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Record W2096699448 · doi:10.1080/09537280410001658344

Coordination and control in distributed and agent-based manufacturing systems

2004· article· en· W2096699448 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProduction Planning & Control · 2004
Typearticle
Languageen
FieldEngineering
TopicScheduling and Optimization Algorithms
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsDistributed manufacturingControl (management)Manufacturing engineeringSupply chainEngineeringComputer scienceBusinessArtificial intelligence

Abstract

fetched live from OpenAlex

This paper addresses two fundamental issues inherent to every manufacturing system. These issues concern the coordination and control of manufacturing activities. In doing so, many aspects are reviewed and analysed. First, the main distributed manufacturing paradigms are briefly introduced. Next, the various forms of interdependence that commonly constrain manufacturing activities are reviewed, as well as the coordination mechanisms used to manage them. Then, after analysing different approaches developed to address coordination and control of manufacturing activities in distributed and agent-based manufacturing systems, this paper highlights the limits of the existing classification schemes for coordination mechanisms and provides a new scheme that extends beyond those previously reviewed in order to take into account recent advances. The studied distributed manufacturing paradigms are finally compared in terms of coordination and control.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.476
Threshold uncertainty score0.541

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.206
Teacher spread0.198 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it