طراحی یک مدل دوهدفه غیرقطعی برای شبکۀ زنجیرۀ تأمین تاب‌آور با درنظرداشتن تأمین‌کننده پشتیبان و جریان‌های مالی و فیزیکی آن

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، گروه مدیریت صنعتی و فناوری اطلاعات، دانشکده مدیریت و حسابداری، دانشگاه شهید بهشتی.

2 استادیار، گروه مدیریت صنعتی و فناوری اطلاعات، دانشکده مدیریت و حسابداری، دانشگاه شهید بهشتی.

3 دانشیار، گروه مدیریت صنعتی و فناوری اطلاعات، دانشکده مدیریت و حسابداری، دانشگاه شهید بهشتی.

چکیده

در شرایط ناپایدار موجود، شبکه‌‌‌های زنجیره ‌‌‌تأمین تحت ‌تأثیر شرایط اختلال است؛ بنابراین در طراحی شبکه‌های زنجیره تأمین باید استراتژی‌‌‌های تاب‌‌‌آوری لحاظ شود؛ اما این رویکرد بار مالی برای شرکت ایجاد می‌‌‌کند. در طراحی شبکه‌‌‌های زنجیره ‌‌‌تأمین تاب‌‌‌آور، تأمین مالی بسیار اهمیت دارد. برای تأمین ‌‌‌بار مالی، علاوه بر سرمایه موجود، می‌‌‌توان از وام‌‌‌های بانکی و اعتبار تجاری استفاده کرد که به بهبود سرمایه در­گردش منجر می‌‌‌شود. بر اساس بررسی مبانی نظری موضوع، بار مالی ایجادشده، به‌دلیل استفاده از استراتژی‌‌‌های تاب‌‌‌آوری، موردتوجه قرار نگرفته است؛ همچنین درنظرگرفتن اعتبار تجاری و زمان‌بندی بازپرداخت اعتبارهای تجاری در تمام سطوح در شبکه‌‌‌ زنجیره ‌‌‌تأمین بررسی نشده است. در این پژوهش سعی شده است خلأهای موجود پوشش داده شود. بدین منظور یک شبکه‌‌‌ زنجیره ‌‌‌تأمین سه‌‌‌سطحی شامل تأمین‌کنندگان اصلی و پشتیبان، کارخانه‌‌‌ و مراکز توزیع، تحت شرایط عدم­‌قطعیت تقاضا طراحی شد. اهداف اصلی پژوهش بیشینه‌‌‌سازی ارزش فعلی خالص و بیشینه‌سازی برآورد تقاضا است. برای حل مدل دوهدفه در این پژوهش از روش برنامه‌‌‌ریزی آرمانی فازی پیشگیرانه و سالور CPLEX استفاده شد. طبق یافته‌های پژوهش، در صورتی تأمین‌‌‌کننده پشتیبان انتخاب می‌‌‌شود که بار مالی آن تأمین شده باشد؛ همچنین اعتبار تجاری بین تمام سطوح به‌طور مؤثر برقرار است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Designing a Bi-Objective Stochastic Model for a Resilient Supply Chain Network taking into Account Support Supplier and Its Financial and Physical Flows

نویسندگان [English]

  • Azar Fathi Heli Abadi 1
  • Abbas Rad 2
  • Alireza Motameni 3
  • Davood Talebi 2
1 Ph.D. Student, Department of Industrial Management and Information Technology, Faculty of Management and Accounting, Shahid Beheshti University.
2 Assistant Professor, Department of Industrial Management and Information Technology, Faculty of Management and Accounting, Shahid Beheshti University.
3 Associate Professor, Department of Industrial Management and Information Technology, Faculty of Management and Accounting, Shahid Beheshti University.
چکیده [English]

In the present unstable business environment, supply chains are considerably impacted by disruptions, necessitating the implementation of resilience strategies. These strategies, however, pose significant financial challenges for companies. Therefore, financing is essential in developing resilient supply chain networks. In addition to utilizing existing capital, options such as bank loans and trade credit can be employed to alleviate the financial burden and enhance working capital.  The present scholarship has failed to address the issue of financial strain resulting from the adoption of resilience strategies. Additionally, the significance of trade credit and repayment scheduling in all levels of the supply chain network also left under-researched. To fill this research gap, this paper proposes a three-tiered supply chain network consisting of main/support suppliers, factories, and distribution centers under uncertain demand conditions. The network is developed to effectively handle demand uncertainty and achieve optimal net present value and demand estimation. To solve the bi-objective model of the study, a preemptive fuzzy ideal programming approach accompanied by the implementation of the CPLEX solver is utilized. The findings lend support to the importance of securing financial support for support suppliers and establishing effective trade credit agreements across all levels of the supply chain.

کلیدواژه‌ها [English]

  • Capital-Constrained Supply Chain؛ Demand Uncertainty؛ Trade Credit
  • Financing؛ Multi-Objective Optimization؛ Resilience

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