From Manufacturing Precision to Management Precision: Ho Song Uses AI to Strengthen Semiconductor Component Production Management

August 18, 2026 15:23 Commercial Times by Li Shu-Hui

Ho Song Enterprise has introduced HSE NOVA, an AI-powered intelligent management platform developed in-house, integrating ERP, MES, and production data. Starting with production scheduling and management, the platform enables the factory to monitor equipment workloads and operational exceptions in real time, improving management precision in the manufacture of precision components for semiconductor equipment. Photo courtesy of Ho Song.

As the semiconductor equipment industry continues to grow, precision manufacturers often respond to demand by purchasing equipment, expanding capacity, and increasing staffing. However, as factories scale up, another challenge emerges: while production capacity can be increased gradually, the complexity of production management and scheduling often grows at an even faster pace.

Semiconductor equipment components in particular are characterized by High-Mix, Low-Volume production, with different parts following different process routes. As the number of machines, personnel, and work orders continues to increase, the equipment workloads, process handoffs, and delivery priorities that must be coordinated also rise rapidly, causing management complexity to grow almost exponentially. How to advance from “manufacturing precision” to greater “management precision” has therefore become a new challenge.

Ho Song continues to invest in five-axis machining, wire EDM, automation, and precision metrology equipment, while building integrated capabilities spanning precision machining, quality inspection, special processes, and supply chain management to meet customers’ stringent requirements for precision, quality, and delivery. Photo courtesy of Ho Song.

Ho Song Enterprise (HSE), long dedicated to the manufacture of high-precision metal components, has continued in recent years to deepen its presence in semiconductor equipment components, with the semiconductor sector now becoming one of the company’s key core businesses. To meet customers’ stringent requirements for precision, quality, and delivery, Ho Song continues to invest in five-axis machining, wire EDM, automation, and precision metrology equipment, while building integrated capabilities spanning precision machining, quality inspection, special processes, and supply chain management.

In its management systems, Ho Song also continues to strengthen quality and operational management in accordance with international standards, including ISO 9001, ISO 13485, AS9100, and ISO 27001 quality and information security management systems. These systems support the semiconductor equipment supply chain’s requirements for consistent quality, process traceability, information security, and reliable delivery.

However, adding equipment addresses the issue of capacity; how effectively that additional capacity is utilized is a management challenge.

In the past, Ho Song accumulated a large volume of production information through ERP, MES, and Excel files maintained independently by different departments. Because the data was dispersed across multiple sources, employees still had to spend considerable time searching, organizing, and cross-checking information, leaving less time for actual analysis and problem solving.

To address this, Ho Song independently developed HSE NOVA (Next-generation Operations & Value Architecture), an intelligent management platform that connects ERP, MES, Excel, and other operational information. The platform integrates, condenses, and categorizes data according to management needs, making abnormalities and issues hidden within large volumes of data easier to identify.

Data integration itself is not a new concept. NOVA’s more significant breakthrough lies in the change AI brings to the software development model. In the past, small and medium-sized enterprises needing customized systems generally relied on external software companies. Yet users found it difficult to define all requirements at the beginning of a project, and every modification involved communication, quotations, development, and testing—raising costs and extending the time required for improvement.

With AI technology, Ho Song has rapidly built internal AI-assisted software development capabilities, enabling functions to be created and modified quickly based on user feedback and then validated in the actual operating environment. This allows the system to evolve continuously with shop-floor needs. For the fast-changing, High-Mix, Low-Volume production of semiconductor equipment components, the management system can therefore keep pace with production changes more quickly.

At this stage, NOVA begins with production management and scheduling, but this is only the first step. What Ho Song ultimately aims to build is not another single-purpose management system, but a management architecture that can continuously expand as the company grows.

Business problems rarely stem from a single cause. Delivery abnormalities may be related to equipment workloads, but they may also involve staffing, quality, materials, or the supply chain. Therefore, in its next phase, NOVA will progressively connect quality data, workforce performance, and additional operational information, allowing previously fragmented data to become interrelated.

NOVA’s long-term goal is to move from “managing one thing” to “understanding the entire company.” As data continues to accumulate and additional management logic is incorporated, combined with rapid iteration enabled by AI development capabilities, Ho Song aims to build a central enterprise management hub tailored to its own manufacturing model, management experience, and business needs—ultimately forming a true “digital management brain” of its own.

If business operations are compared to the human body, NOVA is like an ongoing “health check.” It does not prescribe solutions directly for managers; instead, it identifies abnormalities within large volumes of information so that problems surface earlier, allowing the management team to determine causes, repeatedly validate them, and take corrective action.

Let the System See the Problems, So People Can Focus on Solving Them

AI and NOVA are an extension of Ho Song’s many years of experience in manufacturing components for semiconductor equipment. From precision machining, quality measurement, process and supply chain integration to AI development and intelligent management, Ho Song continues to strengthen its overall competitiveness in the manufacture of semiconductor equipment components.

If manufacturing precision determines how well a component can be made, management precision determines whether a factory can consistently and reliably produce complex components to the required standard and deliver them on time.