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Record W7038534201

The importance of industrial engineering in small & medium industries :a time study in manufacturing industry

2007· other· en· W7038534201 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

VenueUMP Institutional Repository (Universiti Malaysia Pahang) · 2007
Typeother
Languageen
Field
Topic
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsNucleofectionGestational periodDiafiltrationTSG101HyporeflexiaArticular cartilage damageTriacetinProteogenomics
DOInot available

Abstract

fetched live from OpenAlex

In this thesis, the knowledge on implementation of IE is studied theoretically through a time study in SMI. The study is to find the standard times of the employee and find out a solution to maximum the labor efficiency based on the knowledge of IE and the time study results. This study was mainly carried out by preparing the letter to industry, industry visit, process listing, data collection, analysis of the data, result and discussion of the data, and conclusion. In this time study, WS Food Trading is a small
\nindustry with the limited and traditional ways of management. The study will show the data collection procedures from parts division to standard get. Study show that the WS food trading doesn't have the knowledge about the standard times getting and the knowledge on implementation of IE for the industry. So after the study, it is hope that the results analysis and the solution came out will contributed for the company.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.227
Teacher spread0.203 · 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