Introduction

Process engineering involves the use of applied mathematics and statistics to improve industrial processes, and by using the eDart system I will be able to acquire data that can assist in the constant improvement and optimization of the plastic injection molding production process.

Behavioral analysis of data in process systems is the ultimate application of my accumulated experiences in high school statistics, mathematics, and physics. The processes themselves are derived from mathematical and physical models, and are streamlined using optimization methods that are at the heart of calculus. As the theoretically formulated processes are turned into production, statistical analysis is used to isolate and perfect different aspects of the procedures to ensure the utmost efficiency of the overall system.

Research in process engineering is essential to improving industrial practices. In the case of plastic injection molding, inefficiencies the production process result in the disruption in the uniformity of the product, excess wastage of materials, and other potential disasters related to inconsistent measurements and calibrations of machines.

The use of data driven methods to analyze the entirety of the production process assists with the perpetual task of improving and optimizing the outputs while reducing error and eliminating opportunities for failure.

I will use the eDart monitoring system to collect data about the plastic injection molding process. The eDart system will provide both the data needed to monitor production and to eliminate error in the system. The collected data will be analyzed using statistical software such as Minitab in order to draw conclusions about the efficiency and optimal performance of the process system. Depending of the results of each analysis, additional steps may be taken to collect more information or improvements can be made to specific aspects of the injection molding process.