Intelligent Decision-Making in Warehouse Management: How AI Automation Improves Inventory Tracking, Order Fulfillment, and Logistics Efficiency Compared to Drone Technology

This paper analyzes how artificial intelligence (AI) automation can improve warehouse management compared to emerging technologies like drone usage. Specifically, we evaluate AI’s impact on crucial warehouse functions—inventory tracking, order fulfillment, and logistics efficiency. Our findings indicate AI automation enables real-time inventory visibility, optimized picking routes, and dynamic delivery scheduling, which drones cannot match. AI better leverages data insights for intelligent decision-making across warehouse operations, supporting improved productivity and lower operating costs.

A trajectory data warehouse solution for workforce management decision-making

In modern workforce management,the demand for new ways to maximize worker satisfaction,productivity,and security levels is endless.Workforce movement data such as those source data from an access control system can support this ongoing process with subsequent analysis.In this study,a solution to attaining this goal is proposed,based on the design and implementation of a data mart as part of a dimensional trajectory data warehouse(TDW)that acts as a repository for the management of movement data.A novel methodological approach is proposed for modeling multiple spatial and temporal dimensions in a logical model.The case study presented in this paper for modeling and analyzing workforce movement data is to support human resource management decision-making and the following discussion provides a representative example of the contribution of a TDW in the process of information management and decision support systems.The entire process of exporting,cleaning,consolidating,and transforming data is implemented to achieve an appropriate format for final import.Structured query language(SQL)queries demonstrate the convenience of dimensional design for data analysis,and valuable information can be extracted from the movements of employees on company premises to manage the workforce efficiently and effectively.Visual analytics through data visualization support the analysis and facilitate decisionmaking and business intelligence.

Study on Material ManagementSystem of Coal Enterprise Basedon Data Warehouse

On the bas is of the reality of material supply management of the coal enterprise, this paper expounds plans of material management systems based on specific IT, and indicates the deficiencies, the problems of them and the necessity of improving them. The structure, models and data organizing schema of the material management decision support system are investigated based on a new data management technology (data warehousing technology).

Secondary Warehouse Management System of Medical Low Value Consumables under SPD Mode and its Working Method

Objective:To study the secondary warehouse management system and operation mode of medical low value consumables under SPD mode.Methods:From August 2018 to August 2019,the management mode of the secondary warehouse management system of medical low value consumables was selected.According to the management method,it can be divided into the observation group and the control group.The relevant data of the observation group was based on SPD mode,and the data of the control group was based on the traditional mode.According to the improvement of the two groups of data management effect,data integration and analysis are carried out to judge the effectiveness of the SPD mode of medical low value consumables secondary warehouse management system and its working mode.Results:During the analysis of the two groups of data,the relevant data were analyzed.The data validity of the observation group was higher(94.0%),and the differences of the limitations and problems in the management process had more advantages,while the relevant data corresponding to the two groups of data had significant differences(P<0.05).Conclusion:According to the current research results,Based on the collection,storage and central management of data electronic medical record information,the secondary warehouse management system of medical low value consumables under SPD mode is connected with clinical information system and management information system,which realizes the unification,resource integration and efficient operation of different business systems in the hospital,so as to help improve the quality and efficiency of medical care,prevent and reduce medical errors,Control and reduce medical expenses.

Web-based: A data warehouse on osteoporosis data warehouse in the osteoporosis community health information management system

Objective: To establish an interactive management model for community-oriented high-risk osteoporosis in conjunction with a rural community health service center. Materials and Methods: Toward multidimensional analysis of data, the system we developed combines basic principles of data warehouse technology oriented to the needs of community health services. This paper introduces the steps we took in constructing the data warehouse;the case presented here is that of a district community health management information system in Changshu, Jiangsu Province, China. For our data warehouse, we chose the MySQL 4.5 relational database, the Browser/Server, (B/S) model, and hypertext preprocessor as the development tools. Results: The system allowed online analysis processing and next-stage work preparation, and provided a platform for data management, data query, online analysis, etc., in community health service center, specialist outpatient for osteoporosis, and health administration sectors. Conclusion: The users of remote management system and data warehouse can include community health service centers, osteoporosis departments of hospitals, and health administration departments;provide reference for policymaking of health administrators, residents’ health information, and intervention suggestions for general practitioners in community health service centers, patients’ follow-up information for osteoporosis specialists in general hospitals.

