A Two-Layer Causal Knowledge Network Construction Method Based on Quality Problem-Solving Data
“Cause analysis” constitutes an indispensable component in quality management systems, serving to systematically identify the causes of quality defects, thereby enabling the development of targeted improvement strategies that concurrently address surface-level manifestations and fundamental drivers....
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| Format: | Article |
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MDPI AG
2025-02-01
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| Series: | Systems |
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| Online Access: | https://www.mdpi.com/2079-8954/13/3/142 |
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| author | Yubin Wang Shirong Qiang Xin Yue Tao Li Keyong Zhang |
| author_facet | Yubin Wang Shirong Qiang Xin Yue Tao Li Keyong Zhang |
| author_sort | Yubin Wang |
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| description | “Cause analysis” constitutes an indispensable component in quality management systems, serving to systematically identify the causes of quality defects, thereby enabling the development of targeted improvement strategies that concurrently address surface-level manifestations and fundamental drivers. However, relying solely on personal experience makes it challenging to conduct a comprehensive and in-depth analysis of quality problems. The reason is that, when analyzing the causes of quality problems, it is essential not only to consider the specific context in which the problems occur. This enables “specific problems” to be “specifically analyzed” for the formulation of temporary containment measures. Additionally, the context of the problem needs to be stripped. This allows for a general and in-depth analysis of the “class problem” or the causal linkages underlying the problem, thereby determining the root cause of the problem and formulating a corresponding long-term program. The analysis of the causes of quality problems exhibits “duality” characteristics. Based on this, this study proposes and constructs a two-layer causal knowledge network by leveraging the causal knowledge generated and applied in the process of quality problem solving to address the “duality” characteristic of the cause analysis of quality problems. The proposed network can assist front-line employees in analyzing the quality problems of products from diverse perspectives and overcome the challenge of relying solely on personal experience to comprehensively and profoundly analyze the causal relationships of quality problems. Our method not only contributes to enhancing the efficiency of quality problem solving but also makes a valuable contribution to the advancement of theories and methods related to quality management and knowledge management. |
| format | Article |
| id | doaj-art-d7a715759e2a4b47a211bbcf2f5d73f3 |
| institution | Kabale University |
| issn | 2079-8954 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Systems |
| spelling | doaj-art-d7a715759e2a4b47a211bbcf2f5d73f32025-08-20T03:43:51ZengMDPI AGSystems2079-89542025-02-0113314210.3390/systems13030142A Two-Layer Causal Knowledge Network Construction Method Based on Quality Problem-Solving DataYubin Wang0Shirong Qiang1Xin Yue2Tao Li3Keyong Zhang4School of Economics and Management, North University of China, Taiyuan 030051, ChinaSchool of Economics and Management, North University of China, Taiyuan 030051, ChinaCollege of Psychology, Liaoning Normal University, Dalian 116023, ChinaSchool of Management, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Economics and Management, North University of China, Taiyuan 030051, China“Cause analysis” constitutes an indispensable component in quality management systems, serving to systematically identify the causes of quality defects, thereby enabling the development of targeted improvement strategies that concurrently address surface-level manifestations and fundamental drivers. However, relying solely on personal experience makes it challenging to conduct a comprehensive and in-depth analysis of quality problems. The reason is that, when analyzing the causes of quality problems, it is essential not only to consider the specific context in which the problems occur. This enables “specific problems” to be “specifically analyzed” for the formulation of temporary containment measures. Additionally, the context of the problem needs to be stripped. This allows for a general and in-depth analysis of the “class problem” or the causal linkages underlying the problem, thereby determining the root cause of the problem and formulating a corresponding long-term program. The analysis of the causes of quality problems exhibits “duality” characteristics. Based on this, this study proposes and constructs a two-layer causal knowledge network by leveraging the causal knowledge generated and applied in the process of quality problem solving to address the “duality” characteristic of the cause analysis of quality problems. The proposed network can assist front-line employees in analyzing the quality problems of products from diverse perspectives and overcome the challenge of relying solely on personal experience to comprehensively and profoundly analyze the causal relationships of quality problems. Our method not only contributes to enhancing the efficiency of quality problem solving but also makes a valuable contribution to the advancement of theories and methods related to quality management and knowledge management.https://www.mdpi.com/2079-8954/13/3/142knowledge managementquality managementproblem contextcausal analysistwo-layer causal network |
| spellingShingle | Yubin Wang Shirong Qiang Xin Yue Tao Li Keyong Zhang A Two-Layer Causal Knowledge Network Construction Method Based on Quality Problem-Solving Data Systems knowledge management quality management problem context causal analysis two-layer causal network |
| title | A Two-Layer Causal Knowledge Network Construction Method Based on Quality Problem-Solving Data |
| title_full | A Two-Layer Causal Knowledge Network Construction Method Based on Quality Problem-Solving Data |
| title_fullStr | A Two-Layer Causal Knowledge Network Construction Method Based on Quality Problem-Solving Data |
| title_full_unstemmed | A Two-Layer Causal Knowledge Network Construction Method Based on Quality Problem-Solving Data |
| title_short | A Two-Layer Causal Knowledge Network Construction Method Based on Quality Problem-Solving Data |
| title_sort | two layer causal knowledge network construction method based on quality problem solving data |
| topic | knowledge management quality management problem context causal analysis two-layer causal network |
| url | https://www.mdpi.com/2079-8954/13/3/142 |
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