Industry Manufacturing
Specialization Or Business Function
Technical Function Analytics (Predictive Modeling, Machine Learning, Spatial Analysis, Computer Vision, Image Analysis)
Technology & Tools Programming Languages and Frameworks (R)
The goal of this project is to use a data set of 3D CAD models (input) correlated to known manufacturing times for milling (output) so to generate an algorithm(s) to predict milling manufacturing times from 3D CAD models. This is an exploratory project to determine whether the inputs currently available can provide algorithmic outputs that are accurate within +/- 5% of known outputs.
We are looking for out of the box thinking to develop these alogrithms. We are are dealing with 3D objects and there may be unconventional approaches that may help us accurately predict the Run Time so that it can be used to balance the Capacity Loading on our shop floor. This Run Time would serve as a workload trigger to accurately manage committed lead times.
Data Inputs
Option A: 3D CAD Model: available in a variety of formats (see Appendix A)
Option B: Option A plus Variables (see Appendix B) readily extracted from 3D CAD model (ie XYZ extents, volume, area)
Option C: Option B plus Variables (see Appendix C) extracted 3D CAD model from Rapid developed proprietary tools
Data Output (Results)
Provided in Data Sample:
1. Total Run Time
2. Desired Data Output
3. Even More Useful Data Output
4. All parts provided will only have two Operations
Our Current Software & Platforms
Output Format
Questions
Appendices (see attached PowerPoint file)
NB: An Excel file is attached with part run times and definitions and a zip file contains 3D models that are linked to the "Part URL" column in the Excel file.
Please clearly specify the following in your proposal:
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