TQM Tools Application-Nicolle Ramirez

xlsx

School

Embry-Riddle Aeronautical University *

*We aren’t endorsed by this school

Course

420

Subject

Industrial Engineering

Date

Dec 6, 2023

Type

xlsx

Pages

10

Uploaded by CoachDove1586

Report
Sun Mon Tues Wed Thur Fri Sat Jet bridge delayed 1 1 1 2 1 1 2 Baggage belt broken 0 0 0 1 0 1 1 Refueling delayed 0 0 0 2 0 0 1 Gallery servicing delayed 3 6 5 11 5 4 10 Cabin cleaning delayed 0 0 0 2 0 0 0 Cabin not properly cleaned 3 5 3 10 3 2 7 Baggage loading delayed 1 0 1 2 0 1 1 Total 8 12 10 30 9 9 22 Sun Mon Tues Wed Thur Fri Sat 0 5 10 15 20 25 30 35 Chart Title This chart isn't available in your version of Excel. Editing this shape or saving this workbook into a different f format will permanently break the chart.
Total 9 3 3 44 2 33 6 100 file
Galley servicing delayed Missing gallery support staf 3 2 6 3 5 3 11 7 5 3 4 3 10 7 2 3 4 5 6 7 8 9 10 11 0 1 2 3 4 5 6 7 8 f(x) = 0.667525773195876 x − 0.195876288659795
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12 The chart indicates a positive correlation between the number of staf shortfalls and the delay in galley servicing. The galley servicing delay rises in tandem with the number of staf shortages. This implies that one of the reasons behind the galley servicing delay errors is a staffing shortage. Based on the data, we can suggest the following actions to lower the galley servicing delay errors: Recruit more workers to make up for staf shortages on days when galley servicing delay errors are high. Put in place a system to more efectively manage staf scheduling so that, on days when galley servicing delay errors are high, there is sufficient coverage. Perform a root cause analysis to find any underlying problems that are causing the staffing shortage and take appropriate action. By implementing these changes, we can lessen the staffing shortfall and enhance the efectiveness of the galley servicing procedure, which will ultimately lower the errors that cause galley servicing delays.
Title Quality control/c-chart Number of samples 7 Data Results # Defects Total units sampled 7 Sun 3 Total Defects 44 Mon 6 6.285714 Tues 5 Standard deviation 2.507133 Wed 11 Above UCL z value 1.5 Thur 5 Fri 4 Upper Control Limit 10.04641 Sat 10 Center Line 6.285714 Lower Control Limit 2.525015 Graph information Sun 3 2.52501526 6.285714 10.04641 Mon 6 2.52501526 6.285714 10.04641 Tues 5 2.52501526 6.285714 10.04641 Wed 11 2.52501526 6.285714 10.04641 Thur 5 2.52501526 6.285714 10.04641 Fri 4 2.52501526 6.285714 10.04641 Sat 10 2.52501526 6.285714 10.04641 Defect rate, l 1 0 2 4 6 8 10 12 Mean Enter the number of defects for each of the samples/items. Enter the number of defects for each of the samples/items.
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2 3 4 5 6 7 c-chart Sample
7 Column B Column C Column D Column E
Galley Equipment Personnel Processes - Insufficient staffing levels - Poor communication between team members - Poor quality control or inspection - Inadequate maintenance or cleaning - Poor storage or handling practices -Inadequate labeling or identification Environment - Noise or other distra -Temperature or hum extremes
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y Service Delays actions midity