Case Study- Bayfield Mud Company

Case Study- Bayfield Mud CompanyDilipNavjotAmanpreet SinghIntroductionAccording to the suit of clothes study of the bag weight problem, and then the discover department equanimous the weight bag as a sample from three contrastive pillow slips (morning, afternoon, night) each day. As per given report the six samples collected per shift, therefore the size of the sample is six. To analysis the report of three unlike shift, we depart apply x- pass on graph and range chart.Moreover we will take bastardly value i.e is 50, explanation given below. In addition we will as well calculate the range chart figure for every samples in different shifts, which will be find out by applying formula (Largest-Smallest). analytic thinkingD3(Value taken from Sigma table)=0D4 (Value taken from Sigma table)==2.004N(Sample Size)=6Standard Deviation=1.2 sought after witness Limit 3Sigma =99.73%FormulationFor X graphUCL x (Upper supremacy Limit for x bar) = X-Dbl Bar+ZxLower Control Limit (Upper Control Limit = X-Dbl Bar-Zxx= is calculated by /Sqrt(n)For R ChartUCLR (Upper Control Limit for the Range) = D4*RBarLCLR(Lower Control Limit for the Range)= D3*Rbar daybreak ShiftFor X ChartFor R ChartSamples beat Shifts cleanSmallest LargestRangeX Bar (Averages)49.80R-Bar (CL)3.4516 twenty-four hour period 1 Morning49.648.750.72.0UCLx51.27LCL r0.002750.249.151.22.1LCLx48.33UCL r6.913850.649.651.41.8CL504950.850.251.81.651049.949.252.33.161150.348.651.73.171248.646.250.44.2814946.4503.696Day 2 Morning48.647.4524.61075049.252.23.011849.84952.43.412950.349.451.72.3131050.249.651.82.21411504952.33.315125048.852.43.616150.149.453.64.2176Day 3 Morning48.445494.018748.844.849.74.919849.64851.83.82095048.152.74.621105148.155.27.1221150.449.554.14.623125048.750.92.224148.947.651.23.6Afternoon ShiftFor X ChartFor R ChartSamplesTime ShiftsAverageSmallest LargestRangeX Bar (Averages)48.93R-Bar (CL)4.3812Day 1 Afternoon494650.64.6UCLx50.40LCL r0.002349.848.250.82.6LCLx47.46UCL r8.783450.349.2 52.73.5CL504551.45055.35.35651.649.254.75.56751.85055.65.6785148.653.24.68950.549.452.4392Day 2 Afternoon49.7048.6512.410348.447.251.74.511447.2045.350.95.612546.844.1494.913646.84151.210.21475046.251.75.515847.44448.74.71694744.248.94.7172Day 3 Afternoon49.848.4512.618349.848.850.821945049.150.61.520547.845.251.2621646.44449.75.722746.444.4505.623847.246.648.92.324948.447.249.52.3Night ShiftsX Bar ChartR ChartSamplesTime ShiftsAverageSmallest LargestR-BarX Bar Average48.65R- Bar (CL)3.36110Day1 Night49.246.150.74.6UCLx51.50UCLr6.732114946.350.84.5LCLx45.80LCLr031248.4045.450.24.8CL504147.644.349.75.45247.444.149.65.56348.2045.2493.8744845.549.13.68548.4047.149.62.5910Day 2 Night47.246.650.23.6101148.647503111249.848.250.42.212149.648.451.73.3132504952.23.21435049.2500.815447.246.350.54.21654744.149.75.61710Day 3 Night49.248.150.72.6181148.404750.83.8191247.246.449.22.820147.446.8492.221248.847.251.44.222349.64950.61.62345150.551.5124550.55051.91.9Analysis Report After collusive a nd analysing the three different shifts of three days. We can observe that second shift and third shift consistently out of mold. Although, 21 Samples of range chart is only out of control which is 7.10 which is greater than UCLr which is 6.9. Despite, this is only shift which is in control. By observing the second shift it is clearly seen that x chart is out of control, whereas R chart of second shift is in control only 13 Samples is out of control which is 10.20 whereas UCLr is 8.7842 Now, for third shift, the X bar Chart the process is consistently out of control whereas the R chart is perfectly in control.Recommendation. In order to control the system, Company should be done some changes, mention belowIn order to advance up the productivity, training should be provide to the new employees especially in the night shift. Another solution company can shift experient employee in night shift to maintain the balance.Bayfield Mud Company should figure their machinery on regular bas is as prescribed by managers. As we know a small issued can convert into big preventive at the time of execution.Company should hire some quality control specialist who can take proper responsibilities of audit and track every problems with all documents in efficient way.Bayfield Company should do automated exam device to observe the bag weights.