Incrementar - Parte 2 y Controlar

Go to Course: https://www.coursera.org/learn/incrementar---parte-2-y-controlar

Introduction

### Course Review: *Incrementar - Parte 2 y Controlar* on Coursera **Overview:** *Incrementar - Parte 2 y Controlar* is an insightful course that delves into the essential tools of the Improve and Control phases of the DMAIC methodology in Lean Six Sigma. This course is designed for individuals seeking to enhance their understanding of process improvement and control while integrating both quantitative and qualitative approaches. Through the course, participants will explore predictive mathematical modeling, lean tools, and statistical process control, all aimed at improving operational performance. **Syllabus Breakdown:** 1. **Multiple Regression Analysis** - The course begins with an overview of multiple linear and polynomial regression. This section focuses on modeling production processes by analyzing multiple factors. Learners will gain hands-on experience in identifying which factors significantly impact outcomes, developing robust mathematical models to predict system behavior based on dependent and independent variables. This foundational knowledge is crucial for anyone looking to leverage data-driven decisions in their projects. 2. **Statistical Process Control** - This module introduces statistical process control (SPC), emphasizing the monitoring of random errors within processes. Understanding how to recognize control limits and identify abnormal patterns allows professionals to maintain process stability. Overall, the knowledge gained in this segment is indispensable for ensuring that processes remain under control and identifying potential issues before they escalate. 3. **Stability Tools** - The course also highlights lean principles such as Kanban and Total Productive Maintenance (TPM). By implementing a pull system, learners will discover how to create efficient workflows that respond to actual demand rather than forecasts. This segment is particularly beneficial for those looking to minimize waste, optimize resource use, and enhance just-in-time production techniques. 4. **Solution and Control Tools** - The final part focuses on the Control phase of DMAIC, which includes ensuring that implemented solutions are effectively addressing the initial problems. Participants will learn to measure and analyze critical quality variables post-implementation against baseline values. This knowledge not only boosts confidence in process improvement efforts but also ensures that objectives are met and successes are quantifiable. **Course Delivery and Benefits:** The course utilizes a blend of instructional videos, real-world case studies, interactive quizzes, and practical projects that enhance the learning experience. The combination of theory and application ensures that learners comprehend the material deeply and see its relevance in everyday settings. **Who Should Take This Course:** *Incrementar - Parte 2 y Controlar* is highly recommended for: - Operations managers seeking to refine their process improvement skills. - Quality control professionals wanting to deepen their knowledge of statistical methods. - Lean Six Sigma practitioners looking for advanced strategies to implement in their organizations. - Anyone interested in predictive analytics and its applications in business processes. **Recommendation:** Overall, I strongly recommend *Incrementar - Parte 2 y Controlar* for those committed to mastering Lean Six Sigma methodologies. The course equips learners with powerful tools to analyze and improve processes effectively while ensuring sustained operational excellence. Whether you are starting your journey in Lean Six Sigma or looking to expand your expertise, this course offers a comprehensive roadmap to success. Enroll today to unlock the full potential of your process improvement skills!

Syllabus

Análisis de regresión múltiple

La regresión lineal múltiple y polinomial nos permite modelar un sistema, como un proceso productivo, a partir de la medición de múltiples factores. Lo que se busca en el modelo es poder definir cuáles factores son relevantes y cuáles no, estableciendo un modelo matemático que permita predecir el comportamiento del sistema, medido mediante una variable dependiente Y, a partir del comportamiento de múltiples variables independientes Xs.

El control estadístico de proceso nos permite monitorear el error aleatorio. Cuando el proceso se encuentra bajo control, el error aleatorio se comporta de manera normal en torno a la media de la variable de proceso que estamos monitoreando con una desviación estándar determinado. Cuando alguna de las múltiples variables que conforman el error aleatorio comienza a tomar “protagonismo”, desgaste de un herramental, cambio en la formulación, cansancio de un operador, etc., se podrán observar patrones identificables que pueden alertar sobre la pérdida de control en el proceso.

Un sistema Lean de pull tiene el propósito de crear un flujo de trabajo y el trabajo se “jala” solo si existe una demanda. Esencialmente, el propósito de implementar un sistema pull es construir productos basándose en la demanda real y no en pronósticos. Al hacerlo, la empresa puede enfocarse en eliminar las actividades de desperdicio del proceso de producción. Como resultado, se pueden optimizar los recursos y reducir la probabilidad de exceso de inventario. Además, aplicar un sistema pull permitirá entregar el trabajo justo a tiempo. "Justo-a-tiempo" es un modelo de producción en donde los entregables se producen para satisfacer las demandas reales y evitar el exceso de inventario y las estrategias de “empuje”.

La etapa Control del ciclo DMAIC tiene dos propósitos. El primero es determinar si la implementación de las soluciones está siendo efectiva para abordar el problema que dio origen al proyecto. Para esto se deben realizar nuevas mediciones y análisis de las variables críticas de calidad y contrastarlas con los valores iniciales antes de implementar la mejora. Si el proyecto ha sido exitoso se observarán mejoras en grados suficientes, lo que nos permitirá afirmar que se han cumplido los objetivos propuestos inicialmente.