامه تأیید شد؛ سپس سازمانهای منتخب که شامل سه بانک دولتی، خصوصی و شبهدولتی بود با استفاده از این ابزار توسط گروه ارزیابان منتخب جایزه ملّی تعالی سازمانی ارزیابی شدند و درنهایت مقایسهای بین نتایج این ارزیابی با منطق رادار صورت گرفت. بنا بر نظر خبرگان ارزیابی جایزه ملّی تعالی EFQM و همچنین محاسبات انجامشده، ارزیابی سازمانهای موردمطالعه با رویکرد منطق نوتروسوفیک دقیقتر از ارزیابی با رویکرد منطق رادار است.
https://jimp.sbu.ac.ir/article_101388_dd4c74c1ced2863df08ed1127f5fc7d7.pdf
2021-12-22
121
136
10.52547/jimp.11.4.121
ارزیابی
صنعت بانکداری
مدل تعالی EFQM
منطق رادار
منطق نوتروسوفیک
فاطمه
امامی
fa.emami94@gmail.com
1
کارشناس ارشد، دانشگاه شاهد.
AUTHOR
رضا
عباسی
r.abbasi@shahed.ac.ir
2
استادیار، دانشگاه شاهد.
AUTHOR
امین
حبیبی راد
ahabibirad@yahoo.com
3
استادیار، دانشگاه شاهد.
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ORIGINAL_ARTICLE
برنامهریزی تصادفی دومرحلهای برای طراحی شبکه زنجیره تأمین دارویی بهنگام: مدلسازی و الگوریتم حل
دارو محصولی حیاتی است که سلامت جامعه را رقم میزند و تحویل بهموقع آن به مصرفکنندگان از اهمیت بالایی برخوردار بوده و در نتیجه نیازمند به برنامهریزی مناسبی برای تولید/توزیع آن هستیم. در این پژوهش یک مسئله زنجیرهتأمین دارویی دوسطحی چنددورهای ارائه شد که تقاضا در سطح دوم غیرقطعی است. برای مدلسازی مسئله یادشده از رویکرد برنامهریزی تصادفی دومرحلهای استفاده شد. هدف مدل ارائهشده شامل حداقلکردن هزینههای تولید، موجودی، انتقال، هزینههای زمان ارسال، زودکرد و دیرکرد است. با توجه به اینکه مدل با تابع هدف زودکرد و دیرکرد با موعد تحویل متفاوت یک مسئله NP-hard است و هرچه ابعاد مسئله افزایش یابد، روش دقیق توانایی حل مسئله را در زمان معقول ندارد؛ بنابراین برای این مسئله یک الگوریتم ژنتیک به همراه یک الگوریتم ترکیبی ژنتیک و جستوجوی همسایگی متغیر ارائه شد. در حل این مدل با استفاده از برنامهریزی تصادفی، پنج سناریو مطالعه و شاخص «ارزش موردانتظار اطلاعات کامل» محاسبه و درنهایت نتایج آن با جواب مدل برنامهریزی تصادفی دومرحلهای مقایسه شد. همچنین روش برنامهریزی تصادفی، الگوریتم ترکیبی و الگوریتم ژنتیک در نظر گرفتن سناریوهای مختلف با یکدیگر مقایسه شدند. نتایج نشان داد که از لحاظ تابع هدف الگوریتم ترکیبی کارایی بسیار خوبی در مقایسه با الگوریتم ژنتیک دارد.
https://jimp.sbu.ac.ir/article_101344_0906c70125958c872ce251968c047fc8.pdf
2021-12-22
137
165
10.52547/JIMP.11.4.137
زنجیره تأمین دارویی
برنامهریزی تصادفی
الگوریتم ترکیبی
برنامهریزی بهنگام
الگوریتم ژنتیک
مریم
حاجی بابایی
maryamhajibabaie1375@gmail.com
1
کارشناسی ارشد، دانشگاه بوعلی سینا.
AUTHOR
جواد
بهنامیان
behnamian@basu.ac.ir
2
دانشیار، دانشگاه بوعلی سینا.
