ORIGINAL_ARTICLE
مدل تصادفی چندهدفه به منظور تعیین نوع، ظرفیت و محل نصب تولیدات پراکنده در زنجیره تأمین جدید صنعت برق
در سالهای اخیر بهدلیل هزینه بالای ساخت نیروگاههای بزرگ و متمرکز و مشکلات خطوط بلند انتقال انرژی، صنعت برق به سمت استفاده از تولیدات کوچک و توزیعشده در نزدیکی محل مشترکین سوق یافته است. از سوی دیگر با توجه به مشکلات زیستمحیطی، بخشی از این تولیدات توزیعشده مبتنی بر انرژیهای تجدیدپذیر هستند که رفتار تصادفی دارند. تعیین محل قرارگیری و ظرفیت این تولیدات در سطح شبکه توزیع تأثیر بسزایی در مدیریت منابع مالی و بهبود پارامترهای زنجیره تأمین دارد. در این پژوهش یک مدل جامع چندهدفه و احتمالاتی بهمنظور تعیین محل نصب، نوع و ظرفیت بهینه تولیدات پراکنده در سطح زنجیره تأمین جدید برق پیشنهاد شده است. هدفگذاری نهایی این مدل کمینهسازی تلفات انرژی، هزینههای سرمایهگذاری و بهرهبرداری، انرژی تأمیننشده و آلایندههای زیستمحیطی است. مدل پیشنهادی بر روی یک شبکه 33 ناحیهای توسط نرمافزار متلب اعمال و بهصورت چندهدفه توسط الگوریتم فراابتکاری ژنتیک با مرتبسازی نامغلوب حل شده است. نتایج نهایی، اثربخشی روش پیشنهادی را در ابعاد مختلف اقتصادی، زیستمحیطی و اجتماعی در زنجیره تأمین برق نشان میدهند.
https://jimp.sbu.ac.ir/article_100873_2e7a4da9deb3dabcff74d5014eee36b6.pdf
2021-06-22
9
39
10.52547/jimp.11.2.9
زنجیره تأمین توزیعشده
تولیدات پراکنده
تجدیدپذیر
عدمقطعیت
الگوریتم ژنتیک
احمد
قربانخانی
ahmad.ghorbankhani@yahoo.com
1
دانشجوی دکتری، دانشگاه یزد.
AUTHOR
علی
مروتی شریفآبادی
alimorovati@yazd.ac.ir
2
دانشیار، دانشگاه یزد.
LEAD_AUTHOR
سید حبیبالله
میرغفوری
mirghafoori@yazd.ac.ir
3
دانشیار، دانشگاه یزد.
AUTHOR
سید حیدر
میرفخرالدینی
mirfakhr@yazd.ac.ir
4
دانشیار، دانشگاه یزد.
AUTHOR
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ORIGINAL_ARTICLE
ارائه مدل و حل مسئله مکانیابی انبارهای متقاطع و زمانبندی وسایل نقلیه در زنجیره تأمین چندمحصولی با امکان برداشت و تحویل گسسته
در این پژوهش مسائل مکانیابی انبارهای متقاطع، مسیریابی و زمانبندی وسایل نقلیه را بهطور همزمان در یک زنجیره تأمین سهسطحی با امکان برداشت و تحویل گسسته، با هدف کمینهسازی مجموع هزینهها (هزینه احداث انبارهای متقاطع، هزینههای ثابت و متغیر حملونقل و جریمه تأخیر و تعجیل)، موردمطالعه قرار گرفته و یک مدل برنامهریزی ترکیبی عدد صحیح غیرخطی برای آن ارائه شده است. در این مدل تصمیمگیری در خصوص تخصیص وسایل نقلیه ناهمگن به فرآیند برداشت و تحویل و انتخاب مکان و تعداد انبارهای متقاطع برای احداث از میان مکانهای بالقوه موجود پس از حل مدل صورت میگیرد. فرض چندمحصولیبودن شامل تکتک تأمینکنندگان، انبارهای متقاطع و مشتریان میشود. برای تحویل هر نوع از کالاها در محل هر یک از مشتریان یک پنجره زمانی نرم در نظر گرفته شده است و علاوه بر جریمه تأخیر، جریمه تعجیل در تحویل کالاها متناسب با مدتزمان و مقدار کالای مواجهشده با تأخیر/ تعجیل محاسبه میشود. سه دسته مسئله در ابعاد کوچک، متوسط و بزرگ بهصورت تصادفی تولید و با استفاده از الگوریتم شبیهسازی تبرید حل شدهاند. برای مسائل کوچک، جواب حاصل از روشهای حل دقیق با نتایج الگوریتم شبیهسازی تبرید مقایسه شده است.
