D



Index


[SYMBOL] [A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [L] [M] [N] [O] [P] [Q] [R] [S] [T] [U] [V] [W] [X] [Y]

D-Study
data collection
     KPOVs
         forms/tracking systems
         sampling
         testing
     plan summary sheets
data integrity audits
     output 2nd
     reliability
     validity
data points
     distribution
     subgroups
data sheets
Days on Hand (DOH)
Days Sales Outstanding (DSO)
decision symbol (VSMs)
defects
     defined
     processes 2nd
     products
Defects per Million Opportunities (DPMO)
Defects per Unit (DPU)
Define, Measure, Analyze, Improve, and Control (DMAIC)
deliverables
deliveries
     forecasting
     on-time delivery problems
         industry examples
         measuring performance
demand
     buckets
     delivery variations
     inventory
     profiling
         applying
         customer usage
         delivery performance
         inventory levels
         output
         overview
         Profile tool
         statistical analysis of plot data
         variable demands
     segmentation
         calculating
         COV
         delivery performance
         entity types
         forecasting
         output
         overview
         setting inventory levels
     setting inventory
     variable
         customer usage
         industry examples
         measuring
Design of Experiments [See DOE (Design of Experiments).]
destructive testing
DISC
discovery
     customer requirements
     project charter
     SIPOC
discrete manufacturing project examples
discrimination metric
DMAIC (Define, Measure, Analyze, Improve, and Control)
documenting processes
DOE (Design of Experiments) 2nd
     broad inference
     characterizing
         2-factor full factorials
         analyzing 2nd 3rd
         ANOVA tables
         attribute Y data
         center points
         curvature
         designing 2nd 3rd
         Epsilon2
         noise variables
         overview 2nd
     conducting
     data points
     designing
     management
     narrow inference
     noise variables
     optimizing
         analyzing 2nd
         central composite designs
         contour plot of yield
         designing 2nd
         optimization algorithm
         overview
         path of steepest ascent, calculating 2nd
     overview
     planning
     problems
     repetition
     replication
     screening
         analyzing 2nd 3rd
         attribute Y data
         center points
         curvature
         designing 2nd 3rd
         fractional factorials
         noise variables
         overview
         resolution
     sequential experimentation
DOH (Days on Hand)
dollar-days
downstream demand problems
downtime for unplanned maintenance 2nd
DPMO (Defects per Million Opportunities)
DPU (Defects per Unit)
DSO (Days Sales Outstanding)
duration variability




Lean Sigma(c) A Practitionaer's Guide
Lean Sigma: A Practitioners Guide
ISBN: 0132390787
EAN: 2147483647
Year: 2006
Pages: 138

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