Cold Supply chain management for perishable produce

Published 11/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 20h 6m | Size: 11.1 GB
Special focus on cold chain management
What you'll learn
1. Analyze supply chain components across key decision areas.
2. Analyze inventory models used in warehouse management.
3. Design manufacturing systems based on type and scale of production
4. Examine logistics operations using modern supply chain technologies.
5. Analyze supply technologies and operations in post harvest supply chain of fresh produce
Requirements
No prior skills or experience required
Description
Cold Supply Chain Management refers to the systematic coordination and management of all activities involved in sourcing, procurement, production, and logistics — as well as the flow of information and finances across the entire supply chain — to deliver products or services to the end customer efficiently and cost-effectively. A well-structured supply chain management (SCM) system is the backbone of any successful business operation, ensuring that every stage—from raw material procurement to product delivery—is optimized for efficiency and customer satisfaction. In today's globalized economy, supply chains extend across multiple countries and involve a network of suppliers, manufacturers, distributors, and retailers. Effective SCM helps organizations balance supply and demand, minimize delays, and maintain consistent product quality. One of the most crucial aspects of SCM is integration—linking all stages of the value chain through shared data, technology, and collaboration. Advanced software systems like Enterprise Resource Planning (ERP) and Supply Chain Management Systems (SCMS) have revolutionized this integration, offering real-time insights into inventory levels, production schedules, and transportation routes. Such systems help companies identify bottlenecks, forecast market needs, and adapt quickly to disruptions. Additionally, risk management has become an essential component of modern supply chains, especially in the face of global uncertainties such as pandemics, trade restrictions, and natural disasters. Businesses are now investing in predictive analytics and artificial intelligence to enhance resilience and ensure continuity of operations.
Who this course is for
Graduate and Post graduate students of supply chain and logisitcs, practitioners in logistics and warehousing, supply chain for agricultural products and post harvest technologists
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