Global Dairy Manufacturer improves Quality and Safety with insights from Parsable

• 分析与建模 - 实时分析
• 应用基础设施与中间件 - 数据交换与集成

• 食品与饮料

• 离散制造
• 质量保证

• 实时定位系统 (RTLS)
• 根因分析与诊断

• 软件设计与工程服务
• 系统集成

The company, one of the largest dairy manufacturers in the world, was facing hurdles in scaling its operations to meet growing demand. Outdated procedures and processes led to inconsistent data capture, impacting operational productivity, quality, and employee safety. The company's largest site produces different types of drinkable yogurts. For every batch of finished product, samples are sent to the quality lab for microbiology and physico-chemical testing. All lab results were recorded on paper and created large binders of data, which were then manually entered into SAP every 24 hours, leaving room for human error. The data reporting process took anywhere from seven to 30 days to uncover trends or identify if the production line was complying with quality standards. Additionally, a single safety inspector would walk around a production facility to conduct safety rounds and create Safety Behavior Observations (SBOs). These reports were filled out inconsistently and would sometimes get lost, resulting in considerable safety insurance premium costs.

The customer is one of the largest dairy manufacturers in the world, producing a variety of products including milk, juice, cream, cheese, yogurt, and butter. The company is a billion-dollar entity with close to 38,000 employees. It has plants and distribution centers throughout the U.S., Mexico, Brazil, and Central America. The company has been in production for over 65 years and produces over 600 different products. The company's largest site produces different types of drinkable yogurts. The company is on a mission to create the world's best dairy products and is a fast-growing CPG brand.

The company implemented Parsable to digitize its quality analysis and safety checks. Workers are now able to open the application on a mobile device and begin capturing data in real-time. With Parsable, data went from being processed and put into dashboards in seven to 30 days, to synchronized data every 24 hours with no data recapture. Safety checks have been transformed from static paper-based procedures into digital, interactive processes. If a worker identifies an unsafe condition or bad safety practice, they can receive in-the-moment training within the app-based work instructions, and identify improvements to make the operation safer.

• Uncovered 20,000 data points now available for analysis
• Established a baseline to improve safety procedures by standardizing SBO’s and accelerating data capture
• Enabled product quality results to be available within 24 hours

• Data processing time reduced from 7-30 days to 24 hours
• Uncovered 20,000 data points for analysis