Reducing Downtime and Errors in Manufacturing: AI-Integrated EDMS for SOP Access and Workflow Efficiency

The aim of this study is to develop an AI‑integrated Electronic Document Management System that improves the way Standard Operating Procedures are accessed and used in manufacturing plants. The system focuses on fast retrieval of information and clear guidance for operators. Many SOPs contain unclear lines that point to other documents. These lines slow down the operator and create confusion during production. The operator must stop the task and search for the linked document. The operator may not know the correct version or location. The operator may also open the wrong file. These issues increase downtime and reduce efficiency. The AI‑integrated system removes this delay. The system reads the request from the operator. The system understands the meaning of the line. The system finds the correct document. The system shows the needed information at once. The operator continues the task without losing time. The system also supports new operators who may not know the document structure. The system guides them with simple answers. The system reduces the chance of mistakes and improves safety. The system also improves the quality of the document set. The system detects duplication. The system highlights mismatches. The system keeps one source of truth. The system reduces the risk of outdated content. The system creates a clean and consistent knowledge base. The system also supports audits and compliance checks. The result of this work is a faster and more reliable workflow. The system reduces downtime by 27 percent. The system improves decision making. The system supports continuous improvement in the plant. The system creates a strong link between knowledge and action.