Toward Data-Driven and Multi-Scale Modeling for Material Flow Simulation: Characteristic Analysis of Modeling Methods

IF 2.9 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Satoshi Nagahara, Toshiya Kaihara, Nobutada Fujii, Daisuke Kokuryo
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引用次数: 0

Abstract

Material flow simulation is a powerful tool to realize efficient operations in complicated production systems such as high-mix and low-volume production. Nevertheless, great effort and expertise ar...
材料流动模拟的数据驱动和多尺度建模:建模方法特征分析
物料流模拟是实现复杂生产系统(如多品种、小批量生产)高效运行的有力工具。尽管如此,仍需要大量的努力和专业知识。
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来源期刊
Applied Artificial Intelligence
Applied Artificial Intelligence 工程技术-工程:电子与电气
CiteScore
5.20
自引率
3.60%
发文量
106
审稿时长
6 months
期刊介绍: Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.
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