Guest Complaints FY20 250 227 100% 90% 200 187 80% 137 105 | 82 150 60% 50% 100 40% 60 45 41 30% 50 31 20% 7 776 5 4 4 10% 0% Category AISA Pareto chart above display the guest complaints of a hotel services within a month. The best analysis that you can conclude from the chart are as below, except: I notice that some of the complaints are relates to the staff. So, if I can combine all those complaints in a new categories for example "staff services", it will be identified as the 20% of the problem that will bring 80% of the profit to the hotel. Rude/unfriendly staff has been identified as the 20% of the problem that will bring 80% of the profit to the hotel. Room temperature has been identified as the 20% of the problem that will bring 80% of the profit to the hotel. Complaints that are colored in green which identified as the tail of mice can be totally neglected. Volume Room temperature No/poor internet Too noisy Dirty room Room service food Rude/unfriendly staff Room service other Unattentive staff Parking/valet Wake up call Unmatched expectation o Front desk Unexpected fees | DND not adhered to N No hot water Adjunct services | a Other (Misc) Toiletaries w Room electronics | w View/aspect N Reservation issue N Theft N Complimentary goods N Minibar Uncomfortable bed Door key 1, Traffic Hotel rules Food/bev quality Cumulative %
Guest Complaints FY20 250 227 100% 90% 200 187 80% 137 105 | 82 150 60% 50% 100 40% 60 45 41 30% 50 31 20% 7 776 5 4 4 10% 0% Category AISA Pareto chart above display the guest complaints of a hotel services within a month. The best analysis that you can conclude from the chart are as below, except: I notice that some of the complaints are relates to the staff. So, if I can combine all those complaints in a new categories for example "staff services", it will be identified as the 20% of the problem that will bring 80% of the profit to the hotel. Rude/unfriendly staff has been identified as the 20% of the problem that will bring 80% of the profit to the hotel. Room temperature has been identified as the 20% of the problem that will bring 80% of the profit to the hotel. Complaints that are colored in green which identified as the tail of mice can be totally neglected. Volume Room temperature No/poor internet Too noisy Dirty room Room service food Rude/unfriendly staff Room service other Unattentive staff Parking/valet Wake up call Unmatched expectation o Front desk Unexpected fees | DND not adhered to N No hot water Adjunct services | a Other (Misc) Toiletaries w Room electronics | w View/aspect N Reservation issue N Theft N Complimentary goods N Minibar Uncomfortable bed Door key 1, Traffic Hotel rules Food/bev quality Cumulative %
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
quality control

Transcribed Image Text:Guest Complaints FY20
250
100%
227
90%
200
187
80%
137
105
150
60%
50%
100
82
40%
60
30%
45 41
31
17
50
20%
877
2 111
10%
0%
Category
RISA
Pareto chart above display the guest complaints of a hotel
services within a month. The best analysis that you can
conclude from the chart are as below, except:
I notice that some of the complaints are relates to the staff. So, if I can combine all
those complaints in a new categories for example "staff services", it will be identified
as the 20% of the problem that will bring 80% of the profit to the hotel.
Rude/unfriendly staff has been identified as the 20% of the problem that will bring
80% of the profit to the hotel.
Room temperature has been identified as the 20% of the problem that will bring 80%
of the profit to the hotel.
Complaints that are colored in green which identified as the tail of mice can be totally
neglected.
Volume
Room temperature
No/poor internet
Dirty room
ksjou o01
Room service food
Rude/unfriendly staff
Room service other
Unattentive staff
Parking/valet
Wake up call
Unmatched expectation o
Front desk
Unexpected fees N
DND not adhered to N
O unopo
No hot water
Adjunct services |
Other (Misc)
Toiletaries | w
Room electronics w
View/aspect N
Reservation issue N
Complimentary goods N
Minibar
Uncomfortable bed
Door key
Traffic
Hotel rules
Food/bev quality
Cumulative %
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