ارائه یک مدل ریاضی برای طراحی شبکه زنجیره تامین با در نظر داشتن اعتبار تجاری تحت شرایط عدم قطعیت

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، گروه مدیریت صنعتی و فناوری اطلاعات، دانشکده میریت و حسابداری، دانشگاه شهید بهشتی، تهران، ایران

2 استادیار، گروه مدیریت صنعتی و فناوری اطلاعات، دانشکده میریت و حسابداری، دانشگاه شهید بهشتی، تهران، ایران

3 دانشیار، گروه مدیریت صنعتی و فناوری اطلاعات، دانشکده میریت و حسابداری، دانشگاه شهید بهشتی، تهران، ایران

چکیده

تأمین منابع مالی برای بقای هر کسب‌وکاری ضرورت دارد. در شبکه‌های زنجیره‌تامین علاوه بر سرمایه اولیه، وام‌های بانکی و تخصیص اعتبار تجاری در تامین مالی نقش دارند. در شرایط عدم قطعیت که امروزه جهانی شده است شبکه‌های زنجیره‌تامین همواره تحت تاثیر اختلال مالی قرار می‌گیرند لذا طراحی شبکه‌های زنجیره‌تأمین با در نظر گرفتن جریان‌های مالی منجر به بهبود سرمایه درگردش می‌شود. در این پژوهش شبکه زنجیره‌تأمین با در نظر گرفتن اعتبار تجاری طراحی و توسعه داده شده است که وجه تمایز این پژوهش در نظر داشتن اعتبار تجاری در تمامی سطوح در یک شبکه‌ زنجیره‌تامین سه سطحی شامل تامین‌کنندگان، کارخانه‌ و مراکز توزیع می-باشد. علاوه بر این در نظر گرفتن زمانبندی برای باز پرداخت اعتبارهای تجاری دریافت شده توسط کارخانه‌ها و مراکز توزیع در شرایط عدم قطعیت دیگر چالش این پژوهش می‌باشد. با توجه به عدم قطعیت تقاضا، برنامه-ریزی‌های زنجیره‌تأمین باید به گونه‌ای انجام شود که منابع مالی لازم برای انجام عملیات تولیدی در آن لحاظ شود در این راستا تقاضا در مدل تحت عدم قطعیت سناریو محور در نظر گرفته شده است که بیشینه‌سازی ارزش فعلی خالص و بیشینه سازی برآورد تقاضا از اهداف اصلی آن می‌باشد. برای حل مدل در ابعاد کوچک از سالور CPLEX و در ابعاد بالا از الگوریتم‌های فراابتکاری چند هدفه کلونی زنبور عسل و نهنگ استفاده شد. نتایج نشان می‌دهد چگونه اعتبار تجاری بر روی جریان فیزیکی تاثیر می‌گذارد؛ همچنین الگوریتم فراابتکاری نهنگ عملکرد بهتری دارد.

کلیدواژه‌ها

عنوان مقاله [English]

Presenting a mathematical model for supply chain network design considering trade credit under uncertainty

نویسندگان [English]

  • Azar Fathiheliabadi 1
  • abbas raad 2
  • Alireza Motameni 3
  • Davood Talebi 2
1 PhD student, Department of Industrial Management and Information Technology, Faculty of Mirit and Accounting, Shahid Beheshti University, Tehran, Iran
2 Assistant Professor, Department of Industrial Management and Information Technology, Faculty of Management and Accounting, Shahid Beheshti University, Tehran, Iran
3 Associate Professor, Department of Industrial Management and Information Technology, Faculty of Management and Accounting, Shahid Beheshti University, Tehran, Iran
چکیده [English]

Providing financial resources is necessary for the survival of any business. In supply chain networks, bank loans and commercial credits play a crucial role in financing. Supply chain networks are always affected by financial disturbances under uncertainty condition, therefore, the design of supply chain networks considering financial flows leads to the improvement of working capital. In this research, the supply chain network is designed and developed considering commercial credibility. Considering commercial credit at all levels in a three-level supply chain network including suppliers, factories and distribution centers can be stated as the main contribution of this study. In addition, considering the timing for the repayment of commercial credits by the factories and distribution centers in uncertainty conditions is another challenge of the present research. Due to the uncertainty of demand, supply chain planning should be done in such a way that the necessary financial resources for the production operations are incorporated. In this regard, the demand is considered under scenario-based uncertainty in the proposed model in which the maximization of the net present value as well as the demand estimate are the main objectives. The CPLEX solver was used for solving the model in small-sized instances and the Bee Colony and Wale multi-objective metaheuristic algorithms were used for solving the large-sized problems. The results show how commercial credit affects physical flow. Also, the Wale metaheuristic algorithm has a better performance than the other algorithm.

کلیدواژه‌ها [English]

  • Supply chain, uncertainty
  • trade credit
  • financing
  • multi-objective optimization

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پژوهش های نوین در تصمیم گیری
دوره 8، شماره 2
تیر 1402
صفحه 98-121

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