Definición y Medición

This module focuses on Value Stream Mapping (VSM), a key tool in Lean Six Sigma. It covers the main stages of value stream mapping, starting with mapping the existing process to create a Current State Map. Students learn how to validate this map by comparing simulation results with actual results. Once a valid current state map is constructed, they can confidently suggest improvements, with the expectation that the results of the proposed system will be very similar to the Future State Map results. The module explores the interaction between information and material flow in VSM and the characteristics of a lean value stream.

This module covers project definition in Lean Six Sigma. Once improvement projects are identified through Future State Value Stream Mapping, the next stage is to prepare a high-level description of each project and clarify the responsibilities of everyone involved, while providing official authorization to start. At this stage, students begin using necessary tools to detect the causes of problems and/or areas of opportunity. The module also explores the Cause and Effect Diagram, which represents various elements (causes) of a system that can contribute to a problem (effect). Students learn how this diagram is used to identify possible causes of specific problems and the important elements of a project charter.

This module focuses on process capability studies, which are crucial evaluations of a process's ability to produce parts within specifications (i.e., non-defective parts). Students learn how these studies are used to determine the sigma level of a process and the percentage of defective parts it produces. The module covers types of data used in stability and capability concepts, relevant aspects employed in capability indices, short-term studies, and process capability indices. Students gain an understanding of how to assess whether a process is capable of consistently meeting customer specifications.

This module emphasizes the importance of obtaining reliable measurements in any data collection and analysis context, especially in Lean Six Sigma. Students learn that it's critical to statistically verify measurement systems rather than assuming calibrated instruments will provide accurate and precise measurements. The module covers Repeatability and Reproducibility (R&R) studies, measurement attribute analysis, and Failure Mode and Effect Analysis (FMEA). Students gain knowledge on how to statistically validate measurement systems to ensure that analyses and decision-making are based on reliable data.