Functions and Formulas  

QFD  

QFD

benchmarkScaled

Maps technical data to a given scale of performances using a data-to-performance mapping table

Collection benchmarkScaled(Collection data, Collection map, Collection scores, Collection opt=nothing, boolean limit=true, Collection accumulate=nothing)

Parameters
data : is the table of benchmarking data
map : is the data-to-performance mapping table
scores : is the vector of performance scale values
opt : is the vector of optimization directions
limit : if true, result is limited to the scaled range
accumulate :

best

Returns the best value according to a given direction for optimization

Object best(Collection x, Collection opt)

Parameters
x : Is the container with the input values
opt : is the container with the direction for optimization

csi

Maps a vector from one tree to another by applying the independent scoring method. Mathematically, the independent scoring method can be expressed as a linear transformation.

Collection csi(Collection matrix, Collection x)

Parameters
matrix : is the QFD correlation matrix.
x : is the vector in the source tree you want to map.

gap

returns the absolute of the difference between x and y. Only existing matrix values are handled.

Object gap(Object x, Object y)

Parameters
x : is the first value
y : is the second value

independentScore

Collection independentScore(Collection matrix, Collection x, integer sign=0.0, Object total=0.0, integer grouphandling=3.0)

Parameters
matrix :
x :
sign :
total :
grouphandling :

opportunity

Calculates the difference of an importance and a performance value if importance>performance>0

Collection opportunity(Collection importance, Collection performance)

Parameters
importance : is the importance value
performance : is the performance value

proportionalScore

Collection proportionalScore(Collection matrix, Collection x, integer sign=0.0, Object total=0.0, integer grouphandling=3.0)

Parameters
matrix :
x :
sign :
total :
grouphandling :

worst

Returns the worst value according to a given direction for optimization

Object worst(Collection x, Collection opt)

Parameters
x : Is the container with the input values
opt : is the container with the direction for optimization

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