https://jimp.sbu.ac.ir/article_94173_1fef42fa33a688b86a6fc2f3f9d58754.pdf
2021-06-22
41
66
10.52547/jimp.11.2.41
برنامهریزی ریاضی
مکانیابی انبارهای متقاطع
مسیریابی وسایل نقلیه
برداشت و تحویل گسسته
الگوریتم شبیهسازی تبرید
سهیلا
قربانی
soheyla.ghorbani@yahoo.com
1
دانشآموخته کارشناسی ارشد، دانشگاه آزاد اسلامی، واحد قزوین.
AUTHOR
بهروز
افشارنجفی
afsharnb@alum.sharif.edu
2
دانشیار، گروه مهندسی صنایع، دانشکده مهندسی صنایع و مکانیک، دانشگاه آزاد اسلامی، واحد قزوین.
LEAD_AUTHOR
Emadabadi, A.A., Teimoury, E., & Pishvaee, M.S. (2019). Design of Multi-Periodical and Multi-Product Supply Chain Network with Regard to Disruption of Facilities and Communication Paths (Case Study: Subscription Plan for Publications). Journal of Industrial Management Perspective, 35, 135-163. (In Persian)
1
Eslaminia, 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)
2
Javanfar, E., rezaeian, j., Shokoufi, K., & Mahdavi, I. (2017). Multi-Product Cross-Docks Location - Routing Problem Considering Heterogeneous Capasitated Vehicles and Capability of Pick-up and Delivery in Several Times in a Multi-level Supply Chain Network. Transportation Engineering, 4, 603-627. (In Persian)
3
Nikjoo, N., & Javadian, N. (2019). A Multi-Objective Robust Optimization Logistics Model in Times of Crisis under Uncertainty. Journal of Industrial Management Perspective, 32, 121-147. (In Persian)
4
Seif Barghy, M., & Mortazavi, S. (2018). Tow-Objective Modeling of Location-Allocation Problem in a Green Supply Chain Considering Transportation System and CO2 Emission. Journal of Industrial Management Perspective, 29, 163-185. (In Persian)
5
Zare', Y., Barghi, Sh., & Momeni, H. (2011). Using Simulated Annealing Metahuristic Method to Solve the Supply Chain Problems. Journal of Operations Research and Applications, 30, 1-24. (In Persian)
6
Agustina, D., Lee, C.K.M., & Piplani, R. (2010). A review: mathematical models for cross-docking planning. International Journal of Engineering Business Management, 2, 47–54.
7
Birim, S. (2016). Vehicle routing problem with cross docking: A simulated annealing approach. The 12th International Strategic Management Conference (ISMC 2016), Antalya, Turkey, 149-158.
8
Ferreira, K.M., & Queiroz, T.A. (2018). Two effective simulated annealing algorithms for theLocation-Routing Problem, Applied Soft Computing, 70, 389-422.
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10. Gutierrez-Rodríguez, A.E., Conant-Pablos, S.E., Ortiz-Bayliss, J.C., & Terashima-Marín, H. (2019). Selecting meta-heuristics for solving vehicle routing problems with time windows via meta-learning. Expert Systems with Applications, 118, 470-481.
