R/APSsystem.R

In bnRep: A Repository of Bayesian Networks from the Academic Literature

#' APSsystem Bayesian Network
#'
#' An ERP data quality assessment framework for the implementation of an APS system using Bayesian networks.
#'
#'
#' @format
#' A discrete Bayesian network for data quality assessment. Probabilities were given within the referenced paper. The vertices are:
#' \describe{
#'   \item{QPlanDeliveryTime}{(Complete, Incomplete);}
#'   \item{QSetupTime}{(Complete, Incomplete);;}
#'   \item{PlanDeliveryTime}{(Complete, Incomplete);}
#'   \item{SetupTime}{(Complete, Incomplete);}
#'   \item{NNTransactionData}{(Complete, Incomplete);}
#'   \item{NNMasterData}{(Complete, Incomplete);}
#'   \item{NNValues}{(High, Low);}
#'   \item{Completeness}{(High, Low);}
#'   \item{Consistency}{(High, Low);}
#'   \item{DataQuality}{(High, Low);}
#' }
#'
#' @return An object of class \code{bn.fit}. Refer to the documentation of \code{bnlearn} for details.
#' @usage NULL
#' @keywords NULL
#' @importClassesFrom bnlearn bn.fit
#' @references Herrmann, J. P., Tackenberg, S., Padoano, E., Hartlief, J., Rautenstengel, J., Loeser, C., & Böhme, J. (2022). An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks. Procedia Computer Science, 200, 194-204.
"APSsystem"