通过实时定位系统监控物流流程效率的目标导向聚类算法

IF 3.7 3区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Francesco Pilati, Andrea Sbaragli, Tamás Ruppert, János Abonyi
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引用次数: 0

摘要

从供应链中断到市场产品的大规模定制,现代内部物流系统面临着诸多挑战。在这种高度动态的情况下,物联网技术...
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Goal-oriented clustering algorithm to monitor the efficiency of logistic processes through real-time locating systems
Modern internal logistic systems face several challenges, from supply chain disruption to mass customization of marketed products. In such a highly dynamic scenario, Internet of Things technologies...
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来源期刊
CiteScore
9.00
自引率
9.80%
发文量
73
审稿时长
10 months
期刊介绍: International Journal of Computer Integrated Manufacturing (IJCIM) reports new research in theory and applications of computer integrated manufacturing. The scope spans mechanical and manufacturing engineering, software and computer engineering as well as automation and control engineering with a particular focus on today’s data driven manufacturing. Terms such as industry 4.0, intelligent manufacturing, digital manufacturing and cyber-physical manufacturing systems are now used to identify the area of knowledge that IJCIM has supported and shaped in its history of more than 30 years. IJCIM continues to grow and has become a key forum for academics and industrial researchers to exchange information and ideas. In response to this interest, IJCIM is now published monthly, enabling the editors to target topical special issues; topics as diverse as digital twins, transdisciplinary engineering, cloud manufacturing, deep learning for manufacturing, service-oriented architectures, dematerialized manufacturing systems, wireless manufacturing and digital enterprise technologies to name a few.
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