ارائه مدل بهینه‌سازی استوار به‌منظور طراحی زنجیره تأمین خون جامع تحت شرایط عدم‌قطعیت عرضه و تقاضا

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، گروه مدیریت صنعتی، واحد قزوین، دانشگاه آزاد اسلامی، قزوین، ایران.

2 دانشیار گروه مدیریت صنعتی، واحد قزوین، دانشگاه آزاد اسلامی، قزوین، ایران.

3 استاد گروه مدیریت صنعتی، دانشگاه علامه طباطبایی، تهران، ایران.

4 استادیار گروه مدیریت صنعتی، واحد قزوین، دانشگاه آزاد اسلامی، قزوین، ایران.

چکیده

خون یک کالای حیاتی است و کمبود آن در زنجیره تأمین نظام سلامت خون مسئله‌ساز و مصیبت‌بار خواهد بود. هرگونه پیشرفت در عملکرد زنجیره تأمین نظام سلامت به میزان زیادی باعث صرفه‌جویی در هزینه سیستم سلامت می­شود و از همه مهم‌تر اینکه جان انسان‌‌‌‌‌‌های زیادی را نجات خواهد داد؛ بنابراین در این پژوهش زنجیره تأمین خون به‌صورت مدل ریاضی برنامه‌ریزی غیرخطی مختلط شامل مراحل جمع‌آوری، فرآوری و توزیع خون و محصولات خونی با درنظر گرفتن طول­عمر و سن تقاضا، طراحی ‌شده است که به دنبال کاهش هزینه‌‌‌‌‌‌های متحمل بر زنجیره تأمین و نیز کاهش کمبود محصولات خونی می‌باشد. ازآنجا‌که همواره احتمال تغییرات ذاتی در بسیاری از پارامتر‌‌‌‌‌‌های مسئله از جمله عرضه و تقاضا وجود دارد، از روش بهینه‌سازی استوار به‌منظور مقابله با این عدم­اطمینان در زنجیره تأمین استفاده شده است. مدل طراحی‌شده ابتدا با مثال عددی و در اندازه­های کوچک به‌صورت حل دقیق و در اندازه بزرگ توسط الگوریتم‌‌‌‌‌‌های فراابتکاری وال و رقابت استعماری حل ‌شده و نتایج حل الگوریتم‌‌‌‌‌‌ها ارائه گردیده است. در پایان یک مطالعه موردی برای بررسی کاربرد مدل صورت گرفته است است.

کلیدواژه‌ها

عنوان مقاله [English]

Presenting a Robust Optimization Model to Design a Comprehensive Blood Supply Chain under Supply and Demand Uncertainties

نویسندگان [English]

  • Taher Kouchaki Tajani 1
  • Ali Mohtashami 2
  • Maghsoud Amiri 3
  • Reza Ehtesham Rasi 4
1 Ph.D. Student in Industrial Management, Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran.
2 Associate Professor of Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran.
3 Professor, Department of Industrial Management, Allameh Tabataba'i University, Tehran, Iran.
4 Assistant Professor of Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran.
چکیده [English]

Neglecting the supply chain management of perishable goods could create a lot of costs for organizations and companies. Blood is a perishable product in the healthcare supply chain, the  shortage of which could prove quite problematic and disastrous. Any improvements in the blood supply chain management operations may increase service efficiency and decrease the cost of the healthcare system, saving the lives of lots of people. In this paper, a mixed-integer nonlinear programming model is proposed for comprehensive blood supply chain management, which includes gathering, processing and distributing blood and blood products by taking into account the demand lifetime and age. This model aims at decreasing supply chain costs and blood product deficiency. Robust optimization is utilized to take into account the inherent uncertainty and volatility of the demand and supply. The proposed model is first tested on a small-scale numerical example in GAMS software. Then a large-scale problem is solved using Whale and Imperialist Competition algorithms and the results are compared. In addition, a case study is presented to show the applicability of the proposed model.

کلیدواژه‌ها [English]

  • Blood Supply Chain
  • Mathematical Modeling
  • Robust Modeling
  • Whale Metaheuristic Algorithm
  • Imperialist Competitive Algorithm

مراجع

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