【Haichuan: Insights from Other Sources】Establishing a new smart management model based on a quality control platform

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At 16:41 on April 7, Zhang Yongzhan, the on-duty quality inspector at Zhenhai Refining & Chemical Co., received an alert from the Quality Management System (QMS): the melt index of Polypropylene Product T03 No. 1 exceeded the internal control limits. Upon receiving the information, Zhang Yongzhan took action immediately in accordance with the established procedures to eliminate the quality risks promptly. 　　This is a new smart management model developed by Zhenhai Refining & Chemical based on a quality control platform. This model enables the consolidation of data scattered across various systems, and by combining the company’s quality management expertise with advanced data system algorithms, it allows for the early detection of potential risks and real-time alerts. It also provides tailored preprocessing solutions, marking a shift from \"people searching for anomalies\" to \"anomalies finding people\". 　　To identify the weak points in quality management with precision, Zhenhai Refining & Chemical has, for two consecutive years, organized various departments to carry out quality risk identification activities under the theme of \"one theme per quarter.\" Specific themes for risk identification are established, and targeted case studies, risk identification, as well as the detection and rectification of potential hazards are conducted. In addition, alert rules are set up in the QMS system to detect such risks and hazards. 　　Meanwhile, taking the establishment and implementation of the QMS system as an opportunity, the quality management team created 45 control charts for the entire product quality process, distilled management experience to develop 1,181 examples of abnormality alerts, and promoted quality management from end-stage control to full-process oversight, as well as from post-event management to proactive early warning. This approach **reduced the occurrence of quality anomalies and improved the speed of response to such anomalies.