Case Summary – Bayfield Mud Company
When the Wetland drilling Inc. company that deals with drilling complained that the Mud treating supplier had made some shipment with variation in weights as they compared with other previous purchases weighing approximately 50 pounds in each bag. The company could not sustain the variation as it was beyond a tolerated level of 1.2 pounds in each bag. Wetland concluded that there was poor control of chemical at the time of drilling. This made consequences in the drilling as there was a higher cost of oil gas operations. Additionally, having reduced weight resulted in having reduced underweight storage costs in the warehouse.
The supplier was confronted so that if they keep deviation in future shipments, then they have to take their business to somewhere else. Bayfield, the supplier, confirmed in a response that there was an increase in demand for its products that are used in drilling, and that attracted the deviation. For the Bayfield company was forced by circumstances to keep having an increase, I demand to expand into a single shift business to triple one.We had new inexperienced workers hired for the night shift to make the company operate in triple shifts. Don't use plagiarised sources.Get your custom essay just from $11/page
What is your analysis of the bag weight problem?
Using statistical process control can be applied in determining the variation that occurs in the Bayfield products.SPC is used by companies involved in manufacturing during quantification, monitoring the quality of the products, and improving the production. This process is done through sorting of data sample that was obtained from the workers in the three different shifts in the Bay field company. I was able to come up with charts after calculating CL, UCL, and LCL.this could help in determining the variation of the Bayfield products. In the process, the central tendency control was used in X-chart.,R charts to control dispersion referencing to weight between the maximum and minimum deviation in all bags. as shown below the total sample was 24 n=24.The analysis is based on R and X charts and is expressed as per the terms of the outliers but exceeds LCL and UCL out of the total sample.
% defective (each shift) | % defective (total) | |||||
X-chart | R-chart | X-chart | R-chart | |||
Day | 37.5 | 4.16 | Day | 70.83 | 8.33 | |
Evening | 87.5 | 8.33 | Evening | 91.66 | 12.5 | |
Night | 70.83 | 20.83 | Night | 70.83 | 12.5 | |
What procedures would you recommend to maintain proper quality control?
There is a need to monitor the performances and double-checking on the weight feeders or all machines from time to time since this could be of benefit to make occasional reminders. There is a need for calibrating the weight feeder to ensure the weight is much accurate and to invest in technological advancement can make it more accurate to measure the Bayfield products. The experienced workers should be allowed to work in all shifts; this could ensure that there is time to teach and train the inexperienced workers as it provides high quality production.
What are Team 1’s insights and recommendations?
There is a need to use accurate scales to ensure that workers are doing it correctly. There is a need to put the new employees under new and proper training as this could improve the production process. We had new inexperienced workers hired for the night shift to make the company operate in triple shifts.Bayfiled should consider this and take the relevant actions like reducing the number of shifts
Supporting Data & Analysis
Day shift
Evening Shift
Night Shift