Evidencia.1.Presentación oral de resultados del reto (IN2002B)

About this video

• Video Title: Evidencia.1.Presentación oral de resultados del reto (IN2002B)
• Channel: Josué Flores
• Speakers: Ester Flores, Julián Felipe Barbosa, Josué Flores
• Duration: 00:22:19

Overview

This video presents the results of a challenge aimed at improving efficiency in the quality area, specifically focusing on reducing delays in measurements using a CMM machine. The team identifies and analyzes several contributing factors, proposing statistical methods and solutions to address these issues and optimize the process.

Key takeaways

• Identified Problem: The central problem is a delay in measurements on the CMM machine, leading to a longer product release time.
• Root Cause Analysis: The team used tools like the Ishikawa (fishbone) diagram, prioritization matrix, and Failure Mode and Effects Analysis (FMEA) to identify key causes.
• Key Causes Identified:
  1. Delay in Cap Arrangement: Issues with how caps are arranged on plates, leading to significant dead time on the CMM machine. Proposed solutions include modifying the arrangement method and redesigning plates.
  2. Bottleneck in Measurement: Delays within the measurement process itself due to factors like piece type, operator, number of shots, and measurement programs. Proposed solutions involve optimizing routines and standardizing the process.
  3. Delay in Technical Validation: Problems in the validation stage, including incorrect arrangement, data validation issues, and uncalibrated plates, leading to rework and extended release times. Proposed solutions include comparing manual and automated validation, standardizing the process, and automating where possible.
• Statistical Approach: The team proposes various statistical tests, including paired t-tests, Design of Experiments (DOE), normality tests, hypothesis testing for the mean, and ANOVA, to validate their proposed solutions.
• Proposed Next Steps: The team plans to move to the implementation phase, which includes adjusting measurement programs, technical training, layout adjustments, time studies, and validating the results of the proposed improvements.

The topics in the presentation were touched upon with a moderate level of depth. The team clearly outlined the problem, identified root causes using specific methodologies, and proposed solutions with statistical validation plans. However, the actual implementation and detailed results of these proposed solutions were not yet presented, as they were moving into the next phase.

Regarding the speakers, all members contributed to the presentation. Ester Flores introduced the context, Josué Flores detailed the first cause, and Julián Felipe Barbosa explained the second and third causes. Máximo Rodríguez is listed as an integral team member but does not have a specific speaking segment clearly delineated in this transcript. Therefore, based on the transcript provided, Josué Flores and Julián Felipe Barbosa were the most prominent speakers, presenting detailed analyses of the identified causes.

The topics in the presentation were explored with a good level of detail. The team effectively broke down the problem, identified key contributing factors using analytical tools, and proposed specific solutions with plans for statistical validation. While the implementation phase was about to begin, the analysis and proposed actions were thoroughly discussed.

Regarding the speakers, it appears there might be a mix-up in names or the provided transcript does not contain dialogue from Ashley Colette Garduño, Diego Morales, Mikel Carbajal, or Fernanda Camacho. The speakers identified in the transcript are Ester Flores, Julián Felipe Barbosa, and Josué Flores. They each presented specific sections of the analysis and findings.