Process Fundamentals & Practices Overview
MTA501
When you have finished this e-briefing, you will be able to: Define Process Fundamentals and Practices (PFP), Explain why PFP is important in all phases of a process life cycle – from process development, design, scale-up, operation, and improvement, Describe key characteristics of the different “states” of process control in the journey from chaos to capability, and the primary tool sets used in each step in the journey. You will also be able to describe the best practice behaviors and actions in applying the PFP concepts and tools in your process to effectively deliver results. Click to Register
Role & Responsibilities of Corning Engineers
MTA502
When you have finished this e-briefing, you will be able to: Describe the different organizations where most engineers within Corning work, the typical functional groups, and their roles, Identify the responsibilities of different types of engineers within Plant, Division, and Corporate Engineering, and Research/Development organizations. You will also be able to describe the roles engineers play in cross-functional teams during different phases of a manufacturing process evolution, Describe different career paths for engineers in Corning, and key success factors in achieving career goals Click to Register
Basics of Data Collection & Analysis
MTA503
Upon completion of this e-briefing, you will be able to: Explain the purpose of data and data collection, identify different types of data, and describe when to use each type. Differentiate between good and bad data. Identify the characteristics of effective sampling and the qualities of effective measurements. Click to Register
Application of Data Collection & Analysis
MTA504
Upon completion of this e-briefing, you will be able to: Describe how data collection and analysis concepts and tools relate to improving process performance. Recognize sources of pre-existing data and when to generate additional data. Identify limitations of pre-existing data. Explain the importance of graphical representations of data Explain stratification. Recognize key patterns of variation in data. Interpret and draw conclusions from Pareto Charts, Frequency Plots, Run Charts, and Scatter Plots. Click to Register
Application Discussion
MTA505
Once you have completed the 4 eBriefings within this curriculum, you will be notified scheduled for this session. You will receive an invitation with session pre-work attached. Click to Register