یک مدل برنامه ریزی استوار امکانی برای برنامه ریزی اصلی زنجیره تامین دارو

نوع مقاله: مقاله پژوهشی

نویسندگان

1 دانشجوی کارشناسی ارشد، دانشکده مهندسی صنایع، دانشگاه علم و صنعت ایران، تهران.

2 استادیار دانشکده مهندسی صنایع، دانشگاه علم و صنعت ایران، تهران

چکیده

در فضای رقابتی امروز، تدوین یک برنامه‌ی تاکتیکی مؤثر که قادر به یکپارچه‌سازی برنامه‌های تأمین و توزیع در یک چارچوب کارا ‌شود، امری مهم و ضروری به نظر می‌رسد. در این مقاله یک مدل برنامه‌ریزی اصلی برای زنجیره تأمین دارو شامل چند تأمین‌کننده، یک تولیدکننده و چند مرکز توزیع پیشنهاد شده است. نخست یک مدل برنامه‌ریزی خطی عدد صحیح امکانی چندهدفه به‌منظور کاهش هزینه‌های لجستیک و همچنین افزایش سطح رضایت از انتخاب تأمین‌کنندگان ارائه شده ‌است. سپس به‌واسطه‌ی طبیعت غیرقطعی پارامترهای ورودی چنین مسئله‌ای، یک مدل جدید برنامه‌ریزی امکانی استوار که قدرت تنظیم درجه استواری تصمیمات خروجی در برابر عدم قطعیت پارامترها را دارد، توسعه داده شده است. در پایان از طریق نتایج محاسباتی کارایی مدل پیشنهادی نمایش داده شده و کیفیت بالای عملکرد و کاربردی بودن مدل برنامه‌ریزی امکانی استوار پیشنهادی نمایش داده شده است.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

A Robust Possibilistic Programming Approach to Drug Supply Chain Master Planning

نویسندگان [English]

  • mohadeseh kalantari 1
  • Mir Saman Pishvaee 2
1 Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran.
2 Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
چکیده [English]

The provision of an efficient master plan which is able to integrate the procurement, production and distribution plans is a critical need in the way of achieving the competitive advantage in today’s marketplace. In this paper, a supply chain master planning problem of a drug supply chain is taken into account. The considered drug supply chain includes multiple suppliers, one manufacturer and multiple distribution centers.
In this paper, a multi-objective possibilistic mixed integer linear programming model (MOPMILP) which minimizes the total logistics cost and maximizes the total value of supplier selection aggregate function is developed. It should be noted that both economic and environmental criteria are considered in the supplier selection objective function to support the green and sustainable purchasing approach. Then to cope with the input parameters tainted with high degree of uncertainty, a new effectual robust possibilistic programming (RPP) model is elaborated. The proposed robust possibilistic programming model is able to appropriately adjust the degree of feasibility and optimality robustness of output decisions against business-as-usual uncertainty. Also the proposed robust optimization model can be appropriately applied in the cases in which reliable and sufficient historical data is not available for imprecise parameters (i.e., most of the real-life problems). To show the usefulness and effectiveness of the proposed robust possibilistic programming model numerical and comparative experiments are provided. The numerical results endorse the validity and practicability of the rendered model as well as presenting the efficiency and felicity of the developed approach.

کلیدواژه‌ها [English]

  • drug supply chain
  • Master planning
  • Possibilistic programming
  • Robust possibilistic
  • programming

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