Quality control

Industrial & Manufacturing Engineering 571 Quality Control Assignment #5 Spring 2020 Due: March 12th, 2020 ABET Outcomes Spring 2020 IE 571: (a) Ability to apply knowledge of mathematics, science, and engineering a1: Apply knowledge of mathematics for solving engineering problems. (e) An ability to identify, formulate, and solve engineering problems e1: Identify & formulate industrial engineering problems e2: Use industrial engineering techniques to solve problems The objective of this assignment is to understand the construction, analysis, interpretation and presentation to management of Statistical process control charts. 1. Cylinder Liner Boring Case Study (Section 6.8 from Text) illustrates the complete process of SPC to bring a process into a state of statistical control. 2. You will review the manufacturing operation situation, apply X(bar) and R control charts, interpret the initial results, remove assignable causes, collect additional samples, determine new control points, plot revised chart, look for statistical signals & tests for control chart interpretation that have been violated. Diagnose the causes for the behavior reflected on the revised chart using Cause & Effect diagram. Collect & plot additional samples to ascertain no statistical signals are apparent and to confirm the effectiveness of corrective actions. 3. A written report and a power point presentation is required. Submit both hard & soft copies for evaluation. Industrial & Manufacturing Engineering 571 Quality Control Assignment #5 Spring 2020 Due: March 12th, 2020 ABET Outcomes Spring 2020 IE 571: (a) Ability to apply knowledge of mathematics, science, and engineering a1: Apply knowledge of mathematics for solving engineering problems. (e) An ability to identify, formulate, and solve engineering problems e1: Identify & formulate industrial engineering problems e2: Use industrial engineering techniques to solve problems The objective of this assignment is to understand the construction, analysis, interpretation and presentation to management of Statistical process control charts. 1. Cylinder Liner Boring Case Study (Section 6.8 from Text) illustrates the complete process of SPC to bring a process into a state of statistical control. 2. You will review the manufacturing operation situation, apply X(bar) and R control charts, interpret the initial results, remove assignable causes, collect additional samples, determine new control points, plot revised chart, look for statistical signals & tests for control chart interpretation that have been violated. Diagnose the causes for the behavior reflected on the revised chart using Cause & Effect diagram. Collect & plot additional samples to ascertain no statistical signals are apparent and to confirm the effectiveness of corrective actions. 3. A written report and a power point presentation is required. Submit both hard & soft copies for evaluation