computeABCXYZAnalysis: Performs an ABC/XYZ analysis
In matman: Material Management

Description Usage Arguments Value Author(s) See Also Examples

Divides a given data frame into 3 classes, A, B, C, according to the value of one column (e.g., revenue).

computeABCXYZAnalysis(
  data,
  value,
  item,
  timestamp,
  temporalAggregation = c("day", "week", "month", "quarter", "year"),
  AB = 80,
  BC = 95,
  XY = NA,
  YZ = NA,
  ignoreZeros = FALSE
)

`data`	Data frame or matrix on which the ABC analysis is performed.
`value`	Name of the column variable that contains the value for the ABCXYZ analysis.
`item`	Names of the columns including the item names or identifiers (e.g., product name, EAN).
`timestamp`	Name of the column including the timestamp. This column should be in POSIX or date-format.
`temporalAggregation`	Temporal aggregation for the XYZ-analysis (i.e., "day", "week", "month", "quarter", "year").
`AB`	Threshold (in percent) between category A and B.
`BC`	Threshold (in percent) between category B and C.
`XY`	Threshold (in percent) between category X and Y.
`YZ`	Threshold (in percent) between category Y and Z.
`ignoreZeros`	Whether zero values should be ignored in XYZ-analysis.

Returns an ABCXYZData object. Only positive values are displayed

Leon Binder leon.binder@th-deg.de

Bernhard Bauer bernhard.bauer@th-deg.de

Michael Scholz michael.scholz@th-deg.de

ABCXYZData summary

# ABC Analysis
data("Amount")
abcResult = computeABCXYZAnalysis(data = Amount,
    value = "value",
    item = "item",
    timestamp = "date")

# ABC/XYZ Analysis
data("Amount")
abcxyzResult = computeABCXYZAnalysis(data = Amount,
    value = "value",
    item = "item",
    timestamp = "date",
    temporalAggregation = "week",
    XY = 0.3, YZ = 0.5)