Supervisor in RSM’s Advanced Analytics and AI Consulting practice focusing on data, machine learning, and AI solutions. Collaborating with teams to deliver advanced analytics projects for clients.
SA
Hybrid Thesis Project – Enhancing Machining Time Estimation, AI, Digital Prototyping
Posted 4 months ago
About the role
- Thesis Project at Sandvik Coromant developing AI-supported methods for machining time estimation. Involves gathering data, analyzing processes, and creating a prototype solution.
Responsibilities
- Pre-study including information gathering, method selection and plan of the thesis work.
- Get insights into process planning.
- Get insights into existing time study calculations in various applications and work practices.
- Analyze existing solutions related to process planning in the markets and their limitations.
- Collect end-user requirements.
- Investigate how AI can enhance machining time estimation.
- Define requirements on data to be managed and data model.
- Define necessary algorithms to calculate time study for different operation types (limited scope – Milling/Turning/Drilling)
- Create a prototype to validate the algorithm.
- Conclude findings, challenges, and suggested solutions.
- Written report and oral presentation.
Requirements
- Master studies in Mechanical/Production/Computer engineering, or similar.
- Good skills and interest in process and operation planning.
- Skills and interest in information modeling, AI and programming.
- Insights into the metal cutting industry and processes are beneficial.
- Excellent communication skills in English and/or Swedish.
Benefits
- Fair and rewarding benefits
- Many different career opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Location requirements
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