بهینه‌سازی جریان وجوه نقد در زنجیره تأمین دارو: رویکرد ریسک تأمین

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار، دانشگاه قم.

2 دانش‌آموخته کارشناسی ارشد، دانشگاه قم.

چکیده

مدیریت جریان وجوه نقد از اهمیت روزافزونی در زنجیره‌های تأمین برخوردار است. در پژوهش حاضر این جریان در زنجیره تأمین دارو و از منظر یک شرکت پخش بهینه می­شود. در این زنجیره، شرکت پخش داروهای دریافتی از تأمین‌کنندگان بالادست را به خرده‌فروشی‌های پایین‌دست می‌فروشد و با پول دریافتی از آن‌ها صورت‌حساب‌های تأمین‌کنندگان را تسویه می‌کند. ناهماهنگی بین جریان‌های ورودی و خروجی وجوه نقد، علاوه بر تحمیل جریمه دیرکرد، به سوء­شهرت در بازار و در نتیجه عدم­تأمین مطلوب اقلام دارویی توسط تأمین‌کنندگان منجر می‌شود. در این شرایط، این پرسش مطرح می‌شود که با چه توالی پرداختی می‌توان ضمن یافتن ارزان‌ترین روش تسویه صورت‌حساب‌ها، ریسک تأمین ناشی از سوء‌شهرت را به حداقل رساند. برای پاسخ به این پرسش، مدل برنامه‌‌ریزی خطی صفر‌­و‌­‌‌یک دو­‌هدفه‌ای صورت‌بندی شد. حل مدل توسط الگوریتم ژنتیک ضمن تعیین بهترین توالی پرداخت صورت‌حساب‌ها، جریان مالی خروجی و ریسک ناشی از نقض موعد پرداخت صورت‌حساب‌ها را کمینه کرد.

کلیدواژه‌ها

عنوان مقاله [English]

Cash flow Optimization in Medicine Supply Chain: A Supply Risk Approa

نویسندگان [English]

  • Rahim Foukerdi 1
  • Zenab Talavari 2
1 Assistant Professor, University of Qom.
2 Master, University of Qom.
چکیده [English]

Despite the increasing importance of cash flow management in the financial supply chain, limited works have been conducted in this field. This research optimizes the flow of money in the medical supply chain from the viewpoint of a distribution company. In this context, the focal company receives the medical supplies from the upstream suppliers and sells them to the downstream retailers and makes payments to suppliers with earned money from retailers. The imbalance between the cash inflow and outflow causes the imposition of a penalty for late-payments and supply risk as a result of the poor reputation in the market. In this context, the question is which payment sequence will minimize the total monetary outflows and the risk of supply. To answer this question, a bi-objective 0-1 linear programming model was developed. Solving the model by genetic algorithm determined the best sequence of payments and minimized the cash outflow as well as the risk of violation of the due date for the invoices.

کلیدواژه‌ها [English]

  • Genetic Algorithm
  • Cash Flow
  • Medicine Supply Chain
  • Financial Supply Chain
  • Mathematical Model Building

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چشم‌انداز مدیریت صنعتی
دوره 11، شماره 1 - شماره پیاپی 41
فروردین 1400
صفحه 117-145

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