THE HIVE BACKPACKERS’ HOSTEL
An explorative first glance of the current state of The Hive Backpacker Hostel and how we
seek to revolutionise it.Seng Keong Ho
Bernard GohJin Hao NgAndy Tanzil
Joash Yeo
Our VALUE proposition
HIVES, IN-BRIEF
Provides low-cost accommodation to backpackers and travelers around the world
A total of 15 rooms
Opens from 7.30am to 12.00am
Strategy - Best accommodation, lowest prices
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HIVES, The PROBLEM
NOW Simple Microsoft Excel usage to manage its operations and keep track of guests records
RESULT Disorganised, manual-based process, inaccurate
PROPOSAL OPERATIONAL EFFICIENCY
ADMINISTRATIVE EFFICIENCY
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OPERATIONAL EFFICIENCY
CLEANING SCHEDULEProblem : Irregular check-in and check-out timings of customers complicate the cleaning process
Solution : Create a model to ensure rooms are always in ready condition and maximise cleaning staff efficiency
CLEANING SCHEDULE (MODEL)
Room Name
Check-‐Out Timing(DD/MM/YYYY HH/MM) Clean by Timing Time Left Status
HIBISCUS1
3/3/2013 17:30
3/3/2013 18:30
60 mins
HIBISCUS2
3/3/2013 15:30
3/3/2013 16:30
-60 mins Lapsed
TIME NOW: 17:30
BED SHEET Management
Problem : Shortage of clean bedsheets and lapses in bed sheet changing
Solution : A model to churn out the number of clean bedsheets needed to meet short-term demand and optimise bed sheet-changing schedule
No. of Bedsheets to be changed TODAY = 0No. of Bedsheets to be changed in 2 days = 0
BED SHEET Management (MODEL)
Bed No Check in date Bed Sheet Change Date Change by date Days left Status
H1B1 5/3/2013 Nil 12/3/2013 6
H2B21/3/2013 2/3/2013 9/3/2013 3
DATE: 5/3/2013
HIVES, The PROBLEM
NOW Simple Microsoft Excel usage to manage its operations and keep track of guests records
RESULT Disorganised, manual based, inaccurate
PROPOSAL OPERATIONAL EFFICIENCY
ADMINISTRATIVE EFFICIENCY
ADMINISTRATIVE EFFICIENCY
Automating Guest Check-insOPTIMAL Bed Pricing
ProblemCheck-in Date Name Amount Paid (S$)
Mon Ah Kow 45
Tues Barnabas 45
Wed Chernobyl 90
Thurs Dixie 135
Fri Elon 90
$135, Receipt to Ms Chick
$45, paid on Wed
$90, billed on Sat
Automating Guest Check-insManager scours through daily records to tally with cash/check records
Check-in Date Name Nights Amount Paid
(S$)Mode of Payment Payment Settled?
Mon Ah Kow 1 45 Cash Y
Tues Barnabas 1 45 Master Y
Wed Chernobyl 2 90 Visa NThur
sDixie 3 135 Cash N
Fri Elon 2 90 Check Y
Automating Guest Check-ins
SolutionA spreadsheet that correctly captures the payment made by every guest in real-time
Automating Guest Check-ins
SolutionA spreadsheet that correctly captures the payment made by every guest in real-time
Month of Jan’13 (S$)Month of Jan’13 (S$)Month of Jan’13 (S$)Month of Jan’13 (S$)Month of Jan’13 (S$) Visa Master AMEX Cheque Cash
2341.51 4231.2 34.30 1045 1050.5
Month of Feb’13 (S$)Month of Feb’13 (S$)Month of Feb’13 (S$)Month of Feb’13 (S$)Month of Feb’13 (S$) Visa Master AMEX Cheque Cash
3415.10 5302.2 344.3 1020 2340.50
Month of Mar’13 (S$)Month of Mar’13 (S$)Month of Mar’13 (S$)Month of Mar’13 (S$)Month of Mar’13 (S$) Visa Master AMEX Cheque Cash
2341.51 43231.2 34.30 1045 1050.5
Month of Apr’13 (S$)Month of Apr’13 (S$)Month of Apr’13 (S$)Month of Apr’13 (S$)Month of Apr’13 (S$) Visa Master AMEX Cheque Cash
2341.51 43231.2 34.30 1045 1050.5
• Currently converting all private rooms to dormitories• Expansion of room capacity to approx. 3 times of current level• Owner struggling to find the optimal daily rate to charge in
order to maximize profits
OPTIMAL Bed Pricing
Problem
•Goal: Find the room rate that will maximize profit margins
•Linear Programming Model•Subjected to constraints•Solver implementation
SolutionOPTIMAL Bed Pricing
Solution• Inputs–Daily room rate–Constraint values• bed capacity
• Parameters–Daily guest arrival rate (To be estimated & forecasted
based on previous hits in booking system)
(MODEL)OPTIMAL Bed Pricing
Solution (MODEL)• Intermediate Outputs–Total variable cost–Total fixed cost–Total revenue
• Outputs–Profit margins
OPTIMAL Bed Pricing
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DATA CollectionMonthly DEMAND
INVENTORY
Seasonal Room RATES
