Scientific Management Techniques is the global leader in "Hands On" Manufacturing Skills Assessment programs. World-Class manufacturing organizations use Scientific Management Techniques’ manufacturing skills Assessment Programs and manufacturing skills Training Programs to drive productivity and profitability in their facilities. The “Hands-On Assessment Machines” identify and measure the skills required to operate, maintain, and troubleshoot a modern manufacturing facility. SMT’s portable "assessment machines" and assessment protocols deliver a Hands-On, Scientific Based, Data Driven workforce skill assessment solution that lowers the risk and cost of hiring and drives industrial performance by increasing the skill level of your workforce. The data driven hiring process allows manufacturers to make better hiring decisions based on proven, validated success factors and extend their lean initiatives into the hiring process. SMT's industrial skill Assessment Machines and Protocols are used in the hiring process globally for the selection and evaluation of maintenance mechanics, machine operators, industrial electricians, PLC technicians, electro-mechanical personnel and CNC operation personnel. SMT's assessment "machines" replicate conditions found in manufacturing facilities. The machines, together with our validated assessment methodologies, identify and measure skills and competencies that traditional written tests are not designed for and are unable to recognize. Community Colleges and training entities tasked with delivering skilled graduates into industry embrace both solutions to shrink the skills gap that exists in manufacturing globally. SMT’s Demand-Driven training program is manufacturing specific. Our Industrial Skills Training Program trains to the specific skills our global clients have conveyed to us as critical for productive long-term employment.
Mechanical, Electrical, PLC Ladder logic, CNC, Industrial Skills Assessment Programs, Skills Training Programs, Process Control, Apprentice Feeder Programs, Mechatronics