چکیده مقاله
This study aimed at examining a three echelon supply chain including manufacturers, warehouses and customers with uncertain demand Following the proposed models, the goal was to minimize all supply chain costs and shortages Stochastic fuzzy scenario based programming in the form of chance constrained was utilized to control and deal with the assumed uncertainty which was considered to manifest itself through customer demand To achieve more flexibility in the supply chain network and due to uncertain demand, immediate assembly in warehouses was applied Furthermore, important supply chain decisions such as warehouse use, production quantities and distribution were examined Subsequently and through solving a numerical example including one manufacturer, three warehouses and seven customers, the performance of the uncertain model was investigated
کلیدواژهها
نویسندگان
Navid Aslani Rad
Department of Industrial Engineering, Ferdowsi University of Mashhad, Iran;
Hossein Neghabi
Department of Industrial Engineering, Ferdowsi University of Mashhad, Iran;
Reza Rahmati
Department of Industrial Engineering, Ferdowsi University of Mashhad, Iran;
شیوه ارجاع
Aslani Rad, Navid and Neghabi, Hossein and Rahmati, Reza,1400,A fuzzy stochastic immediate assembly supply chain with uncertain demand,Seventh International Conference on Industrial and Systems Engineering,Mashhad
ارائهشده در
مجموعه مقالات هفتمین کنفرانس بین المللی مهندسی صنایع و سیستم ها17 شهریور 1400 · مشهد