• International conference on construction engineering and project management
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• 2017.10a
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• pp.301-312
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• 2017

Quality evaluation and control represent increasingly important concerns for construction quality management. There is an evident need for a standard data model to be used as the basis for computer-aided quality management. This study focuses on how to realize evaluation of construction quality based on BIM and database technology. In this paper, the reinforced concrete main structure is taken as an example, and the BP neural network evaluation model is established by inquiring current construction quality acceptance specification and evaluation standard. Furthermore, IFC standard is extended to integrate quality evaluation information and realize the mapping of evaluation information in BIM model, contributing to the visualization and transfer sharing of evaluation information. Furthermore, the conceptual entity model is designed to build quality evaluation database, and this paper select MySQL workbench system to achieve the establishment of the database. This study is organized to realize the requirement of visualization and data integration on construction quality evaluation which makes it more effective, convenient, intuitive, easy to find quality problems and provide more comprehensive and reliable data for the quality management of construction enterprises and official construction administratiors.

• Korean Journal of Computational Design and Engineering
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• v.21 no.2
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• pp.170-176
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• 2016

PLM system has been widely used in whole industry. Specially, in case of the company that constructs the engineering plant, PLM can be a key success tool for the innovation with ERP and Enterprise IT Systems. This paper describes the innovation strategy for engineering plant PLM including Master Data management, EPC project management, full 3D modeling and quality management.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.284-288
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• 2015

Recently, the mandate on utilizing BIM implemented by public institutions of many countries has great impact on the significantly increasing practices of BIM. The improvement of work efficiency and productivity, which is occurred by BIM adoption, depends on the consistency and accuracy of data. To maximize the benefit of BIM, the interests in BIM data quality have been enlarging all over the world. The BIM data quality pre-check, which is conducted by designer in the design phase, offers opportunities for quality improvement by continuously assessing BIM data. However, BIM quality pre-check is being conducted under arbitrary interpretation of users because of the absence of specific review factors and assessment methods for checking BIM quality. The purpose of this study is to establish an automated BIM quality pre-checking system to improve BIM design quality effectively and efficiently. It could be expected to meet the owner's requirements and to minimize the cost and time occurred additionally from revising and reproducing data by constructing consistency and accuracy of it.

• Management & Information Systems Review
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• v.18
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• pp.201-222
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• 2006

As the competition between countries has become higher and the notion of software quality has been widely spread. it has been necessary to develop technologies that can ensure and produce high quality software. With the advent of information-oriented society. quality control has to transfer to the quality control activities focused on software system instead of those activities focused on hardware system. If so, how do we get to handle the quality control on the basis of the new approach. Also, as software applications have grown. so too has the importance of software quality. In order to manage software quality, the technology to specify and evaluate both the software product quality and development process quality objectively quantitatively is most important. To produce products of good quality, we need a more progressive quality control system according to the need of software development life cycle. In other words, we do software right the first time or build quality in the process. On the basis intermediate and final time or build quality in the process. On the basis of data achieved, we can evaluate the products according to the consequences of the data, What are the problems to contrive the software quality control system?, we con promote the quality of products. To achieved that goal, we con provide a suitable the technique and method of software quality control.

• Management & Information Systems Review
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• v.15
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• pp.245-262
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• 2004

As the competition between countries has become higher and the notion of software quality has been widely spread. it has been necessary to develop technologies that can ensure and produce high quality software. With the advent of information-oriented society. quality control has to transfer to the quality control activities focused on software system instead of those activities focused on hardware system. If so, how do we get to handle the quality control on the basis of the new approach. Also, as software applications have grown, so too has the importance of software quality. In order to manage software quality, the technology to specify and evaluate both the software product quality and development process quality objectively quantitatively is most important. To produce products of good quality, we need a more progressive quality control system according to the need of software development life cycle. In other words, we do software right the first time or build quality in the process. On the basis intermediate and final time or build quality in the process. On the basis of data achieved, we can evaluate the products according to the consequences of the data, What are the problems to contrive the software quality control system?, we con promote the quality of products. To achieved that goal, we con provide a suitable the technique and method of software quality control.