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Mohammadi, M., & Soleimani, H. (2020). Investigating Open Loop and Closed-Loop Supply Chain under Uncertainty (Case Study: Iran Teransfo Company), Journal of Industrial Management Perspective, 10(38), 33-53. (In Persian)
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Mousazadeh, M., Torabi, S.A., & Zahiri, B. (2015). A robust possibilistic programming approach for pharmaceutical supply chain network design. Computers and Chemical Engineering, 82, 115-128.
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Nasrollahi, M., & Razmi, J. (2021). A mathematical model for designing an integrated pharmaceutical supply chain with maximum expected coverage under uncertainty. Operational Research, 21(1), 525-552.
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Pinedo, M. L (2016). Scheduling-Theory, Algorithms and Systems. (Mohammad Hossein Fazel Zarandi- Seyyed Abolfazl Soltani - Ali Yoosefelahi - Hamed Davari Ardekani - Hamed Soleymani). Amirkabir University of Technology Publication.
23
Privett, N., & Gonsalvaz, D. (2014). The top ten global health supply chain issues: Perspectives from the field, Operations Research for Health Care, 3(4), 226-230.
24
Priyan, S., and Uthayakumar, R. (2014). Optimal inventory management strategies for pharmaceutical company and hospital supply chain in a fuzzy-stochastic environment. Operations Research for Health Care, 3(4), 177-190.
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Rezaeenour, J., Hashempour, M., & Akbari, A.H. (2020). A Four-Echelon Supply Chain Considering Economic, Social and Regions Satisfaction Goals. Journal of Industrial Engineering Research in Production Systems, 7(15), 199-217. (In Persian).
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Savadkoohi, E., Mousazadeh, & Torabi, A. (2018). A possibilistic location-inventory model for multi-period perishable pharmaceutical supply chain network design, Chemical Engineering Research and Design, 138, 490-505.
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Zahiri, B., Jula, P., & Tavakkoli-Moghaddam, R. (2018). Design of a pharmaceutical supply chain network under uncertainty considering perishability and substitutability of products. Information Sciences, 423, 257-283.
29
Zarenezhad Ashkezari, F. (2011). Designing Agile Supply Chain Management in Pharmaceutical Industry of Iran. Degree of Master, University of Science and Culture. (In Persian).
30
ORIGINAL_ARTICLE
توسعه مدل مسیریابی وسایل نقلیه با ملاحظه معیارهای مؤثر در پشتیبانی از یگانهای نظامی
در این پژوهش، مدل ریاضی مسئله مسیریابی وسایل نقلیه برای پشتیبانی از یگانهای نظامی، ارائه و حل میشود. برای ارائه این مدل، ابتدا معیارهای مختلف از پیشینه پژوهش مسائل مسیریابی وسایل نقلیه در حوزه نظامی، جنگ و بحران بررسی خواهد شد؛ سپس معیارهایی که برای پشتیبانی از یگانهای نظامی مورد مطالعه مهم هستند، معرفی و مدل ریاضی مسئله بر پایه این معیارها ارائه میشود. از ویژگیهای برجسته پژوهش جاری نسبت به پژوهشهای مشابه، ملاحظه همزمان پنج معیار مؤثر در پشتیبانی از یگانهای این سازمان است که شامل «پنجره زمانی تحویل کالا به یگانها، قابلیت برداشت و تحویل کالا در مسیر حملونقل جادهای، ناهمگنبودن ناوگان وسایل نقلیه جادهای، ضرورت ارسال کالا از چندین قرارگاه پشتیبانی و ضرورت حمل چند نوع کالا» است. ازآنجاکه این مسئله جزو مسائل بهینهسازی در خانوادۀ مسائل NP-hard محسوب میشود، برای حل مدل از الگوریتمهای GA، PSO و SA استفاده شد. بهمنظور اعتبارسنجی نیز نتایج این الگوریتمها با نتایج حل دقیق با نرمافزار گمز مقایسه شدند که با مقایسه جوابها و زمان حل، عملکرد مناسب الگوریتم ژنتیک پیشنهادی نشان داده شد؛ همچنین با تحلیل حساسیت پارامتر هزینه حملونقل و پارامتر تقاضای یگانها میزان تأثیر آنها در جواب نهایی بررسی شد.
https://jimp.sbu.ac.ir/article_101349_af34a6e1ffa7b82314d9ad7e9f9bca38.pdf
2021-12-22
167
195
10.52547/JIMP.11.4.167
مسئله مسیریابی وسایل نقلیه
پشتیبانی یگانهای نظامی
الگوریتم ژنتیک
پنجره زمانی
برداشت و تحویل
رضا
توکلی مقدم
tavakoli@ut.ac.ir
1
استاد، دانشگاه تهران.
