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طراحی شبکهی زنجیرهی تأمین پایا برای محصول ماژولار در شرایط عدم قطعیت مطالعهی موردی: پمپهای کرایوژنیک صادرات LPG | ||
مدیریت زنجیره تأمین | ||
دوره 24، شماره 74، خرداد 1401، صفحه 1-22 اصل مقاله (911.37 K) | ||
نوع مقاله: پژوهشی | ||
نویسندگان | ||
علیرضا وهابی1؛ علیرضا حمیدیه* 2 | ||
1کارشناسی ارشد مهندسی صنایع، دانشگاه پیام نور، تهران، ایران | ||
2استادیار گروه مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه پیام نور، تهران، ایران | ||
تاریخ دریافت: 10 آذر 1400، تاریخ بازنگری: 12 فروردین 1401، تاریخ پذیرش: 27 فروردین 1401 | ||
چکیده | ||
امروزه شرکتها با توجه به ویژگیهای اقتصادی تجارت مدرن در مقیاس جهانی و عملیاتهای پیچیده زنجیره تامین سعی دارند به تقاضای مشتریان پاسخ دهند. عدم قطعیت تقاضای جهانی چالش بزرگی است که با وقوع اختلالات تشدید می شود. در این مطالعه، یک مدل برنامه ریزی ریاضی غیرخطی تصادفی فازی چند محصولی برای طراحی شبکه زنجیره تامین پایا با در نظر گرفتن محصول با تکنولوژی تولید ماژولار تحت ریسک اختلال پیشنهاد شده است. همچنین، یک سیستم پشتیبانی تصمیمگیری برای تولید محصول ماژولار طراحی شده. که نقشی عمده در افزایش قابلیت استفاده مجدد محصولات و کاهش ضایعات ایفا می کند. مطالعه موردی بر روی تولید پمپهای کرایوژنیک صادرات LPG تمرکز دارد که از تجهیزات حیاتی در صادرات پروپان و بوتان مایع است. ساختار این شبکه زنجیره تامین شامل سطوح تامینکنندگان ماژولها، مراکز تولید اولیه، مراکز بازرسی، مراکز تعمیر، مراکز بازتولید و مشتریان است. برای مواجه با اختلالات یک رویکرد تصادفی سناریو محور مورد استفاده قرار گرفته و عدم قطعیت پارامتری با رویکرد ترکیبی برنامهریزی امکانی- استوار مدیریت شده است. ارزیابی مدل با رویکرد دقیق در نرم افزار GAMS با حل کننده CPLEX و تجزیه و تحلیل حساسیت بر پارامترهای غیر قطعی انجام شده است. نتایج تحقیق نشان می دهد که رویکرد حاضر ضمن کنترل عدم قطعیت، جریان بهینه تسهیلات را تضمین می کند. | ||
کلیدواژهها | ||
زنجیره تامین پایا؛ محصولات ماژولار؛ عدم قطعیت؛ برنامهریزی تصادفی امکانی استوار | ||
عنوان مقاله [English] | ||
Design of a Reliable Supply Chain Network for Modular Products in Conditions of Uncertainty: A Case Study of LPG Export Cryogenic Pumps | ||
نویسندگان [English] | ||
Alireza vahabi1؛ Alireza Hamidieh2 | ||
1Master student of Payame Noor University of North Tehran | ||
2univ.Payam Noor | ||
چکیده [English] | ||
Nowadays, companies are trying to meet customer demand due to the economic characteristics of modern global business and complex supply chain operations. Global demand uncertainty is a major challenge that is exacerbated by the occurrence of disruptions. In this study, a multi-product fuzzy stochastic nonlinear mathematical programming model is proposed to design a reliable supply chain network considering a product with modular manufacturing technology at the risk of disruption. Also, a decision support system is designed for modular production, which plays a major role in increasing the reusability of products and reducing waste. The case study, focuses on the production of cryogenic pumps used for the export of LPG, which is a critical equipment in the export of liquid propane and butane. The structure of this supply chain network includes levels of module suppliers, primary production centers, inspection centers, repair centers, reproduction centers, and customers. To deal with the disturbances, a scenario-based stochastic approach has been used and parametric uncertainty has been managed with the possibilistic-robust hybrid programming approach. The model evaluation has been performed with a precise approach in GAMS software with CPLEX solver and the sensitivity analysis has addressed the uncertain parameters. The results show that the current approach while controlling the uncertainty, ensures the optimal flow of facilities. | ||
کلیدواژهها [English] | ||
Reliable Supply Chain, Modular Products, Uncertainty, Possibilistic-Robust Stochastic Programming | ||
مراجع | ||
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