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

F. Cottrez

dblp:231/3106 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 1990
—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.

Theoretical computer science
1 paper
Mathematical optimization · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Mathematical optimization
discrete optimization
0.011990
SESFAC: a scheduling expert system for flexible assembly cells · ICRA 1990
Mathematical optimization › scheduling
production scheduling
0.011990
SESFAC: a scheduling expert system for flexible assembly cells · ICRA 1990
Embedded and real-time systems
cyber-physical system platforms
0.011990
SESFAC: a scheduling expert system for flexible assembly cells · ICRA 1990
Embedded and real-time systems › cyber-physical system platforms
industrial automation
0.011990
SESFAC: a scheduling expert system for flexible assembly cells · ICRA 1990

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

scheduling-in-advance · 0.0expert system · 0.0
YearPublicationVenuePosition
1990 SESFAC: a scheduling expert system for flexible assembly cells
abstract
The design of a knowledge-based scheduling system for a flexible assembly cell is discussed. The system integrates disruptions and can be connected to a real-time cell controller. It is composed of a static database, a dynamic database, and expert modules and is driven by an asynchronous clock. The knowledge is hierarchically organized in the distinct expert modules, each standing for a decision level. The scheduler is characterized by a scheduling-in-advance methodology. This capability is to be used on- or offline.>
Hendrik Van Brussel, F. Cottrez, Paul Valckenaers
ICRA2