بهینه‌سازی زنجیره تأمین بیمارستان تحت شرایط عدم‌قطعیت: کاربرد برنامه‌ریزی آرمانی فازی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، دانشگاه یزد.

2 دانشیار، دانشگاه یزد.

3 استاد، دانشگاه یزد.

چکیده

امروزه توسعه سیستم‌های کارآمد و اثربخش بهداشت و درمان به یکی از نگرانی‌های اصلی دولت‌ها و تصمیم‌گیرندگان بهداشت و درمان تبدیل شده است. تأمین به‌موقع دارو و کارایی سیستم موجودی و توزیع، نقشی حیاتی در زنجیره تأمین بیمارستانی دارند و برای افزایش کارایی این فعالیت‌ها، فرآیند تصمیم‌گیری مناسب در مدیریت موجودی ضروری به نظر می‌رسد. در این پژوهش یک مدل دوهدفه به‌صورت برنامه‌ریزی خطی عدد صحیح مختلط برای مدیریت جریان دارو و اطلاعات ارائه شده است. اهداف این مدل حداقل­کردن هزینه‌های خرید، نگهداری، نیروی انسانی و انقضای دارو و نیز حداقل‌کردن کمبود دارو است. عدم­قطعیت پارامترها مربوط به تقاضا، ظرفیت ذخیره‌سازی و تأمین و نیز سطح تمایل هر آرمان است. مدل اولیه ابتدا به مدل برنامه‌ریزی آرمانی فازی عدد صحیح مختلط تبدیل شده، آنگاه مدل حاصل با استفاده از روش ترابی و هَسینی به مدل تک‌هدفه تبدیل و با نرم‌افزار گمز حل شد. برای تشریح رویکرد پیشنهادی از زنجیره تأمین «بیمارستان شهید بهشتی کاشان» استفاده شده است. بررسی نتایج نشان داد که تصمیمات مربوط به خرید و لجستیک دارو، اثر زیادی بر کمبود دارو و کنترل هزینه‌های مختلف موجودی دارو در بیمارستان دارد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Hospital Supply Chain Optimization under Uncertainty: Application of Fuzzy Goal Programming

نویسندگان [English]

  • Mostafa Salmannejad 1
  • Seyed Habibollah Mirghafoori 2
  • Davood Andalib Ardakani 2
  • Seyyed Heidar Mirfakhredini 3
1 Ph.D Student, Yazd University.
2 Associate Professor, Yazd University.
3 Professor, Yazd University.
چکیده [English]

Developing efficient and effective health care systems has become a major concern for governments and health care decision makers. In-time supply of medicine and efficiency of the inventory and distribution system play a vital role in the hospital supply chain and require a proper decision-making process in inventory management. This study suggests a two-objective model of mixed-integer, linear programming to manage medicine and information flow. The main goals of this model are to minimize the costs of purchasing, maintaining, manpower, and medicine expiration, and to minimize medicine shortages. Uncertainty parameters are related to demand, storage, and supply capacity, as well as the aspiration level of each goal. The initial model is first transformed into a fuzzy mixed-integer, goal programming model. Then, the resulting model is transformed into a one-objective model using methods suggested by Torabi and Hassini and solved in GAMS. The supply chain of Shahid Beheshti Hospital in Kashan is used to explain the proposed approach. The results indicate that decisions related to the purchase and logistics of medicine have a great impact on medicine shortages and control various costs relating to medicine inventory in this hospital.

کلیدواژه‌ها [English]

  • Hospital Supply Chain
  • Healthcare
  • Services
  • Optimization
  • Fuzzy Goal Programming

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چشم‌انداز مدیریت صنعتی
دوره 12، شماره 1 - شماره پیاپی 45
فروردین 1401
صفحه 161-191

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