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Digital Transformation in Manufacturing: 2025 Trends, Success Cases, and Strategies

Digital transformation has reshaped manufacturing. From electronics to automotive production, companies are using AI, digital management, and software to improve quality and reduce costs...

Smart Factory in Southeast Asia: Discover 2025 Trends and Transformation Steps

Driven by advancements in technology, smart factories have become a key competitive goal for the manufacturing industry. But why smart factory? What drives companies to consider smart factory deployment?

Five Steps to Implement HOP on Your Production Line: Data Drift and AI Model Maintenance

This blog shows the five key steps to implement HOP, from decision-making to deployment, highlighting PowerArena’s role in ensuring successful adoption...

What is HOP? 6 Steps to Ready Your Factory for AI Deployment

PowerArena HOP is the solution to help companies achieve production upgrades. However, thorough preparation and planning are necessary before implementing HOP. This article explains HOP’s functions and applications, guides companies through the key points of

How to Master Time and Motion Studies? 5.2% UPH Boosted in Real Case.

A time and motion study is a cornerstone methodology for enhancing productivity by analyzing and optimizing workflows...

Yield 95%: AI in Semiconductor Manufacturing

Global semiconductor market size was valued at USD 611.35 billion in 2023 and is projected to grow from USD 681.05 billion in 2024 to USD 2062.59 billion by 2032, exhibiting a CAGR of 14.9% during the forecast period (2024-2032)...

PowerArena’s HOP: 7 Factory Scenarios Where AI Vision Transforms Manufacturing Efficiency and Quality

As smart factories become the industry standard, the role of AI-driven tools in optimizing production has grown significantly. Among these, AI vision technology has emerged as a critical enabler, transforming how manufacturers manage production line activities and

What is HOP? Top 5 benefits of HOP.

HOP, Human Operation Platform, is PowerArena’s AI-powered smart manufacturing solution. Focusing on labor-intensive production lines...

How to Achieve Data Ownership: A Key Pillar of Smart Manufacturing

When we talk about data ownership, we’re not just referring to who holds responsibility for managing data, but how that data becomes accessible and useful across the entire organization...

AI Vision in Smart Manufacturing: Principles and Applications

The global AI vision market will grow from $34.1 billion in 2024 to $93.73 billion by 2028, with a CAGR of approximately 28.8%...

How to Master Line Balancing in Lean Manufacturing? AI-Powered Success Stories

When properly implemented, line balancing boosts productivity and cuts down on operational inefficiencies, making it an essential technique for lean manufacturing...

Poke Yoke in Manufacturing: How AI Vision Helps Mistake Proofing and Error Prevention

Engineers used to rely on post-production data. They usually found problems after the errors escalated, causing rework or customer complaints. Real-time Poka-Yoke can solve this problem...

Does AI Vision Enhance FMEA?

FMEA is a method used to identify potential failure in design, manufacturing, testing, or operation of a product or system, and assess the impact of those failures. It helps prioritize...

AI Vision Shapes Smart Manufacturing at CIIF 2024

Shanghai recently played host to the 2024 China International Industry Fair (CIIF), an event that spanned five days from September 24 to 28. This year's exhibition, themed “Industrial Synergy, Leading...

How does AI vision upgrade quality management? New tools to assist quality control in improving accuracy and efficiency.

The primary goal of quality management is to ensure consistent quality in products or services. Quality management professionals focus on the following three key areas...

How to Improve Production Line Management Efficiency? Four Key Steps to Success. Upgrade Your Management with AI Vision

Many factories still rely heavily on experienced workers’ oral instructions and accumulated mistakes to gradually establish SOPs that align with the production line process. After repeated practice...

Want to become a Global Lighthouse Factory? 4IR Smart Manufacturing Applications with Real Cases

Lighthouse Factories are built on four key pillars: advanced technology integration, efficient operations, sustainability (ESG), and talent development...

Lighthouse factory

Manufacturing Giants Gather to Discuss AI Transformation Strategies: PowerArena and Mighty Net Reveal the Secrets to Building a AI Factory

On July 26, 2024, PowerArena, in collaboration with Mighty Net, hosted the forum "AI in Factory: From Implementing AI in Factories to Long-term Industry Strategies." The event attracted...

AI
Events

The One and Only New Energy based Lighthouse Factory in the world. Challenges in EV “Smart” Manufacturing and Why is it so hard?

Out of all the lighthouse factories in 2023, only one is in automotive manugfacturing. Only 16 out of the 153 factories selected as lighthouse factories over the years is related to automotive manufacturing...

Base on recent reports of falsifying data in Japanese manufacturers. What can we learn from it and what will be the best way to ensure this will never happen again?

