次加性
计算机科学
启发式
质量(理念)
过程(计算)
取舍
生产(经济)
运筹学
比例(比率)
数学优化
微观经济学
经济
数学
人工智能
哲学
统计
物理
认识论
离散数学
量子力学
操作系统
作者
Ignacio Erazo,Alejandro Toriello
出处
期刊:Operations Research
[Institute for Operations Research and the Management Sciences]
日期:2025-01-31
标识
DOI:10.1287/opre.2022.0327
摘要
Trading off Waiting and Batching Many modern logistics and production systems face an inherent tension between the need to dispatch or process orders or jobs as quickly as possible and the economies of scale obtained by batching. In “Optimizing the Trade-off Between Batching and Waiting: Subadditive Dispatching,” Ignacio Erazo and Alejandro Toriello propose a model that captures this tension, study various methods to optimize it or generate high-quality heuristic solutions, and assess the methods’ computational performance.
科研通智能强力驱动
Strongly Powered by AbleSci AI