#' eoqsenstivity
#'
#'the rate of increase of total relevant cost compared to the EOQ.
#'
#' .
#'
#'
#' @param quantity numeric,quantity ordered every order cycle.
#' @param quantityoptimal , numeric optimal quantity based on EOQ.
#'
#' @param na.rm A logical indicating whether missing values should be removed
#'
#' @return the rate of increase of total relevant cost compared to the EOQ.
#'
#' @export
#'
#' @example
#'
#' eoqsenstivity(quantity=5400,quantityoptimal=6000,na.rm=TRUE)
#'
#' @author "haytham omar email: <h.omar5942@gmail.com>"
#' @note this is the first version of the inventorize package, all the fucntions are basic knowlege for supply chain without
#' any contribution from my side, the aim is to facilitate and ease much of the bookkeeping that is endured during analysis of stock.
#'
eoqsenstivity<- function(quantity,quantityoptimal,na.rm=TRUE){
(1/2)*((quantity/quantityoptimal)+(quantityoptimal/quantity))
}
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