توسعه مدل برنامه‌ريزي رياضي سيستم توليد سلولي در حالت پويا با در نظر گرفتن برخي از هزينه‌ها

Development of the mathematical model of the cellular manufacturing system in a dynamic state,by considering some of the costs

سيستم توليد سلولي يكي از مهم‌ترين كاربردهاي تكنولوژي گروهي است كه با گروه‌بندي توليد و مديريت قطعات و ماشين‌هايي كه مشخصه مشابه دارند مي‌تواند از توليد دسته‌اي به سمت توليد انبوه حركت كند و درعين‌حال درجه بالاي انعطاف‌پذيري را همچون توليد كارگاهي حفظ نمايد. با توجه به تغييرات سريع تكنولوژي توليد و همچنين وابسته بودن سيستم توليد سلولي به تقاضاي محصول كه اغلب به‌صورت غيرقطعي است، محققين در تحقيقات گذشته مدل‌هاي رياضي براي طراحي چيدمان سيستم توليد سلولي در حالت پويا طراحي كرده‌اند. اهداف اين مدل عبارت‌اند از حداقل سازي هزينه‌هاي توليد و نگهداري محصول و هزينه نگهداري ماشين‌آلات، حداقل سازي زمان ديركرد و زود كرد فعاليت‌ها به‌صورت دوره‌اي. براي حل مدل از نرم‌افزار OPL ILOG استفاده‌شده است.

Cell manufacturing system is one of the most important applications of group technology that, by grouping production and management of parts and machines of the same characteristics, can move from batch production to mass production. At the same time, it a high degree of flexibility as a workshop production maintains . Given the rapid changes in production technology, as well as the dependence of the cell manufacturing system on product demand, which is often uncertain, researchers have designed math models to dynamically formulate cell manufacturing system layout designs. The objectives of the model are minimization of the production costs and maintenance of the product and maintenance cost of machinery, minimizing time and early activities. It is used to solve the model of OPL ILOG software. Cell manufacturing system is one of the most important applications of group technology that, by grouping production and management of parts and machines of the same characteristics, can move from batch production to mass production. At the same time, it a high degree of flexibility as a workshop production maintains . Given the rapid changes in production technology, as well as the dependence of the cell manufacturing system on product demand, which is often uncertain, researchers have designed math models to dynamically formulate cell manufacturing system layout designs. The objectives of the model are minimization of the production costs and maintenance of the product and maintenance cost of machinery, minimizing time and early activities. It is used to solve the model of OPL ILOG software. Cell manufacturing system is one of the most important applications of group technology that, by grouping production and management of parts and machines of the same characteristics, can move from batch production to mass production. At the same time, it a high degree of flexibility as a workshop production maintains . Given the rapid changes in production technology, as well as the dependence of the cell manufacturing system on product demand, which is often uncertain, researchers have designed math models to dynamically formulate cell manufacturing system layout designs. The objectives of the model are minimization of the production costs and maintenance of the product and maintenance cost of machinery, minimizing time and early activities. It is used to solve the model of OPL ILOG software.