Research And Design Of Manufacturing Process Monitoring System For Discrete Workshop

With discrete manufacturing industry production mode gradually shift to multi variety and small bath customization production mode, workshop manufacturing processes become more complex and changeable. In order to the scheduled task quality and quantity successfully complete on time in such complex manufacturing environment, the manufacturing process must be real-time efficient monitored. Because the product crafts is very complex and many related elements involved in the discrete manufacturing process, such that there are a lot of workshop manufacturing process information and uncertain events. Therefore the workshop urgently needs a monitor and control system which can deal with such as information collection is not adequate and insufficient capacity to respond abnormal events and so on, to satisfy the discrete workshop production demand, adapt to the workshop informationization development direction.Based on the analysis of workshop manufacturing process monitoring status and site investigation, the thesis carries on the systematic requirements from three point as information collection, statistical analysis of information, and ability responding to abnormal events. Then, the monitoring system architecture and system’s overall business process are designed. Using object oriented method, multi-source process information are classified. Combining with the commonly used method and the template-based information collection method, the process information collection scheme is put forward. The collected information is analyzed. Meanwhile, the results are displayed in a straightforward way. For the functional requirements responding to abnormal events, this thesis study on dynamic re-scheduling based on abnormal events, the re-scheduling algorithm uses multi-objective genetic algorithm based on rolling window technique. Concluding abnormal events occurred frequently, the appropriate scrolling window policy is put forward, and the detailed multi-objective genetic algorithm in rolling window is designed. Finally the instance verifies this abnormal event-driven re-scheduling is feasible.On the basis of study combined system architecture with system critical technologies, this thesis designs system features modular, analyzing system UML case model and data flow diagram. And then using JAVA language, JSP/Servlet, Spring MVC technology, each function module in monitor system is developed. This monitoring System’s feasibility is proofed by the implementation and application in the enterprise.