A Systematic Procurement Supply Chain Optimization Technique Based on Industrial Internet of Things and Application
Author:
Affiliation:
1. School of Automation, Central South University, Changsha, China
2. School of Electronics and Computer Science, University of Southampton, Southampton, U.K.
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Shandong Key Laboratory of Industrial Control Technology
Fundamental Research Funds for the Central Universities of Central South University
111 Project, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/10094209/09983543.pdf?arnumber=9983543
Reference68 articles.
1. Forecasting copper price by application of robust artificial intelligence techniques
2. Variational Mode Decomposition
3. Forecasting copper prices by decision tree learning
4. Cloud-Edge Collaborative Method for Industrial Process Monitoring Based on Error-Triggered Dictionary Learning
5. A bat optimized neural network and wavelet transform approach for short-term price forecasting
Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A double-layer Q-learning driven memetic algorithm for integrated scheduling of procurement, production and maintenance with distributed resources;Applied Soft Computing;2024-11
2. The enabling technologies for digitalization in the chemical process industry;Digital Chemical Engineering;2024-09
3. A review on unsupervised learning algorithms and applications in supply chain management;International Journal of Production Research;2024-08-19
4. Balancing Data Acquisition Benefits and Ordering Costs for Predictive Supplier Selection and Order Allocation;Applied Sciences;2024-05-19
5. Multiscale Feature Fusion and Semi-Supervised Temporal-Spatial Learning for Performance Monitoring in the Flotation Industrial Process;IEEE Transactions on Cybernetics;2024-02
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3