Req. ID: 141361
Description: Cycle time is a key enabler to accelerate cycle of learning for
New Product Introduction. This is critical to ensure market competitiveness in
this industry. Effective and automated cycle time analysis and diagnostics
tools are required to accurately uncover cycle opportunities timely. It is
important to move towards predictive approach in forecasting- enabled by
simulations- statistical analysis and enhanced machine learning capabilities.
Scope: To build an auto diagnostic platform from scheduling simulation results
to gain opportunities to improve cycle time. Candidate will collaborate with
diverse cross-functional teams on cycle time dissection analysis- improvement
and optimization. In the process- candidate will build frontier`s predictive
analytics model and establish forward-looking strategies. Deliverable
Candidate will work various partners to develop an automated platform whic
can evaluate and diagnose cycle time opportunities from simulation results.
All qualified applicants will receive consideration for employment without
regard to race- color- religion- sex- sexual orientation- gender identity-
national origin- veteran or disability status.