AUTHOR
مسعود
مصدق خواه
mmkh1342@yahoo.com
2
دانشیار، دانشگاه جامع امام حسین(ع).
AUTHOR
حسینعلی
حسن پور
hahassan@ihu.ac.ir
3
استادیار، دانشگاه جامع امام حسین(ع).
LEAD_AUTHOR
Adbelhafiz, M., Mostafa, A. & Girard, A. (2010). Vehicle routing problem instances: Application to multi-uav mission planning. AIAA Guidance, Navigation, and Control Conference.
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Du, J., Li, X., Yu., L., Dan, R. & Zhou, J. (2017). Multi-depot vehicle routing problem for hazardous materials transportation: a fuzzy bilevel programming. Information Sciences, 399, 201-218.
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Eslami-nia, A. & Azimi, P. (2020). Solving the Electric Vehicle Routing Problem Considering the Vehicle Volume Limitation using a Simulated Annealing Algorithm. Journal of Industrial Management Perspective, 36, 165-188. (In Persian)
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Farah-Bakhsh, A. & Behnamian, J. (2020). Solving the CVRP with Reduction to knapsak problem and greedy clustring heuristic method. Journal of Industrial Management Perspective, 36, 89-106. (In Persian)
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Farah-Bakhsh, F., Tavakkoli-Moghaddam, R. & Ghazavati, V.R. (2017). Developing a multi-objective mathematical model for hetro-genous vehicle routing problem under crisis situation. Transportation Engineering, 34, 169-187.
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Hassanpour, H.A., Mosadegh-khah, M. & Tavakkoli-moghaddam, R. (2008). Solving a multi-objective, multi-depot and stochastic vehicle routing problem by simmulated annealing. Journal of Industrial Engering, 43, 25-36.
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Tavakkoli-Moghaddam, R. & Kahfi, A. (2015). Solving a multi-depot vehicle routing problem under risk reduction by a multi-objective bat algorithm (MOBA). Transportation Engineering, 6(3), 507-522.
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Zhang, S., Mu, D. & Whang, C. (2020). A solution for the full-load collection vehicle routing problem with multiple trips and demands: An Application in Beijing. IEEE ACCESS, 8,
21
Zhao, T., Huang, J., Shi, J. & Chen, C. (2018). Route planning for military ground vehicles in road networks under uncertain battlefield environment. Journal of Advanced Transportation.
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ORIGINAL_ARTICLE
بهبود عملکرد و نتایج سیستم توصیهگر پالایش مشارکتی با استفاده از الگوریتم بهینهساز گرگ خاکستری فازی غنیشده با الگوریتم بهینهسازی شیر
امروزه سیستم توصیهگر، روش پالایش اطلاعات بین وبسایتها و کاربران را بهمنظور شناسایی علاقه کاربر و ایجاد محصول پیشنهادی برای کاربران فعال تغییر داده است. سیستمهای توصیهگر را بهطورکلی به سه گروه مبتنی بر محتوا، مبتنی بر دانش و مبتنی بر پالایش مشارکتی و در بعضی موارد ترکیبی تقسیم میکنند. ایده اصلی پالایش مشارکتی این است که اگر کاربران علایق مشابه یا یکسان در گذشته داشته باشند و آن را بهاشتراک بگذارند، در آینده نیز احتمالاً سلیقههای مشابه خواهند داشت. این رویکرد نیاز به هیچ دانشی در مورد آیتمها ندارد. پالایش مشارکتی نیز دارای دو نوع اصلی مبتنی بر حافظه و مبتنی بر مدل است. روش مبتنی بر حافظه از اطلاعات امتیازدهی کاربران برای محاسبه شباهت بین کاربران یا آیتمها استفاده میکند. هدف اصلی این پژوهش نیز ارائه یک سیستم پیشنهاددهنده مبتنی بر حافظه برای بهبود نتایج الگوریتم پالایش مشارکتی است. در روش پیشنهادی برای یافتن شبیهترین کاربران به کاربر هدف از ترکیب دو الگوریتم گرگ خاکستری فازی و الگوریتم شیر استفاده شده است. نتایج اجرای روش پیشنهادی نشان میدهد که پارامترهای Precision، Recall و F-measure نسبت به روشهای پایه افزایش یافتهاند.
