| 1 -Bottleneck Analysis.mp4 | 61.8 MB | ||
| 1 -Dynamic Inventory Model.mp4 | 203.7 MB | ||
| 1 -Introduction.mp4 | 85.9 MB | ||
| 1 -Optimization & Data Science.mp4 | 89.1 MB | ||
| 1 -Production Planning with Streamlit.mp4 | 197.8 MB | ||
| 1 -VRP Time Windows - Code Lesson.mp4 | 97.1 MB | ||
| 2 -Operations Research & Machine Learning.mp4 | 71.4 MB | ||
| 2 -VRP Time Windows - Output.mp4 | 29.8 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B |
Business Process Optimization with Data
https://WebToolTip.com
Published 9/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 2m | Size: 836 MB
Data-Driven Business Process Optimization: From Mathematical Modeling to Real-World Applications
What you'll learn
Build mathematical models to represent business problems and solve them using optimization methods.
Apply optimization techniques to real cases such as supply chain management, production planning, scheduling, and inventory control.
Use data-driven methods like process mining, bottleneck analysis, and KPI dashboards to analyze and improve workflows.
Implement advanced business process applications including facility location, routing and scheduling, manpower planning, and goal programming.
Requirements
Basic understanding of business processes will be helpful, but no prior knowledge of optimization is required.
Familiarity with Python is recommended for coding sections, though step-by-step explanations are provided.
A willingness to learn analytical and quantitative methods for business decision making.
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