Research on Quality Management Measures of Green Building Construction

Urbanization has led to the rapid development of the construction industry.However,this has also led to higher requirements for the construction engineering management.Other than the quality monitoring of engineering construction,the energy-saving properties of the building should also be considered.Therefore,a scientific management approach should be adopted to improve green building management.This paper primarily examines the importance of quality management in green building construction,along with the factors influencing it.It also identifies the quality issues present in current green building construction.Finally,it proposes measures for quality management in the green building construction process to facilitate the industry’s healthy development.

Risk Management of Clinical Reference Dosimetry of a Large Hospital Network Using Statistical Process Control

Managing TG-51 reference dosimetry in a large hospital network can be a challenging task. The objectives of this study are to investigate the effectiveness of using Statistical Process Control (SPC) to manage TG-51 workflow in such a network. All the sites in the network performed the annual reference dosimetry in water according to TG-51. These data were used to cross-calibrate the same ion chambers in plastic phantoms for monthly QA output measurements. An energy-specific dimensionless beam quality cross-calibration factor, , was derived to monitor the process across multiple sites. The SPC analysis was then performed to obtain the mean, , standard deviation, σk, the Upper Control Limit (UCL) and Lower Control Limit (LCL) in each beam. This process was first applied to 15 years of historical data at the main campus to assess the effectiveness of the process. A two-year prospective study including all 30 linear accelerators spread over the main campus and seven satellites in the network followed. The ranges of the control limits (±3σ) were found to be in the range of 1.7% - 2.6% and 3.3% - 4.2% for the main campus and the satellite sites respectively. The wider range in the satellite sites was attributed to variations in the workflow. Standardization of workflow was also found to be effective in narrowing the control limits. The SPC is effective in identifying variations in the workflow and was shown to be an effective tool in managing large network reference dosimetry.

Enhancing Software Process Management through Control Charts

In software development life cycle, Software Process Management (SPM) acts as a significant part throughout the execution of project. In this study, the application of control chart for analyzing the stability of software process and defects in the software product is discussed. This paper will discuss the analyzing impact or collision of rework effort, defect density, inspection performance and productivity by using control charts. This paper also explains the benefits and challenges of using control charts in software organization.

What to Cache：Differentiated Caching Resource Allocation and Management in Information-Centric Networking

Information-centric networking(ICN) aims to improve the efficiency of content delivery and reduce the redundancy of data transmission by caching contents in network nodes. An important issue is to design caching methods with better cache hit rate and achieve allocating on-demand. Therefore, an in-network caching scheduling scheme for ICN was designed, distinguishing different kinds of contents and dynamically allocating the cache size on-demand. First discussing what was appropriated to be cached in nodes, and then a classification about the contents could be cached was proposed. Furthermore, we used AHP to weight different contents classes through analyzing users' behavior. And a distributed control process was built, to achieve differentiated caching resource allocation and management. The designed scheme not only avoids the waste of caching resource, but also further enhances the cache availability. Finally, the simulation results are illustrated to show that our method has the superior performance in the aspects of server hit rate and convergence.

A Novel Method for Assessing and Optimizing Software Project Process Based Risk Control

A new approach for assessing and optimizing software project process based on software risk control presented, which evaluates and optimizes software project process from the view of controlling the software project risks. A model for optimizing software risk control is given, a discrete optimization algorithm based on dynamic programruing is proposed and an example of using above method to solve a problem is also included in this paper. By improving the old passive post-project control into an active effective preaction, this new method can greatly promote the possibility of success of software projects.

Multiperspective Representation of Internal Controls in Business Processes

The internal control process, which is designed to help an organization accomplish specific control objectives, is one of the most important processes, as it can determine whether or not the organization is in compliance with its internal or external requirements. Internal controls emerge from different perspectives. Currently, experts view and act on one control perspective at a time, which creates inefficiencies and duplication. This software engineering research is aimed at proposing a multiperspective framework for representing internal controls, in order to obtain a centralized and comprehensive view of all internal control mechanisms. To carry out this research, we also needed to represent the many different stakeholder perspectives of internal controls. Based on a literature review of mathematical and psychological analysis, we searched for the most suitable multiperspective representation of internal controls, and assessed the many representation options using the AHP (analytical hierarchical process) sensitivity analysis approach. This approach has been applied to a study group which has been called to answer to a questionnaire.

