Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from EDBT 2026 / reviewers in the wild / expert

G. Molinar Roet

dblp:13/675 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 1987
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation
queueing models		 0.011987
Generalized stochastic Petri nets for the performance evaluation of FMS · ICRA 1987
Performance modeling and evaluation
stochastic petri nets		 0.011987
Generalized stochastic Petri nets for the performance evaluation of FMS · ICRA 1987
Performance modeling and evaluation
manufacturing scheduling		 0.011987
Generalized stochastic Petri nets for the performance evaluation of FMS · ICRA 1987

Methods — techniques the papers use, named apart from their topics

queueing network analysis · 0.0generalized stochastic petri nets · 0.0
YearPublicationVenuePosition
1987 Generalized stochastic Petri nets for the performance evaluation of FMS
abstract
A class of Petri nets in which transitions can fire either immediately or after an exponentially distributed random time since their enabling (GSPN), is used to define performance models for Flexible Manufacturing Systems. An example is discussed in which the analysis of the GSPN model yields results that are more reliable than those obtained with a currently used method based on queueing networks. Detailed GSPN models are shown that allow accurate analyses of the effects that different scheduling policies and pallet mixes have on system performance.
Gianfranco Balbo, Giovanni Chiola, Giuliana Franceschinis, G. Molinar Roet
 ICRA4