Resource-controlled stochastic customer order scheduling via particle swarm optimization with bound information

• Main Authors: Zhao, Yaping, Kong, Xiangtianrui, Xu, Xiaoyun, Xu, Endong
• 格式: text
• 出版: Archīum Ateneo 2022
• 主題: Bound information; Particle swarm optimization; Resource-controlled scheduling; Stochastic customer order; Unrelated parallel machine; Business; Business Administration, Management, and Operations; Technology and Innovation
• 在線閱讀: https://archium.ateneo.edu/gsb-pubs/76; https://doi.org/10.1108/IMDS-02-2022-0105
• 機構: Ateneo De Manila University

Purpose: Cycle time reduction is important for order fulling process but often subject to resource constraints. This study considers an unrelated parallel machine environment where orders with random demands arrive dynamically. Processing speeds are controlled by resource allocation and subject to d...