Application of MES System in Offshore Oil and Gas Field Production Management

In order to solve information island problem of offshore oil and gas field production-related information system,including repetitive reporting and input of data,data isolation of central control system,inadequate follow-up analysis and development to support oil and gas field production management,and so on.Therefore,the introduction of MES(Manufacturing Execution System)production execution system in the manufacturing industry and downstream production of offshore oil has become an inevitable choice.This system utilizes the real-time database combined with relational database to collect the scattered structured data,such as the production process real-time data,production management documents and statistical tables of offshore oil and gas production facilities.It establishes a unified data center platform for each operation area and production site,so as to centralize the related production management data at production sites.This system realizes many functions,including the production management support like production report generation as well as presentation and POB,equipment management support like PM optimization,remote configuration and monitoring of production operation,status trend analysis,and production event prediction.The implementation of MES system in offshore oil and gas field production management perfects the overall information system of China National Offshore Oil Corporation more and gradually enhances its comprehensive benefits.

研究型医院临床研究全流程质量控制的构建与运行

研究型医院开展的临床研究项目越来越多。通过对研究型医院开展的临床研究进行包括立项前、实施中、结题后等多角度、全流程的质量控制,可以及时识别临床研究中存在的风险或潜在风险因素,实时评估并解决质量问题,避免发生重大临床研究问题的可能性。研究型医院通过全流程质控过程中及时主动发现问题,确立协调机制、优化沟通流程,减少研究项目质量问题的发生,持续完善临床研究的质量管理体系,保证研究合规、数据完整准确,提升研究结论的可靠性。

因天气影响的航空器绕飞管制安全评估及策略分析

为降低航空器在绕飞情况下管制指挥事故的风险,采用事故树分析法(fault tree analysis, FTA)和层次分析法(analytic hierarchy process, AHP)相结合的方式对管制员在进行绕飞管制时发生指挥事故建立综合风险评估模型并制定风险管控措施,以及验证所提管控措施的有效性。首先对各风险因素进行逐层分析,找出其关联性,建立绕飞管制指挥事故的事故树模型。以此为基础,结合层次分析法,确定各层风险指标权重。同时依据各指标总权重的排序结果,提出了在绕飞情况下管制指挥事故的管控措施,最后以长沙区域管制空域为实例对所提方案进行验证。结果表明:在本文方案下虽然雷雨、风切变、协调程序过于复杂和航空器偏离计划航路仍然是导致绕飞管制事故的重要因素,但其重要程度下降了6.2%,且成熟管制员人数不足、扇区流量大和预案频繁发生变化的状况得到有效解决。证明了该方案能够有效抑制导致绕飞管制指挥事故发生的事件的重要程度,减少因极端天气和扇区负荷过大而出现的安全风险事故,整体提高管制系统的稳定性和可靠性。

云南青牛胆栽培管理技术

通过对云南青牛胆繁殖技术、田间管理、病虫害防治、采收加工技术的操作实践总结,探讨云南青牛胆栽培管理技术,为金果榄药材规模化和规范化生产提供技术参考。

山西农业大学综合教学楼工程全过程管理与质量控制探讨

工程项目管理和质量控制一直是建筑工程建设关注的核心。以山西农业大学综合教学楼为例,对建筑工程项目质量管理和质量控制体系,以及工程质量控制策略及实践进行探讨,以丰富建筑工程项目管理和质量控制的实践。

总承包工程精细管理实践

某7500t/d水泥熟料生产线EPC项目在执行过程中,利用BIM平台,通过实施项目建设总体策划、划分施工与安装区域、模拟施工场地布置和建设、合理布置施工总平面、加强设备质量管理、施工质量与进度控制、实施智慧安全管理,合理安排设备与材料堆存、非标准件制作场地,加强费用成本控制管理等,实现了项目建设年初开工,当年投产,经济效益与社会效益良好。

