Abstract

The fluctuation of product quality is closely related to the degradation of the equipment in multi-stage manufacturing systems. This paper proposes a critical measure approach for a quality-reliability coupled network of multi-stage manufacturing systems via network controllability. The impact of component degradation will be transmitted, expanded, and accumulated in multiple manufacturing stages, leading to quality flaws or even shutdowns of the entire system. An important measurement method via controllability analysis is provided by quantifying the impact of attacking the quality-reliability coupled network. By quantifying the control ability of the fault source node on the key quality attribute node, the weakness that affects the processing accuracy of a production line is identified. Case studies of real production lines are applied to verify the effectiveness, and comparative results show the method can guide the quality-reliability improvement of manufacturing systems.

Highlights

  • A highly reliable production line requires the system to maintain the specified production efficiency and the processed products to meet the quality inspection requirements

  • On the basis of previous research results, from the perspective of how to effectively control a network, this paper proposes a method for evaluating the importance of fluctuation sources based on network controllability analysis and proposes an accuracy-oriented method for identifying production line weakness, and verifies the effectiveness of this method

  • This paper proposes a method for importance measure in production line system based on network controllability analysis

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Summary

INTRODUCTION

A highly reliable production line requires the system to maintain the specified production efficiency and the processed products to meet the quality inspection requirements. The accuracy-reliability describes the ability of the production line to maintain the machining accuracy. The production line will not process qualified workpieces, which will cause unnecessary downtime for maintenance activities and significantly reduce quality-reliability. Importance Measure and Controllability Analysis fault source node on the key quality attribute node, the weakness that affects the processing accuracy of the production line is identified to improve the quality reliability of the system processing.

LITERATURE REVIEW
LOGICAL FLOW
RELIABILITY-QUALITY COUPLED NETWORK MODELING
Relationship Between Quality-Reliability and Error Fluctuation
Construction Steps of Fluctuation Transmission Network
IMPORTANCE MEASURE VIA NETWORK CONTROLLABILITY
Network Controllability Analysis
Driving Control Ways of Key Quality
Accuracy-Reliability Oriented Importance Measure
Case Study of a Launcher Part
Case Study of a Piston Production Line
CONCLUSION
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