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Semiconductor Blog

Learn how semiconductor factory automation experts are navigating technology, people, and market dynamics to gain competitive advantage in semiconductor manufacturing. Popular semiconductor categories include MES, AI/ML technologies, quality, productivity, scheduling, use cases, and smart manufacturing.

Mitigating cybersecurity challenges for the semiconductor industry

The industry is a significant target of cyber-attacks, but there are ways to reduce the risk

Semiconductor AI/ML technologies

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Retrieval-Augmented Generation in semiconductor manufacturing

Retrieval-Augmented Generation in semiconductor manufacturing

Understanding the importance and evolution of RAG

Integrating Generative AI into the industrial engineering workflow

The potential to turn complexity into clarity could be a game changer for industrial engineers tasked with managing complex data.

The potential to transform reporting with FactoryView and AI (Part 2/2)

Improve user experience and factory outcomes with AI

The potential to transform reporting with FactoryView and AI (Part 1/2)

Transform factory operations with an advanced decision support system

The integration of AI and cloud technologies (Part 1/2)

As AI deployment grows, cloud could pave the way forward

The integration of AI and cloud technologies (Part 2/2)

Deciding when and how to move AI to the cloud based on scalability and flexibility

AI integration is transforming manufacturing KPIs

Semi manufacturers are accelerating factory performance and uncovering new business opportunities

Enhance semiconductor business operations with AI-powered solutions

Benefits to quality and productivity help manufacturers stay ahead of demand
The significance of data and model management for deploying AI

The significance of data and model management for deploying AI

Orchestrating scalable AI solutions

Semiconductor Manufacturing Execution

MES videos
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Abstract futuristic data visualization with glowing blue lines and vertical light markers over a dark background, suggesting a data stream or network flow.

How Advanced Packaging MES helps ATP facilities recover capacity

Legacy back-end MES systems are no longer enough
Overhead view of a high-tech factory floor with automated machines and teal data-network overlays illustrating digital connections.

From data to decisions

How AI-enabled digital twins are transforming semiconductor manufacturing

Manufacturing discipline starts at the substrate: Why execution can’t wait for the fab

Front-end execution increasingly determines semiconductor outcomes
Predict, don’t react

Predict, don’t react

Why predictive monitoring is essential for maximizing uptime in semiconductor manufacturing

From downtime to uptime: the case for spares kitting in modern semiconductor manufacturing

The right parts, at the right place, at the right spec and in the right time

MES: Past, Present, Future

The evolution of MES from a simple paper replacement to the backbone of the factory, and what’s next

From chaos to harmony: Solving the configuration challenge in semi manufacturing automation

Rethinking how configurations are used to improve productivity

Smarter alarm management: The hidden cost of alarm fatigue

The right alarms at the right time, to the right people

MES in the mask shop: Round versus square, wafer versus reticle (Part 1 of 4)

Comparing operational efficiency and product quality across two familiar manufacturing paradigms

Semiconductor Quality

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How a leading memory manufacturer transformed dry etch process control

How a leading memory manufacturer transformed dry etch process control

Reducing false alarms and optimizing UVA specifications through data-driven intelligence
Factory worker in a cleanroom suit operates automated production machines on a high-tech line with blue lighting and data visualization.

End-to-End Quality Intelligence in Manufacturing

The next frontier is connected, contextualized intelligence from supplier to customer

Supplier quality is a key contributor to enhancing Quality by Design practices

Improving quality systems for semiconductor manufacturing

Synergizing Fault Detection and SPC: smarter manufacturing solution for cost reduction

Integrating the functions of Statistical Process Control (SPC) and Fault Detection (FD) helps semiconductor manufacturers achieve higher quality, reliability, and efficiency
Benefits of unifying process control in semiconductor manufacturing

Benefits of unifying process control in semiconductor manufacturing

Achieve better detection, decision making, and costs through unified process control

Enhance manufacturing efficiency with SmartFactory Unified Process Control

Explore AI-driven process quality improvement with SmartFactory’s UPC solution in this engaging article by Applied SmartFactory.

Improve yield for better profitability, less waste with SmartFactory SPC

Automating analytics reduces defects, optimizing continuous improvement

Moving toward zero-defects manufacturing with gusto to make your factories smarter

This blog series discusses strategies, priorities, and challenges manufacturers face to automate factories of any size to move the needle towards zero defects manufacturing
Zero-defect strategy steering the automotive manufacturing electronic revolution

Zero-defect strategy: steering the automotive manufacturing electronic revolution

Increase yield and reduce costs of non-quality in automotive manufacturing

Semiconductor Productivity

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Removing barriers to achieve higher levels of automation in the semiconductor industry

Advancements are helping legacy fabs deploy automation solutions

Unveiling the Advantages of Reinforcement Learning

Explore how reinforcement learning offers a revolutionary approach to using real world data to solve complex scheduling and dispatching challenges in semiconductor manufacturing.

Establishing a blueprint to optimize productivity with advanced factory automation

Envisioning where you are and how to get there to ease deployment, ensuring smart manufacturing.

