Enterprise Resource Planning Using Multi-type Transformers in Ferro-Titanium Industry | ScienceToStartup | ScienceToStartup

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References (11)

[1]

GOAL: A Generalist Combinatorial Optimization Agent Learner

2024Darko Drakulic, Sofia Michel et al.

[2]

An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

2019Chaitanya K. Joshi, T. Laurent et al.

[3]

Reinforcement Learning for Solving the Vehicle Routing Problem

Founder's Pitch

"Leverage Multi-Type Transformers for optimizing resource planning in the Ferro-Titanium industry, targeting complex scheduling and packing problems."

Industrial AI•Score: 5•View PDF ↗

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Enterprise Resource Planning Using Multi-type Transformers in Ferro-Titanium Industry

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References (11)

Founder's Pitch

"Leverage Multi-Type Transformers for optimizing resource planning in the Ferro-Titanium industry, targeting complex scheduling and packing problems."

Commercial Viability Breakdown

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Enterprise Resource Planning Using Multi-type Transformers in Ferro-Titanium Industry

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References (11)

Founder's Pitch

"Leverage Multi-Type Transformers for optimizing resource planning in the Ferro-Titanium industry, targeting complex scheduling and packing problems."

Commercial Viability Breakdown

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