Maximize plant productivity using AI

Increase manufacturing efficiency through harnessing the power of AI-driven insights and real-time decisioning.

Solving manufacturing challenges

Our solutions consider pandemic-related manufacturing challenges to fix inefficiencies at the root of the problem

Master Erratic Customer Demand

MANUFACTURING SOLUTION

Optimize demand predictions through cutting-edge Machine Learning forecasting techniques and external data sources to maximize working capital.

Maximize Legacy Machinery OEE

MANUFACTURING SOLUTION

Get the most out of legacy machinery by leveraging AI-based predictive maintenance to maximize equipment performance and lifespan.

Minimize Raw Material Challenges

MANUFACTURING SOLUTIONS

Minimize supply and demand volatility impacts through more accurate supply and demand predictions.
Dynamically optimize safety stock and re-order points based on an ever-changing supply chain and customer demand patterns.

Minimize Labor Shortage Disruptions

MANUFACTURING SOLUTIONS

Leverage AI and automation to minimize the impacts of labor shortages on production capacity.
Optimizes workforce staffing to get the most from your existing team.

OUR SOLUTIONS

Leverage Aimpoint Digital’s pre-developed solutions to accelerate time to value

Aimpoint Digital’s proprietary AI in Manufacturing solutions guarantees our client’s results that maximize returns on investments.

Throughput Optimization

Throughput optimization is a high ROI application of data science and operations research in the manufacturing space. Our solutions in this area have proven to drive value upwards of 15% in production rate improvements.

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Data

Machine Failure Data
Operational Data
Product Data
KPI Data
Scheduling Data

Approach

Discrete Event Simulation
Multi Objective Optimization

Technology

Data Stream
Flexible Data Storage
Data Visualization
ML/AI Libraries
Edge Computing

Insights

Dwell Time Predictions
Detailed Visibility
Optimal Schedule Generation

Value

Increase in production yield by up to 15% across numerous different products

Predictive Maintenance

Predictive maintenance is a way to leverage current assets more effectively by increasing lifespan, by up to 20%, and minimizing unexpected downtime.

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Data

Machine Failure Data
Historic Production Delays
Operational Data
Product Data

Approach

Time To Events Modeling
Survival Analysis
Time Series Analysis

Technology

Data Stream
Flexible Data Storage
Data Visualization
ML/AI Libraries
Edge Computing

Insights

Breakage Time Analysis
Downtime Optimization

Value

Large reduction in manual inspection time and maintenance planning optimization

Digital Twin

A comprehensive view of a plant floor encourages screnario testing without disruption to active processes. A digital twin also enables near real-time monitoring and alerting is an emerging frontier of active research in DS and OR.

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Data

Machine Maintenance Data
Real-Time Operation Data
Product Data
Scheduling Data

Approach

Discrete Event Simulation
Optimization
Machine Learning

Technology

Data Stream
Edge Computing
Parallel Modeling

Insights

Improved Production Planning
Optimal Resource Allocation

Value

Has been proven to provide OEE gains of up to 20%

Product Quality Analysis

Quality analysis software allows companies to determine optimal actions to take to improve product and output quality.

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Data

Process Parameters Data
Yield Data
Product Data
KPI Data
Production Volume Data

Approach

Causal Inference
Machine Learning

Technology

Object Oriented Programming
Big Data
Parallel Computing

Insights

Optimal Machine Settings
External Driver Analysis

Value

Potimizing machine settings and material flow can improve product quality and reduce waste by 10%

Machine Explainability

Software solutions allowing increased visibility and understanding of why certain things are occurring in the plant improve efficiency and reduce waste.

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Data

Process Parameters Data
Yield Data
Production Volume Data
KPI Data
Production Data

Approach

Regression Analysis
Causal Inference

Technology

Streaming Data
Flexible Data Storage
Data Visualization
ML/AI Libraries

Insights

Optimal Machine Settings
Optimal Production Sequences
Optimal Down Times

Value

Increased understanding of plant machinery allows better utilization of resources and lifetime

Demand Forecasting

Enterprise scalable forecasting solutions allow dynamic time series analysis within material production scheduling and machine instance output.

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Data

Cloud VPS
On-Prem Data
Local Deployment

Approach

Automated Machine Learning
Model Factory
Time Series

Technology

Parallel Computing
VCPU/VRAM
Cloud Infrastructure

Insights

Forecasting
Trends/Pattern Extraction
Granular Modeling

Value

Understanding future operational/production requirements for optimized supply/demand mapping

Knowledge Center

AI in Manufacturing White Paper

The COVID-19 pandemic has forever changed how manufacturing and supply chain functions operate and view the necessity of digital capabilities. The pandemic exposed significant weakness across global manufacturing, supply chain, and distribution networks. Following the shutdown of a number of manufacturing facilities at the onset of this pandemic, manufacturing plants have been playing catch up in an era of labor shortages, raw material scarcity, wild swings in customer demand, and economic uncertainty.

AI in Manufacturing White Paper