Coty eliminated overfill to save $270,000 with SPC Fill Height Project
Company Size
1,000+
Region
- America
- Asia
- Europe
Country
- China
- United States
Product
- InfinityQS ProFicient
Tech Stack
- Statistical Process Control (SPC)
- Manufacturing Intelligence
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Predictive Analytics
- Application Infrastructure & Middleware - Data Visualization
- Functional Applications - Manufacturing Execution Systems (MES)
Applicable Industries
- Consumer Goods
- Retail
Applicable Functions
- Process Manufacturing
- Quality Assurance
Use Cases
- Manufacturing System Automation
- Predictive Maintenance
- Process Control & Optimization
Services
- System Integration
- Training
About The Customer
Coty is a leader in the global beauty and fragrance industry. Founded in Paris in 1904 by Francois Coty, the company today exhibits innovation and a drive to quickly capture emerging trends, thereby creating enduring brands that speak to the aspirations and lifestyles of today’s consumers. The company boasts an annual revenue over $4 billion, is headquartered in New York City with offices in more than 30 countries, and employs 10,000 worldwide. Coty’s global manufacturing presence, including Research and Development Centers of Excellence and eight manufacturing facilities, is spread across locations in Europe, the United States, and China. Driven by passion, creative freedom, and an entrepreneurial spirit, Coty has built a unique portfolio of beauty brands that have produced some of the strongest consumer franchises in history. The company’s products span three categories of fragrances, color cosmetics, and skin and body care, with adidas, Calvin Klein, OPI, philosophy, Chloé, Davidoff, Playboy, Rimmel, Marc Jacobs, and Sally Hansen comprising its top 10 brands. The full product portfolio is sold through distribution channels that include upscale department stores, specialty retailers, upscale perfumeries and pharmacies, mass-market retailers, duty-free shops in airports and cities, QVC, and various e-commerce channels.
The Challenge
As part of continuous improvement efforts, Coty determined that its filling process was generating a higher level of waste than expected. This was due in part to some lines overfilling containers to ensure aesthetic fills were met, which led to higher expenses on supplies. Considering the price of some of the fill liquids, this was a significant opportunity to reduce overfill and save money. However, the company did not have enough historical data on these lines, which meant that process engineers and quality professionals did not have sufficient information to truly understand the entire problem and develop a viable solution. In 2010, the manufacturing team at Coty’s Sanford, North Carolina, manufacturing facility turned to Statistical Process Control (SPC) analysis to better understand scrap at the point of manufacture on its filling lines. As part of an SPC Fill Height Project, Coty wanted to determine ways to reduce liquid scrap and better understand its process capability.
The Solution
Coty approached InfinityQS®, the global authority on Manufacturing Intelligence and enterprise quality, about implementing ProFicient, a proven Manufacturing Intelligence platform powered by a centralized SPC analysis engine, at its Sanford facility. Coty used InfinityQS’ tech support to help ensure the most effective deployment of the solution. The SPC Fill Height Project was incrementally implemented on 12 fragrance lines. The company set target amounts for every SKU (2,600 parts), control limits for each product and line combination (filling variation), and specification limits (min and max fill height levels). The process also included training for more than 100 users, from line operators and quality inspectors to managers and directors. Coty found that it could easily analyze all necessary key performance indicators (KPIs) on control charts for easy interpretation and analysis. With the information it gathered, the company eliminated the need for overproduction of liquid to compensate for overfilling; identified special-cause variation vs. natural variation with real-time information about the process; and eliminated time-consuming, after-the-fact quality checks that did not add value.
Operational Impact
Quantitative Benefit
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