G06 Green Review
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This document discusses using a relationship matrix to identify relationships between root causes and environmental concerns when developing solutions. It involves transferring identified critical issues from a root cause identification matrix to the column headers of a relationship matrix. Then the team identifies any environmental issues that must be considered for each root cause and marks them with a "Y" in the appropriate cell. Once complete, the issues are described on a separate tab to inform countermeasure development. The goal is to improve the environmental performance and profile of the organization while addressing root causes.
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D01 Define Spacer
This document provides an agenda and overview for a JEA Process Improvement Black Belt training on defining projects using the Six Sigma DMAIC methodology. It outlines the schedule and expectations for the define training week, including introducing the 15 deliverable format, methodology and tools for the define phase. It also covers emergency evacuation procedures and codes of conduct for the training.
NG BB 45 Quick Change Over
This document discusses quick changeover techniques to improve process efficiency. It begins by outlining an 8-step process improvement methodology. It then defines changeover times and differentiates between traditional and lean thinking regarding changeovers. The key steps to reducing changeover times are identified as separating internal and external changeover activities, converting internal activities to external where possible, and reducing all remaining activities through techniques like parallel operations and automation. The goal is to standardize and simplify changeovers to allow for smaller batch sizes and increased flexibility.
A05 Continuous One Variable Stat Tests
This document provides guidance on using statistical tests to determine which process inputs (X's) are critical and influence outcomes (Y's). It outlines common statistical tests for continuous and discrete data, including tests for normality, one-sample t-tests to compare a mean to a target, and one-sample sign tests to compare a median when data is not normal. Examples are provided to illustrate how to use Minitab to conduct these tests and interpret the results.
NG BB 11 Power Steering
The document provides an overview of the Power Steering project tracking tool used by the National Guard for continuous process improvement projects. It describes how to access and navigate Power Steering, the roles and responsibilities of Black Belts in using it to track project progress, and how to invite new users. The learning objectives are to understand how to use Power Steering to navigate, track projects, and share best practices.
D06 Project Selection
The document discusses the process for identifying and selecting projects for black belts. It provides criteria for project selection such as the problem being related to key business issues and having organizational support. It also describes documenting potential projects with a project charter that includes details like the customer and process owner. Project ideas are evaluated based on their estimated financial impact and strategic importance to prioritize resources.
15 Deliv template
The document provides guidance for project tollgates, focusing presentations on satisfying 15 deliverables in each project phase and showing the logical thought process. Tollgate presentations should also list tasks and dates for the next phase, as well as barriers and assistance needed to complete the project on schedule. Projects are now performed using a standardized 15 deliverable format to guide tollgate reviews.
NG BB 37 Multiple Regression
This document provides an overview of multiple regression analysis techniques. It begins with an introduction to multiple regression, explaining how it allows modeling of a dependent variable (Y) based on multiple independent variables (X1, X2, X3, etc). The document then outlines the basic steps for developing a multiple regression model, including visualizing relationships in the data, assessing correlation, generating a prediction equation, and validating the model. An example involving silver consumption in a production plant is presented to demonstrate these steps. The goal is to help readers understand how to identify correlation between variables, create mathematical models with multiple inputs, and examine a regression model.
D08 Quantify Project Value
This document defines the key deliverables and tasks for quantifying the value of a project. Deliverable 3D involves quantifying the project value by determining the benefits to customers and the organization. This includes calculating the cost of poor quality using baseline data and estimating savings. Project benefits are documented in the project benefit document and summarized in the project charter and final presentation.
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- 1. Using the Relationship Matrix Deliverable 11G
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