Development of Wafer Warehouse Management System for Semiconductor Manufacturing Foundry Supply Chain

Efficiency of supply chains management mostly depends on the process coordination and information integration between the supply chain companies.The well-known integrated circuit design houses,the wafer fabrication industries, and the integrated circuit packaging/testing business has together formed a contiguous supply chain from materials to system in Taiwan during the past decades.Logistic management of the wafer hence becomes the key linkage in the semiconductor foundry supply chain.The objective of this paper is to develop the wafer warehouse management system for global wafer logistics.Current operations for wafer logistics management are firstly reviewed. The system requirements are analyzed by the model-driven business transformation approach.The business operation model and the platform-independent solution architecture for the wafer logistics management are constructed.A prototype information system is also developed for validation.Results of this research can improve the effectiveness and efficiency in wafer logistics management for the semiconductor foundry supply chain.

An Application of a Multi-Tier Data Warehouse in Oil and Gas Drilling Information Management

Expenditure on wells constitute a significant part of the operational costs for a petroleum enterprise, where most of the cost results from drilling. This has prompted drilling departments to continuously look for ways to reduce their drilling costs and be as efficient as possible. A system called the Drilling Comprehensive Information Management and Application System (DCIMAS) is developed and presented here, with an aim at collecting, storing and making full use of the valuable well data and information relating to all drilling activities and operations. The DCIMAS comprises three main parts, including a data collection and transmission system, a data warehouse (DW) management system, and an integrated platform of core applications. With the support of the application platform, the DW management system is introduced, whereby the operation data are captured at well sites and transmitted electronically to a data warehouse via transmission equipment and ETL (extract, transformation and load) tools. With the high quality of the data guaranteed, our central task is to make the best use of the operation data and information for drilling analysis and to provide further information to guide later production stages. Applications have been developed and integrated on a uniform platform to interface directly with different layers of the multi-tier DW. Now, engineers in every department spend less time on data handling and more time on applying technology in their real work with the system.

Localization of pallets in warehouses using passive RFID system

Warehouse operation has become a critical activity in supply chain. Position information of pallets is important in warehouse management which can enhance the efficiency of pallets picking and sortation. Radio frequency identification(RFID) has been widely used in warehouse for item identifying. Meanwhile, RFID technology also has great potential for pallets localization which is underutilized in warehouse management. RFID-based checking-in and inventory systems have been applied in warehouse management by many enterprises. Localization approach is studied, which is compatible with existing RFID checking-in and inventory systems. A novel RFID localization approach is proposed for pallets checking-in. Phase variation of nearby tags was utilized to estimate the position of added pallets. A novel inventory localization approach combing angle of arrival(AOA) measurement and received signal strength(RSS) is also proposed for pallets inventory. Experiments were carried out using standard UHF passive RFID system. Experimental results show an acceptable localization accuracy which can satisfy the requirement of warehouse management.

Organizational Data Management： Proposing a Metadata-Driven Data Warehouse （DW） Model

Discussing the matter of organizational data management implies, almost automatically, the concept of data warehousing as one of the most important parts of decision support system （DSS）, as it supports the integration of information management by aggregating all data formats and provisioning external systems with consistent data content and flows, together with the metadata concept, as one of the easiest ways of integration for software and database systems. Since organizational data management uses the metadata channel for creating a bi-directional flow, when correctly managed, metadata can save both time and resources for organizations. This paperI will focus on providing theoretical aspects of the two concepts, together with a short brief over a proposed model of design for an organizational management tool.

Design and Realization of Control System for Warehouse based on MSCOMM Component

This paper describes control system network design and implementation of communication methods for automate warehouse management based on MFC, and the main features of VC6. 0 network communications programming and the method of implementation are discussed. Article described in detail the specific steps to achieve network communication for monitoring system, and gives the network communication process that combined with tile actual situation. Test results show that the system is stable and reliable.

Discussion on the Teaching Reform of Course Warehouse Management in Higher Vocational Colleges --,The Construction of Theory and Practice Courses Integrated Teaching Mode

Warehouse management, as a higher vocational course integrating theory and practice, is of extreme importance to training the professional personnel logistics management. In this paper, under the premise of the teaching objective of course Warehouse Management, and based on analyzing the disadvantages in the current teaching of the course, the teaching mode integrating theory and practice courses, and teaching and learning is discussed, so this paper is of great significance to the design of the course teaching modes in higher vocational colleges.

