Course Outline

Overview of Artificial Intelligence in Supply Chain and Logistics for Government

  • Emerging trends in smart logistics for government operations
  • Comparison between AI and traditional analytics in supply chain management for government
  • Key technologies and platforms supporting AI in government logistics

Artificial Intelligence for Demand Forecasting in Government Supply Chains

  • Time-series forecasting using machine learning techniques for government needs
  • Addressing seasonality and trend components in government demand patterns
  • Enhancing forecast accuracy through the use of historical data for government applications

Inventory Optimization and Replenishment Strategies for Government

  • AI-driven prediction models for stock levels in government inventories
  • Calculations for safety stock and reorder points tailored for government operations
  • Integration of AI with Enterprise Resource Planning (ERP) and Warehouse Management Systems (WMS) for government use

Route Optimization and Fleet Intelligence for Government Operations

  • Shortest path algorithms and delivery routing strategies for government fleets
  • Traffic-aware dynamic route planning to enhance government logistics efficiency
  • AI-enabled transport scheduling for optimized government fleet management

Warehouse Automation and Robotics in Government Facilities

  • Application of AI in picking, sorting, and storage automation for government warehouses
  • Use of computer vision for shelf monitoring in government facilities
  • Coordination with Autonomous Guided Vehicles (AGVs) and robotic arms for government logistics

Real-Time Analytics and Dashboarding for Government Supply Chains

  • Development of live dashboards using tools like Tableau and Python for government oversight
  • Monitoring Key Performance Indicators (KPIs) with real-time data streams in government operations
  • Generation of alerts and exception handling to support proactive government decision-making

Case Study and Capstone Project for Government Supply Chain Optimization

  • Analysis of a multi-node supply chain scenario within the context of government operations
  • Application of forecasting and routing models to government logistics challenges
  • Presentation of a data-driven logistics optimization plan for government stakeholders

Summary and Next Steps for Government Implementation

Requirements

  • An understanding of supply chain or logistics operations for government
  • Experience with data analysis or business intelligence tools
  • Basic familiarity with programming or scripting

Audience

  • Supply chain analysts
  • Logistics managers
  • Industrial planners
 21 Hours

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