A method for generating random cutting-tool requirement matrices for manufacturing systems simulation

Author

Veeramani, Dharmaraj ; Barash, Moshe M. ; Wilson, James R.

Author_Institution

Sch. of Ind. Eng., Purdue Univ., West Lafayette, IN, USA

fYear

1991

fDate

8-11 Dec 1991

Firstpage

854

Lastpage

860

Abstract

The authors describe a two-stage procedure for generating random cutting-tool requirement matrices (part type vs. tool type 0-1 incidence matrices) on the basis of expert opinions about the characteristics of such data. In the first stage, row-sums and column-sums of the tool requirement matrix are sampled from two user-specified multivariate normal distributions subject to the feasibility condition that the row- and column-sums yield the same grand total. In the second stage, the binary values of the matrix elements are determined by means of a heuristic. The resultant matrix reflects the desired characteristics, such as part type similarities and tool usage dependencies

Keywords

manufacturing computer control; manufacturing data processing; binary values; column-sums; generating random cutting-tool requirement matrices; manufacturing systems simulation; matrix elements; multivariate normal distributions; part type similarities; row-sums; tool usage dependencies; Character generation; Cutting tools; Displays; Gaussian distribution; Industrial engineering; Manufacturing industries; Manufacturing systems; Random variables; Steel;

fLanguage

English

Publisher

ieee

Conference_Titel

Simulation Conference, 1991. Proceedings., Winter

Conference_Location

Phoenix, AZ

Print_ISBN

0-7803-0181-1

Type

conf

DOI

10.1109/WSC.1991.185695

Filename

185695