سامانه مدیریت نشریات علمی دانشگاه شهید بهشتی

حسینی دهشیری, سید جلال‌الدین, امیری, مقصود, الفت, لعیا, پیشوایی, میرسامان. (1401). طراحی شبکه زنجیره تأمین حلقه‌بسته کاغذسنگی با استفاده از برنامه‌ریزی محدودیت شانس انعطاف‌پذیر امکانی تصادفی استوار. , 12(1), 45-81. doi: 10.52547/jimp.12.1.45
سید جلال‌الدین حسینی دهشیری; مقصود امیری; لعیا الفت; میرسامان پیشوایی. "طراحی شبکه زنجیره تأمین حلقه‌بسته کاغذسنگی با استفاده از برنامه‌ریزی محدودیت شانس انعطاف‌پذیر امکانی تصادفی استوار". , 12, 1, 1401, 45-81. doi: 10.52547/jimp.12.1.45
حسینی دهشیری, سید جلال‌الدین, امیری, مقصود, الفت, لعیا, پیشوایی, میرسامان. (1401). 'طراحی شبکه زنجیره تأمین حلقه‌بسته کاغذسنگی با استفاده از برنامه‌ریزی محدودیت شانس انعطاف‌پذیر امکانی تصادفی استوار', , 12(1), pp. 45-81. doi: 10.52547/jimp.12.1.45
حسینی دهشیری, سید جلال‌الدین, امیری, مقصود, الفت, لعیا, پیشوایی, میرسامان. طراحی شبکه زنجیره تأمین حلقه‌بسته کاغذسنگی با استفاده از برنامه‌ریزی محدودیت شانس انعطاف‌پذیر امکانی تصادفی استوار. , 1401; 12(1): 45-81. doi: 10.52547/jimp.12.1.45

طراحی شبکه زنجیره تأمین حلقه‌بسته کاغذسنگی با استفاده از برنامه‌ریزی محدودیت شانس انعطاف‌پذیر امکانی تصادفی استوار

چشم‌انداز مدیریت صنعتی
دوره 12، شماره 1 - شماره پیاپی 45، فروردین 1401، صفحه 45-81    اصل مقاله (829.3 K)
نوع مقاله: مقاله پژوهشی
شناسه دیجیتال (DOI): 10.52547/jimp.12.1.45
نویسندگان
سید جلال‌الدین حسینی دهشیری1؛ مقصود امیری* 2؛ لعیا الفت2؛ میرسامان پیشوایی3
1دانشجوی دکتری، دانشگاه علامه طباطبایی.
2استاد، دانشگاه علامه طباطبائی.
3دانشیار، دانشگاه علم و صنعت ایران.
چکیده
به دلیل عدم قطعیت‌های شناختی، تصادفی و محدودیت‌های انعطاف پذیر، در این مطالعه مدل جدیدی از برنامه‌ریزی محدودیت شانس انعطاف‌پذیر، امکانی، تصادفی استوار مختلط بر مبنای تئوری اعتبار برای طراحی شبکه زنجیره تامین حلقه بسته توسعه داده شد. نگرش‌های متفاوت تصمیم‌گیرندگان با اندازه‌گیری انعطاف‌پذیرتر پارامترهای خوش‌بینانه و بدبینانه در قالب معیار اعتبار پاسخ داده شد. حداقل سطح رضایت محدودیت‌های انعطاف‌پذیر با حل مدل بهینه گردید. مدل پیشنهادی، قادر به کاهش انحرافات امکانی، انحرافات تصادفی، عدم تحقق محدودیت‌های مربوط به تقاضا و ظرفیت و نقض محدودیت‌های انعطاف‌پذیر بوده است که بطور همزمان عدم قطعیت‌های شناختی و تصادفی و انعطاف‌‌پذیری محدودیت‌ها در مدل لحاظ شده است. برای کاربرد مدل پیشنهادی، مطالعه‌ای موردی به منظور طراحی شبکه زنجیره‌تامین حلقه بسته کاغذ سنگی چند محصولی، چند دوره‌ای انجام شد. نتایج پیاده‌سازی مدل پیشنهادی در مورد مطالعاتی نشان داد که در شرایط مختلف و با توجه به اهمیت نظرات تصمیم‌گیرندگان، با استفاده از محدوده خوش‌بینانه و بدبینانه، می‌توان تعداد، محل تسهیلات، جریان بهینه محصولات و مواد را بین مراکز در شبکه زنجیره‌تامین کاغذ سنگی تعیین کرد. رویکرد پیشنهادی قادر به ارائه راه‌حل‌های واقع بینانه‌ای بر اساس سناریوها و ترجیحات تصمیم‌گیرندگان بود. مدل پیشنهادی با استفاده از تحلیل استواری و تحلیل حساسیت بررسی شد و عملکرد آن با استفاده از داده‌های اسمی در مدل تحقق ارزیابی شد که نتایج بررسی‌ها، نشان‌دهنده کارایی مناسب مدل بود.
کلیدواژه‌ها
طراحی شبکه زنجیره تأمین حلقه‌بسته؛ برنامه‌ریزی تصادفی؛ برنامه‌ریزی امکانی؛ برنامه‌ریزی انعطاف‌پذیر؛ بهینه‌سازی استوار
عنوان مقاله [English]
Stone Paper Closed-Loop Supply Chain Network Design using Robust Stochastic, Possibilistic and Flexible Chance-constrained Programming
نویسندگان [English]
Seyyed Jalaladdin Hosseini Dehshiri1؛ Maghsoud Amiri2؛ Laya Olfat2؛ Mir Saman Pishvaee3
1Ph.D. Student, Allameh Tabataba'i University.
2Professor, Allameh Tabatabaei University.
3Associate Professor, Iran University of Science and Technology.
چکیده [English]
Considering the cognitive, random, uncertain, and flexible constraints, a robust, stochastic, possibilistic, and flexible chance-constrained model was developed based on credibility measurement. The ultimate aim was closed-loop supply chain network design. Different attitudes of decision-makers were answered by more flexible measurements of optimistic and pessimistic parameters in the form of credibility measurement. The model has been able to reduce the possible deviation, stochastic deviations, non-fulfillment of demand and capacity constraints, and violation of flexible constraints, which simultaneously include cognitive and random uncertainties and flexibility of constraints in the model. To apply the model, a case study was conducted to design the closed-loop supply chain network of multi-product and multi-period stone paper. The results of implementing the model showed that in different situations and according to the importance of decision makers' opinions, using the range of optimism and pessimism, the number, location of facilities, optimal flow of products and materials between centers in the stone paper supply chain network can be determined. The proposed model was evaluated using robustness and sensitivity analysis, and its performance was evaluated using nominal data in the realization model, which results showed the appropriate performance of the model.
کلیدواژه‌ها [English]
Closed-Loop Supply Chain Network Design, Stochastic Programming, Possibilistic Programming, Flexible Programming, Robust Optimization
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