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Cost/Schedule Monitoring and Forecasting for Project Based on Earned Value Management (EVM)

2014· article· en· W1969827800 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

VenueAdvanced materials research · 2014
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Decision-Making Techniques
Canadian institutionsToronto Metropolitan University
FundersChina Three Gorges UniversityNational Natural Science Foundation of ChinaU.S. Department of Defense
KeywordsEarned value managementScheduleProject managementOperations researchDuration (music)Control (management)Project management triangleComputer scienceProject planningOperations managementRisk analysis (engineering)EngineeringSystems engineeringBusinessOPM3Artificial intelligence

Abstract

fetched live from OpenAlex

Earned value management (EVM) is one of the most widely used control tools in project management. It is a well-known management system that integrates cost, schedule and performance. Based on the traditional concept of EVM, the cost/schedule monitoring and forecasting model is proposed in this paper. It gives us the analysis steps and provides the methods for monitoring the actual situation and forecasting the final cost and duration. By using this model, the managers are able to know timely the status of a project in terms of budget and schedule and forecast the developing trend and ultimate outcome of the project. So it is a reliable method to improve the capability of project managers for making reasonable decisions.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.677
Threshold uncertainty score0.781

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
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 science0.0010.001
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 head0.191
GPT teacher head0.455
Teacher spread0.263 · 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