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ASMPT has been recognized by Semiconductor Review Magazine as “Top 10 Semiconductor Packaging Solutions Companies - 2022” based on our proprietary methodology, reflecting its position in the industry. This profile has been developed by the Semiconductor Review research and editorial team based on insights from an interview with Robin Ng, Group CEO.
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ASMPT’s comprehensive range of solutions truly link the entire semiconductor packaging and assembly value chain. Its diverse portfolio ranges from wafer-level to die-level high-accuracy placement tools and SiP placement tools and addresses a broad range of packaging technologies such as 2.5D, 3D-IC, Fan-in, Fan-out Wafer-Level, and SiP.
ASMPT’s customers span the globe across many industries. They use ASMPT’s tools to organise, assemble, and package delicate electronic components into a vast range of end-user devices that go into computers, servers, smartphones, wearables, LED displays, and more.
“We give our customers the ability to create and make the digital products that anchor all of modern society. When you use a phone, a modern car, the latest computers, smart wearables, healthcare devices at doctors or hospitals, smart homes, or Internet computing, chances are that our solutions enabled the manufacture of the electronic chips or components in those items,” explained Mr. Robin Ng, Group CEO, ASMPT.
ASMPT’s two main business segments - Semiconductor Solutions (SEMI) and Surface Mount Technology Solutions SMT) - offer products and solutions across mainstream, applicative, and advanced tools. This comprehensive capability gives ASMPT the ability to moderate the cyclical revenue and profitability trends that are quite typical in semiconductor and electronics manufacturing. ASMPT is progressively creating conditions for sustained structural revenue growth and margin expansion, building a robust and enduring foundation for a bright and sustainable future for the company and its various stakeholders.
Backed by Committed, Comprehensive R&D
ASMPT’s solutions leadership is in no small part due to its consistent commitment to devoting around a significant proportion of its equipment revenue to R&D. Over time, this has enabled them to build a deep R&D talent pool and comprehensive in-house processes, development capabilities and expertise.
One noteworthy feature of ASMPT’s R&D organization is its Enabling Technologies Group (ETG) that focuses on core competency development in key areas such as vision, motion, and vibration. This focus is integral to helping address the important challenges ASMPT’s customers face. The company also collaborates strongly with industrial and academic institutions as it develops many of its advanced technologies, always remaining open to cooperation with good partners for the benefit of its customers.
“With our commitment to R&D and partnership with customers for success, we are progressively weaving software solutions into our mix of offerings, both through targeted acquisitions and organic development,” added Mr. Ng.
The ‘Artificial Intelligence of Things’ Approach
ASMPT has also developed a robust Artificial Intelligence of Things or ‘AIoT’ approach that involves infusing AI capabilities into ‘smart assembly lines,’ enabling equipment to independently examine data, analyse it, make decisions, and to act based on those decisions. The core of its AIoT approach is a software engine that utilizes advanced machine learning algorithms to process manufacturing data to enable predictive maintenance and procedure tweaks for improving equipment uptime and yields.
When you use a phone, a modern car, the latest computers, smart wearables, healthcare devices at doctors or hospitals, smart homes, or Internet computing, chances are that our solutions enabled the manufacture of the electronic chips or components in those items
This is a nascent area for ASMPT, but it is confident that its small but growing software business will progressively deliver significant value to customers and positively impact other areas of the business, including the potential to evolve into a key business of its own in time.
The ‘Open Automation’ Concept
ASMPT collaborates closely with clients to understand their needs and develops solutions, taking into consideration the voice of the customer.
This can be seen in ASMPT’s development of the world's first self-learning Solder Paste Inspection (SPI) inline expert system - a combination of the industry-leading SPI system Process Lens and the expert software WORKS Process Expert. Based on open, standardized protocols that enable third-party systems integration, this expert system learns from every printing and assembly process via collecting and evaluating all relevant data from production lines. This "Big Data + Machine Learning" capability enables better insights, greater efficiency, and quality, but above all, full autonomous control, and optimization of the printing process. Built on Open Automation principles, implementation can be done in four separate steps that take the system to a new and higher level of automation, depending on a customer’s schedule.
Harnessing Robust Organic Growth, Smart Acquisitions, and Partnerships
In early 2021, ASMPT began a series of strategic growth initiatives across the company that are unfolding in distinct phases over several years.
“We are harnessing a combination of robust organic growth, smart acquisitions and key partnerships in order to build out our portfolio to address customer and technology needs,” explains Mr. Ng. “Our approach to inorganic growth—acquisitions and partnership—distinctively complements our strong in-house capabilities. We always seek to invest ‘ahead of the curve’ to capture opportunities in growth areas, and we have a strong record of successful integration.”
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Company
ASMPT
Management
Robin Ng, Group CEO
Description
ASMPT provides a wide range of solutions that truly link the entire semiconductor packaging and assembly value chain; in this sense, ASMPT can be considered ‘The Total Interconnect Company.’ Its diverse packaging portfolio spans wafer-level to die-level high-accuracy placement tools and SiP placement tools, addressing a broad range of packaging technologies