Conceptual model of floriculture supply chain management
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Notice bibliographique
Résumé
The flower industry today is a fairly dynamic international industry. Proof of this is the significant growth rates achieved in recent years in this area. Thus transportation of perishable goods is one of the most difficult types of delivery, and transportation of flowers is even more difficult. Because it is necessary not only to strictly adhere to the temperature regime, but also to preserve the appearance of such a demanding cargo. Conducted analysis of the flower industry has shown that market demand is stagnant, while supply is in surplus. In part, this is due to the fact that flowers are highly correlated with income, not being essential commodities. Although on the other hand, consumer demand is becoming more demanding and differentiated. The main factors influencing the market of floriculture products were identified and studied. It was noted that the market of floriculture products in Ukraine is relatively small and young, but promising and growing rapidly. In addition, it is one of the most complex and time-consuming, due to its features. First of all, the floriculture market is represented by a significant number of participants that have different basic and current resources, goals for the market, needs, and so on. Studies have shown that the floriculture industry can suffer huge losses, mainly due to the lack of proper infrastructure for storage and transportation, as well as due to the lack of control over the conditions of supply. Lack of visibility in supply chains leads to quality problems, which leads to product loss, product returns, rising costs, and time delays. In addition, changing consumer demands, an active lifestyle and an open economy are forcing manufacturers and suppliers to produce higher quality goods and constantly look for ways to optimize costs. The proposed conceptual model of floriculture supply chain management will make it possible to form a new infrastructure that will unite all the subjects of the floriculture market into a single system. Thus, we can say that the priority areas of infrastructure development of the floriculture market should be determined in terms of a systematic approach and consist in the interaction of elements of production, intermediary, floristic, design, marketing, financial, information and agricultural components. Each part of the chain must perform its function effectively in order to maintain the optimal conditions of the environment in which the products of floriculture are located, during its supply from the manufacturers to the final consumers. To this end, a combination of innovative technologies that help to manage the supply of floriculture products in real time through the supply chain was proposed. Therefore, in order to satisfy consumers, it is necessary to form an effective supply chain for floriculture products, all parts of which must work in a whole, so that end consumers can get high quality products.
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Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 découle