Consumer packaging and manufacturing companies capture vast amounts of information with their production ERP systems. In most cases, this information is primarily used for reporting and ad hoc queries on things that have already happened. The information is rarely used to make prescriptive decisions on how to optimize production processes and planning decisions.
This customer case study will illustrate how Protiviti demonstrated the value of leveraging advanced analytics to a large manufacturing client, using their ERP data to create optimized daily production schedules, increase plant capacity, and execute scenario planning analysis. This capability was not available from their ERP system or any of their plant-shop floor accessory software packages. Attendees will learn how Protiviti used optimization modeling to accomplish a number of objectives including reducing production costs, determining the impact of each customer’s order patterns on resource utilization and evaluating the ability to absorb new customer demand.
Key Learning Points:
- Discover ways to leverage advanced analytics to maximize the value of ERP data
- Learn how to identify analytics-based projects of utmost interest to senior management
- See how to leverage optimization modeling for operational and strategic planning decisions
Original Webinar Date:
Wednesday, Oct 10, 2018
John Harris is a Senior Manager in Protiviti’s Advanced Analytics practice. He has more than 17 years of direct experience in the airline, utility and financial services industries. During his career, he has applied a strategic thinking and advanced analytics skill set to build predictive models, optimize resources and improve processes for all levels of leadership. As a Ph. D. student and National Science Foundation fellow, John’s research focus was supported/funded by Delta Air Lines and Lockheed Martin. Two Fortune 500 companies have attempted to paten his work leveraging predictive and optimization modeling techniques.