Manufacturing Quality Management System Using 4M Analysis

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Solution Overview

Problem

Existing quality management systems, such as those disclosed in Japanese Patent Application Laid-Open (JP-A) No. 2015-153914, are limited to surface mounting lines and do not effectively utilize the advancements in information and communication technology to provide comprehensive quality management for various manufacturing lines.

Innovation Solution

A management system that acquires state information from manufacturing equipment, determines events, and displays the likelihood of factors contributing to these events from the perspectives of Machine, Man, Material, and Method, along with images representing the manufacturing lines, allowing for analysis and output of results to identify the causes of events like suspension or abnormalities.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a quality management device is designed for a specific manufacturing line (e.g., surface mounting line), then quality management for that specific line is improved, but the device cannot be used for other manufacturing lines

Engineering Contradiction:
Improvequality management effectivenessVSAvoidapplicability to different manufacturing lines
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The quality management device is designed to collect and analyze state information from multiple types of manufacturing equipment across different manufacturing lines. The system uses a standardized data collection framework that can adapt to various equipment types (sensors, machines, handlers) while maintaining consistent quality management functions, enabling the same device to serve multiple manufacturing lines with different processes and equipment

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Reliability

If state information from all sensors is collected comprehensively, then quality management capability is improved, but system complexity increases

Engineering Contradiction:
Improvequality management capabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system segments state information collection and analysis by manufacturing line, equipment type, and factor category (4M: Machine, Man, Material, Method). Each segment has dedicated data collection and analysis functions, allowing comprehensive monitoring while maintaining manageable system complexity through modular organization of data handling and analysis processes

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system introduces an intermediary analysis layer that processes raw state information from multiple sensors and transforms it into structured quality management data. This intermediary layer includes components that aggregate sensor data, identify events, determine causes using 4M framework, and present results in a standardized format, simplifying the complexity of handling comprehensive sensor information

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS10860004B2Management system and non-transitory computer-readable recording medium
Publication Date: 2020.12.08 OMRON CORP
  • US10860004B2 patent drawing
  • US10860004B2 patent drawing
  • US10860004B2 patent drawing

AI summary

Provided is a management system for performing quality management on manufacturing equipment. A management system that includes: an acquisition component that acquires state information for manufacturing equipment that is subject to management; a determination component that, on the basis of the acquired state information, determines whether an event has occurred; a display component that displays both an image that schematically or realistically represents a manufacturing line included in the manufacturing equipment and, separated into the four perspectives Machine, Man, Material, and Method, indexes that indicate the likelihood that there is a factor that caused an event; and an output component that, when a specific event has occurred, outputs, in response to a user selection, analysis results for each of one or more factors belonging to each of the four perspectives, the analysis results indicating a likelihood of having caused the specific event that occurred.