|
|
|
Evolutionary Operation OverviewThe idea of replacing the static operation of a process with a dynamic system was first proposed by George Box in 1957. The basic premise was to develop a continuous, systematic method of creating slight adjustments in the process control variables, evaluating the effects and shifting the process in the direction of improvement. This method has received increased interest with the expanding ability of microcomputers to assimilate and evaluate large data sets very rapidly. ProActive Process Improvement (PPI) is the only program that incorporates the proven process improvement strategy of EVOP with the continuous evaluation of the on-line control and quality variable data. This evaluation determines the control variables that have the greatest current impact on the quality variables in the process and utilizes them in the EVOP to achieve true dynamic process optimization.
In this example PPI determined that the Feed Rate and Temperature are the Critical Control Variables affecting the desired results, “Increased Yield”. Experiment I – Demonstrates the capability of maximizing yield at a rate of 90 for the current Feed Rate and Temperature combination. Experiment II – Represents PPI’s dynamic capability to continue to optimize yield by rotating away from the lowest result (70). Experiment III – Reflects the continual probing of PPI to optimize yield. The current result is a yield of 110. Changes in the feed rate, temperature and other CCV’s are made automatically to respond to changes in uncontrollable variables. The program communicates with the control system and uses EVOPs to move the process towards optimization. PPI has no software limits on the number of control and quality variables that can be evaluated or EVOPs implemented. Its limitations are only determined by the ever-increasing capacity of modern computing equipment. |
|
Send mail to webmaster@stochos.com
with questions or comments about this web site. |