基于绿色市政基础设施理念的城市绿色供水探索

在新发展理念指引下,绿色市政基础设施建设已成为我国城市发展的必然趋势,城市供水系统是市政基础设施中重要的一部分,如何走高质量绿色发展之路是面临的突出问题。提出了市政基础设施绿色发展理念及基本定位,基于绿色市政基础设施的概念,揭示了城市绿色供水系统安全、高效、低碳、生态、智慧的绿色理念和内涵,构建了城市供水系统绿色核心评价指标体系和评价方法,总结凝练了绿色供水保障技术,用以引领和指导城市绿色供水设施的规划设计和建设运维服务。

EPC总承包模式下的全过程造价控制与管理探究

深入研究了在EPC总承包模式下全过程造价控制与管理的重要性和实施策略,分析了如何通过集成工程设计、采购和施工各阶段,实现成本的有效控制与优化,探讨了由总承包商负责项目全程管理时所面临的挑战,以及如何克服这些挑战以保障项目成本、进度和质量。

城市轨道交通先张法预制U梁的科研管理要点浅谈

城市轨道交通建设中都有一定比例的科研经费,但所占工程投资比例较低,如何有效地利用科研资金是一个需要探讨的问题。城市轨道交通高架桥广泛采用预制U梁结构。近年来,先张法预制U梁作为一种新产品,需要对其力学性能、温度效应一系列技术问题进行研究。以某城市的轨道交通“先张法预制U梁综合力学性能研究”的科研为例,阐述了轨道交通工程中的科研与管理要点,科研立项、过程控制和成果评审与鉴定,为科研项目的有效管理提供借鉴。

建筑工程管理中全过程造价控制策略分析

论文研究目的是施工企业要在市场经济的发展中占据一席之地,必须不断地引入新建筑理念,走可持续发展的道路,把施工的成本控制做到最好,提高建设的综合效益。方法:本文以某建筑工程项目为例,开展对其全过程造价控制的相关研究。结论:施工全过程成本管理的实施不但可以使建筑资源得到有效整合,而且可以为施工项目的质量提供可控的保障,使建筑工程的功能和价值得以充分发挥,进而促进建筑业的持续发展。

乘用车产品公告认证过程管理与质量控制研究

公告认证一直是汽车企业最为重要的环节,是车辆能否正常销售和上牌的重要因素。为了能够确保产品在认证过程中的准确性,本文阐述了企业公告认证应从项目的前期策划、认证计划的编制、公告资料的收集审核、样车样件的管理、试验开展、公告申报审查等方面层层把关,以达到对公告认证整个过程的管理。另外,还通过对认证计划的质量、认证样品的质量、认证参数的质量控制,来提高公告认证申报的准确率,并最终确保公告发布、车辆顺利销售和上牌。

基于全过程动态控制下的工程进度管理

进度控制是项目管理的核心要素。文中结合工程实例提出了施工进度全过程仿真技术和动态控制方法。该全过程动态控制方法通过对关键路线中每个工序引入循环网络(CYCLONE)模型,模拟分析不同工序对工程全过程进度的影响。结合层级数据结构获取工程进度实时数据,制定针对性进度控制方案,并将该控制方案反馈至实际工程进行动态评估,该进度控制方案会随着施工进程的变化不断调整。通过实时控制,相关人员可以及时调整施工计划,减少施工进度滞后和工程风险,提高施工效率和质量,保证工程按时完工。在不增加造价的基础上,调整工序改变总时差可加快进度。

基于深度学习的融合流程多视角行为分析:预测业务流程监控

预测性业务流程监控(PBPM)是业务流程管理(BPM)中的一个重要研究领域,旨在准确预测未来的行为事件。目前,PBPM研究中广泛引用了深度学习方法,但大多数方法只考虑单一的事件-控制流视角,无法将属性-数据流视角与之结合进行流程预测。针对这一问题,提出了一种基于双层BERT神经网络和融合流程多视角行为分析方法(简称FMP框架)。首先,基于第一层BERT学习属性-数据流信息;接着,基于第二层BERT学习事件-行为控制流信息;最后,通过FMP框架融合数据流和控制流实现多维视角流程预测。在真实的事件日志中的实验结果表明,相比其他研究方法,基于FPM框架预测下一个事件的活动精度更高。这证明融合流程多视角的FMP框架能够更全面、更深层次地分析复杂的流程行为,并提高预测的性能。