Efficient Monte Carlo simulation method of GERT-type network for project management

Authors:
Kenzo Kurihara;Nobuyuki Nishiuchi
Affiliations:
Department of Industrial Engineering and Management, Kanagawa University, 3-27-1 Rokkakubashi, Kanagawa-ku, Yokohama 221-8686, Japan;Department of Industrial Engineering and Management, Kanagawa University, 3-27-1 Rokkakubashi, Kanagawa-ku, Yokohama 221-8686, Japan
Venue:
Computers and Industrial Engineering - 26th International conference on computers and industrial engineering
Year:
2002

Citing 1
Cited 6

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A hybrid scatter search approach for resource-constrained project scheduling problem in PERT-type networks

Advances in Engineering Software
Developing a Tω (the weakest t-norm) fuzzy GERT for evaluating uncertain process reliability in semiconductor manufacturing

Applied Soft Computing
Multi-mode renewable resource-constrained allocation in PERT networks

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A path enumeration approach for the analysis of critical activities in fuzzy networks

Information Sciences: an International Journal
On the Latest Times and Float Times of Activities in a Fuzzy Project Network with LR Fuzzy Numbers

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Abstract

This paper proposes a new method to estimate network characteristics such as project time, project cost, etc. There are many kinds of projects such as new product development and plant construction. Since these projects consist of various uncertain jobs, we can model those processes as stochastic networks such as GERT network. Only simulation technique can analyze the networks' characteristics of practical project model. However, the method is extremely time-consuming. Our method can estimate the network characteristics rapidly and accurately by analyzing one set of Monte Carlo simulation results based on the theory of probability.