Customer expectations drive Freescale Quality. Our management programs and processes are designed to ensure customer satisfaction in every aspect of our relationship. Freescale’s leadership team has developed the “Freescale Way”, which defines our guiding philosophy for quality strategy, goals and new quality program initiatives. Quality review are held regularly and are chaired by the CEO with the participation of his direct staff and led by the VP of Quality. At these meetings, the CEO reviews key quality results, customer feedback reports and trends, and the status of quality improvement initiatives. These reviews enable the CEO to continually adjust corporate strategy and resources to stay on target to our customer’s needs and expectations.
The Freescale Way
The Freescale Way, is a company-wide continuous improvement effort focused on problem solving and providing the highest level of quality every step of the way. Every problem represents a challenge to quality, and every employee should be engaged in quality improvement. The “Freescale Way” focuses on problem elimination, not reduction, by putting an emphasis on understanding top problems, so that our corrective actions are targeted and efficient. Focus is placed on employee development to teach our team members to be good problem solvers and our managers to be good mentors and coaches. Everyone is empowered in the Freescale Way with an expectation of 100% participation at every level to look for ways to improve the quality of our work and workplace.
Quality Information Systems
Freescale has developed online quality tools and processes to support both operational and customer requirements. They are accessed though our internal “Quality Portal” website. The Quality Portal is the Freescale “homepage” for critical business functions such as, Global PCN, FMEA database, Change Action Boards (CAB), Customer Failure Analysis requests, internal 8D reports, and many other processes that support our Quality Management System. The system enables extensive reporting and data mining capabilities.