Andon

Introduction

The Andon system, originally developed as a managerial method within the Toyota Production System, has evolved into a cornerstone of lean manufacturing, enabling rapid identification and resolution of production issues. Advantech’s iFactoryWorks Andon software elevates this concept by digitizing the process and enhancing decision-making with AI. Through intuitive web interfaces and mobile devices like tablets, real-time reporting of incidents and anomalies is made effortless, ensuring swift, informed responses and driving operational efficiency in modern manufacturing environments.

Features

01

Faster Response

The visual display of problems can be better understood by reducing the wasted time involved in finding information about the shutdown of a production line.
02

Better control

Better control: By predicting problems, Andon enables maintenance teams and managers to better control the production chain. Visual or sound displays promote better internal communication among operators and supervisors.
03

Data collection

Data collection: To develop and maintain an effective management system, information about the functions of the production chain must go from the lowest level of the organization to the decision-making top.

Demonstration

Event Management

To avoid situations where event descriptions are purely textual, which could lead to confusion in subsequent analysis and result in the records being underutilized or becoming useless data, users are allowed to categorize common abnormalities and review past abnormal states alongside event records
Customize Report Layout

The highly customized button interface allows you to adjust the configuration according to actual usage needs without wasting any space.
Failure Metric Tracking

By tracking and analyzing failure metrics, including MTBF/MTTR/MTTD ratios and abnormal root causes.
Anomaly Overview Dashboard

Anomaly Overview Dashboard shows real-time anomaly status of production lines and stations.
Abnormal Event Record

Field status layout shows real-time status of machines and stations, which helps users identify problem.