A new approach to the activity-time distribution in pert

Dimitri Golenko-Ginzburg

doi:10.1057/jors.1989.57

A new approach to the activity-time distribution in pert

Dimitri Golenko-Ginzburg

Department of Industrial Engineering and Management

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

Abstract

We consider the problem of computing the density function of the completion time of PERT stochastic networks. An activity-time distribution is suggested which is stable to maximization and close to the beta distribution. Thus classical network-reducing methods, e.g. Martin’s algorithm, can be essentially simplified.

Original language	English
Pages (from-to)	389-393
Number of pages	5
Journal	Journal of the Operational Research Society
Volume	40
Issue number	4
DOIs	https://doi.org/10.1057/jors.1989.57
State	Published - 1 Jan 1989

Keywords

Activity time
Beta distribution
Convolution
Stability
Stochastic networks

ASJC Scopus subject areas

Management Information Systems
Strategy and Management
Management Science and Operations Research
Marketing

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10.1057/jors.1989.57

Cite this

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AB - We consider the problem of computing the density function of the completion time of PERT stochastic networks. An activity-time distribution is suggested which is stable to maximization and close to the beta distribution. Thus classical network-reducing methods, e.g. Martin’s algorithm, can be essentially simplified.

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KW - Beta distribution

KW - Convolution

KW - Stability

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A new approach to the activity-time distribution in pert

Abstract

Keywords

ASJC Scopus subject areas

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