At ABB, the business problem is to optimize manufacturing operations, including material replenishment requests and routes for material handlers, to ensure timely supply flow and enhance overall efficiency.
Requirements
- Knowledge of algorithms and data modeling
- Utilize critical thinking skills to analyze complex situations and develop strategic solutions
- Effectively organize and prioritize tasks to meet deadlines
- Exhibit the capability to manage several tasks at once while maintaining high standards of quality
- Collaborate with team members to convey ideas, share information, and provide updates on project progress
- Currently enrolled in a bachelor's or master’s degree program in Computer Science, Data Science or a related field in the United States
Responsibilities
- Analyzes, models, and proposes an application that automates material replenishment requests to ensure timely supply flow
- Optimizes routes for material handlers (forklift and tugger operators), including finished goods pick-up
- Interfaces with the existing MES system through APIs or middleware for seamless integration
- Collaborates with factory specialists to formalize the business case and select technical elements for the solution
- Tests, validates, and documents the solution in real manufacturing environments, providing support for troubleshooting
- Develops a plan to scale the solution across manufacturing operations
Other
- Currently enrolled in a bachelor's or master’s degree program in the United States
- Must be legally authorized to work in the United States without company sponsorship now and in the future
- Intern must have reliable transportation to and from the worksite
- Must be able to work onsite/hybrid in Cary, NC
- Must be able to effectively organize and prioritize tasks to meet deadlines
