Developing a Production Scheduling System for Modular Factory Using Constraint Programming

被引:1
作者
Park, Hoonseok [1 ]
Um, Jumyung [1 ]
Jung, Jae-Yoon [1 ]
Ruskowski, Martin [2 ]
机构
[1] Kyung Hee Univ, Dept Ind & Management Syst Engn, 1732 Deogyeong Daero, Yongin, Gyeonggi Do, South Korea
[2] German Res Ctr Artificial Intelligence DFKI GmbH, IFS Innovat Factory Syst, Trippstadter Str 122, D-67663 Kaiserslautern, Germany
来源
ADVANCES IN SERVICE AND INDUSTRIAL ROBOTICS | 2020年 / 980卷
基金
欧盟地平线“2020”;
关键词
Smart factory; Flexible manufacturing; Production scheduling; Hybrid flow shop; Constraint programming;
D O I
10.1007/978-3-030-19648-6_15
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a production scheduling system that optimizes operations of a modular factory. The proposed system consists of a database, a scheduling optimizer and an interface connecting two other components. A scheduling model for optimal schedules plays a key role in the scheduling system. In this research, we aim to develop the scheduling model using constraint programming, and design a data mart storing the related operational data. In particular, we set the modular factory environment to the hybrid flow shop and apply the constraint programming for scheduling. We provide a case study to test the performance of the proposed scheduling model with the synthesized dataset based on a modular factory environment in SmartFactory(KL).
引用
收藏
页码:126 / 133
页数:8
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