Hitachi Vantara (Hitachi) Case Studies Global Manufacturer Improves Polymer Yield with Industrial IoT Solution

	Global Manufacturer Improves Polymer Yield with Industrial IoT Solution Hitachi Vantara (Hitachi)

Global Manufacturer Improves Polymer Yield with Industrial IoT Solution

Hitachi Vantara (Hitachi)

Technology Category	Analytics & Modeling - Process Analytics Application Infrastructure & Middleware - Data Exchange & Integration Application Infrastructure & Middleware - Data Visualization
Applicable Industries	Chemicals
Applicable Functions	Process Manufacturing
Use Cases	Process Control & Optimization
Challenge	A global manufacturer seeks to improve production yield at polymer mixing process. The company’s polymer mixing process was producing output of inconsistent quality, with yields sometimes dipping as low as 50%. The scrapping of poor batches created huge costs and was crippling production capacity. Dynamic product specification in addition to variation in a range of production parameters causing the trouble. Read More
About Customer	A global rubber manufacturer. Read More
Customer Name	Undisclosed Read More
Solution	Hitachi's advanced analytics platform helped in integrating a wide range of production data and sensors data to visualize, analyze and diagnose the polymer mixing process. Discovered the critical factors and optimal process parameters through correlation, visual analysis, and optimization algorithms. Provided a deep process insight, enabling daily decision support and continuous improvement. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Process Analytics

Application Infrastructure & Middleware - Data Exchange & Integration

Application Infrastructure & Middleware - Data Visualization

Applicable Industries

Chemicals

Applicable Functions

Process Manufacturing

Use Cases

Process Control & Optimization

Challenge

A global manufacturer seeks to improve production yield at polymer mixing process.

The company’s polymer mixing process was producing output of inconsistent quality, with yields sometimes dipping as low as 50%.

The scrapping of poor batches created huge costs and was crippling production capacity.

Dynamic product specification in addition to variation in a range of production parameters causing the trouble.

About Customer

A global rubber manufacturer.

Customer Name

Undisclosed

Solution

Hitachi's advanced analytics platform helped in integrating a wide range of production data and sensors data to visualize, analyze and diagnose the polymer mixing process.

Discovered the critical factors and optimal process parameters through correlation, visual analysis, and optimization algorithms.

Provided a deep process insight, enabling daily decision support and continuous improvement.

Impact #1	Discovered the critical factors and optimal process parameters through correlation, visual analysis, and optimization algorithms.
Impact #2	A deep process insight was achieved, enabling production teams in daily decision support and continuous improvement.
Impact #3	Machine learning helped to further optimize the mixing process.

Impact #1

Discovered the critical factors and optimal process parameters through correlation, visual analysis, and optimization algorithms.

Impact #2

A deep process insight was achieved, enabling production teams in daily decision support and continuous improvement.

Impact #3

Machine learning helped to further optimize the mixing process.

Benefit #1	The solution eliminated over 50% of the poor quality batches, increasing the average yields to above 90%, and cause a Significant reduction in operating costs (multimillions of dollars).
Benefit #2	Increased mixing capacity with raised overall production throughput.

Benefit #1

The solution eliminated over 50% of the poor quality batches, increasing the average yields to above 90%, and cause a Significant reduction in operating costs (multimillions of dollars).

Benefit #2

Increased mixing capacity with raised overall production throughput.

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Overview

Global Manufacturer Improves Polymer Yield with Industrial IoT Solution

Operational Impact

Quantitative Benefit