رویکرد برنامه‌ریزی فازی استوار جدید به‌منظور طراحی شبکه زنجیره تأمین حلقه بسته

نوع مقاله : مقاله علمی پژوهشی

نویسندگان

1 دانشجوی دکتری، گروه مدیریت تولید و عملیات، دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبائی، تهران، ایران.

2 استاد، گروه مدیریت صنعتی، دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبائی، تهران، ایران.

3 دانشیار گروه مهندسی صنایع دانشکده مهندسی صنایع، دانشگاه علم و صنعت، تهران، ایران

چکیده

هدف: هدف این پژوهش طراحی شبکه زنجیره تأمین حلقه بسته با در نظر گرفتن عدم قطعیت‌های ترکیبی و انعطاف‌پذیری در محدودیت‌هاست.
روش: در این مطالعه به‌منظور درنظرگرفتن هم‌زمان عدم قطعیت‌های شناختی و تصادفی و انعطاف‌پذیری در محدودیت‌ها، مدل جدیدی از برنامه‌ریزی انعطاف‌پذیر امکانی تصادفی استوار، بر اساس اندازه‌گیری Me توسعه داده شده است.
یافته‌ها: در رویکرد پیشنهادی، ترکیب محدبی از طیف خوش‌بینانه و بدبینانه در مدل در نظر گرفته شده و نیاز به بررسی‌های ذهنی و تکراری تصمیم‌گیران، در مدل رفع شده است؛ به‌طوری که سطح رضایت به‌صورت بهینه با حل مسئله تعیین می‌شود. از طرفی، به‌دلیل استواری مدل، انحراف‌های امکانی و سناریویی، عدم تحقق تقاضا و ظرفیت و نقض محدودیت‌های نرم در مدل حداقل شد.
نتیجه‌گیری: به‌منظور ارزیابی کارایی مدل پیشنهادی، مطالعه‌ای موردی در زنجیره تأمین تولید کاغذسنگی انجام شد. نتایج تحلیل حساسیت، تحلیل استواری و شبیه‌سازی با مدل تحقق نشان داد که مدل پیشنهادی قادر است راه‌حل‌های استوار و واقع‌بینانه پیشنهاد کند. پیشنهاد حل واقع‌بینانه و انعطاف‌پذیر مسائل طراحی شبکه زنجیره تأمین، از طریق ایجاد تبادل بین تابع هدف و سطح ریسک‌پذیری تصمیم‌گیران و مدیران، از طریق تغییر فضای موجه در معیار Me در رویکرد پیشنهادی، از دستاوردهای مطالعه حاضر بود.

کلیدواژه‌ها

عنوان مقاله [English]

A Novel Robust Fuzzy Programming Approach for Closed-loop Supply Chain Network Design

نویسندگان [English]

  • Seyyed Jalaladdin Hosseini Dehshiri 1
  • Maghsoud Amiri 2
  • Laya Olfat 2
  • Mir Saman Pishvaee 3
1 Ph.D. Candidate, Department of Operation and Production Management, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran.
2 Prof., Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran.
3 Associate Prof., Department of Industrial Engineering, Faculty of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran.
چکیده [English]

Objective: Attention to environmental issues in supply chain activities has been taken into consideration due to the increase in public awareness and strict laws related to environmental protection. Initially, only the economic aspects of the supply chain were considered in the network configuration, but with increasing concerns about environmental issues, reverse logistics and closed-loop supply chains were developed. Designing a closed-loop supply chain network plays an important role in reducing costs, improving service levels, and responding to environmental issues. Therefore, the purpose of this study is to design a closed-loop supply chain network taking into account hybrid uncertainties and flexibility in constraints.
Methods: In most of the conducted studies about supply chain network design, the types of cognitive and random uncertainties, as well as the flexibility of soft constraints, have not been investigated simultaneously, while the conducted modeling is not able to consider hybrid uncertainty in supply chain parameters in the real world. In this study, to simultaneously consider the hybrid uncertainties and flexibility in constraints, a novel model of robust stochastic, possibilistic, and flexible programming based on Me measurement was developed. In this model, the convex combination of optimistic and pessimistic attitudes of decision-makers was considered in the form of the Me measure, and the modeling was more flexible and realistic.
Results: In the proposed approach, a convex combination of optimistic and pessimistic spectra was considered in the model. The need for subjective and repetitive reviews by decision-makers was eliminated in the model and the level of satisfaction was calculated optimally after solving the problem. On the other hand, due to the robustness of the model, possible deviations, scenario deviations, non-fulfillment of demand and capacity, and deviations of soft constraints were minimized. In the proposed approach based on the Me measure, the problem-solving approach was reduced and there was no need for a two-step solution to find solutions.
Conclusion: A case study was conducted in the supply chain of stone paper production to evaluate the efficiency of the proposed model. The results of sensitivity analysis, robustness analysis, and simulation with the realization model showed that the proposed model was able to provide robust and realistic solutions. The proposal of a realistic and flexible solution for designing problems of the supply chain network by creating a trade-off between the objective function and the risk-taking level of decision-makers and managers through changing the justified space in the Me criterion in the proposed approach was one of the achievements of the present study. As its other achievement, the present study could provide a combination of different viewpoints of decision-makers’ risk-taking through changing the justified space based on different values of the parameter λ in measuring Me and propose flexible and realistic solutions according to the results of numerical simulation in the proposed approach.

کلیدواژه‌ها [English]

  • Closed-loop supply chain network design
  • Flexible programming
  • Possibilistic programming
  • Stochastic programming
  • Robust optimization

مراجع

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امیری، مقصود؛ حسینی دهشیری، سیدجلال‌الدین و یوسفی هنومرور، احمد (1397). تعیین ترکیب بهینه استراتژی‌های زنجیره تأمین لارج با بهره‌گیری از تحلیل SWOT، تکنیک‌های تصمیم‌گیری چند معیاره و تئوری بازی. مدیریت صنعتی، 10(2)، 221-246.‎
حسینی دهشیری، سید جلال‌الدین؛ امیری، مقصود؛ الفت، لعیا و پیشوایی، میرسامان (1401). طراحی شبکه زنجیره تأمین حلقه‌ بسته کاغذسنگی با استفاده از برنامه‌ریزی محدودیت شانس انعطاف‌پذیر امکانی تصادفی استوار. چشم‌انداز مدیریت صنعتی،12(1)، 45-81.‎
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مؤمنی، منصور و زرشکی، نیما (1400). مدل‌سازی زنجیره تأمین حلقه بسته با به‏کارگیری از سناریوها در مواجهه با عدم قطعیت در کمیت و کیفیت برگشتی‌ها. مدیریت صنعتی، 13(1)، 105-130.‎
 
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مدیریت صنعتی
دوره 14، شماره 3
1401
صفحه 421-457

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