Automotive: Supply Chain and Distribution Networks
Description
Comprehensive analysis of automotive supply chain complexity, distribution network architecture, logistics optimization, and the digital transformation of automotive supply chain management including risk mitigation and resilience strategies.
Learning Objectives
Learners will be able to analyze the complex multi-tier automotive supply chain including global supplier networks and component flows, evaluate distribution network strategies for vehicles, parts, and services, assess supply chain digitalization initiatives including real-time visibility and predictive analytics, design risk mitigation strategies for supply chain disruptions, and optimize logistics operations using technology solutions and data analytics.
Topics (9)
Analysis of automotive inventory management including safety stock optimization, seasonal demand patterns, model changeover planning, spare parts inventory strategies, and AI-powered demand forecasting systems for improved supply chain efficiency.
Comprehensive analysis of automotive supply chain tiers, supplier relationship hierarchies, component and sub-assembly flows, value-added processes at each tier, supplier selection criteria, and the interconnected nature of global automotive supply networks.
Examination of major automotive supply chain hubs including Germany, Japan, China, and Mexico, regional supplier ecosystems, cross-border trade flows, free trade zone utilization, and regional specialization in automotive component manufacturing.
Analysis of just-in-time delivery systems, just-in-sequence component supply, inventory minimization strategies, supplier proximity requirements, synchronization technologies, and the digital systems enabling precise timing coordination.
Examination of automotive parts distribution including OEM genuine parts networks, aftermarket parts distribution, service parts logistics, warehouse automation, inventory optimization, and e-commerce integration for parts ordering and fulfillment.
Analysis of finished vehicle logistics including rail and truck transportation, port operations for import/export, dealer allocation strategies, vehicle distribution centers, compound management, and digital tracking systems for vehicle movements.
Examination of supply chain digitalization including IoT sensor integration for real-time tracking, blockchain for supply chain transparency, AI-powered demand forecasting, digital twin applications, and cloud-based supply chain platforms.
Analysis of supply chain risk assessment including single-source dependencies, geopolitical risks, natural disaster impacts, pandemic responses, supplier diversification strategies, and digital tools for risk monitoring and mitigation planning.
Examination of supplier onboarding systems, performance measurement KPIs, quality management integration, supplier scorecards, relationship management platforms, and data analytics for supplier optimization and risk assessment.