Certificate in Material Handling: Data-Driven Decisions
-- ViewingNowThe Certificate in Material Handling: Data-Driven Decisions is a comprehensive course designed to equip learners with essential skills for career advancement in the material handling industry. This course emphasizes the importance of data-driven decision-making to optimize material handling operations, increase efficiency, and reduce costs.
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โข Unit 1: Introduction to Material Handling: An overview of material handling, its importance, and the role of data-driven decisions in modern material handling systems.
โข Unit 2: Data Collection Techniques: Techniques for collecting data in material handling systems, including manual, automatic, and real-time data collection methods.
โข Unit 3: Data Analysis Tools and Techniques: An introduction to data analysis tools and techniques, including statistical analysis, data visualization, and machine learning algorithms.
โข Unit 4: Data-Driven Decision Making: The process of making informed decisions based on data analysis, including risk assessment, cost-benefit analysis, and decision trees.
โข Unit 5: Key Performance Indicators (KPIs) in Material Handling: An overview of KPIs used in material handling systems, including throughput, cycle time, and equipment utilization.
โข Unit 6: Lean Material Handling: The principles of lean material handling, including the elimination of waste and the optimization of flow.
โข Unit 7: Warehouse Management Systems (WMS): An overview of WMS, including their features, benefits, and implementation challenges.
โข Unit 8: Automation in Material Handling: The role of automation in material handling systems, including automated guided vehicles (AGVs), robots, and conveyor systems.
โข Unit 9: Safety in Material Handling: The importance of safety in material handling systems, including safety regulations, risk assessment, and accident prevention.
โข Unit 10: Case Studies in Data-Driven Material Handling: Real-world examples of successful data-driven material handling systems, including their design, implementation, and outcomes.
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