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ORIGINAL_ARTICLE
ارائه الگوی تجزیه و تحلیل و بهبود سیستم خدماتی با استفاده از تئوری صف و رویکرد شبیه سازی )مورد مطالعه: واحد مالی سازمان آب همدان)
در سیستم خدمات، افراد علاقه ندارند که برای دریافت خدمات در صف منتظر بمانند. برای افزایش کارایی و بهبود عملکرد سیستم می توان از شبیهسازی کمک گرفت. شبیهسازی توصیفی از رویدادهای جاری در سیستم را ارائه میدهد. در این پژوهش با ارائه الگوی مدلسازی صف یک سیستم خدماتی به کمک نرمافزار ED نسخه 8.1، رفتار سیستم واحد مالی سازمان آب همدان شبیهسازی و تجزیهوتحلیل شده است؛ سپس با انتخاب کمهزینهترین سناریو، بهبودها پیشبینی شده است. عناصر مدل نیز تجزیه و تحلیل آماری شده و بدین ترتیب پایداری روش از نظر پایایی و روایی نشان داده شده است. نتایج سناریوی پیشنهادی تفاوت معناداری را در کاهش زمان انتظار کل سیستم نشان میدهد. در سناریو تقسیم کار با ایجاد همکاری بین خدمتدهندگان میتوان زمان انتظار کل مراجعهکنندگان سیستم را کم کرد. طبق این سناریو تصمیم بر این شد که با آموزش هر سه کارمند آنها را توانمند ساخت تا هر سه بتوانند به هر سه نوع رجوعکننده A و B و C خدمترسانی کنند. به این ترتیب شکل مدل تغییر پیدا کرد. در نتیجۀ راهکار پیشنهادی، بهطور میانگین تقریبا 60 ثانیه در وقت هر مراجعهکننده صرفـهجویی میشود. پس میتوان با تدابیر ممکن و تدوین برنامه آموزشی جریان کار را بهبود داد.
https://jimp.sbu.ac.ir/article_100918_8875758e8305c8bb7fcad4db7baa7069.pdf
2021-06-22
67
100
10.52547/jimp.11.2.67
مدیریت خدمات
شبیهسازی
نظریه صف
نرمافزار ED
پیمان
زندی
p_zandi86@yahoo.com
1
دانشآموخته کارشناسی ارشد، دانشگاه علامه طباطبائی.
AUTHOR
محمد
رحمانی
m.rahmani@basu.ac.ir
2
استادیار، دانشگاه بوعلی سینا.
LEAD_AUTHOR
پرهام
عظیمی
p.azimi@yahoo.com
3
دانشیار، دانشگاه آزاد اسلامی، واحد قزوین.
AUTHOR
Abedi, S., Radfar. R., & Hamidi, N. (2010). Optimization of fuel station deployment plan by using simulation tools in queue theory. Development and transformation management, 2(4), 43- 52.
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54
ORIGINAL_ARTICLE
طراحی شبکه سلسلهمراتبی مراکز درمان موقت شهری در شرایط بحران با رویکرد تلفیقی مدل ریاضی - شبیهسازی
اثرات ویرانگر بلایای طبیعی، اهمیت لجستیک و برنامهریزی منابع انسانی را در مراحل قبل و بعد از بحران نشان میدهد. هنگام بروز بحران به منظور امدادرسانی سریع، شبکه سلسله مراتبی سلامت که شامل درمانگاهها و بیمارستانها است، فعال میشود. در این پژوهش با استفاده از مدل ریاضی مختلط عدد صحیح و با درنظرگرفتن موقعیت فعلی بیمارستانها و درمانگاهها، مکانهای بهینهای با عنوان «مراکز درمان موقت» تعیین و نحوه تخصیص بهینه مصدومان از ناحیههای شهری به این مراکز پیشنهاد میشود. انتخاب مکانهای بهینه، تخصیص بهینه سلسلهمراتبی مصدومان، تعیین ظرفیت بهینه مراکز پذیرش، تعیین نقاط پشتیبان برای مراکز درمان موقت در قالب یک مدل تلفیقی ریاضی و شبیهسازی بهصورت همزمان از نوآوریهای این پژوهش است. به کمک مدل شبیهسازی لحظه بروز بحران و فرایند امداد و نجات شبیهسازیشده و با رویکرد بهینهسازی مبتنی بر شبیهسازی، ظرفیت بهینه مراکز موقت و اصلاح ظرفیت درمانگاهها و بیمارستانهای فعلی انجام شده است. نتایج پژوهش نشان میدهد مدل سلسله مراتبی مکانیابی–تخصیص، بهینهسازی ظرفیت سبب کاهش ازدحام مصدومان و کاهش هزینه و زمان درمان میشود.
