Factory Automation


Data Collection/Analysis

The Cycle for shop floor Improvement With Data Utilization

Improving productivity, quality, and energy efficiency by utilizing shop floor data to find the key to solving production issues and promoting improvements

Targets Setting

What is the issue? What is the current status? What needs to be solved?


Clarify what issues should be solved.

Identify managerial issues

  • Productivity improvement
  • Quality improvement
  • Energy saving & conservation

Break down the issues

Break down each managerial issue into more specific shop floor issues for which solutions can be devised.

Application of data collection/analysis solutions

➊ Data collection

What kind of data should be collected and how?


Select and collect data based on knowledge in equipment and production processes.

Factor analysis, data selection, and data collection

Select, collect, and accumulate the data necessary for solving the shop floor issues based on the engineer’s wealth of experience, intuition, and knowledge.

❷ Visualization

Visualization of collected data and confirmation of the effectiveness of improvements


Quantify the current situation and gain awareness.

Data visualization

Display the collected data in an easily viewable format, to provide a visual indication of the status of the shop floor.

➌ Analysis

Factor analysis from collected data


Find the factors necessary for improving the shop floor and solving issues.

Data analysis

Use the collected data to analyze problem-solving factors.

➍ Diagnosis

Data diagnosis based on the analysis results


Evaluate the improvements made and issues solved and create a continuous cycle for improvements.

Improvements using a diagnostic system

Create diagnostic rules based on the analysis results, diagnose the collected data in real time, and provide the shop floor with feedback.