Earlier this year, at 5 different locations, 5 CEOs made almost the same public appearance apologizing to the public for data falsification...

AI in Manufacturing: To Get Practical with Implementing AI in the 4M1E Framework

Needless to say, AI is the number-one trending topic right now. Manufacturers are diving into the field of AI implementation with a mix of excitement and curiosity, eager to explore how this new technology can

COMPUTEX 2024: The Era of AI Industrial Revolution

This year’s Computex opens up like a rock concert, literally in one of the most concerts hosting auditoriums in Taipei, with Jenson Huang taking the stage by storm. Announcing the age of AI is now

2024 AI Trends at a Glance: AI EXPO Taiwan

The "AI EXPO Taiwan 2024" attracted global leaders and experts from industry, government, and academia over a three-day event, showcasing the latest applications and future trends of AI technology in various fields...

AI Flexibility in Action: Building High-efficiency Smart Factories

Imagine an artificial assembly station with a SOP that includes 9 processes, with a standard cycle time set at 45 seconds. After completion, the WIP is handed over to the next station for further assembly.

Global State of EV Manufacturing & Supply Chain: Thailand & Mexico

Thailand is emerging as a regional hub in EV manufacturing, leveraging its strategic geographic location and high logistics performance...

Global State of EV Manufacturing & Supply Chain: China & Taiwan

China is a leader in the supply of raw materials and components for EV manufacturing. This includes the extraction of minerals like lithium and cobalt...

Global State of EV Manufacturing & Supply Chain: The Prologue

20.12.2023 By Dave Chu The Electric Vehicle (EV) manufacturing industry is undergoing a transformation, with significant contributions from China, Thailand, Taiwan, and Mexico. Each region brings unique strengths to the EV supply chain...

LiDAR & Laser Sensor Technologies

The future of autonomous electric vehicles (EVs) is increasingly intertwined with the advancements in LiDAR...

Gogoro Smart Factory AI Vision Deployment

See Through AI: With One Lens At a Time

Video footage captured by a camera installed on a workstation serves as the foundation for AI to learn and recognize the production line. The more AI “sees”...

Factory Management X Smart Factory

Smart Manufacturing & Digital Transformation: Future Roadmap for Smart Factory

These selected factories are undoubtedly the pilot in the industry. So, how did they achieve such success? One of the key factors is “data.” GLN factories implemented 24/7 AI vision...

Human in Smart Factory: Unsung Heroes of Manufacturing

The wave of 4IR has introduced a variety of innovative technologies, many of which have been created for different bottlenecks. These tools soon become the spotlight when they first arrived. However...

Human in Smart Manufacturing: Upskilling and Reskilling A win-win approach in 4IR era

In volatile times, people need the ability to adapt to the environment rapidly. In past years, COVID forced manufacturers to master the challenges of digital transformation, meanwhile, generating a big wave of “reskilling” and...

Human in Smart Manufacturing: Data Driven Decision Making

DDDM, full name as, “Data-Driven Decision Making.” This might be a brand-new idea for most of us. Collecting data is already a big mountain to climb, and now we are further hoping this could drive...

Human in Smart Manufacturing: Thriving in the Era of Smart Tech

In recent years, automatic robots have developed rapidly. In addition to autonomous cars, self-checkout, automated production lines, and smart healthcare, along with COVID, features such as...

AI Vision in Factory: LEAD Time

Data Ownership: Smart Manufacturing on Full Data Support

Data Ownership: Creating Information from Manual Production

Data Ownership: Global Operation Realized by Using AI Vision

Beyond Productivity: Fulfill ESG Metrics from Revolutionize the Production Line

Beyond productivity: Transform Your Smart Factory into High Yield Powerhouse

Beyond productivity: The 4 Aspects of Lean Budget Refinement

Global Renowned Precision Manufacturer Improves Product Quality with HOP AI Poka-Yoke

Result: 19% increase in UPH, maintaining a Yield Rate of 95% and First Pass Yield of 97.6%, fully visualizing the production line paves the way for complete automation and expansion...

From Low-Code to No-Code: An AI Democratization

Applied AI & Digital Transformation

“Learned Value” by Foxconn Lighthouse Factory White Paper

Digital Transformation in Manufacturing: What is the Trend of Future Factories?

Why 100% Automation is Not Possible

Time and Motion Study (Smart Shop Floor Part 2)

Labor Shortages, Manufacturing 2022’s Pressing Issue

How AI Helps Industrial Engineers

How to Stay Competitive for the Manufacturing Industry

The COVID-19 pandemic greatly disrupted the global economy. Manufacturers faced a variety of challenges such as labor shortage, supply chain instability, inventory shortage under a JIT (Just-In-Time) system...