Predictive Analytics: Case Studies for Operations
Predictive Analytics
| Intermediate
- 11 videos | 1h 36m 8s
- Includes Assessment
- Earns a Badge
Nowadays, the domains of operations management and supply chain management are growing ever more complex. Operations management is the management of labor, resources, and processes for goods manufacturing for customers. Supply chain management encompasses the timely procurement of materials for factories and the safe and timely transportation of finished products to the end customer. In this course, explore a case study about leveraging machine learning models for identifying reliable suppliers. Next, examine a study that attempts to identify failures of induction motors using machine learning models. Finally, discover how analytics can be used to predict order lead time and demand in an aluminum firm. Upon completion, you'll be able to outline use cases for the application of AI to operations and supply chain management.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this courseOutline details of operations and supply chain managementRecall the limitations of mathematical models and how artificial intelligence (ai) can help in operations managementOutline the problems associated with selecting reliable and resilient suppliersIdentify the methodology of the study for selecting reliable suppliersRecall the results of the study for selecting reliable suppliers
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Outline the details of the study for detecting faulty motorsState the methodology of the detecting faulty motors studyRecall the findings of the detecting faulty motors studyOutline a model that predicts demand and lead times for ordersSummarize the key concepts covered in this course
IN THIS COURSE
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1m 48s
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7m 3s
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9m 27s
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8m 56s
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6m 35s
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12m 31s
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13m 4s
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10m 37s
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8m 35s
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12m 49s
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4m 44s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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