Green Computing Research Essay
Green Computing Research
The Green Computing research project is well underway and we have to select a research tool that will help with quality control. The choices are Cause and effect diagrams, control charts, Run charts, scatter diagrams, histograms, Pareto charts and flow charts. I am a huge fan of statistical analysis however; it is not one of the seven tools we have to work with. Therefore, I have chosen the Pareto Chart method to help with our quality control.
A Pareto Chart will allow us to look at energy consumption over a period of time and break it down to what was the major factor leading to the increase or decrease. Therefore, we can evaluate changes made in hardware and processes and see which ones had the greatest or worst effect over that period. This will help to satisfy Ben and Ito’s concerns for the projects quality research and fulfill the company’s goal of reducing costs, increasing profit margin and at the same time becoming greener.
This project should be fairly easy to map out. We will simply take a detailed analysis of the energy consumption of periods of time and then look to see what variables made different periods greater or less than others. The Pareto principle is sometimes referred to as the 80-20 rule (Schwalbe, 2011) where 80% of the problems are caused by 20% of the causes. This could also be considered inversely where 80% less energy consumption can be attributed to 20% better habits.
This method can also easily be translated into a flowchart over time, allowing us to focus in on the energy consumption for processes, equipment and times of day. Once the problems or benefits are identified processes can be developed to act on them accordingly. The use of this method will help to break out the consumptions for the project team and leadership in a simple to follow diagram, that can be used in the decision making process.
The Pareto tool works well when the processes can be easily categorized into benefits and detriments. Once the processes are categorized, then they can be prioritized. This is where the whole leadership team gets involved, to include the stakeholders. Then these prioritized categories can be made into a hierarchical structure with substance and value.
This Pareto analysis chart is rather easy to produce in Microsoft Excel, which is a good thing because I am fairly competent with the process using MS Excel. We simply put in a table the consumption values during the determined period of study and then turn it into a chart and you have a visual of the consumption periods. We can then find the highest consumption periods and compare them to any changes or patterns differences from the lower periods. Then these values can be re-charted in another analysis chart to visually compare the major causes of energy consumption. In conclusion, the Pareto analysis will allow us to identify the major energy consumption issues or the major energy conservation savings factors and allow us to prioritize them in a hierarchical manner. Then the decision making process can begin to work to reduce the overall costs and save energy at the same time.
University/College: University of Chicago
Type of paper: Thesis/Dissertation Chapter
Date: 5 October 2016
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