Mariner Case Studies How AI is Transforming Manufacturing

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	How AI is Transforming Manufacturing Mariner

How AI is Transforming Manufacturing

Mariner

Technology Category	Analytics & Modeling - Machine Learning
Applicable Industries	Automotive
Applicable Functions	Discrete Manufacturing
Use Cases	Factory Operations Visibility & Intelligence
Services	Software Design & Engineering Services
Challenge	Allowing defects to escape the factory damages customer relations and the brand, and leads to costly rejects or returns, while overcontrolling for defects internally leads to high labor, scrap, and rework costs. The pernicious problem of defect detection was supposed to be solved by machine vision inspection, but in many instances machine vision systems are not up to the task. No condition monitoring on valves & motors. Root cause analysis on failed equipment was difficult or nonexistent. Engineers spend hours per week producing spreadsheets and analytics. Read More
About Customer	Global Chemical & Textiles Company. Read More
Customer Name	Milliken Read More
Solution	Deployed AI for machine vision in the manufacturing plants. Ingests BoMs, engineering drawings, and parts specs to generate an understanding of what a complicated assembly should look like – and then watches the article on the line to make sure that assembly is correct at each station. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Applicable Industries

Automotive

Applicable Functions

Discrete Manufacturing

Use Cases

Factory Operations Visibility & Intelligence

Services

Software Design & Engineering Services

Challenge

Allowing defects to escape the factory damages customer relations and the brand, and leads to costly rejects or returns, while overcontrolling for defects internally leads to high labor, scrap, and rework costs. The pernicious problem of defect detection was supposed to be solved by machine vision inspection, but in many instances machine vision systems are not up to the task.

No condition monitoring on valves & motors.
Root cause analysis on failed equipment was difficult or nonexistent.
Engineers spend hours per week producing spreadsheets and analytics.

About Customer

Global Chemical & Textiles Company.

Customer Name

Milliken

Solution

Deployed AI for machine vision in the manufacturing plants. Ingests BoMs, engineering drawings, and parts specs to generate an understanding of what a complicated assembly should look like – and then watches the article on the line to make sure that assembly is correct at each station.

Impact #1	[Process Optimization - Real Time Monitoring] Alerting/Monitoring when detecting emergent conditions sooner rather than later.
Impact #2	[Process Optimization - Predictive Maintenance] Predictive maintenance reduces unplanned downtime by predicting the probability of failures that impact operations

Impact #1

[Process Optimization - Real Time Monitoring]

Alerting/Monitoring when detecting emergent conditions sooner rather than later.

Impact #2

[Process Optimization - Predictive Maintenance]

Predictive maintenance reduces unplanned downtime by predicting the probability of failures that impact operations

Benefit #1	97.7% ResNet accuracy - classification accuracy on held-out test set.
Benefit #2	30X false rejects reduction.
Benefit #3	2-5X improvement over manual Inspection.

Benefit #1

97.7% ResNet accuracy - classification accuracy on held-out test set.

Benefit #2

30X false rejects reduction.

Benefit #3

2-5X improvement over manual Inspection.

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Overview

How AI is Transforming Manufacturing

Operational Impact

Quantitative Benefit