نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی کارشناسی ارشد، دانشگاه علم و صنعت ایران.

2 استادیار، دانشگاه علم و صنعت ایران.

3 دانشیار، دانشگاه علم و صنعت ایران.

چکیده

از زیرمجموعه ­های اساسی حوزه سلامت، می ­توان به پیوند اعضا اشاره کرد که در بسیاری از مواقع تنها راه درمان برای بیماری‌های لاعلاج و کشنده محسوب می‌شود. طراحی و ارزیابی سیاست­ های عادلانه و کارای ‌تخصیص و توزیع اعضای پیوندی یکی از پیچیده‌ترین مشکلات تصمیم‌گیری در سطح برنامه‌ریزی کوتاه‌مدت است؛ از این ­رو در این پژوهش، یک مدل ریاضی چند­دوره‌ای برای تخصیص اعضا پیوندی که از اهداکنندگان مرگ مغزی فراهم می‌شود، با درنظرگرفتن تغییر وضعیت سلامتی بیماران، ارائه ‌شده است. مدل چندهدفه، علاوه با افزایش بقای کل و افزایش توجه به نیاز پزشکی بیماران، به‌منظور کاهش هزینه‌های حمل­ و­نقل در جهت توازن بین کارایی و برابری برای انتخاب مناسب‌ترین گیرنده ارائه می‌شود؛ سپس مدل با استفاده از برنامه‌ریزی آرمانی فازی اولویت‌بندی شده، حل می­ شود. در پایان، برای اثبات کارایی و کاربردی ­بودن مدل ارائه شده نتایج آن با استفاده از داده‌ه ای شبکه پیوند اعضا مورد تحلیل و ارزیابی قرار گرفته است.

کلیدواژه‌ها

عنوان مقاله [English]

A Multi-Objective Mathematical Model for Organ Allocation to Patients in Iran Organ Transplantation Network

نویسندگان [English]

  • Bahareh Kargar 1
  • Mir Saman Pishvaee 2
  • Farnaz Barzinpour 3

1 MA, Iran University of Science and Technology.

2 Assistant Professor, Iran University of Science and Technology.

3 Associate Professor, Iran University of Science and Technology.

چکیده [English]

One of the most vital subsets of healthcare systems is organ transplantation, which has become a popular and successful cure for many fatal diseases. Efficient and fair allocation of organs is one of the most sophisticated decisions in operational planning level. Accordingly, the present study proposes a multi-period organ allocation model which considers different health levels of patient in each period. The proposed model is a multi-objective mathematical programming model which maximizes survival of patients with urgent medical need. This model also minimizes the transportation cost to make a tradeoff between efficiency and equity. In order to solve the model, a priority preemptive fuzzy goal programming approach is implemented to find preferred compromise solutions. In order to investigate the applicability and validity of the proposed model, some numerical examples are taken from a real case study in Iran’s organ transplantation network.

کلیدواژه‌ها [English]

  • Organ Transplant Supply Chain
  • Organ Allocation
  • Efficiency
  • Equity
  • Fuzzy Goal Programming
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