Operational Management: Quality Analytics simulation

By applying operations management simulation, individuals can gain the necessary knowledge on how they can effectively manage quality within their respective workplaces, for instance, in healthcare and the manufacturing industry. The simulation process that I completed detailed quality analysis for both process capability, the cost of quality, and the statistical process control. It majorly involved in-house process management, which caused the defect majorly referred to as the internal defects.

As instructed, I successfully accessed the “(Operations Management Simulation: Quality Analytics),” in which I managed to complete challenges one and two. Through the process, in the first challenge, I got myself repeatedly calculating the control limits for X-bar and R chart. I did that in one batch at a time. I also got forced to pull some of the samples to access the mean and range. The data I obtained is what I used in controlling the limits in the second challenge. In the second challenge, I used the same control limit as the first one. That was by inserting the values into the X-bar and R charts. After that, my objective was to determine if the process was in control. If the process was not getting into control, I resorted to recalibrating the equipment to fix the issue.

How To Determined When to Stop the Process When Making an Adjustments

Through the operation process, I determined when to stop and adjust by keeping the plot at a given average, which was 30 to 35, in the first challenge. I settled on that factor to assist me in determining or recognizing some of the significant deviations in the plot. That is when they appear to be outside the range that I set, 30 to 35. As a result, it acted as my indication to stop the process and make necessary adjustments. My main intention was to ensure there is very minimal or no outliers on the graph. The second challenge was a bit different because I resorted to making necessary adjustments to labor substitution. I did that when the slope was in a downward trend. Due to the decline that I realized, I had to make necessary modifications to the recalibration of the machine.

How To Determine Whether Machine Recalibration or Labor Substitution Would Be Best

During the simulation process, I knew or determined the best option between machine recalibration and labor substitution through an appropriate operation strategy in which I decided or opted to stop and recalibrate the machine when I noticed that there were a lot of multiple defects which were occurring. After that, I decided to stop the process and make necessary changes to the labor substitution. Based on the result of experience, it is evident that the product's production process was a bit slow compared to the previously attempted simulation, machine recalibration. There was a surge in productivity that was created by making necessary changes to the labor substitution.

The Cost of Quality When No Adjustment Is Made

Based on personal experience in the process, the cost of quality tends to remain the same when no adjustment is made (Gunal, 2019). When I first completed the simulation process time, I got confused as I could not successfully formulate how to make correct adjustments until after making a few attempts later. During the process, I noticed a high possibility of the cost of quality decreasing as a result of a machine not being calibrated. That is a clear indication or proof that, indeed, recalibration of the device is very significant to enable them to generate the best products of high quality. That aligns with my experience in the process when I realize that lack of labor substitution leads to decreased productivity. That is majorly due to a lack of human resources offering the necessary labor at the production rate.

Whether Operators Should Use Their Judgment as To When to Stop a Process for Adjustment

The operators in the simulation are in an excellent position to apply their best judgment in determining whether to stop a process for adjustment. The act of stopping a given procedure for the sake of necessary adjustment is very significant and has a positive impact on the quality of the product (Gunal, 2019). Such an adjustment also significantly impacts the number of products produced by the particular organization as it tends to increase production volume. It also affects production cost as necessary adjustments enable the organization to enhance quality output and low cost (Tang, & Meng, 2021). Based on personal experience, I managed to stop recalibrating the machine since multiple defects were occurring. When I realized that the production was very slow in producing products than my previous attempts, I stopped making changes to labor.

If The Process Can get Adjusted Too Often

It is possible to adjust too often to the simulation process. However, the number of necessary adjustments for the operator depends on certain factors, such as production conditions (Mustafa et al., 2018). Based on personal opinion, I believe that it is only appropriate to make adjustments only when the slope is trending too far in the wrong direction. It is just necessary for the adjustment to get made too often to rectify the situation. There is no need for the concerned individuals to cause excessive or too often adjustments if the current methods work well (Tang, & Meng, 2021).  The best option in such a situation is to limit changes as much as possible. However, it might not be appropriate if the processes have seized to work.

Generally, through operations management simulation, it is much possible to gain the necessary knowledge on managing quality within the workplace. Based on personal experience from the exercise, when no adjustment gets made, the cost of quality tends to remain the same. However, various benefits or impacts are attached to appropriate adjustments; for example, machine recalibration enables it to generate quality products and also increases efficiency in the operation process. There is also the need for labor substitution to increase productivity. It is possible to adjust too often in case the trend gets headed in the wrong direction.

Outline on Operational Management: Quality Analytics simulation

1. Introduction

• The case or work process involved

2. How To Determined When to Stop the Process When Making an Adjustments
3. How To Determine Whether Machine Recalibration or Labour Substitution Would Be Best
4. The Cost of Quality When No Adjustment Is Made
5. Whether Operators Should Use Their Judgment as To When to Stop a Process for Adjustment
6. If The Process Can get Adjusted Too Often
7. Conclusion
8. References