Lectra > 实例探究 > Ese.Y Producing Smarter with Lectra

Ese.Y Producing Smarter with Lectra

公司规模

Large Corporate

地区

Asia

国家

China

产品

Lectra Vector Cutting Machines

技术栈

Zero-buffer cutting technology

实施规模

Enterprise-wide Deployment

影响指标

Cost Savings
Productivity Improvements
Customer Satisfaction

技术

功能应用 - 制造执行系统 (MES)
功能应用 - 产品生命周期管理系统 (PLM)

适用行业

服装
电子商务

适用功能

离散制造
质量保证

用例

预测性维护
库存管理
供应链可见性(SCV)

服务

系统集成
培训

关于客户

Ese.Y is a prominent manufacturer in the women's pants category, founded in 2001 and based in Zhengzhou, China. The company operates the largest production site for women's pants in China, located in the Zhengzhou Textile Industry Park. Ese.Y has built a reputation for its dedication to improving R&D and production within its manufacturing business. The company has successfully leveraged the growing consumer demand for fashion and the rise of e-commerce to achieve significant sales growth. In 2011, sales for Ese.Y women's pants on Tmall.com totaled RMB 8 million, which increased to RMB 80 million in 2012, RMB 200 million in 2013, and surpassed RMB 300 million in 2015. Today, Ese.Y holds the first place in the women's pants category on Tmall.com.

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挑战

Ese.Y, a leading manufacturer in the women's pants category in China, faced the challenge of adapting to the rapidly growing consumer demand for fashion and the rise of e-commerce. The company needed to transition to intelligent manufacturing to create a more agile supply chain and handle small-batch production orders. The unpredictable peaks in demand and the millennial preference for personalized products required a more flexible setup than traditional, order-based production. During the 'Double 11' festival in 2016, Ese.Y's Tmall.com store clocked RMB 10 million in sales in just 20 minutes, highlighting the need for an agile production setup to handle such spikes in orders.

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解决方案

Ese.Y chose Lectra's Vector cutting machines to enhance its production capabilities. These high-performing cutters offered a broad range of fabric-management options and were robust enough to handle complicated orders. Each Vector machine saved Ese.Y more than RMB 300,000 annually in labor costs alone. The machines also reduced fabric waste and helped lower the fabric cost per cut piece, thanks to their precise, zero-buffer cutting. The implementation of Lectra's cutting-room solutions made Ese.Y's production setup more agile, allowing the company to better handle fluctuations in demand. During the 'Double 11' festival in 2012, it took Ese.Y 10 days to deliver 80,000 orders, but by 2016, they completed production on the very first day the orders were received. Lectra's technology helped Ese.Y achieve higher standards without raising costs, producing standardized cut parts that eliminated irregularities and improved the sewing process.

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运营影响

Ese.Y experienced a dramatic increase in productivity and agility, allowing the company to respond quickly and efficiently to evolving production requirements.
The implementation of Lectra's cutting-room solutions enabled Ese.Y to handle fluctuations in demand more effectively, particularly during peak e-commerce events like 'Double 11'.
Lectra's technology helped Ese.Y improve product quality, reduce costs, and achieve higher standards without raising expenses.
The standardized cut parts produced by Lectra's Vector cutting machines eliminated irregularities, improved the sewing process, and ensured a consistent, quality product every time.
Ese.Y's goal of becoming fully-automated, flexible, and 100% intelligent was supported by Lectra's cutting-room solutions, which improved cutting quality, production capacity, fabric utilization rate, and overall efficiency.

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数量效益

Each Vector cutting machine saved Ese.Y more than RMB 300,000 annually in labor costs.
During the 'Double 11' festival in 2016, Ese.Y's Tmall.com store clocked RMB 10 million in sales in just 20 minutes.
In 2011, sales for Ese.Y women's pants on Tmall.com totaled RMB 8 million, which increased to RMB 80 million in 2012, RMB 200 million in 2013, and surpassed RMB 300 million in 2015.

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