ASSESSMENT OF THE EFFICIENCY OF LOGISTICS PROCESSES AT FOREIGN ENTERPRISES
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,005 | 0,005 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».