基于零库存目标的体外诊断试剂供应链质量评价与改进研究

目的:制定体外诊断试剂供应链的零库存管理目标,评价供应链质量,改进试剂供应中存在的问题。方法:从体外诊断试剂的库存量、供应效率和产品质量方面分析体外诊断试剂管理中存在的问题,制定医院运营、管理质量和患者利益最优化的管理体系,构建零库存管理路径和质量评价模型。选取2020年1月至2023年3月江苏省苏北人民医院采购的21种类型85个型号的体外诊断试剂,根据供应链质量管理方式不同,分别采用按需库存管理模式(模式1)和零库存管理模式(模式2),对比两种管理模式的需求采购、库存管理和临床使用效果。结果:采用模式2管理方式的体外诊断试剂的采购需求达标率、供应能力优质率和临床使用匹配度分别为(93.35±3.62)%、(94.87±2.63)%和(96.08±2.31)%,均高于模式1,其差异有统计学意义(Z=2.489、2.836、2.838,P<0.05),存产品长期积压、环境不达标和信息不及时的例数分别为(2.92±2.54)例、(2.83±1.59)例和(5.58±3.12)例,均低于模式1,其差异有统计学意义(Z=2.959、3.037、3.703,P<0.05);临床科室、医技科室及采购中心对模式2的体外诊断试剂的供应配送和信息沟通的满意度分别为97.8%和93.3%、97.0%和87.9%、100%和84.6%,均高于模式1,其差异有统计学意义(χ^(2)_(临床科室)=5.428、6.133,χ^(2)_(医技科室)=3.958、3.937,χ^(2)_(采购中心)=5.159、4.996,P<0.05)。结论:零库存管理模式能够提高体外诊断试剂需求采购的规范性,降低库存管理中积压失效问题的发生率,提升临床供应服务质量。

商业银行设立理财子公司能够实现风险隔离吗?

本文以中国商业银行设立理财子公司为准自然实验,基于2018—2021年84家银行的季度财务数据,采用渐进双重差分模型(DID)考察商业银行设立理财子公司的风险隔离效应。研究发现:设立理财子公司显著降低了母公司商业银行的风险承担,能够实现理财业务与其他业务的风险隔离,且设立时间越长,风险隔离效应越显著。异质性检验和机制分析表明,这种风险隔离效应在城商行与农商行中最弱;“去嵌套、降杠杆”和“去池化、缓错配”是实现风险隔离的主要机制。对母公司商业银行和理财子公司并表的进一步分析发现,设立理财子公司不能降低银行控股集团的整体风险承担,仅能实现风险隔离。这些研究发现对于完善商业银行内部控制和外部监管具有重要启示。

基于WMS系统的核电厂工具管理系统开发及应用

在提升精细化管理水平的大背景下,核电厂对仓储管理提出了精细化、智能化、协同化的改革要求。本文以某核电厂工具管理系统开发为实际案例,针对核电厂工具管理要求的特点,对基于MAXIMO系统到WMS系统的工具管理系统开发应用展开讨论,就WMS系统中工具管理需求规划、多系统数据接口、管理流程功能实现、移动化及智能化的应用等多个环节进行详细论述,并对系统升级后精细化库位管理、智能化数据分析和多功能报表等辅助功能进行介绍。文章最后对WMS系统中工具管理的功能拓展和应用的前景进行介绍,对核电厂工具管理开发与建设具有借鉴意义。

基于golang微服务的库房智能管理系统设计

针对传统库房管理主要依赖人工、效率低、数据难以及时更新、人力成本高等问题,文中基于golang微服务,结合ZigBee、RFID、人工智能和区块链等技术设计一种新型仓库智能管理系统。该系统主要由综合信息处理控制系统、以ZigBee为主的信息交互系统、以STM32与人脸识别为核心的门禁控制系统、RFID读写设备、后台管理五个部分构成,采用分布式架构将仓库设备管理、数据采集与处理和任务决策整合为一体,既能便捷联动ZigBee、RFID及人脸识别,又具有极强的内存管理和跨平台性。应用系统基于golang语言开发,使用vue、uniapp、electron、php、tdsql-c等技术,采用B/S和C/S两种架构;后端服务采用go-micro微服务形式来提高系统可插拔性和高并发能力;为提高租借数据的可靠性,系统采用区块链对其进行加密,实现每条数据自动上链功能。数据库采用tdsql-c云原生数据库,以方便横向扩展。实验表明,该系统能高效实现盘点和更新、全程无纸化记录及影像和出库数据留存,确保资料溯源,信息化水平高,极大地降低了企业运营成本。

