Research on inventory management optimization of JF logistics company direct sales customer

随着经济全球化的态势日益显著，市场竞争变得越来越激烈，对于企业之间的竞争已开始转为供应链之间的竞争，而库存管理是供应链整个环节中一个非常关键的服务环节，其不仅和企业资金周转有很大的关联，同时，在满足客户需求上也发挥了举足轻重的作用。库存量太大，会导致资金流动变慢，使企业面对更多的风险，最终不利于企业的发展；库存量过小，可能会引起脱销，会对企业的正常运作形成负面作用。科学合理地进行库存管理是企业经营管理中极为重要的环节。直销客户A是JF物流公司服务的一家直销客户，其从事制药领域，是一家综合性公司，能够从事开发、制造、销售等多种活动，但其成品库存管理还在用传统的库存管理办法来管理。随着直销客户A公...With the trend of economic globalization is becoming increasingly prominent, the market competition becomes more and more intense, the competition between enterprises has begun to turn into competition between supply chains, and inventory management is the whole chain of supply chain is a very critical service Link, and its not only a great deal of corporate cash flow associated with the same time...学位：工商管理硕士院系专业：管理学院_工商管理硕士(工商管理硕士)学号：1792013115071

A Study on Taxonomic-Hierarchical Property of the Semantic System of Chinese Vocabulary and Its Implementation

词汇的系统性问题是词汇学的重要问题之一。汉语词汇学自创立以来，经过长期的探讨，词汇的系统性得到普遍承认和接受。但词汇是一个巨大的多层面的系统，人们的认识还不统一。词义是词汇的主要内容与核心，词汇系统的研究应首先从词义问题入手。人们已经认识到词义的系统性，在理论上与实践上都进行了有益的探索，但二者没有得到很好的结合。本文主要从词义系统出发，围绕词义系统的性质特征问题进行论述，探讨了词义系统的类别层级性，并分别从词义的内部构成、系统的主要关系及构成机制、以及如何实现等角度进行阐述。本文认为，一种语言的词义整体是一个有机的系统，它是词汇系统的子系统。构成词义系统的基本对象是义项，系统的内在机制是词义...The problem of the systematic property of vocabulary is important to lexicology studies. It has been discussed and studied for a long time, since the foundation of Chinese lexicology, and now it is widely accepted that vocabulary is a system. However, the vocabulary system is a huge and polyhedral system. The study of vocabulary system should be started from analyzing the meanings of vocabulary, b...学位：文学硕士院系专业：人文学院中文系_语言学及应用语言学学号：20040101

室内植物表型平台及性状鉴定研究进展和展望

Plant phenomics is under rapid development in recent years, a research field that is progressing towards integration, scalability, multi-perceptivity and high-throughput analysis. Through combining remote sensing, Internet of Things (IoT), robotics, computer vision, and artificial intelligence techniques such as machine learning and deep learning, relevant research methodologies, biological applications and theoretical foundation of this research domain have been advancing speedily in recent years. This article first introduces the current trends of plant phenomics and its related progress in China and worldwide. Then, it focuses on discussing the characteristics of indoor phenotyping and phenotypic traits that are suitable for indoor experiments, including yield, quality, and stress related traits such as drought, cold and heat resistance, salt stress, heavy metals, and pests. By connecting key phenotypic traits with important biological questions in yield production, crop quality and Stress-related tolerance, we associated indoor phenotyping hardware with relevant biological applications and their plant model systems, for which a range of indoor phenotyping devices and platforms are listed and categorised according to their throughput, sensor integration, platform size, and applications. Additionally, this article introduces existing data management solutions and analysis software packages that are representative for phenotypic analysis. For example, ISA-Tab and MIAPPE ontology standards for capturing metadata in plant phenotyping experiments, PHIS and CropSight for managing complicated datasets, and Python or MATLAB programming languages for automated image analysis based on libraries such as OpenCV, Scikit-Image, MATLAB Image Processing Toolbox. Finally, due to the importance of extracting meaningful information from big phenotyping datasets, this article pays extra attention to the future development of plant phenomics in China, with suggestions and recommendations for the integration of multi-scale phenotyping data to increase confidence in research outcomes, the cultivation of cross-disciplinary researchers to lead the next-generation plant research, as well as the collaboration between academia and industry to enable world-leading research activities in the near future