Manikandeswaran Thirumal Mod 4

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Miami Dade College, Miami *

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Course

109

Subject

Industrial Engineering

Date

Dec 6, 2023

Type

xlsx

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12

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Errors Reported in a Seven Day Period Event Sun Mon Tues Wed Thur Jet bridge delayed 1 1 1 2 1 Baggage belt broken 0 0 0 1 0 Refueling delayed 0 0 0 2 0 Galley servicing delayed 3 6 5 11 5 Cabin cleaning delayed 0 0 0 2 0 Cabin not properly cleaned 3 5 3 10 3 Baggage loading delayed 1 0 1 2 0 Total 8 12 10 30 9 Sun Mon Tues Wed Thur Fri Sat 0 5 10 15 20 25 30 35 Histogram Chart
Fri Sat Total 1 2 9 1 1 3 0 1 3 4 10 44 0 0 2 2 7 33 1 1 6 9 22 100 The Histogram chart shows that all other days of the week have almost the same amount of errors, with Wednesday and Saturday having the highest number of errors. I would advise determining the cause of the increasing number of faults these days and fixing them.
Errors Reported in a Seven Day Period Event Sun Mon Tues Wed Thur Jet bridge delayed 1 1 1 2 1 Baggage belt broken 0 0 0 1 0 Refueling delayed 0 0 0 2 0 Galley servicing delayed 3 6 5 11 5 Cabin cleaning delayed 0 0 0 2 0 Cabin not properly cleaned 3 5 3 10 3 Baggage loading delayed 1 0 1 2 0 Total 8 12 10 30 9 This chart isn't available in your version of Excel. Editing this shape or saving this workbook into a different file format will permanently break the chart.
Fri Sat Total 1 2 9 1 1 3 0 1 3 4 10 44 0 0 2 2 7 33 1 1 6 9 22 100 . The events and the total errors by each event are shown in descending order in this pareto chart. T data indicates that a considerable portion of the events are errors related to improperly cleaned cabins and galley servicing. Thus, by analyzing the data, we can determine th Tuesday and Saturday have the highest number errors because of improperly cleaned cabins and galley servicing. We therefore need to investigat these two problems and resolve them.
re The e rest hat of d te
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