Individual Operations Management Report - Essay Example

After conducting an analysis using Statistical process control tools, the company found that there processes are out of control and they are not meeting the quality standards. Table of Contents Introduction & Problem Description: 3 Methodology: 3 Results: 4 Types of Data: 4 3 Sigma control for the processes: 4 Discussion and recommendations: 7 Conclusion: 8 Bibliography: 9 Appendix: 10 Introduction & Problem Description: RTP Industries is one of the most renowned manufacturers of steel and aluminum products.

The company holds its footstep in the major countries of the world and operates globally. Due to stiff competition in the recent years from Chinese and Indian manufacturers, the company has lost a significant portion of its market share. To reestablish itself, the company is emphasizing on research and development program in order to innovate new products. Quality has remained the top priority since then as the company expects that through quality assurance and control it can again boost its sales.

Total Quality management has been at the heart of company’s vision and it has been introducing tools and techniques to maintain the quality of its products. One of the tools it has recently deployed is Statistical Process Control for measuring the performance of the manufacturing process and to let identify it there are any weaknesses in the process. Recently, the company has received a lot of complaints regarding the hydraulic products. It was believed that the discrepancies in the size and surface quality of the steel rods are causing leakages in hydraulic products.

Methodology: In order to meet the required standards and improve its quality, the quality manager has planned to run a Statistical Process Control Analysis. A Statistical process control involves a random sampling of the output of the process which determines whether the process is meeting the quality standards or not. For the above purpose, the quality manager has randomly collected data on samples of three steel rods daily. The quality manager collected two types of data The diameter of the selected steel rods was measured and recorded in centimeters over a 25 day period.

The number of surface errors in the selected steel rods was calculated and recorded over a 25 day period. Results: Types of Data: There are two different types of data given to us in this scenario. The first data is concerned with the diameters of the selected steel rods. As we know that diameter is a continuous variables and it can take any value therefore we will use an x chart as a Statistical process control chart to monitor the process. The second set of data contains information about the number of surface errors in the selected steel rods.

The second type of data has used sampling through attributes measure for the collection purpose. Since it contains information about whether there are surface errors in the steel rod therefore it is measuring the attributes of the steel rods. We will use a c chart as a Statistical Process Control tool for monitoring this process since there are more than one surface errors in some steel rods so we will count number of errors per steel rod. 3 Sigma control for the processes: Size of diameters of rods: For the first sample of data regarding the diameter of the