ROC: Rank Order Clustering

In nagdevAmruthnath/Modified-Rank-Order-Clustering: Rank Order Clustering

Description

This performs Rank Order Clustering matrix for production flow analysis. The result matrix can be used to cluster machines and part numbers

Usage

ROC(x)

Arguments

x	is a data frame without column names or row names. Columns are partnumbers and rows are machines

Details

This function takes any number of machines or partnumbers to generate a Rank Order Clustering Matrix. This algorithm is based on Kings (1981) algorithm for production flow analysis. Maximum iterations are set to 50.

Value

result

is a data frame consisting of final matrix from the algorithm

Note

This algorithm is tested out for upto 100 x 100 matrix

Author(s)

Nagdev Amruthnath

References

J. R. KING (1980), Machine-component grouping in production flow analysis: an approach using a rank order clustering algorithm International Journal of Production Research Vol. 18 , Iss. 2,1980

Examples

##---- Rank Order Clustering ----

result<-ROC(data)
result

nagdevAmruthnath/Modified-Rank-Order-Clustering documentation built on Nov. 22, 2019, 7:50 a.m.