Southern Methodist University
Master of Business Administration, Masters
Southern Methodist University - Cox School of Business
Master of Business Administration, Masters, Leadership, Marketing, Finance
Montana State University - Bozeman
Master of Science, Masters, Management, Engineering
Skills:
Semiconductors Program Management Engineering Management Cross Functional Team Leadership Mobile Devices Wireless Manufacturing Project Management Lean Six Sigma Finance Cost Management Process Improvement Process Management It Management
Certifications:
Apics Msi -Management and Strategy Institute, License 4500732 Apics Certification Lean Six Sigma Green Belt Certified
Texas Instruments 2001 - 2016
Industrial Engineer
Amd 1992 - 2001
Production Control Manager
Project Program & Lean Management Expert 1992 - 2001
Kishore Potti, Mba
Education:
Southern Methodist University - Cox School of Business
Master of Business Administration, Masters, Leadership, Marketing, Finance
Montana State University - Bozeman
Master of Science, Masters, Management, Engineering
Skills:
Leadership Engineering Management Finance Process Improvement Program Management Cross Functional Team Leadership Manufacturing Change Management Management Semiconductors Project Management Lean Six Sigma Software Development Life Cycle Cost Management Wireless Process Management Mobile Devices Software Project Management It Management
Interests:
Kaizen Apics Strategic Leadership Innovative Technology Pmp Optimal Solution Driver Operations Analysis and Planning Six Sigma Green Belt Relationship Builder Jit Inventory Management Value Stream Mapping (Vsm) Theory of Constraints Mba Organizational Change Persuasive Communication Skills Continuous Process Improvement
Manuel Aybar - Garland TX, US Kishore Potti - Richardson TX, US
International Classification:
G06F017/60
US Classification:
705/009000
Abstract:
This invention relates to a method, a program, and a system for the determination of the proper number of workers to staff a production line. The invention provides a periodical production plan, a capacity model, and a production worker performance database. The database includes both the time required for a worker to perform activities prior to and following the worker activating a tool for processing a semi-product. The number of worker to staff the production line properly is generated with the method. Actual performance data are collected to update the worker performance database.