https://jimp.sbu.ac.ir/article_87606_3994f92e283d1fd9f900d308f4864a7c.pdf
2021-06-22
99
124
10.52547/jimp.11.2.99
مدیریت بحران
مراکز درمان اضطرار موقت
بهینه سازی مبتنی بر شبیه سازی
مدل ریاضی سلسله مراتبی
طراحی شبکه درمان
سوگل
موسوی
sogol.moosavi@yahoo.com
1
دانشجوی دکتری، گروه مهندسی صنایع، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران.
AUTHOR
سید مجتبی
سجادی
msajadi@ut.ac.ir
2
دانشیار، گروه کسب و کار، دانشکده کارآفرینی، دانشگاه تهران، تهران، ایران.
LEAD_AUTHOR
اکبر
عالم تبریز
a-tabriz@sbu.ic.ir
3
استاد، گروه مدیریت صنعتی و فناوری اطلاعات، دانشکده مدیریت و حسابداری، دانشگاه شهید بهشتی، تهران، ایران.
AUTHOR
سید اسماعیل
نجفی
najafi1515@yahoo.com
4
استادیار، گروه مهندسی صنایع، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران.
AUTHOR
Ahmadi-Javid, A., Seyedi, P., & Syam, S. S. (2017). A survey of healthcare facility location. Computers & Operations Research, 79, 223-263.
1
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39
ORIGINAL_ARTICLE
طراحی سیستم استنتاج فازی برای ارزیابی زنجیره تأمین سبز شرکتهای تولیدی صادراتی
هدف پژوهش حاضر طراحی سیستم استنتاج فازی برای ارزیابی زنجیره تأمین سبز شرکتهای تولیدی صادراتی است. این پژوهش از نظر هدف، کاربردی میباشد. جامعه آماری پژوهش شامل شرکتهای تولیدی صادراتی در شمالغرب کشور است که نمونه آماری بهصورت هدفمند و به تعداد 143 شرکت تعیین شد. برای جمعآوری دادهها از پرسشنامه پژوهشگرساخته مبتنی بر مبانی نظری پژوهش استفاده شد. برای بررسی روایی پرسشنامه از روایی سازه بر اساس تحلیل عاملی تأییدی بهرهگیری شد. برای بررسی پایایی پرسشنامه نیز از ضریب آلفای کرونباخ استفاده شده است. پرسشنامههای پژوهش، پس از تأیید روایی و پایایی در میان اعضای نمونه آماری پژوهش توزیع شد. بهمنظور ارزیابی زنجیره تأمین سبز شرکتها از سیستم استنتاج فازی، بر اساس توابع عضویت مثلثی و استنتاج ممدانی، بهره گرفته شده است. نتایج نشان میدهد که سیستم طراحیشده قادر است میزان سبزبودن زنجیره تأمین شرکتهای صادراتی را بر اساس مقادیر عددی و واژههای زبانی نشان دهد.
https://jimp.sbu.ac.ir/article_100700_2cce463d64607d828ce479089c86be89.pdf
2021-06-22
125
144
10.52547/jimp.11.2.125
سیستم استنتاج فازی
زنجیره تأمین سبز
شرکتهای تولیدی صادراتی
عملیات ورودی
عملیات تولیدی
عملیات خروجی
عیسی
نریمانی قورتلار
easa.narimani@yahoo.com
1
دانشجوی دکتری، دانشگاه آزاد اسلامی، واحد امارات.
