طراحی مدل زنجیره تأمین چند محصولی باوجود اختلال در تأمین‌کننده با رویکرد بهینه‌سازی ریاضی استوار در صنایع تعمیراتی پالایشگاهی
محورهای موضوعی : مدیریت صنعتی
امیر رحیمی منش
1
(دانشجوی دکتری مدیریت صنعتی، دانشکده مدیریت و حسابداری، واحد رشت، دانشگاه آزاد اسلامی، رشت، ایران)
حمزه امین طهماسبی
2
(دانشیار، گروه مهندسی صنایع، دانشکده فنی و مهندسی شرق، دانشگاه گیلان، رودسر، ایران)
کامبیز شاهرودی
3
(دانشیار، دانشکده مدیریت و حسابداری، واحد رشت، دانشگاه آزاد اسلامی، رشت، ایران)
کلید واژه: زنجیره تامین, بهینه سازی ریاضی استوار, اختلال, مدل دو مرحله تصادفی, تقریب میانگین نمونه&rlm, گیری,
چکیده مقاله :
مسئله طراحی شبکه زنجیره تأمین شامل تصمیمات استراتژیکی است که بر پیکربندی و تصمیمات تاکتیکی و عملیاتی تأثیر بسزایی دارد. هدف از این پژوهش ارائه مدل زنجیره تأمین چند محصولی باوجود اختلال در تأمین‌کننده با رویکرد بهینه‌سازی ریاضی استوار است. در راستای مدیریت زنجیره تأمین چند محصولی، نیاز به تأمین اقلام و مواد اولیه جهت استفاده در فرآیندها وجود دارد و تأمین این اقلام با عدم قطعیت مواجه است به‌گونه‌ای که ممکن است تأمین‌کنندگان، بخشی از تقاضای سفارش داده‌شده را در زمان موردنیاز در اختیار سفارشدهنده قرار ندهند. به‌منظور مقابله با این شکل از عدم قطعیت، دو نوع تأمین‌کننده موردنظر است. دسته اول تأمینکنندههای ارزان‌قیمت ولی غیرمطمئن است و در مقابل، دسته دوم تأمین‌کننده‌ها وجود دارند که مطمئن هستند ولی گران‌تر از دسته اول میباشند. اقلام دریافتی از تأمین‌کننده‌ها، در فرآیند تولید یا تعمیرات مورداستفاده قرار میگیرد و مدلی مدون برای مدیریت این فرآیند میبایست ارائه گردد. جهت ادغام این تصمیمات در قالب مدل یکپارچه، در مقالات پیشین، مدل تصمیمگیری دومرحله‌ای تصادفی بکار رفته است و در حل مسئله پیشنهادی از روش تقریب میانگین نمونهگیری استفاده‌شده است. در این پژوهش با توجه به وابستگی مدل دومرحله‌ای تصادفی به پارامترهای غیرقطعی (یا بدترین سناریو) و همین‌طور ضرورت شدنی بودن مدل برای بدترین سناریو، مدل ریاضی استوار توسعه‌یافته برای مدل دومرحله‌ای تصادفی ارائه گردیده است. درنهایت مدل استوار به تصمیمگیرنده فرصت می¬دهد تا پارامترها را با توجه به درجه اهمیت هرکدام از اجزا انتخاب کند.
The supply chain network design problem includes strategic decisions that significantly impact tactical and operational configurations and decisions. The purpose of this research is to provide a multi-product supply chain model that addresses supplier disruptions through a mathematical optimization approach. In line with multi-product supply chain management, there is a need to supply items and raw materials for use in processes, and the supply of these items is subject to uncertainty. Specifically, suppliers may not provide part of the ordered demand to the customer at the required time. To address this uncertainty, two types of suppliers are considered. The first category consists of cheap but unreliable suppliers, while the second category includes reliable suppliers who are more expensive than the first. Items received from suppliers are used in the production or repair process, and a documented model should be provided to manage this process. To integrate these decisions into a cohesive model, previous articles have utilized a random two-stage decision-making model, employing the sampling average approximation method to solve the proposed problem. In this research, due to the dependence of the random two-stage model on non-deterministic parameters (or the worst-case scenario), a robust mathematical model has been developed for the two-stage random model. Finally, the stable model provides the decision-maker with the opportunity to choose the parameters according to the degree of importance of each component.
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