小程序结合目视管理在心外科病区库房管理中的应用效果分析

目的:分析小程序结合目视管理在心外科病区库房管理中的应用效果。方法:回顾性分析2020年1—12月广东省中医院心外科病区库房管理数据,2020年1—6月为实施前,采用常规库房管理,2020年7—12月为实施后,在常规库房管理基础上联合小程序结合目视管理。比较实施前后库房管理工作效率、缺货告知次数、物资积压过期数、护理人员满意度。结果:实施后查找物品时间、盘点时间、整理库房时间短于实施前,差异有统计学意义(P<0.05)。实施后缺货告知次数、物资积压过期数少于实施前。实施后护理人员在物品充足、方便寻找、摆放布局好、管理分配合理的满意度高于实施前,差异有统计学意义(P<0.05)。结论:小程序结合目视管理在心外科病区库房管理中的应用效果显著,可提高库房管理工作效率,减少物资缺货、过期数,提高护理人员满意度。

基于全生命周期管理的县域水利工程数字档案馆的研发与应用

针对县域水利工程全生命周期过程档案不全、无法实现闭环管理的难题,通过数据仓库、数据接口、一码通管理等技术的研发应用实现闭环管理,并在苍南县进行了应用。县域水利工程数字档案馆采用NoSQL和MPP NewSQL相结合的方法建设数据仓,以解决数字档案馆的多元化数据存储问题;采用API和XML Web Service接口融合方法,解决了内部局域网系统和外部其他云系统的接口对接问题;开发了基于工作流引擎技术的SPARK分布式组件库,实现了水利局各个科室的业务协同与数据共享;采用一码通三色督查技术建立了三阶段数字档案健康评价指标体系,实现了“绿、黄、红”一码督查的管理档案;采用全链透析档案串并联技术,实现了水利工程整个全生命周期过程的数据分析。

一流专业背景下《采购与仓储管理》课程设计及发展建议

双一流建设的提出,使得社会各界对一流本科教育给予了前所未有的关注,也对一流本科教育提出了更高的要求。为了更好地满足社会发展的需要,在一流专业背景下,积极探索专业核心课程教学改革和发展,将有助于专业建设和高素质人才培养。文中结合山东财经大学国家一流专业——物流管理专业的发展和要求,以专业核心课程《采购与仓储管理》课为例,结合课程团队建设,多维度进行了课程改革设计,包括线上线下混合式教学、课程思政建设、过程性考核评价、课程实验实践等,并提出核心课程的发展建议。有助于物流管理专业培养质量和内涵的提升,并对其他院校相关专业的核心课程建设,提供有益的借鉴和帮助。

公立医院多院区院外仓耗材SPD运营模式研究

目的:探讨和分析某三甲医院(J医院)多院区院外仓耗材SPD运营模式的实践和效果,为公立医院多院区耗材精细化管理提供参考。方法:通过对J医院的深入案例分析,利用非参与式观察法及关键人物访谈法,探索J医院多院区院外仓SPD模式运行现状、实践效果和存在问题。结果:J医院院外仓模式减轻了院内仓储压力,降低了科室人员成本,保障了耗材安全供应,促进了多院区协同管理;但存在管理系统智能化薄弱、运营人员专业程度不足等问题。结论:未来医疗机构可以在引入院外仓的基础上,通过人工智能、大数据分析等技术手段,提升和优化多院区耗材管理,以满足医疗业务需求并推动医院高质量发展。

山东省小型水库专业化管护模式实践研究

小型水库专业化管护是破解小型水库安全难题的重要举措,随着小型水库管理体制改革不断深化,各地探索实行的管护模式具有相似性,也表现出区域差异性。以山东省小型水库管护模式建设为例,在梳理山东省基层管护现状、管护模式分类和管护模式组织机构基础上,选取16个典型县区进行管护模式实践成效分析,总结得到不同管护模式的适应条件与建设要点。从管护模式推行、工程基础、管护企业培育、巡库员队伍建设、智慧化管护等方面提出了小型水库专业化管护模式长效运行相关建议。