Performance Response
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Corporations~Control Charting Performance Measures~X-bar and R Control Charting Issues That Can Lead to Firefighting~Firefighting In The Enterprise: Control Charting Issues May Be To Blame}
Organizations can have many problems because they are measuring the wrong things, which can lead to unbeneficial or detrimental behaviors. Almost every organization's measurement and improvement systems need to be improved. These organizations should avoid red-yellow-green balanced scorecard measures, which often lead to distruptive firefighting that is a detriment to the enterprise as a whole.
Data needs to be from a stable process or “in control” process to create a valid process capability statement. We should also strive to have a sampling process so that if more than one person examines the same process their conclusions should be similar whether the process is considered “in control” or not. With this statement, reference is made to how they sample from the process, not a chance occurrence. Because there may be difficulty in understanding what "in control" really means, I will use the word "predictable".
It is better to use ppm as a response for process capability and process performance indices, rather than Cp, Cpk, Pp, and Ppk, which can be very confusing and deceiving. A better practice is to use a probability plot to describe process capability/performance, since a probability plot offers more output flexibility and data understanding potential than process capability analyses that also provided Cp, Cpk, Pp, and Ppk outputs. When make a process capability/performance metric statement probability plots are also very useful, even though no specification exists. To be sure, probability plotting isn't the critical issue relative to implementing a practical balanced scorecard measures system to get an organization out of the firefighting mode.
Corporate objectives, when implementing the Integrated Enterprise Excellence (IEE) measurement system, can be achieved. In this IEE methodology, there can become a measurement pull for the creation of projects when a predictive metric does not yield a desirable response for the enterprise as a whole. To accomplish this goal, a measurement system is desired which is independent of how a sample collection system is developed.
30,000-foot-level balanced scorecard measures' (control charting) primary purpose should be an overall view of customer experience. Assuming that there is consensus with this position, a couple questions need to be asked to determine if there is agreement as to what should be considered as a potential common cause and special cause input variable source in a 30,000-foot-level control chart. This is in contrast to the timely identification of an issue using a control chart to stop a manufacturing line for problem resolution because of an out of control signal, which is something that is typically conveyed in classes but does not often occur in the “real world".
Let's consider a hypothetical situation where process raw material is changed from day to day. Also, consider that some raw material characteristic does affect the process’ output. Should we consider raw material as a potential common cause variability source or a special cause variability source?
Most will agree that raw material should be considered a source of common cause variability. If we all agree and there is also agreement that control charting should provide information consistent with what we believe with respect to special and common cause identification, we will not use x-bar and R charts.
Why is this? Given our current belief system the fundamentals underlying the X-Bar and R chart may seem inconsistant. X-bar and R chart control limits are only a function of within subgroup variability. When it comes to x-bar and R control chart limits, variability between subgroups has no affect. The control limit calculations of an individuals control chart provides control limits that are a function of the variability between subgroups. The control chart upper and lower control chart limits might consider the variability between raw material lots; but this would not occur in an x-bar and R chart.
Statistical programs such as Minitab could be used to generate X-Bar and R charts to calculate process capability, but we don't think so. X-bar and R charts can lead to a lot of fire fighting. X-bar and R charts are not used when making an IEE 30,000-foot-level assessment.
Some may find it hard to believe that the x-bar and R chart they learned in their basic statistics class has problems. Several 30,000-foot-level articles can be found in the “On-line Resource Library” link at www.SmarterSolutions.com, which provides more details and shows an example, not only for a continuous response output but other outputs as well.
The volume, Integrated Enterprise Excellence Volume III – Improvement Project Execution: A Management and Black Belt Guide for Going beyond Lean Six Sigma and the Balanced Scorecard describes on how to create 30,000-foot-level charts for various situations and much more. You can also visit www.ieeblackbelt.com for more information.
Using a TV as a computer monitor?
Im about to buy a 32" HD TV for use with my computer as a monitor, i enjoy playing games such as Bioshock and Crysis, with this have a bad effect on gameplay? performance, response rate etc, i am aware that it will be more demanding on the graphics card but this is not a problem for me at the moment, i guess my main worry is the response rate will this effect my game play or is there anything else i should be wary of? all suggestions and answers will be appreciated
Here is a link to the TV I plan to purchase:
http://www.ebuyer.com/product/131916?hp_prod=1
No problem with that. 1366x768 resolution may be too much for some low-end mainstream cards (esp in Crysis) but should not be a problem with high end cards, dual GPU cards and SLI set ups.
http://www.firingsquad.com/hardware/geforce_9600_gt_sli_performance/page10.asp
http://www.firingsquad.com/hardware/geforce_9600_gt_sli_performance/page9.asp
8ms response may not be the best for gaming, 3-5ms would be better. Try viewing a demo on a similar screen before you make your final decision.
Going with the flow (MIT)
_Since the 1970s, when early autonomous underwater vehicles (AUVs) were
developed at MIT, Institute scientists have tackled various barriers to robots
that can travel autonomously in the deep ocean. This four-part series examines
current MIT efforts to refine AUVs’ artificial intelligence, navigation,
stability and tenacity._
Anyone who has steered a boat knows how much effort is needed to keep the boat
on course when currents are pushing it in different directions. Now, MIT
researchers have developed sensors that can measure the pressure of flows
around an oceangoing vessel so that it can utilize rather than fight those
flows, saving energy and improving maneuverability. Other work aims to go a
step further: to change flows from patterns that impede progress to patterns
that will help.
Flows around autonomous underwater vehicles (AUVs) and other vessels — from
ships to submarines — can significantly affect their performance. For example,
when a vessel going 20 miles per hour turns sharply, it pushes into the
current on one side and creates swirling eddies on the other; as a result, its
speed can drop suddenly to seven miles per hour. The behavior of control
surfaces such as rudders and propellers can also be ...
All Blacks vs France Haka 2011- RWC Final
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