Análisis al proceso de almacenamiento de la empresa Demafer S.R.L., de la ciudad en Trujillo,2018
Bibliographic record
Abstract
ABSTRACT \nThe present investigation called "Analysis of the storage process to the company Demafer SRL, of the city of Trujillo, 2018", whose problem was: What is the level of knowledge of the workers in relation to the storage processes of the company in question ?, the main objective was to determine the level of knowledge of the storage process of the company Demafer SRL \nTo fulfill the objective, it corresponds to a descriptive study, applied research, non-experimental type of transversal design. An interview guide and two observation checklists of 20 questions closed to 10 collaborators were used as instruments. The period of analysis was the first quarter of 2018. The purpose of these 02 checklists was to contrast information and provide more accurate data. The data was tabulated and analyzed by tables and graphs. \nIt has been determined: 1) The company does not know the importance of the operation of the warehouse. 2) Workers ignore the activities of reception, storage and picking. 3) They do not know the functions of control and dispatch of merchandise. Concluding that the level of knowledge is low and there are flaws in the storage process, which affects the company's liquidity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".