https://jimp.sbu.ac.ir/article_101658_d6b10f563ac2fa30335d4bdda6f648e6.pdf
2021-12-22
197
222
10.52547/JIMP.11.4.197
سیستمهای توصیهگر
پالایش مشارکتی
الگوریتمهای فراابتکاری
الگوریتم بهینهسازی گرگ خاکستری
الگوریتم بهینهسازی شیر
زهرا
نخعی راد
zahrah.nakhairad@gmail.com
1
دانشجوی دکتری مدیریت فناوری اطلاعات، دانشکده مدیریت و اقتصاد، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران،ایران.
AUTHOR
حسام
زندحسامی
h.zand@srbiau.ac.ir
2
استادیار، گروه مدیریت صنعتی، دانشکده مدیریت و اقتصاد، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران،ایران.
LEAD_AUTHOR
عباس
طلوعی اشلقی
3
استاد، گروه مدیریت صنعتی، دانشکده مدیریت و اقتصاد، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران.
AUTHOR
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ORIGINAL_ARTICLE
توسعه مدل مقدار اقتصادی تولید با درنظرگرفتن خرابی احتمالی ماشین، تولید اقلام معیوب و سیاست ارسال چندگانه
مدل مقدار اقتصادی تولید (EPQ) چندین دهه قبل برای مدیریت هزینههای موجودی ارائه شد و از آن زمان تاکنون بهطور گسترده مورداستفاده قرار گرفته است. در سالهای اخیر پژوهشگران توسعههای گوناگون مدل EPQ را ارائه دادهاند. در مدل کلاسیک، فرض بر این است اقلام با کیفیت مناسب تولید میشوند؛ درحالیکه در واقعیت، تولید اقلام معیوب امری اجتنابناپذیر است. از دیگر مفروضات مدل، رفع پیوسته تقاضای سیستم است؛ درحالیکه در عمل، سیاست ارسال چندگانه مورداستفاده قرار میگیرد؛ همچنین در مدل کلاسیک هیچ فرضی در ارتباط با نگهداری و تعمیرات و خرابی ماشین لحاظ نشده است. در محیطهای تولیدی همواره از نگهداری و تعمیرات، با هدف جلوگیری از اختلال در فرآیند تأمین تقاضای مشتریان استفاده میشود. در این پژوهش یک مدل EPQ با در نظرگرفتن نگهداری و تعمیرات اصلاحی با تولید اقلام معیوب به همراه سیاست ارسال چندگانه بررسی شده است. هدف، بهدستآوردن مدتزمان بهینه تولید است که از طریق آن، هزینهی کل سیستم حداقل میشود. دو نمونه از این مدل تحلیل شده است. مورد نخست، سیستم با درنظرگرفتن تولید اقلام معیوب است. مورد دوم، به سیستمی با نرخ اقلام معیوب صفر اختصاص دارد. در این رابطه، توابع هدف موردنظر استخراج شده و برای حل مدل، روش عددی «دوبخشی» بهکار رفته است.
https://jimp.sbu.ac.ir/article_101346_c7d40fd28ceba0e7da05abd6a5474a2f.pdf
2021-12-22
223
252
10.52547/JIMP.11.4.223
برنامهریزی موجودی
مقدار اقتصادی تولید
نگهداری و تعمیرات اصلاحی احتمالی
سیاست ارسال چندگانه
اقلام معیوب
سید اکبر
طاهری
akbartaherix6@gmail.com
1
دانشجوی کارشناسی ارشد، دانشگاه تربیت مدرس.
