Starting from observations at TMTS 2026, this article argues that Taiwan’s machine tool industry has reached a critical turning point where AI must evolve from fragmented pilot projects into systematic transformation. Through six dimensions—management methodology, governance frameworks, technology integration, organizational transformation, international compliance, and value realization—the paper highlights that AI success is not determined by isolated technologies, but by leadership, standardized processes, and lifecycle governance. Enterprises that embed AI into core operations and integrate it across systems can convert technological potential into measurable productivity, resilience, and long‑term competitive advantage.
This article argues that the real challenge for AI adoption in the machine tool industry lies not in technology, but in creating practical value for customers and decision‑making. Many firms have completed digitalization but failed to turn data into actionable insights, resulting in increased operational burden. AI should focus on measurable improvements in efficiency, quality, and management outcomes, starting with small, low‑risk applications. As hardware prices become commoditized, future competitiveness will depend on service‑based models and value‑added capabilities rather than equipment sales alone.
In 2026, the global manufacturing industry stands at a critical crossroads of transformation. Following years of supply chain restructuring and technological iterations, Taiwan’s machine tool industry is witnessing a significant economic rebound in 2026. Bolstered by a stabilizing international trade environment, Taiwanese products—renowned for high quality, flexibility, and cost-performance—have officially joined the ranks of "Most Favored Allies" within the global green supply chain. Against this backdrop, the Taiwan International Machine Tool Show (TMTS 2026) will grandly debut from March 25 to 28, 2026. Under the core theme "AI-Powered Sustainable Manufacturing," the event utilizes three primary drivers—Intelligence, Green Transition, and Ecosystem Integration—to propel Taiwan’s manufacturing sector toward a higher echelon of digitalization and internationalization.
This study develops an automated geometric error measurement and compensation system for the dual rotary axes (A- and B-axes) of a horizontal five-axis machining center in accordance with ISO 230 standards. A single-point touch probe, homogeneous transformation matrices, and a two-stage batch analysis strategy are employed to identify location and motion-dependent errors. The system integrates OPC UA communication to automatically generate and import volumetric compensation data into the CNC controller. Experimental results and NAS979 cutting tests confirm that the proposed approach significantly improves rotary-axis accuracy and overall volumetric precision.
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