SmartFactory Private Cloud – Part 1: Roadmap to Deployment

Framework makes it easier to plan and implement APF solutions in the cloud
Evolutionary Blog Card Image

Evolutionary optimization of dispatch rule parameters

Dynamically optimize a dispatch rule’s parameters for better lot scheduling.
Common Data Model enables RAPID deployment for productivity solutions

Common Data Model enables RAPID deployment for productivity solutions – Challenges (Part 1/3)

Data challenges for rapid deployment of factory productivity and supply chain solutions
Common Data Model Enables Rapid Deployment for Productivity Solution

Common Data Model enables RAPID deployment for productivity solutions – Solutions (Part 2/3)

Common data framework for rapid deployment of factory productivity and supply chain solutions
Productivity Solutions Dispatching and Reporting

Common Data Model enables RAPID deployment for productivity solutions – Dispatching and Reporting (Part 3/3)

Improve cycle time by 10% in less than 6 months using SmartFactory Dispatching Solution
Optimize factory performance

Optimize factory performance

Madhav Kidambi describes how to improve factory performance from the enterprise down to the factory floor.

Semiconductor Planning

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Boosting Productivity with Advanced Planning Scheduling Solutions

Boosting productivity with advanced planning & scheduling solutions

New ways to streamline device production processes and wring higher productivity

Semiconductor Scheduling

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The human variable

Why AI success in fabs depends on people, not algorithms

From reactive to predictive: the integrated fab in action

How AI agents connect the fab

The virtual industrial engineer

AI agents as your always-on factory intelligence

The fragmented fab: why your productivity stack isn’t delivering

The hidden cost of disconnected systems
Abstract blue and purple data waves flowing over a circuit-like grid, symbolizing digital networks and computing.

The power problem

Why energy management is the next frontier for fab competitiveness

Using a framework to validate factory scheduling solution systems (Part 1/2)

A quality factory scheduling solution can improve equipment productivity, product quality, and on-time delivery of products

Using a framework to validate factory scheduling solution systems (Part 2/2)

Make more advanced validations and fine tune the schedule generated by a factory schedule solution system to get the most from your semiconductor factory

Pros and cons of various scheduling solutions for semiconductor factories

Choose scheduling that will be the right fit for your factory needs
Analyze Impact of Dispatching and Scheduling Algorithms on factory kpis

Analyze impact of dispatching and scheduling Algorithms on factory KPI’s

Use APF Fusion® to integrate dispatching and scheduling algorithms.

Semiconductor Use Cases

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Production Control

Avalign Technologies improved planner productivity by approximately 75% using SmartFactory Production Control

Production Control simulation identifies roadblocks and overcomes challenges
Infineon Technologies maximizes ROI real-time with SmartFactory Activity Manager®

Infineon Technologies maximizes ROI real-time with SmartFactory Activity Manager®

Activity Manager quickly tests models, puts data in easy-to-compare interface
Infineon Technologies describes how they optimize productivity

Infineon Technologies describes how they optimize productivity

Enable dispatching, planning, and scheduling solutions integrated with real-time data to boost factory productivity.
UMC describes how they achieved manufacturing operations excellence

UMC describes how they achieved manufacturing operations excellence

UMC integrates real-time dispatching, full automation workflow, MES 300works® and more.

Semiconductor Smart Manufacturing

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Incremental automation delivers early wins and long-term gain

How SmartFactory enables a phased approach to fit specific manufacturers’ needs

Bridging the talent gap

How the semiconductor industry is responding to a design workforce crisis

Navigating the challenges of chiplets, 3D stacking and sustainability

Automation solutions need to keep up with increased complexity

Smart Manufacturing Evolution

Origins of manufacturing – what makes it smart?
(Part 1 of 3)

Smart Manufacturing Evolution

India’s opportunity to leapfrog manufacturing automation technology
(Part 2 of 3)

Smart Manufacturing Evolution

Key elements for leaping ahead in factory automation
(Part 3 of 3)

Manufacturing automation software helps achieve efficiency and sustainability goals

Advance factory automation to optimize manufacturing processes and reduce waste

Next-Generation of Advanced Automation Solutions

Increasing quality and productivity in factories of any size with Applied SmartFactory integrated automation solutions for semiconductor manufacturers

What is Smart Manufacturing?

We define smart manufacturing as striving for zero defects and optimal asset utilization of trying to get the most out of what you have. This allows you to drive the highest quality in your semiconductor factory and create the most profit from your operations.

Semiconductor Webinar Replays

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AI, security, and smarter operations

Get a first look at upcoming 300works and ATP enhancements, AI-driven MES opportunities, and key roadmap updates. Plus, Dan Meier, Christian Elggren, Jamie McKenzie, and Sid Agarwal will go through deep-dive demos of the latest capabilities, including new ways to personalize FactoryView dashboards and improve visibility across your operations.

End-to-End quality intelligence in manufacturing

This webinar, led by Yoram Barak, Selim Nahas, and Dan Meier, delves into the benefits of quality across the entire manufacturing ecosystem. Learn about SmartFactory’s 360-degree approach, hear an expert panel share challenges and opportunities, and learn about the potential impact of AI.

AI-powered Auto-Defect Classification for next-generation quality control

Vishali Ragam discusses how SmartFactory Defect Classification uses AI to accelerate time-to-value with production-ready AI models deployed in days. Through expert insights and deep-dive demonstrations, you'll see how automated defect classification can deliver faster decisions, greater consistency, and scalable results across development, ramp, and high-volume manufacturing.

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