AUTHOR
هادی
مختاری
mokhtari_ie@yahoo.com
2
دانشیار، دانشگاه کاشان.
LEAD_AUTHOR
علی
فلاحی
3
دانشجوی کارشناسی ارشد، دانشگاه صنعتی شریف.
AUTHOR
Asadkhani J, Mokhtari H, Tahmasebpoor S (2021) Optimal lot-sizing under learning effect in inspection errors with different types of imperfect quality items. Oper Res. https://doi.org/10.1007/s12351-021-00624-7
1
Cárdenas-Barrón, L. E. (2008). Optimal manufacturing batch size with rework in a single-stage production system–a simple derivation. Computers & Industrial Engineering, 55(4), 758-765.
2
Cárdenas-Barrón, L. E., Sarkar, B., & Treviño-Garza, G. (2013). An improved solution to the replenishment policy for the EMQ model with rework and multiple shipments. Applied Mathematical Modelling, 37(7), 5549-5554.
3
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35
ORIGINAL_ARTICLE
ارائه مدلی دینامیکی برای ارزیابی میزان لارجبودن عملکرد متوازن یک زنجیره تأمین
هدف این پژوهش ارزیابی میزان لارجبودن فعالیتهای یک شرکت موجود در یک زنجیره تأمین در چارچوب کارت امتیازی متوازن و با کمکگرفتن از روش مدلسازی دینامیکی است. در این پژوهش برای ارزیابی میزان لارجبودن عملکرد شرکت از روش ادغامی مفاهیم لارج و کارت امتیازی متوازن استفاده گردید؛ بدین ترتیب که ابتدا اهداف استراتژیک تدوین و در چارچوب روش کارت امتیازی متوازن، شاخصهایی انتخاب گردید که لارجبودن عملکرد شرکت را نشان دهد و سپس این شاخصها به همراه متغیرهای کمکی وارد مدل دینامیکی شده است. مدل دینامیکی طراحیشده که شامل سنجههای کارت امتیازی متوازن است برای یک شرکت فعال در صنعت قطعهسازی اجرا شده است. بر اساس اهداف استراتژیک شرکت، سناریوهایی تعریف و اثرات آن بر عملکرد شرکت و میزان لارجبودن زنجیره تأمین ارزیابی شده است. با تحلیل سناریوها مشخص شد که با تغییر هر پارامتر در مدل دینامیکی بعضی از عناصر لارج افزایش و بهطور همزمان بعضی دیگر از عناصر کاهش مییابد. برای مثال، با افزایش بهرهوری آموزش میزان ناب و تابآوری افزایش مییابد؛ اما بر محیطزیست بدون تأثیر است. با استفاده از مدل دینامیکی طراحیشده میتوان اثر هر اقدام و تصمیم مدیریتی را بر رویکردهای چهارگانه لارج تعیین کرده و میزان تحقق اهداف استراتژیک را مشخص کرد.
https://jimp.sbu.ac.ir/article_101454_b9470ed275bf2609112a6b95364d47ee.pdf
2021-12-22
253
290
10.52547/JIMP.11.4.253
سیستمهای دینامیکی
استراتژی
کارت امتیازی متوازن
مدیریت زنجیره تأمین لارج
ارزیابی عملکرد
محمدرضا
عاطفی
mr_atefi@azad.ac.ir
1
دانشجوی دکتری، گروه مدیریت صنعتی، مدیریت سیستم، دانشکده مدیریت و اقتصاد، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران.
AUTHOR
رضا
رادفر
r.radfar@srbiau.ac.ir
2
استاد، گروه مدیریت صنعتی، دانشکده مدیریت و اقتصاد، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران.
LEAD_AUTHOR
عزت الله
اصغری زاده
asghari@ut.ac.ir
3
دانشیار، گروه مدیریت صنعتی، دانشکده مدیریت، دانشگاه تهران، تهران، ایران.
AUTHOR
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