ASSESSMENT OF THE EFFICIENCY OF LOGISTICS PROCESSES AT FOREIGN ENTERPRISES
Bibliographic record
Abstract
The effectiveness of the organization of logistics processes at foreign enterprises was studied using the World Bank's Logistics Performance Index. For this purpose, the following indicators of logistics performance were used: LPI score; international shipments; logistics competence; timeliness. The LPI score is an integrated comprehensive indicator that assesses the general condition of the enterprise's logistics processes; a high level of this indicator indicates well-established and developed logistics processes and high competitiveness in the world market. International shipments - this indicator determines the reliability and efficiency of export-import logistics processes. Logistics competence characterizes the efficiency of logistics processes, in particular, the competence of personnel performing logistics operations, reliability and efficiency in the storage and transportation of goods, as well as the level of customer service. The logistics competence indicator also depends on the use of modern technologies and automation of the enterprise's logistics processes. A high level of logistics competence increases the flexibility and speed of the enterprise's response to changes in logistics routes and the volume of deliveries by reducing operational risks and costs. Timeliness assesses the timing of logistics processes, the reliability and stability of delivery times, including during force majeure circumstances, and the level of interaction of all participants in the logistics process - suppliers, warehouse production, carriers, etc. An assessment of the state of logistics process organization at foreign enterprises in Europe, Asia, America and Africa for 2023 was carried out. Among European countries, seven countries with the highest LPI were selected for assessment: Finland, Denmark, Germany, the Netherlands, Switzerland, Austria, Belgium. It was determined that the leader in this group of countries is Finland. Among Asian countries, Singapore, Hong Kong, UAE, Japan, Taiwan, South Korea, China were selected for assessment. It was determined that the leader in this group of countries is Singapore. Among American countries, Canada, USA, Brazil, Panama, Chile, Peru, Uruguay were selected for assessment. It was determined that the leader in this group of countries is Canada. Among the African countries selected for assessment are South Africa, Botswana, Egypt, Benin, Namibia, Rwanda, Djibouti. It is determined that the leader in this group of countries is South Africa. It is proven that in 2023 the greatest development of logistics processes of foreign enterprises is observed among enterprises of European and Asian countries.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".