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Record W2363908096

Automatic formation of short-term plan based on the long-term plan on open-pit mine using 0-1 integer programming

2012· article· en· W2363908096 on OpenAlex
Sun Meng-Hong

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

VenueMeitan xuebao · 2012
Typearticle
Languageen
FieldEngineering
TopicMining Techniques and Economics
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPlan (archaeology)Term (time)Integer programmingSoftwareComputer scienceReliability (semiconductor)Field (mathematics)Development planInteger (computer science)Secondary developmentSoftware engineeringIndustrial engineeringOperations researchEngineeringReliability engineeringSimulationProgramming languageAlgorithmCivil engineeringMathematics
DOInot available

Abstract

fetched live from OpenAlex

To solve the confliction between long-term and short-term production plan on open-pit mine,established a 0-1 integer programming model of short-term plans by time period applying with space-time development,and a new concept of super combo was proposed and the progress logic of short-term plan was dealt with.It implemented the design of long-term plan,dividing blocks from strip benches and dynamic displaying by secondary development using the TCL language on the Surpac software platform.The short-term plan could be automatically optimized by calling LindoAPI mathematical software under Visual C++ environment.It solved the problem that the short-term plan cannot be drawn out from automatic optimization based on long-term plan,but the program running time could be minutes or few hours.The reliability and efficiency of the method is proved in the work field.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.870
Threshold uncertainty score0.572

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 head0.061
GPT teacher head0.272
Teacher spread0.211 · 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