Determining The Conditions For The Efficient Use Of Resources In The Warehouse System
Bibliographic record
Abstract
Abstract. Problem. For manufacturing enterprises, it is very important to reduce production and logistics costs, and one of the resource-intensive elements of this system is warehousing. Therefore, the need to establish conditions for the efficient use of material and warehouse resources is identified. Goal. The goal is to reduce the total cost of operating the built warehouse system by introducing efficient conditions for the use of resources. Methodology. A structural model of the warehouse system elements has been developed, which takes into account the main features of technological interaction of subsystems for processing incoming, internal and external flows of containers, packaging and finished products. To determine the conditions for efficient use of resources in the functioning of the warehouse system, it is proposed to use the evaluation parameter - the total cost of the warehouse system of a production enterprise. The parameters of external influence are the following intensities of flows determined by the warehouse process of a manufacturing enterprise: input, internal, and output. It is proposed to consider three options for the use of human and material resources. Originality. The article develops forecasting models of a degree type for three proposed three variants of use of material and human resources in functioning of warehouse systems of production enterprises. The obtained dependencies allow obtaining decisionmaking conditions depending on the intensity of incoming, internal and outgoing cargo flows. Practical value. Determining the conditions for using resources at the lowest possible total cost. The least costly option is to use two operators in each warehouse subsystem and one mechanism
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".