Featured Case Study
Reduce Process Variability
A leading Pharmaceutical company was struggling with process variability in a complex step in their manufacturing process of a product that generated $3B of revenue annually. This variability led regulatory inspectors to question the company’s specification limits and their ability to manufacture the product reliably.
Improving Process Predictablity Across Multiple Plants
A multinational Pharmaceutical company was trying to gain control over process predictability for two of their blockbuster products. One complication was that the production process for each product took place in multiple manufacturing facilities in different geographies. The processes and the pertinent data spanned multiple plants making it difficult to identify the causes of process variability.
They realized that the solution would require access and analysis of data from the multiple sites within a single, validated environment. This meant that an engineer, analyst, or quality technician would need to be able to work with data freely to know in which database the specific elements were stored.
Business requirements included:
- A single point of access to geographically distributed systems
- Identification of data relationships across disparate databases
- Data access for collaborative analysis and reporting
- Ability to perform analyses across a range of batches and process steps
Collaboration Across the Manufacturing Enterprise
Their search led them to Aegis' Discoverant which provided analysis and reporting capabilities that did not require the use of command lines or SQL queries. They decided to implement Discoverant on a proof-of-concept basis to verify its ability to meet their business requirements.
Discoverant Pilot Alone Produces Significant ROI
Their evaluation of the pilot results indicated that Discoverant met or exceeded all of their requirements. As a result, they initiated full implementations of Discoverant across their manufacturing facilities.