Video

Predictive modeling leads to the development of a closed-loop manufacturing system

How Culmium consultants used predictive modeling in JMP to reintroduce 100% of chemical waste back into a glass manufacturing process without any compromise in quality.

https://share.vidyard.com/watch/RrjSez1sd27Q56AwdRik2W

Matej Emin

CEO, Culmium Advanced Technologies

A prominent glass manufacturer partnered with advanced technology consultancy Culmium to reduce selenium-rich dust from being wasted during the manufacturing process. Predictive modeling in JMP accurately forecasted selenium emissions levels, enabling the company to successfully reintroduce 100% of the dust back into the production process without compromising quality. Their collaborative work not only contributed to more sustainable manufacturing but also earned national recognition.

Culmium

The results illustrated in this article are specific to the particular situations, business models, data input and computing environments described herein. Each JMP customer’s experience is unique, based on business and technical variables, and all statements must be considered nontypical. Actual savings, results and performance characteristics will vary depending on individual customer configurations and conditions. JMP does not guarantee or represent that every customer will achieve similar results. The only warranties for JMP products and services are those that are set forth in the express warranty statements in the written agreement for such products and services. Nothing herein should be construed as constituting an additional warranty. Customers have shared their successes with JMP as part of an agreed-upon contractual exchange or project success summarization following a successful implementation of JMP software.