智能化粮库的设计

本文从功能上介绍智能化粮库建设的主要内容,为智能化粮库建设提供参考。     

哥斯达黎加科技政策与科技发展

1986年哥斯达黎加成立了科学技术部（MICIT）,以统一协调及管理全国科技活动。2008年研发投入达到1．18亿美元,占国内生产总值的0．4％,全国从事科技活动人员达到18383人。国家信息基础设施不断完善,国家数字签名系统研发成功并投入使用,全国智能社区网络建设成效显著。     

智能化管理方法在茶叶企业信息化管理中的运用分析

随着互联网技术的不断创新和改进,信息化技术被广泛应用到了茶叶企业内。茶叶行业有着百年的发展历史,目前正处于发展环节,因为传统茶叶加工方式有着一定的复杂性和繁琐性特征,因此要想达到智能化管理的目的,还有着诸多的难度。本文以智能化管理方式为主,重点论述了在茶叶企业信息化管理期间对智能化管理的应用情况。     

Internet-of-things enabled supply chain planning and coordination with big data services: Certain theoretic implications

Recent advances in information technology have led to profound changes in global manufacturing. This study focuses on the theoretical and practical challenges and opportunities arising from the Internet of Things (IoT) as it enables new ways of supply-chain operations partially based on big-data analytics and changes in the nature of industries. We intend to reveal the acting principle of the IoT and its implications for big-data analytics on the supply chain operational performance, particularly with regard to dynamics of operational coordination and optimization for supply chains by leveraging big data obtained from smart connected products (SCPs), and the governance mechanism of big-data sharing. Building on literature closely related to our focal topic, we analyze and deduce the substantial influence of disruptive technologies and emerging business models including the IoT, big data analytics and SCPs on many aspects of supply chains, such as consumers value judgment, products development, resources allocation, operations optimization, revenue management and network governance. Furthermore, we propose several research directions and corresponding research schemes in the new situations. This study aims to promote future researches in the field of big data-driven supply chain management with the IoT, help firms improve data-driven operational decisions, and provide government a reference to advance and regulate the development of the IoT and big data industry.     

双元驱动下智能制造发展路径——基于本土制造企业的多案例研究

智能制造通过数字化集成对制造资源进行优化以满足用户个性化需求，是我国制造业克服“低端锁定”、实现产业升级的重要途径。以海尔、华为、吉利3家本土制造企业为研究对象，应用扎根理论进行多案例分析，构建“驱动-转变-绩效”的智能制造发展机理模型，明确智能制造从起步到“生态化”不同阶段特征。研究结果表明：技术与服务的双元驱动引发企业运行机制转变进而形成智能制造绩效，制造过程变革与资源集成、服务拓展与理念更新促进智能制造转变，智能制造不同阶段在方向、作用条件、关键环节方面存在明显差异。     

Using structural topic modelling to predict users’ sentiment towards intelligent personal agents. An application for Amazon’s echo and Google Home

Despite growing levels of usage of Intelligent Personal Assistants (hereinafter, IPA), their in-home usage has not been studied in depth by scholars. To increase our understanding of user interactions with IPA, our research created a theoretical framework rooted in technology acceptance models and Uses and Gratification Theory. Our empirical method designs an ambitious analysis of natural and non-structured narratives (user-generated content) on Amazon’s Echo and Google Home. And to identify key aspects that differentially influence the evaluation of IPA our method employs machine-learning algorithms based on text summarisation, structural topic modelling and cluster analysis, sentiment analysis, and XGBoost regression, among other approaches. Our results reveal that (hedonic and utilitarian) benefits gratification, social influence and facilitating conditions have a direct impact on the users’ sentiment for IPA. To sum up, designers and managers should recognise the challenge of increasing the customer satisfaction of current and potential users by adjusting doubtful users’ technical skills and the (hedonic, cognitive, and social) benefits and functionalities of IPA to avoid boredom after a short lapse of time. Finally, the discussion section outlines future lines of research and theoretical and managerial implications.     

质量管理实践、吸收能力与创新绩效——基于船舶企业智能制造视角

质量管理与创新绩效研究广受关注,却鲜有文献关注智能制造转型升级阶段两者之间的关系。引入吸收能力作为中介调节变量,将质量管理实践划分为基础和核心质量管理实践两个维度,并基于实际吸收能力和潜在吸收能力的调节作用,构建新的理论框架。在智能制造视角下,以192家中国船舶企业为例,应用SPSS统计软件,采用回归分析与实证分析方法,研究吸收能力对质量管理实践与创新绩效的影响。结果表明,智能制造背景下,基础质量管理实践和核心质量管理实践对创新绩效正向影响显著;实际吸收能力分别在基础质量管理实践、核心质量管理实践与创新绩效之间具有部分中介效应;潜在吸收能力在基础质量管理实践与创新绩效之间具有显著正向调节效应,但在核心质量管理实践与创新绩效之间起显著反向调节作用。     

智能生产与服务网络条件下产业创新平台战略地图研究

智能生产与服务网络条件下产业创新平台研究随着"工业4.0"和"互联网+"的发展而兴起,确定平台未来发展战略是亟待解决的问题。基于平台存在形式,研究其特征、运行机制;基于利益相关者、平台内部运行流程、学习和成长、财务目标4个维度,绘制完整的平台战略地图;从运营风险、资产损伤风险、竞争风险、商誉风险4个层面,研究平台潜在战略风险,并找出与之对应的风险来源和失误环节。为尽可能规避平台战略风险,设计了评价指标体系,作为平台战略执行的标准。     

阳泉站车号识别智能管理系统构建研究

随着铁路信息化建设的不断深入,货运票据电子化的实施,充分利用现有的车号识别系统与现车系统、确报系统大数据融合,实现铁路车号作业的智能化。在阐述阳泉站车号作业流程现状及存在问题的基础上,构建阳泉站车号识别智能管理系统,探讨阳泉站车号识别智能管理系统工作流程及效果,从更新车号排序、去除相同数据记录、匹配空标签信息和及时匹配车号信息入手,加强阳泉站车号识别智能管理系统优化,为实现铁路车站车号识别智能化提供借鉴。     

编组站提钩自动化智能识别设计

为了提升编组站解编效率与现场作业安全性,进一步提高编组站作业自动化技术水平,针对解编自动化技术瓶颈,提出一种基于深度学习的编组站提钩自动化智能识别设计方案。阐述编组站提钩自动化智能识别的设计需求,从位置信息获取、作业过程监控、图像数据采集、信息数据处理等环节研究图像信息处理方法,重点研究智能识别流程,利用深度卷积神经网络模型与算法研究图像特征值提取与图像匹配识别技术实现方案。经验证,智能识别方案在试验中的平均可靠度达99.37%,为编组站解编自动化提供了一种有效技术手段。