Quality Management and Productivity Simulation

Quality management determines and implements the quality policy of the organization (UOP, n.d.). The simulation ‘Quality Management and Productivity’ focused on the use of total quality management tools to analyze problems and resolve them short term. Furthermore, the simulation focused on designing a human resource program to promote quality culture in an organization in the long-term. “A well-implemented quality management policy reduces cost arising out of defects and waste” (UOP, n.d.). The simulation required an investigation of Seguro’s defect rates. This required the use of quality tools like Control Charts, Pareto Charts, and Cause and Effect Diagrams to analyze date given for the four processes of manufacturing of Seguro’s cabinets. Interpretation of the data correctly narrowed down the defective process area.

Company OverviewEstablished in the 1980s, Seguro Corporation is a manufacturer of computer cabinets with current revenue of 25 million dollars. Despite of all the quality control processes in place, Seguro Corporation still has quality obstacles that company must resolve for their consumer to maintain high quality standards.

English: Mild steel sheet metal close-up view. Deu...

Roll bending

Example_of_a_reasons_Pareto_chart

CaseSys Inc. is one of Seguro’s leading customers. CaseSys Inc. accounts for 24 percent of Seguro’s total sales and has rejected a large shipment of cabinets because of non-conformance to specifications. The sudden surge that the company faces can affect the corporation reaching overall goals and objectives.

Defective AreasThe four processes involved in the manufacture of Serguro’s computer cabinets are stamping, welding, riveting, and injection molding. The first challenges that the company faced was a high rework rate from the stamping process. The stamping process had allocated 351 million dollars in rework costs and was the number one contributor of the Total Cost of Quality within the process. Although, Welding showed special cause variation of the process by going out of control for three data points, the overall rework showed...