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portada Logistics Management. Optimizing Supply Chains & Transportation (en Inglés)
Formato
Libro Físico
Año
2026
Idioma
Inglés
N° páginas
528
Encuadernación
Tapa Blanda
Dimensiones
22.9x15.2x2.7 cm
ISBN13
9798249312725

Logistics Management. Optimizing Supply Chains & Transportation (en Inglés)

Sanjay Mandavi;Sanjay Mandavi (Autor) · Independently published · Tapa Blanda

Logistics Management. Optimizing Supply Chains & Transportation (en Inglés) - Sanjay Mandavi;Sanjay Mandavi

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Reseña del libro "Logistics Management. Optimizing Supply Chains & Transportation (en Inglés)"

Logistics Management: Optimizing Supply Chains & Transportation provides a structured and in-depth exploration of logistics as a strategic business function. The book is designed to help readers understand not only how logistics works, but why it is essential for organizational success in today's competitive global environment.

The book is organized into carefully planned sections:

1. Foundations of Logistics
This section introduces the core concepts of logistics and supply chain management, explaining the flow of goods, services, and information from suppliers to end customers. It builds a strong theoretical base for beginners.

2. Transportation & Distribution Systems
Readers will explore various transportation modes-road, rail, air, and sea-and learn how businesses select and manage the most cost-effective and efficient distribution strategies.

3. Inventory & Warehouse Management
This section focuses on stock control techniques, warehouse layout planning, material handling systems, and demand forecasting to minimize costs and maximize service levels.

4. Cost Control & Performance Measurement
Learn how to analyze logistics costs, measure key performance indicators (KPIs), and implement strategies for operational efficiency and continuous improvement.

5. Global & Digital Logistics
The final section addresses international trade logistics, risk management, compliance, sustainability, and the role of technology such as automation, ERP systems, AI, and data analytics in modern logistics.

Each chapter includes practical insights, conceptual explanations, and real-world applications to ensure both academic understanding and professional relevance.

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