SKILL BENCHMARK
Predictive Analytics in Operations Literacy (Beginner Level)
- 9m
- 9 questions
The Predictive Analytics in Operations Literacy (Beginner Level) benchmark measures your ability to identify various mathematical and machine learning (ML) models and artificial intelligence (AI) used in operations. You will be evaluated on your skills in applying ML models for various tasks, such as selecting reliable suppliers, detecting faulty motors, and optimizing a supply chain. A learner who scores high on this benchmark demonstrates that they have an awareness and understanding of why and how predictive analytics and AI is used in operations.
Topics covered
- identify the methodology of the study for selecting reliable suppliers
- outline a model that predicts demand and lead times for orders
- outline details of operations and supply chain management
- outline the details of the study for detecting faulty motors
- outline the problems associated with selecting reliable and resilient suppliers
- recall the findings of the detecting faulty motors study
- recall the limitations of mathematical models and how artificial intelligence (AI) can help in operations management
- recall the results of the study for selecting reliable suppliers
- state the methodology of the detecting faulty motors study