AUTHOR
ناصر
فقهی فرهمند
farahmand@iaut.ac.ir
2
دانشیار، دانشگاه آزاد اسلامی، واحد تبریز.
LEAD_AUTHOR
نازنین
پیلهوری
denisly0097@yahoo.com
3
دانشیار، دانشگاه آزاد اسلامی، واحد تهران غرب.
AUTHOR
کمال الدین
رحمانی
kr13452000@yahoo.com
4
دانشیار، دانشگاه آزاد اسلامی، واحد تبریز.
AUTHOR
محمدرضا
معتدل
farahmand2003tbz@yahoo.com
5
استادیار، دانشگاه آزاد اسلامی، واحد تهران مرکزی.
AUTHOR
Al-Ghwayeen, W. S., & Abdallah, A. B. (2018). Green supply chain management and export performance. Journal of Manufacturing Technology Management, 29(7), 1233-1252.
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Islam, M. S., Tseng, M. L., Karia, N., & Lee, C. H. (2018). Assessing green supply chain practices in Bangladesh using fuzzy importance and performance approach. Resources, Conservation and Recycling, 131, 134-145.
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Jenkin, T. A., Webster, J., & McShane, L. (2011). An agenda for ‘Green’information technology and systems research. Information and Organization, 21(1), 17-40.
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Kusi-Sarpong, S., Sarkis, J., & Wang, X. (2016). Assessing green supply chain practices in the Ghanaian mining industry: A framework and evaluation. International Journal of Production Economics, 181, 325-341.
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Li, S., Ngniatedema, T., & Chen, F. (2017). Understanding the impact of green initiatives and green performance on financial performance in the US. Business Strategy and the Environment, 26(6), 776-790.
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ORIGINAL_ARTICLE
یک مدل برنامهریزی دو مرحلهای برای آمایش کشت برنج تحت شرایط عدم قطعیت پویا (مورد مطالعه: ایران)
برنج بهعنوان یکی از کالاهای اساسی در بخش کشاورزی عموماً توسط کشاورزان روستایی بر اساس تجربه در مزارع کشاورزی کشت میشود. کشت سنتی این محصول به هدررفت منابع طبیعی، مانند ذخایر آب، منجر شده است. هدف پژوهش حاضر یافتن پهنههای مناسب و تعیین الگوی کشت برنج با استفاده از یک روش دومرحلهای است. در قسمت اول برای دستهبندی پهنههای مناسب برای کشت برنج در ایران از ادغام سیستم اطلاعات جغرافیایی با روش بهترین ـ بدترین استفاده شد. مرحله اول بهعنوان ورودی به مرحله دوم، یعنی مدل بهینهسازی برای تعیین الگوی کشت برنج در نظر گرفته میشود. برای درنظرگرفتن شرایط آبوهوایی در همه دورهها از رویکرد بهینهسازی تصادفی چندمرحلهای استفاده شد. شرایط آبوهوایی در هر دوره در سه سناریو موردبررسی قرار گرفت. کاربرد مدل در مطالعه موردی کشور ایران بررسی شد. نتایج نشان میدهد که بیشتر پهنههای مناسب برای کشت برنج در شمال کشور و قسمتی از غرب ایران قرار گرفته است و الگوی کشت مناسب برای بیشتر کشاورزان، کشت برنج پرمحصول و به روش نشایی است.
https://jimp.sbu.ac.ir/article_101050_e4e6a2ece3c458d8cf8de94b4ad7c7fd.pdf
2021-06-22
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10.52547/jimp.11.2.145
آمایش زمین
الگوی کشت برنج
سیستم اطلاعات جغرافیایی
برنامهریزی تصادفی چند مرحلهای
روش بهترین-بدترین
حسین
ابراهیمی محمودی
hossein_ebrahimi@ind.iust.ac.ir
1
دانشجوی کارشناسی ارشد، دانشگاه علم و صنعت ایران.
