Production Data Management System for Diatomaceous Earth Processing
Project Drive
A leading diatomaceous earth processing facility was storing its production data in Excel spreadsheets. The long-term effects of this method led to a proliferation of spreadsheets on their servers, making it difficult to efficiently access necessary information. The best remedy for this problem was to move to a web-based solution. This approach provided a centralized database to store the data and an interface for authorized users to enter, edit, and view the data.
Solution
Corso Systems staff worked with a large diatomaceous earth processing facility to implement a web-based system to store and analyze its production data. We used the client's existing paper and Excel-based tools to develop a database schema for the data. With the database in place, we developed the web-based front end for operators to enter new data and access existing records. In addition to data entry forms, the interface included automated reporting functionality, allowing users to select a date-range and/or specific process areas to view production data. The system generates nightly reports and automatically sends them to key personnel. In addition to tabular views of the data, the system includes charts and tables for tracking downtime and product loss reasons for a range of dates, as well as process OEE. The system also includes the ability to automatically gather and store data from the process historian.
Benefits
Centralized database for production data
Advanced analysis tools for production losses, downtime, and OEE data
Automated reports sent out to key personnel on a regular basis
Reduced overhead costs
Increased data utilization
Increased productivity
Project Details
Industry: Mining
Location: Lovelock, NV
Services: Web-based tools, Technology Migration
Technology
ASP.NET
ASP.NET MVC
FactoryTalk Historian
SQL Server
jQuery
Javascript
Focus
Centralize production data
Decrease data management overhead
Optimize business processes
Understand existing processes
Develop web-based system
Implement system and train personnel on its operation
Increase value of business data by integrating it with process data