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Process and Model Optimization Course

Process and Model Optimization Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

The Process and Model Optimization Course provides practical tools to streamline order fulfillment, reduce delays, and minimize errors. Participants learn to map end-to-end processes, develop transparent capacity models, simulate peak-demand scenarios, and implement data-driven benchmarks. The course utilizes clear templates, staffing calculators, and ROI-focused strategies to prioritize enhancements and deploy measurable, low-risk changes efficiently.

Elevify advantages

Develop skills

  • Process mapping mastery: quickly identify waste in order fulfillment flows.
  • Capacity modeling in Excel: build clear FTE, backlog, and overtime forecasts rapidly.
  • Scenario planning for peaks: stress-test operations and scale labor for surge demand.
  • Data-driven labor planning: establish shifts, benchmarks, and staffing using solid data.
  • Optimization playbooks: prioritize Kaizen, layout, and automation with clear ROI.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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