Changle, a key industrial hub accounting for a significant share of China's chemical fiber blended yarn output, is undergoing a deep transition from scale-driven to data-driven operations. A recent field investigation by the China Cotton Textile Association expert team—visiting six representative companies including Zhengxin Textile, Xingyi Textile, Keda Textile, Yaxin Textile, Lihua Smart Spinning, and Liyuan Textile—revealed a core contradiction: strong capacity advantages, yet notable gaps in data integration and process restructuring among SMEs.
The Changle Model: Pain Points Behind Scale Effects
Changle's core products—polyester-cotton blended yarn, regenerated cellulose fiber blended yarn, and differentiated chemical fiber yarns—benefit from a cluster effect led by flagship enterprises. However, the investigation found that most SMEs still struggle with low equipment interconnectivity, isolated production data, and experience-based management decisions. In the symposium chaired by Xu Xiaoyuan, Deputy Secretary-General of the China Cotton Textile Association, company representatives widely reported that unclear ROI remains the primary barrier to adopting digital transformation.
In contrast, pioneers like Fujian Jinyuan Textile have achieved breakthroughs through technological upgrades. Chairman Zheng Hong shared that by introducing intelligent doffing systems and tray-fed winding systems, the company improved the efficiency of the spinning-winding interface by 15%–20%, offering a replicable cost-optimization path. Data from Jiangsu Haima Textile Machinery further shows that its integrated spinning-winding technology has reduced labor per 10,000 spindles to below 25 workers—a nearly 40% reduction from traditional models.
From Hardware Upgrades to Soft Power: How Data Reshapes the Cotton Value Chain
The expert team's key message is that digital transformation is far more than equipment replacement. Zhou Yejun, former chairman of Wuxi No.1 Cotton Mill, emphasized in her keynote that enterprises must simultaneously strengthen "production hard power" and "management soft power." The former refers to smart equipment deployment; the latter involves restructuring organizational frameworks, process standards, and data culture. This means Changle companies need to deeply integrate MES and ERP systems to enable real-time data flow across orders, inventory, and quality—rather than stopping at isolated automation.
On the raw material front, Professor Yan Taohai from Minjiang University introduced new flexible fiber technologies, opening innovation avenues for Changle. The industrialization of regenerated protein fibers, smart fibers, and high-performance eco-friendly fibers is redefining the functional boundaries of blended yarns. For Changle enterprises primarily producing polyester-cotton blends, shifting toward high-value differentiated fibers can alleviate homogeneous competition and hedge against raw material price volatility through technological barriers.
Hedging Logic Amid Global Trade Shifts: Futures Become a Must
Researcher Liu Qiannan from Galaxy Futures added a macro perspective. She noted that slowing global economic growth dampens consumption expectations, but geopolitical tensions in the Strait of Hormuz could raise energy and chemical fiber costs while shifting some orders to China. This complex scenario makes raw material price management a survival necessity for Changle firms. Using futures markets for inventory management and cost locking is no longer optional but a core tool to navigate 2026 H2 uncertainties.
In his closing remarks, Jing Shenquan, Vice President of the China Cotton Textile Association, emphasized that Changle's leadership in the chemical fiber blended yarn segment stems from the combined effect of scale, raw material support, and digital transformation. However, future competitiveness hinges on converting data into decision-making power and turning technological upgrades into full-chain resilience.