MROC: Modified Rank Order Clustering

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

Description

This function provides the Modified Rank Order Clustering result matrix. This can be used to cluster the machines and components.

Usage

MROC(data, compWeight, machineWeight)

Arguments

data	a data frame without row names and column names. Just include the machine component matrix
compWeight	a single data frame containing numerical component weighs
machineWeight	a single data frame containing numerical machine weighs

Details

This function is built for product flow in cellular manufacturing. This function is built based on Modified Rank Order Clustering proposed by Amruthnath and Gupta (2016). This algorithm is an extension of Rank Order Clustering but, it uses weight to reorder the initial matrix first.

Value

result

MROC matrix as a data frame

Author(s)

Nagdev Amruthnath

References

Amruthnath, N., & Gupta, T. (2016). Modified Rank Order Clustering Algorithm Approach by Including Manufacturing Data. IFAC-PapersOnLine, 49(5), 138-142.

Examples

##---- Should be DIRECTLY executable !! ----
result<-MROC(data, componentweight, machineweight)
result

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