• Journal of Korean Society for Quality Management
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• v.43 no.4
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• pp.573-588
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• 2015

Purpose: For improving result of estimated remaining useful life in Prognostics and Health Management (PHM), a system which is able to consider a lot of environment and load data is required. Method: A load profile monitoring system was presented based on cloud computing for gathering and processing raw data which is included environment and load data. Result: Users can access results of load profile information on the Internet. The developed system provides information which consists of distribution of load data, basic statistics, etc. Conclusion: We developed the load profile monitoring system for considering much environment and load data. This system has advantages such as improving accessibility through smart device, reducing cost, and covering various conditions.

• Asian Journal of Business Environment
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• v.5 no.2
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• pp.23-29
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• 2015

Purpose - This theoretical study develops practical recommendations for implementing a quality management system (QMS) in Kazakh organizations to ensure the effectiveness and safety of products and services. We discuss the improvement of Kazakhstan's quality standards based on the requirements of ISO 9000. Research design, data, and methodology - We provide methods for improving the quality standards system, ranging from research and development to the sale of products. We also propose to establish a special quality systems award to motivate enterprises toward product quality improvement. The study's methodological basis included Kazakhstan's legislative and regulatory Acts, and international and national standards defining QMS requirements for scientists worldwide to develop and implement a QMS for enterprises. Results - Aligning the QMS reduces Kazakh companies' costs for the detection and correction of defects, and the external and internal loss caused by the defects. Effective QMS also reduces management costs. Conclusion - This article can help increase the transparency of organizations for their leaders and (if necessary) the external environment, and improve the accuracy, quality, and timeliness of decision-making.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.615-616
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• 2006

Many manufacturing companies manage their production-related data for quality management and production management. Nevertheless, production related-data should be closely related to each other Stored data is mainly used to monitor their process and products' error. In this paper, we provide an enterprise-wide production data model for decision support system and product automation. Process data, quality-related data, and test data are integrated to identify the process inter or intra dependency, the yield forecasting, and the trend of process status. In addition, it helps the manufacturing decision support system to decide critical manufacturing problems.

• The Journal of Information Systems
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• v.23 no.2
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• pp.49-66
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• 2014

In today's competitive business environment it is a necessary condition for a company to produce high-quality product for its survival and growth. That is the case in the auto-part industry as well where the international standards, ISO/TS 16949 certification, are required by customers to adopt mandatory. This study presents a successful implementation of quality management system(QMS) in a major auto-part manufacturer in Korea, utilizing SAP's QM(qualaity management) module and a mobile office system. The QMS brought the company "A" a variety of benefits such as real-time availability of product-inspection data, speedy decision-making, reduction in time required for defect-handling, ease of vertical integration of business partners in supply chain, and ease of business process standardization between headquarters and overseas subsidiaries. It is expected that the findings of this study can be used as a useful guideline for companies to consider implementing ERP-based quality management systems successfully.

• Journal of Soil and Groundwater Environment
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• v.28 no.spc
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• pp.18-39
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• 2023

Rapid development of geophysical exploration and hydrogeologic monitoring techniques has yielded remarkable increase of datasets related to groundwater systems. Increased number of datasets contribute to understanding of general aquifer characteristics such as groundwater yield and flow, but understanding of complex heterogenous aquifers system is still a challenging task. Recently, applications of data science technique have become popular in the fields of geophysical explorations and monitoring, and such attempts are also extended in the groundwater field. This work reviewed current status and advancement in utilization of data science in groundwater field. The application of data science techniques facilitates effective and realistic analyses of aquifer system, and allows accurate prediction of aquifer system change in response to extreme climate events. Due to such benefits, data science techniques have become an effective tool to establish more sustainable groundwater management systems. It is expected that the techniques will further strengthen the theoretical framework in groundwater management to cope with upcoming challenges and limitations.