رویکرد برنامه ریزی فازی استوار جدید به منظور طراحی شبکه زنجیره تأمین حلقه بسته (مقاله علمی وزارت علوم)
درجه علمی: نشریه علمی (وزارت علوم)
آرشیو
چکیده
هدف: هدف این پژوهش طراحی شبکه زنجیره تأمین حلقه بسته با در نظر گرفتن عدم قطعیت های ترکیبی و انعطاف پذیری در محدودیت هاست. روش: در این مطالعه به منظور درنظرگرفتن هم زمان عدم قطعیت های شناختی و تصادفی و انعطاف پذیری در محدودیت ها، مدل جدیدی از برنامه ریزی انعطاف پذیر امکانی تصادفی استوار، بر اساس اندازه گیری Me توسعه داده شده است. یافته ها: در رویکرد پیشنهادی، ترکیب محدبی از طیف خوش بینانه و بدبینانه در مدل در نظر گرفته شده و نیاز به بررسی های ذهنی و تکراری تصمیم گیران، در مدل رفع شده است؛ به طوری که سطح رضایت به صورت بهینه با حل مسئله تعیین می شود. از طرفی، به دلیل استواری مدل، انحراف های امکانی و سناریویی، عدم تحقق تقاضا و ظرفیت و نقض محدودیت های نرم در مدل حداقل شد. نتیجه گیری: به منظور ارزیابی کارایی مدل پیشنهادی، مطالعه ای موردی در زنجیره تأمین تولید کاغذسنگی انجام شد. نتایج تحلیل حساسیت، تحلیل استواری و شبیه سازی با مدل تحقق نشان داد که مدل پیشنهادی قادر است راه حل های استوار و واقع بینانه پیشنهاد کند. پیشنهاد حل واقع بینانه و انعطاف پذیر مسائل طراحی شبکه زنجیره تأمین، از طریق ایجاد تبادل بین تابع هدف و سطح ریسک پذیری تصمیم گیران و مدیران، از طریق تغییر فضای موجه در معیار Me در رویکرد پیشنهادی، از دستاوردهای مطالعه حاضر بود.A Novel Robust Fuzzy Programming Approach for Closed-loop Supply Chain Network Design
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.
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