Date of Defense

4-18-2017

Date of Graduation

4-2017

Department

Chemical and Paper Engineering

First Advisor

Raja Aravamuthan

Second Advisor

Said AbuBakr

Abstract

Productivity, as measured by the uptime percentage and the acceptance rate, of a multiply Fourdrinier machine, had decreased over time from historical mill averages, indicating that the process has become less efficient. These metrics determine the overall machine efficiency, a critical measurement of how the machine is being run. Statistically analyzing the historical data for uptime and acceptance in conjunction with process data including grades produced, machine variables, and reason codes for downtime and rejection will allow for determination of areas that need corrective actions. Identifying the major reason codes and taking corrective actions should result in higher machine productivity through an increase in uptime and product acceptance.

Access Setting

Honors Thesis-Restricted

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