AUTHOR
میرسامان
پیشوایی
pishvaee@iust.ac.ir
2
دانشیار، دانشگاه علم و صنعت ایران.
LEAD_AUTHOR
ابراهیم
تیموری
teimoury@iust.ac.ir
3
دانشیار، دانشگاه علم و صنعت ایران.
AUTHOR
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ORIGINAL_ARTICLE
شناسایی و اولویتبندی عوامل تأخیر و راهکارهای تحویل بهموقع مبتنی بر EFQM در صنعت هواپیمایی
در دنیای رقابتی امروز، رعایت الزامات مشتریمداری شرط اصلی پایداری در بازار غیرانحصاری و رقابتی است. عدمتحویل بهموقع محصولات، سبب بروز نارضایتی مشتریان و تحمیل هزینههای اضافی خواهد شد. از این رو تأخیر پروژهها و ارائه راهکارهایی برای رفع آنها یکی از مشکلات مهم در سازمانها تلقی میشود. این پژوهش با هدف شناسایی و اولویتبندی عوامل تأخیر و راهکارهای تحویل بهموقع محصولات در صنعت ساخت و تولید اقلام و سامانههای هوایی در محدوده زمانی سال 1398 انجام شده است. بدین منظور عوامل تأخیر با استفاده از مدل تعالی سازمانی شناسایی و دستهبندی شدند؛ سپس با استفاده از تکنیک مدلسازی ساختاری - تفسیری، روابط شبکهای وابستگی عوامل تأخیر و راهکارها مشخص و میزان تأثیر آنها در تأخیرات با روش تحلیل شبکهای محاسبه شد. درنهایت با تحلیل اهمیت - عملکرد و بر اساس سه شاخص میزان هزینه برای اجرای راهکار اصلاحی، مدتزمان لازم برای اصلاح و دسترسی و امکانپذیری، راهکارهای قابلپذیرش تعیین و اولویتبندی گردید. یافتهها نشان داد که از میان 113 عامل تأخیر شناساییشده، 45 عامل دارای تأخیر ریشهای بوده است. پس از انجام مدلسازی ساختاری تفسیری 19 عامل ریشهای تاثیرگذار (محرک) مشخص گردید و سپس 14 راهکار اصلاحی همراه با وزندهی و اولویتبندی آنها توسط خبرگان تعیین شد.
https://jimp.sbu.ac.ir/article_101010_74b1712c3283694e64af3e80ac099eea.pdf
2021-06-22
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10.52547/jimp.11.2.177
تأخیر
مدل تعالی سازمانی
مدلسازی ساختار - تفسیری
تصمیمگیری چندمعیاره
تحلیل اهمیت- عملکرد
امالبنین
یوسفی
yousefi_1302@yahoo.com
1
استادیار، دانشگاه صنعتی مالک اشتر شاهین شهر.
LEAD_AUTHOR
عبدالرسول
نوروزی
rasool1951@yahoo.com
2
کارشناسی ارشد، دانشگاه آزاد نجف آباد.
AUTHOR
ندا
حاج حیدری
nedahajheidari@gmail.com
3
کارشناسی ارشد، دانشگاه صنعتی مالک اشتر شاهین شهر.
