When automated guided vehicles and intelligent warehousing begin to replace dense manual handling on fiberglass roving, electronic yarn, and electronic cloth production lines, the production function of the composites industry is being redefined. At the 29th China International Composites Expo held in Shanghai in September 2026, several smart equipment makers showcased full-process intelligent logistics solutions, sending a clear signal: the next phase of competition in fiberglass manufacturing will no longer be solely about furnace scale or spinning speed, but about system integration capability.
Event Background
This expo, regarded as a bellwether for the global composites industry, attracted numerous companies across the supply chain. Notably, Hall 7.2 featured a dedicated zone for 'fiberglass industrial fabric products + smart manufacturing equipment,' placing material producers and equipment suppliers in the same space—an indication of the industry's growing emphasis on manufacturing upgrades. Companies like BZ Tech presented intelligent logistics solutions covering the entire production flow—from roving to electronic yarn to electronic cloth—alongside R&D achievements in fiberglass electronic cloth looms. These solutions are not just conceptual; they have already been deployed at leading firms such as China Jushi, International Composites, Taishan Fiberglass, and Changhai Fiberglass.
From the technical details on display, the system integrates IoT, big data, machine vision, and AI, targeting three core pain points: reducing labor dependence, improving line efficiency, and enabling full traceability. For fiberglass plants, this means that processes once reliant on skilled workers—handling, inspection, scheduling—are increasingly being taken over by automated equipment and intelligent systems.
Industry Impact
The fiberglass industry has long been viewed as capital-intensive, but labor costs still account for a significant share of total product cost. For electronic-grade yarn and cloth, which demand high cleanliness and consistency, quality fluctuations caused by manual operations have been a major bottleneck to yield improvement. Intelligent logistics systems reduce direct contact between personnel and materials, lowering contamination risks and operational errors—particularly critical for electronic-grade products.
A deeper impact lies in the transformation of supply chain management. When real-time data across the entire process is collected and interconnected, factories can optimize production rhythm dynamically, not just automate individual machines. For example, inventory levels of roving, waiting times for looms, and dispatch order of finished goods can be centrally scheduled. For buyers, this means more stable delivery commitments; for trading companies, it means stronger traceability—a capability increasingly becoming a hard requirement as international buyers demand supply chain transparency.
From a competitive standpoint, companies that complete system integration first are essentially building a hard-to-replicate soft power. Equipment can be purchased, but the process understanding, software systems, and scheduling logic accumulated over two decades of industry experience form a true moat. SMEs that fail to keep up risk falling further behind in cost and quality.
However, the transformation is not without challenges. It involves production line shutdowns for retrofitting, retraining of personnel, and integration with existing ERP/MES systems. For companies with limited capital, a phased approach—prioritizing bottleneck processes—may be more realistic than a big-bang overhaul.