Papers by Keyword: Knowledge Management

Abstract: The COVID-19 pandemic has posed unprecedented challenges worldwide, requiring efficient and effective knowledge management strategies to aid in mitigation efforts. This paper introduced the Knowledge Management Analytic Dashboard (K-MAD) to support decision-makers, healthcare professionals, and policymakers in combating the spread of COVID-19. K-MAD leverages data analytics, and knowledge representation techniques to aggregate, analyze, and visualize diverse information sources related to the pandemic. The proposed dashboard provides real-time updates on the number of initiatives, project catalog, initiatives model, problem-based approach, and the methods, enabling stakeholders to make data-driven decisions promptly. K-MAD incorporates sophisticated data integration mechanisms to gather data from various sources, including government reports, public health agencies, research papers, and social media, ensuring comprehensive coverage and accuracy. The dashboard has a user-friendly interface caters to users with varying levels of technical expertise, promoting accessibility and usability. Customizable visualizations and interactive elements empower users to explore data from different angles and obtain valuable insights quickly. The paper concludes with a validation study, demonstrating K-MAD's efficacy in supporting decision making processes during the pandemic. Knowledge Management Analytic Dashboard presented in this paper offers a powerful and comprehensive tool to support COVID-19 mitigation efforts.

Abstract: This paper was carried out with an aim to use a modified knowledge management model, that could provide a knowledge management tool that would ensure decreased downtimes, error rates and could enhance knowledge transfer for a company. This research involved quantitative assessment in measuring knowledge management success by using designed methodologies accompanied by data collection from the quality control department. The results of this research were the measurement of the knowledge management tool success.

Abstract: Process planning is the key sector for automobile industry enterprises to shorten product development cycle. By studying the expression method of process information and standardized description method of process knowledge based on MBD, the process knowledge base is established with the uniform representation model as the core, on this basis, the knowledge embedding method oriented to process planning task, modeling method of process planning wizard and process planning navigation technology is studied, the maintenance and application platform of the process knowledge for the automobile industry is established, and integrated with the existing CAPP system, to realize the whole-process management of processes knowledge, so as to provide the support for the optimization and improvement of the manufacturing process.

Abstract: Materials and their properties are nowadays mostly represented either in forms of material data bases or digital data sheets. While these are sources of facts about the particular materials, the interconnection between the different materials, their usage and development is still lacking. Besides, the data bases are mostly distributed, run by different institutions or specialized on only one category like metals or polymers. The given article addresses the application of knowledge management in the area of material science and engineering for gathering, representing and distributing knowledge as well as supporting a sustainable material and product development. Sustainability, green engineering and innovativeness are crucial deciding factors for today’s material development and should therefore be addressed and integrated in the scope of promoting innovation in material science. To accomplish the aforementioned goal, a combination of semantic and case based methods will be applied in a holistic concept, entitled MatProSQI. It is thus become possible to interconnect and reference fact or knowledge of materials, like category, property, test results, production requirements, sustainability factors, user feedback and experiences of former applications. In addition to the representation of knowledge, collaboration between the engineers is detected as an essential factor for a steady transfer of knowledge.

Abstract: As the emergence phenomenon reflects the process of knowledge creation. Knowledge Management (KM) technology is naturally taken into account. The characteristic of emergence has brought new requirements for implementing KM. After they have been sufficiently analyzed, a knowledge resource management method based on ontology cloud model is put forward. The method is a set of scientific and effective management solution, which consists of expressing knowledge from emergence, defining knowledge evolution process, and sharing knowledge to promote emergence. This method is a good thought for making use of emergence and good for innovation.

Abstract: Increasing requirements in the field of quality and management standards are the reason why knowledge management is regarded as an upcoming need for the metal processing industry. To fully benefit from the organisational achievements which are knowledge resources, and to meet the expectations of customers, one should think about functional, but also modern, computer system that allows the integration of heterogeneous sources of knowledge. The article describes practical aspects of the codification of metallurgical knowledge for the needs of a system of knowledge integration operating in industrial plants. The article propose successive steps to create objects of knowledge and requirements imposed onto the knowledge engineers. The presented methodology is consistent with the standards of knowledge management in the field of codification, and is based on the latest achievements of information science in the field of formal representation of knowledge.

Abstract: Based on analysis of domestic and national literature, the related theory of enterprise knowledge management performance evaluation and methods of knowledge management performance evaluation has been summarized and compared. Combining with the characteristics of enterprises, the model and method of software enterprise knowledge management performance evaluation has been confirmed. Through surveying to related experts, index system of software enterprise knowledge management performance evaluation has been structured which applies in fuzzy evaluation method, it’s able to apply in software enterprise knowledge management performance evaluation.

Abstract: The paper combine cloud computing with knowledge management, and classify the knowledge management of enterprise information management system, finally the paper plan and design the overall architecture of enterprise management information system. According to the model of cloud computing, establish the cloud computing platform based on the construction of cloud computing and virtualization technology, in order to achieve the overall architecture of the management information system of enterprise that migrate to the cloud computing environment. This paper mainly introduced in the cloud computing architecture of enterprise management information system under the environment of cloud computing and implementation of knowledge management system.

Abstract: Engineering product development is becoming increasingly collaborative and knowledge-intensive in today’s industry. On one hand, the product development process comprises various tasks that involve extensive knowledge exchange and communication among geographically distributed teams. On the other hand, the product development teams usually reuse engineering knowledge from previous design experience when solving new design problems. Therefore, there is a strong need to capture, store and reuse the knowledge for product development. In this paper, different understanding and classifications of engineering knowledge are presented. Two aims of knowledge management for product development are analyzed. And the researches on the engineering knowledge management are summarized based on critical phases of knowledge management process. Finally, future research directions of knowledge management in engineering are discussed.

Abstract: The modern hospital is a knowledge intensity organization and the knowledge management has become inevitable development trend of the hospital management. The medical profession background is the data resources of the health profession, and the quality of data resources directly influences the effect of hospital knowledge management. How to fully use the data resources of hospital for enhancing the innovation strength and the core competitive power of the hospital have already become the main focus of the health and academic professionals. The current status of medical profession data resource has been reviewed, the related concepts about data, information and knowledge have been differentiated and analyzed, and the knowledge management system based on the data resources has been constructed, which mainly includes: the hospital background, the knowledge management technology, the knowledge management mechanism, the knowledge management system and the knowledge management process etc. The primary contents of these various parts have also been outlined.