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ORIGINAL_ARTICLE
تحلیل تطبیقی ـ فازی قابلیت نوآوری ملّی مبتنی بر نتایج مدل تحلیل پوششی دادههای شبکهای پویا
در این پژوهش با ارائه چارچوب قابلیت نوآوری ملّی در قالب نظام چندبخشی، یک مدل شبکهای و پویا معرفی میشود. در این نظام بهمنظور شناسایی مسئله عملکردی کشور، ابتدا با استفاده از تحلیل کتابشناختی و برگزاری جلسههای گروه کانونی با خبرگان، مراحل و شاخصهای مدل فرایندی، شناسایی و طراحی شدند؛ سپس مدل تحلیل پوششی دادههای شبکهای پویا برای محاسبه عملکرد کشور، در مقایسه با سایر کشورهای منطقه بهکار گرفته شد. نتایج مدل نشان داد که قابلیت نوآوری ملّی کشور در مرحله سوم، یعنی در تبدیل پتنتها به صادرات محصولات با فناوری بالا و کالاهای خلاقانه، ضعیف است. در ادامه بهمنظور ارائه سیاست پیشنهادی در ارتقای عملکرد کشور در مرحله سوم، با استفاده از تحلیل تطبیقی کیفی مجموعه فازی (fsQCA) ترکیبات ابعاد نهادها، سرمایه انسانی و پژوهش، زیرساخت، پیچیدگی بازار و پیچیدگی کسبوکار موردبررسی قرار گرفت و برای کالیبرهکردن دادهها از روش خوشهبندی K-MEANS استفاده شد. خروجی تحلیل یادشده نشان داد که ترکیب دو بُعد نهادها و سرمایه انسانی/ پژوهش در ارتقای عملکرد کشور شرط کافی است.
https://jimp.sbu.ac.ir/article_101163_17435c7f74e4ddcb62d35a810adb20f6.pdf
2021-06-22
207
246
10.52547/jimp.11.2.207
قابلیت نوآوری ملّی
تحلیل کتابشناختی
تحلیل پوششی دادههای شبکهای پویا
تحلیل تطبیقی کیفی مجموعه فازی
روش خوشهبندی K-MEANS
محمدعلی
ترابنده
m.a.torabandeh@gmail.com
1
دانشجوی دکتری، دانشگاه شهید بهشتی.
AUTHOR
بهروز
دری نوکرانی
b-dori@sbu.ac.ir
2
استاد، دانشگاه شهید بهشتی.
LEAD_AUTHOR
علیرضا
موتمنی
ar_motameni@yahoo.com
3
دانشیار، دانشگاه شهید بهشتی.
AUTHOR
مسعود
ربیعه
m_rabieh@sbu.ac.ir
4
استادیار، دانشگاه شهید بهشتی.
AUTHOR
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ORIGINAL_ARTICLE
رابطه بین قابلیت لجستیک و ریسک در تابآوری زنجیره تأمین حملونقل کالا با رویکرد تحلیل همبستگی کانونی
در این پژوهش، بهمنظور شناسایی راهکارهای تابآور نمودن زنجیره تأمین حملونقل کالا، 14 شاخص برای قابلیت لجستیک و 13 شاخص برای ریسک از روش تحلیل عاملی بهدست آمد. پرسشنامه قابلیت لجستیک توسط مشتریان و پرسشنامه ریسک توسط مدیران و کارکنان شرکتهای حملونقل پاسخ داده شد. شش عامل در متغیر قابلیت لجستیک و پنج عامل در متغیر ریسک از روش تحلیل عاملی، کشف و نامگذاری شدند. همبستگی کانونی بین شاخصها از طریق نرمافزار SPSS تحلیل شد. یافتههای حاصل از تحلیل همبستگی کانونی نشان میدهد که ترکیب خطی مناسب و همبستگی معناداری بین متغیر قابلیت لجستیک و متغیر ریسک وجود دارد و در ضریب کانونی اول، میزان واریانس81 درصد و در ضریب کانونی دوم، واریانس 78 درصد بین دو ترکیب خطی کانونی بهدست آمد. نتایج نشان میدهد که شاخصهای ریسک میتوانند تا 2/13 درصد، باعث تغییرات در قابلیت لجستیک شوند و شاخصهای قابلیت لجستیک هم میتوانند تا 8/16 درصد در متغیر ریسک تغییر ایجاد کنند؛ همچنین شاخصهای بیمه و تضمین ایمنی و تحویل بهموقع کالا، بیشترین تأثیر را در بهبود قابلیت لجستیک دارند و شاخصهای تأخیرات ناوگان و مشکلات تهیه سوخت ناوگان حملونقل، بیشترین تأثیر را در افزایش ریسک دارند.
https://jimp.sbu.ac.ir/article_101266_eda86957b418e30e9d2e51d3a9392f6d.pdf
2021-06-22
247
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10.52547/jimp.11.2.247
قابلیت لجستیک
ریسک
تابآوری
حملونقل کالا
همبستگی کانونی
منصور
جنگی زهی
jangizehi@yahoo.com
1
مربی، گروه مهندسی صنایع، دانشگاه پیام نور، ایران.
