eoqsenstivity: eoqsenstivity
In inventorize: Inventory Analytics, Pricing and Markdowns
View source: R/eoqsenstivity.R
eoqsenstivity R Documentation
eoqsenstivity
Description
the rate of increase of total relevant cost compared to the EOQ.
Usage
eoqsenstivity(quantity, quantityoptimal, na.rm = TRUE)
Arguments
quantity
numeric,quantity ordered every order cycle.
quantityoptimal
, numeric optimal quantity based on EOQ.
na.rm
A logical indicating whether missing values should be removed
Value
the rate of increase of total relevant cost compared to the EOQ.
Note
this is the second version of the inventorize package, all the fucntions are without
any academic contribution from my side, the aim is to facilitate and ease much of the bookkeeping that is endured during stock analysis.
Author(s)
"haytham omar email: <haytham@rescaleanalytics.com>"
Examples
eoqsenstivity(quantity=5400,quantityoptimal=6000,na.rm=TRUE)
inventorize documentation built on June 1, 2022, 1:07 a.m.
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View source: R/eoqsenstivity.R
| eoqsenstivity | R Documentation |
eoqsenstivity
Description
the rate of increase of total relevant cost compared to the EOQ.
Usage
eoqsenstivity(quantity, quantityoptimal, na.rm = TRUE)
Arguments
quantity |
numeric,quantity ordered every order cycle. |
quantityoptimal |
, numeric optimal quantity based on EOQ. |
na.rm |
A logical indicating whether missing values should be removed |
Value
the rate of increase of total relevant cost compared to the EOQ.
Note
this is the second version of the inventorize package, all the fucntions are without any academic contribution from my side, the aim is to facilitate and ease much of the bookkeeping that is endured during stock analysis.
Author(s)
"haytham omar email: <haytham@rescaleanalytics.com>"
Examples
eoqsenstivity(quantity=5400,quantityoptimal=6000,na.rm=TRUE)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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