STRATEGY: A Flexible Job-Shop Scheduling System for Large-Scale Complex Products

被引:0
|
作者
Liang, Zhiyu [1 ]
Wang, Hongzhi [1 ]
Yang, Jijia [1 ]
机构
[1] Harbin Inst Technol, Harbin, Peoples R China
关键词
Scheduling system; Big data; Genetic algorithm;
D O I
10.1007/978-3-030-59419-0_53
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Production scheduling plays an important role in manufacturing. With the rapid growth in product quantity and diversity, scheduling manually becomes increasingly difficult and inefficient. This attracts many researchers to develop systems and algorithms for automatic scheduling. However, existing solutions focus on standard flexible job-shop scheduling problem (FJSP) which requires the operations of each job to be totally ordered, while in reality they are usually partially sequential, resulting in a more general and complicated problem. To tackle this problem, we develop STRATEGY, a light-weight scheduling system with strong generality. In this paper, we describe the main features and key techniques of our system, and present the scenarios to be demonstrated.
引用
收藏
页码:766 / 770
页数:5
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