برنامه‌ریزی تعاملی فازی برای طراحی مدل ریاضی چند هدفه چند محصولی، چند مرحله‌ای برنامه تولید ادغامی چند دوره‌ای دریک زنجیره تامین معکوس درشرایط عدم قطعیت
محورهای موضوعی : مدیریت صنعتی
اصلان دوستی
1
,
سعید رضایی مقدم
2
1 - گروه ریاضی، واحد امیدیه، دانشگاه آزاد اسلامی، امیدیه، ایران
2 - گروه مدیریت، واحد امیدیه، دانشگاه آزاد اسلامی، امیدیه، ایران
کلید واژه: برنامه ریزی تعاملی فازی, مدل ریاضی چند هدفه, تولید ادغامی زنجیره تامین معکوس, عدم قطعیت,
چکیده مقاله :
در همه سیستم‌ها اعم از تولیدی و خدماتی ضرورت و اهمیت برنامه‌ریزی امری غیر قابل اجتناب است. پژوهش حاضر در صدد طراحی یک مدل ریاضی برنامه تولید ادغامی چند هدفه چند محصولی چند مرحله‌ای و برای چند دوره در یک زنجیره تامین معکوس است. لذا برای حداقل سازی هزینه موجودی، تولید و نیروی انسانی حداقل، حداکثر کیفیت محصول تولیدی و ضریب اهمیت تامین کننده و کمینه سازی بیشترین وقوع عدم اطمینان در هر مرحله از تولید، که سبب تشخیص گلوگاه کاری صنعت مورد نظر شود، یک مدل ریاضی برنامه تولید ادغامی چند هدفه چند محصولی چندمرحله‌ای، برای چند دوره در یک زنجیره تامین معکوس در شرایط عدم قطعیت طراحی شده است. در این مدل ریاضی تابع هدف کیفیت و برخی از پارامترها در محدودیت‌ها در حالت عدم قطعیت به روش اعداد فازی مثلثی ارائه شده‌اند. برای حل مدل مذکور از یک رویکرد حل فازی تعاملی با برنامه نویسی در نرم افزار گمز و با داده‌های واقعی شرکت قطعات بتنی بروجن استحکام، استفاده می‌شود.
In all systems, whether in production or service, the necessity and importance of planning are undeniable. This research aims to develop a mathematical model for a multi-objective, multi-product, multi-stage integrated production program over several periods within a reverse supply chain. The objectives include minimizing inventory, production costs, and manpower while maximizing the quality of the manufactured products and considering the supplier's importance. Additionally, the model seeks to reduce uncertainties at each production stage, which can lead to identifying industry bottlenecks. The proposed mathematical model incorporates a multi-stage, multi-objective, multi-product integration for multiple periods in a reverse supply chain under conditions of uncertainty. In this model, the quality objective function and various parameters are expressed in the constraints using triangular fuzzy numbers to account for uncertainty. To solve this model, an interactive fuzzy solution approach is employed, utilizing Games software and real data from Borojan Teght Concrete Parts Company.
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