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Record W2069867923 · doi:10.1139/l08-121

Delay analysis in resource-constrained schedules

2009· article· en· W2069867923 on OpenAlexvenueno aff
Kyunghwan Kim

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2009
Typearticle
Languageen
FieldDecision Sciences
TopicResource-Constrained Project Scheduling
Canadian institutionsnot available
FundersKorea Institute of Construction and Transportation Technology Evaluation and PlanningKorea Institute of Construction Technology
KeywordsScheduleCritical path methodDuration (music)Computer scienceScheduling (production processes)Path (computing)Resource (disambiguation)Mathematical optimizationReduction (mathematics)Operations researchReliability engineeringEngineeringMathematicsComputer network

Abstract

fetched live from OpenAlex

The schedule for construction delay analysis should consider resources because it is acknowledged that a schedule without resources is not realistic. However, the conventional resource-constrained scheduling (RCS) technique is not properly operated for the widely accepted delay analysis techniques such as the contemporaneous period analysis (CPA) and the “but-for” method. The “CPM + RCS” method for rescheduling to analyze delay impacts may cause unexpected activity sequence changes and the “RCS-only” method does not reflect the time impact of the duration reduction of an activity and may cause substantial project completion delay by a minor change in the activity duration. This study analyzes the problems that arise when CPA and the “but-for” method are performed on the basis of the conventional RCS technique and shows how the resource-constrained critical path method can be utilized in those delay analyses that have advantages as compared with the RCS technique.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.030
GPT teacher head0.282
Teacher spread0.252 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2009
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Civil EngineeringSame topicResource-Constrained Project SchedulingFrench-language works237,207