کنترل موجودی فرآورده‌های خونی در شبکه بیمارستانی تحت شرایط عدم‌قطعیت

نوع مقاله : مقاله پژوهشی

نویسندگان

1 کارشناسی ارشد، دانشگاه تربیت مدرس.

2 استادیار،‌ دانشگاه تربیت مدرس.

چکیده

بحث کنترل موجودی خون و فرآورده‌های خونی مهم‌ترین چالش در مدیریت کارآمد زنجیره تأمین خون است؛ زیرا فرآورده‌های خونی فسادپذیر هستند؛ همچنین عرضه خون از سوی اهداکنندگان و تقاضا برای فرآورده‌های خونی از سوی بیماران غیرقطعی است. به‌صورت خاص، پلاکت با کوتاه‌ترین طول عمر، حداکثر پنج روز، گران‌ترین فرآورده خونی است؛ ازاین‌رو در این پژوهش مسئله کنترل موجودی پلاکت را در شبکه بیمارستانی با استفاده از برنامه‌ریزی عدد صحیح مطالعه می­شود. با توجه به وجود عدم­قطعیت تقاضای عادی بیماران در بیمارستان‌ها از رویکرد بهینه‌سازی استوار سناریومحور استفاده شده است. مدل پیشنهادی با استفاده از نرم‌افزار GAMS کدنویسی و حل شد. نتایج نشان می‌دهد که استفاده از رویکرد بهینه‌سازی استوار به‌طور متوسط 6/7 درصد هزینه‌های بیمارستان‌ها را نسبت به جوابی که عدم‌­قطعیت را نادیده می‌گیرد، کاهش می‌دهد؛ همچنین کارآمدی کنترل یکپارچه موجودی بیمارستان‌ها به ظرفیت سازمان انتقال خون برای عرضه پلاکت تازه وابسته است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Inventory Control of Blood Products in the Hospital Network under Uncertainty

نویسندگان [English]

  • Vida Yousefinezhad 1
  • Ehsan Nikbakhsh 2
1 M.Sc., Tarbiat Modares University.
2 Assistant Professor, Tarbiat Modares University.
چکیده [English]

Inventory control of blood and its products is the most important challenge in efficiently managing a blood supply chain as blood products are perishable. In addition, the replenishment of blood, which donors supply, and the demand of patients for blood products are uncertain. In particular, platelets with the shortest lifespan, up to five days, are the most expensive blood products. Therefore, this study investigates the problem of platelet inventory control in a hospital network using integer programming. Due to the uncertainty of the demand of patients in hospitals, a scenario-based robust optimization approach is applied to minimize the worst-case performance of the system. The proposed model is coded and solved using GAMS software. The results demonstrate that using a robust optimization approach reduces hospital costs by 7.6% on average compared to a solution that ignores uncertainty. Moreover, the efficiency of hospitals' inventory control depends on the capacity of the Blood Transfusion Organization to deliver fresh platelets.

کلیدواژه‌ها [English]

  • Blood Supply Chain
  • Perishable Inventory
  • Inventory control
  • Robust Optimization
  • Nonlinear Integer Programming

مراجع

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