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There are three important aspects of the PCED equation: 1) You re comparing the process with and without the particular step for each family of offerings (that s the baseline minus target part of the equation) It s like asking what would PCE be if we removed this step for this offering 2) The impact is being expressed as a ratio or percentage of the with and without figure compared to the baseline That means you may get numbers bigger than 1 (equivalent to 100%) For instance, if PCE rose from 1% to 4% when an offering was eliminated, then that offering was destroying 3% of PCE or three times the amount of the baseline PCE 3) The ratio is adjusted for demand so the final PCED number is a per unit figure We ve made the point multiple times that lowvolume offerings have a proportionately greater impact on PCE than high-volume offerings Suppose you got the numbers used in item 2 (an increase from 1% to 4% PCE) for both a low-volume

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and, based on what the user needs, generate appropriate SQL statements to retrieve the necessary data In such situations, we may not be able to predict in advance just what SQL statements need to be executed, even though there is (presumably) some algorithm by which the application can construct the necessary SQL statements once a user s command is issued SQL provides some facilities to deal with such situations; these are referred to as dynamic SQL There are two main commands, PREPARE and EXECUTE, which we illustrate through a simple example: char c sqlstring[] = { DELETE FROM Sailors WHERE rating>5 }; EXEC SQL PREPARE readytogo FROM :c sqlstring; EXEC SQL EXECUTE readytogo; The rst statement declares the C variable c sqlstring and initializes its value to the string representation of an SQL command The second statement results in this string being parsed and compiled as an SQL command, with the resulting executable bound to the SQL variable readytogo (Since readytogo is an SQL variable, just like a cursor name, it is not pre xed by a colon) The third statement executes the command Many situations require the use of dynamic SQL However, note that the preparation of a dynamic SQL command occurs at run-time and is a run-time overhead Interactive and embedded SQL commands can be prepared once at compile time and then reexecuted as often as desired Consequently you should limit the use of dynamic SQL to situations in which it is essential There are many more things to know about dynamic SQL how can we pass parameters from the host langugage program to the SQL statement being prepared, for example but we will not discuss it further; readers interested in using dynamic SQL should consult one of the many good books devoted to SQL

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(say, 10 unit) offering and a high-volume (say, 100 unit) offering The PCEDs would be 30 for the low-volume vs 3 for the high volume In interpreting PCE Destruction, higher numbers are always worse than low numbers What s high and what s low will depend on your situation but higher numbers mean that that combination of offering and process task is consuming more PCE than those with lower numbers For example, suppose you re calculating PCED for the third step in an order entry process for two services and got the following numbers: PCED for Step 3 in Service #1 (low volume): PCE baseline for order entry process = 54% PCE for the process without Step 3 = 60% Demand = 10 orders/hr PCED for Step 3 = { [ (6% 54%) / 54%] * 100}/ 10 = 1111/10 = 111 Interpretation: PCE would increase by a factor of 111 if this lowvolume service no longer went through Step 3 PCED for Step 3 in Service #2 (high volume) Baseline = 54% PCE w/o Step 3 = 60% Demand = 80 orders/hr PCED = (same as above except divide by 80) = 1111/80 = 0139 Interpretation: PCE would increase by a factor of 139 if this highvolume service no longer went through Step 3

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These calculations bear out our logic: that the low-volume service destroys more PCE than the high-volume service (PCED of 111 vs PCED of 0139) Looked at from the opposite viewpoint, you will gain more PCE if you get rid of one low-volume service than if you get rid of one high-volume service

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