The probability aspect of CALS (computer-aided logistic support)

Author

Benz, Glen E.

Author_Institution

Teledyne Controls, Los Angeles, CA, USA

fYear

1988

fDate

26-28 Jan 1988

Firstpage

23

Lastpage

25

Abstract

Several software packages used for computer-aided logistic support (CALS) are examined. Relationships between probability of success, life cycle cost and logistic support parameters are discussed. The aspects of three classes of CALS software are examined with respect to how they could be used to combine probability and cost. The three program classes are: (1) Monte Carlo, (2) Markov, and (3) military costing. It is concluded that Monte Carlo is most realistic for probability of success but that Markov programs are better than costing alone, and that military costing formulae could be revised for use with the probability programs or the probability programs could be expanded to include costs

Keywords

logistics data processing; military systems; probability; software packages; CALS; Markov; Monte Carlo; computer-aided logistic support; life cycle cost; military costing; military systems; probability programs; software packages; Aircraft; Clocks; Computational efficiency; Computational modeling; Cost function; Logic; Logistics; Military computing; Personnel; Scheduling;

fLanguage

English

Publisher

ieee

Conference_Titel

Reliability and Maintainability Symposium, 1988. Proceedings., Annual

Conference_Location

Los Angeles, CA

Type

conf

DOI

10.1109/ARMS.1988.196408

Filename

196408