چکیده مقاله
Production planning forms the backbone of global economies and supply chains, demanding a delicate balance between cost optimization and customer satisfaction Scheduling material across interconnected production networks presents a complex analytical challenge, highlighting the need for data driven insights to support informed decision making This research proposes an inventory scheduling framework that empowers decision makers to monitor and control key production parameters, mitigating schedule risks and optimizing operational efficiency within the network A sustainable framework of this study is to manage the work center energy consumption during Peak electricity load by prioritizing unit of flow for each work center The inherent uncertainty in inventory scheduling, arising from factors such as work stage shortages and fluctuating order quantities, significantly impacts the ability to fulfill multi product orders on time To address this challenge, the framework incorporates both robust optimization and data driven robust optimization approaches This enables the system to adapt to fluctuations and uncertainties, ensuring operational resilience and achieving reliable fulfillment of multi product orders while minimizing water consumption
کلیدواژهها
نویسندگان
Ali Najaf Najafi
School of Industrial Engineering, Iran University of Science and Technology IUST Tehran, Iran
شیوه ارجاع
Najaf Najafi, Ali,1403,Data-Driven Robust Optimization Model For A Sustainable Inventory Scheduling Framework,The 10th International Conference on Industrial and Systems Engineering,Mashhad
ارائهشده در
مجموعه مقالات دهمین کنفرانس بین المللی مهندسی صنایع و سیستم ها28 شهریور 1403 · مشهد