.png){kind=icon}
返回
Network modeling and evolutionary optimization for scheduling in manufacturing
.png){kind=icon}
PRE
AI
DOI：10.1007/s10845-011-0569-6.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Scheduling is one of the most important fields in Advanced Planning and Scheduling or a manufacturing optimization. In this paper, we propose a network modeling technique to formulate the complex scheduling problems in manufacturing, and focus on how to model the scheduling problems to mathematical formulation. We propose a multi-section evolutionary algorithm for the scheduling models formulated by network modeling. Through a combination of the network modeling and this multi-section evolutionary algorithm, we can implement the auto-scheduling in the manufacturing system. The effectiveness and efficiency of proposed approach are investigated with various scales of scheduling problems by comparing with recent related researches. Lastly, we introduced service-oriented evolutionary computation architecture software. It help improved the evolutionary computation's availability in the variable practical scheduling in manufacturing.
Keyword:
Evolutionary algorithm (EA)
Advanced planning and scheduling (APS)
Network modeling
Manufacturing optimization
Service-oriented architecture
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.4
论文数:
3.5K
被引数:
1.1W
机构
引用论文
.png){kind=icon}
分享收藏Einfaches Glättungsverfahren zur Entschmierung der Röntgenkleinwinkelstreukurven von Hochpolymeren
PREAI
分享收藏分享收藏A symbiotic evolutionary algorithm for the integration of process planning and job shop scheduling
PREAI
分享收藏Validity and sensitivity to change of the Patient Specific Functional Scale used during rehabilitation following proximal humeral fracture肱骨近端骨折后康复期间使用的患者特定功能量表变化的有效性和敏感性
PREAI
分享收藏
查看更多内容