Demo Data from EDBT 2026 / reviewers in the wild / expert
Mitchell H. Burman
dblp:144/5155
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1992
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author
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% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Mathematical optimization › scheduling
production scheduling |
0.0 | 1 | 1992 | An algorithm for the scheduling of setups and production to meet due dates · ICRA 1992 |
Methods — techniques the papers use, named apart from their topics
real-time control · 0.0closed-loop production control · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1992 | An algorithm for the scheduling of setups and production to meet due datesabstractA closed-loop production control algorithm for a medical device manufacturing facility of an international healthcare conglomerate with due dates, significant setup times, and random disruptions is proposed. The algorithm is problem driven, exploits a hierarchical setup structure, and uses real-time control. The algorithm has been reduced to a set of simplistic rules with which floor management feels comfortable. The purpose of this research is to provide the theoretical underpinnings of those simple rules.> Mitchell H. Burman, Stanley B. Gershwin |
ICRA | 1 |