2 Key Variablesidentify Key Answer The Following

2 Key Variablesidentify Key Answer The Following

2 Key Variablesidentify Key Answer The Following

Please see the attached file to understand the prompt:

1- DMAIC – Measure: The Current State of the Process

The purpose of the Measure Phase is to collect and summarize pertinent quantitative and qualitative data that defines the status of the current baseline situation. Therefore, this section is very critical to the Baseline (As-Is) Analysis Report and your senior design project. This section should be completed correctly and thoroughly with the appropriate amount of technical detail explanation. It should include the results of all analyses performed on the data collected during the project thus far.

As stated above, the analysis should be completed correctly and thoroughly. For example, if computer simulation (e.g., Simio) is used as a method to analyze the current state and performance of the systems and/or processes the team is studying and improving, it is expected that, in your team’s analysis, your team makes use of appropriate contemporary simulation modeling and analysis techniques related to input modeling, output analysis, model validation, and variance reduction, to name a few.

As another example, if an enhanced demand forecast model is sought to improve the current state and performance of the systems and/or processes the team is studying and improving, it is expected that, in the baseline analysis, your team not only summarizes the descriptive statistics (including mean, standard deviation, minimum, maximum, correlation, etc.) of the historical demand time series but also plots the demand time series and computes the forecast accuracy of the current forecasting approach as well as other candidate forecast methods/models being used or considered by the client.

As one last example, if a facility layout design is sought to improve the process flow of an area or facility, it is expected that, in your baseline analysis, your team not only summarizes the square footage of the current area or facility and the footprints of equipment, workstations and material storage within the area or facility, but the team should also summarize the current square footage for used and unused floor space (i.e., for work activities and for equipment and material storage), and the travel distances and volume-to-distance ratios between process steps along the flows of the products.

Your team is required to demonstrate its use and understanding of quality and Lean Six Sigma concepts and tools by showing evidence of the use of at least three (3) appropriate data analysis tools/methods as discussed earlier in the Yellow Belt Certification – however, the more the team properly uses, the better. You should support this requirement by including at least one summary table, graph, or diagram for each tool/method within the main body of the text (e.g., you might include a Pareto chart, stratification analysis table, cause-and-effect diagram, scatter plot, histogram, correlation analysis, process control charts, analysis of variance, value stream map, simulation, etc.). These tables and figures must be integrated into the main body of your report; additional background material may be included in the Appendix. Please recognize that the purpose of the project is to solve a problem and not necessarily to use a specific quality/statistical analysis tool or method. Thus, use the tool/method that is appropriate to solving the problem, even if the tool used is fairly simple analytically. The instructor and the Green Belt, Black Belt and Master Black Belt mentors who are assigned to your project may request resubmission of the project report, so that additional analysis is included, if appropriate.

Your team should strategically use graphs, figures and tables to summarize the analyses in order to succinctly support and communicate the outcomes/insights/conclusions from the results. Do not present long, bulky data set tables in the main body of the report; place them in the appendices to the report. Do not list raw data that are collected. Any raw data should be relegated to the Appendix, properly numbered, labeled and ultimately referenced within the text.

Your team must discuss the outcomes/insights/takeaways/conclusions from the results of which the reader should be made aware.

This section will most likely have subsections, and some topics that should be included in this section are:

3.1 Current Performance Level

Summarize current performance levels. Your team will need to describe the dataset used to summarize performance by discussing how the data are collected, what are the sample sizes, the period of data collection, whether the data are measured, and if there are any measurement system issues. Some metrics and analysis tools that might be used here:

  • Quantify Current State of Key Variable(s) (i.e., your project metrics), summarize performance using one or more of the following:
    • descriptive statistics summary tables
  • Distribution/Data patterns of key outputs (identify distribution of performance and/or discuss any data patterns in the current state data). Some tools to use here are:
    • histograms,
    • Pareto Analysis charts,
    • Statistical process control charts and/or run (i.e., time trend) charts, etc.
    • If possible, identify if problem is a chronic and/or a sporadic problem.

3.2 Key Variables

  • Identify Key Performance Output Variables (KPOVs) examined and/or list potential Key Performance Input Variables (KPIVs).

3.3 Target Performance Levels

  • Target Performance Levels (Required) – identify the desired performance levels or improvement amounts of your performance metric (e.g., reduce defects per million (DPM) level from 35,000 to 1,000 DPM, or reduce reject rate from 10% to <1%, or reduce time-to-delivery by 50%, or reduce process costs by X%).

Examples of Current and Target Performance Level Assessments:

  • The current process requires 15 days to complete a special order and the goal is to reduce this time to less than 7 days. Or,
  • The process is currently operating at 20,000 DPMs and the desire is to reduce this level to less than 1,000 DPMs.

Note: Your team should include Six Sigma problem-solving and analysis tools as appropriate to support your analyses and message.