Optimization RSM

Optimization RSM - OPTIMIZATION TO UNDERSTAND THE FACTORS...

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OPTIMIZATION TO UNDERSTAND THE FACTORS AFFECTING RESPONSE SURFACE METHODOLOGY AS A MEANS FOR OPTIMIZATON
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RESPONSE SURFACE METHODOLOGY RSM CAN BE DEFINED AS A STATISTICAL METHOD THAT USES QUANTITATIVE DATA FROM APPROPRIATE EXPERIMENTS TO DETERMINE & SIMULTANEOUSLY SOLVE MULTIVARIENT EQUATIONS
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FACTORS TO CONSIDER CRITICAL FACTORS ARE KNOWN REGION OF INTEREST , WHERE FACTOR LEVELS INFLUENCING PRODUCT IS KNOWN FACTORS VARY CONTINUOUSLY THROUGH- OUT THE EXPERIMENTAL RANGE TESTED A MATHEMATICAL FUNCTION RELATES THE FACTORS TO THE MEASURED RESPONSE THE RESPONSE DEFINED BY THE FUNCTION IS A SMOOTH CURVE
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LIMITATIONS TO RSM LARGE VARIATIONS IN THE FACTORS CAN BE MISLEADING (ERROR, BIAS, NO REPLICATION) CRITICAL FACTORS MAY NOT BE CORRECTLY DEFINED OR SPECIFIED RANGE OF LEVELS OF FACTORS TO NARROW OR TO WIDE --OPTIMUM CAN NOT BE DEFINED LACK OF USE OF GOOD STATISTICAL PRINCIPLES OVER-RELIANCE ON COMPUTER -- MAKE SURE THE RESULTS MAKE GOOD SENSE
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STEPS TO TAKE IDENTIFY FACTORS – LIMIT NUMBERS WHERE POSSIBLE DEFINE FACTOR LEVELS IF TOO BROAD, OPTIMIZATION CAN BE DEFINE LEVELS MAY BE RESTRICTED BY COST, PHYSICAL LIMITS OR REGULATIONS –OPTIMUM MAY BE OUTSIDE LEVELS TESTED RUN FIRST TEST AT MID-POINTS TO EVALUATE LEVELS SELECT TEST SAMPLES SELECT DESIGN METHOD DATA ANALYSIS
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LIMITS OF RSM LARGE VARIATIONS IN THE FACTORS CAN BE MISLEADING (ERROR, BIAS, NO REPLICATION) CRITICAL FACTORS MAY NOT BE CORRECTLY DEFINED OR SPECIFIED RANGE OF LEVELS OF FACTORS TOO NAROOR OR TOO WIDE – OPTIMMUM CAN NOT BE DEFINED LACK OF GOO STATISTICAL PRINCIPLES OVER RELIANCE ON COMPUTER – MAKE SURE RESULTS MAKE GOOD SENSE
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USES OF RSM TO DETERMINE THE FACTOR LEVELS THAT WILL SIMULTANEOUSLY SATISFY A SET OF DESIRED SPECIFICATIONS TO DETERMINE THE OPTIMUM COMBINATION OF FACTORS THAT YIELD A DESIRED RESPONSE AND DESCRIBES THE RESPONSE NEAR THE OPTIMUM TO DETERMINE HOW A SPECIFIC RESPONSE IS AFFECTED BY CHANGES IN THE LEVEL OF THE FACTORS OVER THE SPECIFIED LEVELS OF INTEREST
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USES -CONTINUED TO ACHIEVE A QUANTITATIVE UNDERSTANDING OF THE SYSTEM BEHAVIOR OVER THE REGION TESTED TO PRODUCT PRODUCT PROPERTIES THROUGHOUT THE REGION - EVEN AT FACTOR COMBINATIONS NOT ACTUALLY RUN TO FIND CONDITIONS FOR PROCESS STABILITY = INSENSITIVE SPOT
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Optimization RSM - OPTIMIZATION TO UNDERSTAND THE FACTORS...

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