LEAD_AUTHOR
احمد
گائینی
againi@ihu.ac.ir
2
استادیار، گروه ریاضی، دانشگاه امام حسین (ع).
AUTHOR
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ORIGINAL_ARTICLE
ارائه مدل ریاضی مکانیابی، چندکالایی و چنددورهای در زنجیره حلقهبسته پایدار با درنظرگرفتن ریسک و عدمقطعیت در تقاضا و کیفیت
زنجیرههای تأمین پایدار به دنبال ایجاد تعادل بین اهداف اقتصادی، زیستمحیطی و اجتماعی هستند. شرکتها نیز بهمنظور کاهش هزینهها و افزایش کارایی زنجیره تأمین مجبور به استفاده از زنجیره تأمین حلقهبسته هستند. درنظرگرفتن ریسک در زنجیرههای تأمین بهخصوص زنجیرههای تأمین بازگشتی یکی از موضوعهایی است که مطالعات زیادی در خصوص آن انجام نشده است؛ بنابراین در این پژوهش به مکانیابی اجزای یک زنجیره تأمین سههدفه، حلقهبسته پایدار، چندکالایی، چنددورهای با درنظرگرفتن عدمقطعیت و سناریوهای بازار برای با رویکرد ریسک پرداخته میشود. نوآوریهای پژوهش عبارتاند از: درنظرگرفتن ریسک در زنجیره تأمین حلقهبسته پایدار بهعنوان بخشی از تابع هدف؛ درنظرگرفتن عدمقطعیت تقاضا در زنجیره تأمین با استفاده از سناریوهای تعریفشده؛ توجه به کیفیت محصولات بازگشتی؛ چنددورهایبودن و چندمحصولیبودن مدل و سفارشیکردن مدل پیشنهادی برای یک مطالعه موردی واقعی. با توجه به NP-Hard بودن مسئله، مدل پیشنهادی با استفاده از رویکرد فراابتکاری ژنتیک رتبهبندی نامغلوب NSGA-II حل شده است. تحلیل حساسیت بر روی پارامترهای مسئله انجام شده است و کارایی روشهای موردمطالعه بررسی شدهاند. میانگین نقاط پارتو حاصل از تابع هدف اول برابر 9/56789، میانگین نقاط پارتو برای تابع هدف دوم برابر 8/1828و برای تابع هدف سوم برابر 32/77365 و همچنین میانگین زمان حل مدل برابر 9/15 ثانیه است.
https://jimp.sbu.ac.ir/article_101049_33856df3a4d1e024e94c63d72bd9d982.pdf
2021-06-22
271
304
10.52547/jimp.11.2.271
زنجیره تأمین حلقهبسته پایدار
ریسک
عدمقطعیت
رویکرد CVaR
سینا
ساجدی
sina_sad11@yahoo.com
1
دانشجوی دکتری، دانشگاه آزاد اسلامی واحد تهران جنوب، تهران، ایران.
AUTHOR
امیر همایون
سرفراز
dr.ahsarfaraz@yahoo.com
2
استادیار، دانشگاه آزاد اسلامی واحد تهران جنوب، تهران، ایران.
LEAD_AUTHOR
شهروز
بامداد
sh.bamdad2000@yahoo.com
3
استادیار، دانشگاه آزاد اسلامی واحد تهران جنوب، تهران، ایران.
AUTHOR
کاوه
خلیلی دامغانی
kaveh.khalili@gmail.com
4
دانشیار، دانشگاه آزاد اسلامی واحد تهران جنوب، تهران، ایران.
AUTHOR
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