Manufacturing

ISA-95 has become an important indicator and standard for companies promoting DX (Digital Transformation) and aiming for automation and efficiency in manufacturing. Among these, many may have heard the concept of the “Automation Pyramid” when advancing business reforms in the field and office. However, not many people truly understand its structure and meaning. This article...

As DX accelerates, manufacturing companies seem to be making their factories or headquarters smarter and more efficient by utilizing new technologies to realize DX transformation. Among these, MES and SCADA are attracting the attention of many managers as tools that help improve the efficiency of both machines and operators. But how should you implement MES,...

Across many industries, the COVID-19 pandemic is expected to deepen an already worsening labor shortage. Manufacturing in particular struggles to attract workers’ attention because of its reputation for the “3Ks” — kitsui (demanding), kitanai (dirty), and kiken (dangerous). With that background in mind, this article considers what manufacturers can do to manage production more efficiently....

COBOL was born in 1959, which makes it more than 65 years old (67 as of 2026). Even so, this decades-old language that runs on mainframes has proven its staying power, surviving the pandemic and the arrival of every generation of newer programming languages, and it is still used by many developers today. That track...

Across Asia, manufacturing hubs are moving beyond traditional automation and real-time visibility, especially in high-precision sectors. They are shifting toward AI-driven operations to accelerate shop-floor decision-making and maintain a competitive edge. This article explores why factories across major industrial markets are adopting AI-driven models, outlines how to prioritize deployment, and highlights six high-impact AI use...

Manufacturing leaders across Korea and global markets have poured resources into automation and digital transformation for years. Yet many still find themselves facing persistent challenges: unexpected machine breakdowns, quality variations that appear without warning, and production schedules that fail to adapt quickly to changing demands. For C-level executives in semiconductor, electronics, automotive parts, and precision...

In today’s fast-evolving manufacturing landscape, many factories across the globe have invested significantly in automation, IoT sensors, and basic connectivity. Production lines run smoother, robots handle repetitive tasks, and dashboards display real-time machine status. Yet, despite all this technology, operational intelligence remains elusive. The solution lies in transitioning to an AI-driven factory architecture — a comprehensive...

In the era of AI-driven manufacturing, achieving consistent product quality at high speed while minimizing waste has become one of the biggest challenges for manufacturers across APAC. Traditional manual inspection, despite being widely used, can no longer cope with increasing product complexity, tighter quality standards, and the pressure to deliver near-zero defect rates. Vision AI...

What Is Predictive Maintenance? Definition in a Manufacturing Context Predictive maintenance (PdM) is a condition-based maintenance strategy that uses real-time equipment data — collected via sensors, PLCs, and machine signals — to detect early signs of failure before they cause unplanned downtime. Rather than following a fixed schedule or reacting to breakdowns after the fact,...

In APAC manufacturing, many factories have invested heavily in digital systems and automation, yet struggle to achieve expected improvements in OEE, downtime reduction, and operational efficiency. The root cause is not a lack of technology, but a gap in how decisions are made on the shop floor. Most Smart Factories still rely on rule-based automation,...