Bali Hospitality Professional
Service
Drs. Agustinus Agus Purwanto, MM
Senior Consultant
Jl. Tukad Batanghari VIII/7A
Denpasar – Bali – Indonesia
E-mail:
agustinus.aguspurwanto@ehotelier.com
Web:
www.linkedin.com/in/aguspurwanto
Chapter 8Chapter 8
The Functions ofThe Functions of
ManagementManagement
POSDCORBPOSDCORB
P Planning
O Organizing
S Staffing
D Directing
CO Coordinating
R Reporting
B Budgeting
Front Office BudgetingFront Office Budgeting
The most important long-term planning
function
FOM is responsible for:
1. Forecasting Rooms Revenue
 Use historical trend data
2. Estimating Expenses
 Vary directly with rooms revenue
Forecasting RoomsForecasting Rooms
RevenueRevenue
Forecasted Annual Rooms Revenue =
Rooms Occupancy Average
Available Percentage Daily Rate
Rooms Available = Total Rooms X 365 Days
Forecasting Rooms RevenueForecasting Rooms Revenue
ExampleExample
100 Room Hotel
100 x 365 days = 36,500 Rooms
Available
75% Occupancy Percentage
.75
$50 Average Daily Rate
36,500 x .75 x $50 = $1,368,750
Room ForecastingRoom Forecasting
Ten-Day Forecast
 Done by FOM and Reservations
Manager
House Count
 Expected number of guests in the
hotel
 Divided into group and non-group
Three-Day Forecast
Forecasting RoomForecasting Room
AvailabilityAvailability
The most important short-term planning
function
Hotel Occupancy History
 The past few months and last year at this time
Reservation Trends
 How far in advance are reservations being
made?
Scheduled Events
 City-wide conventions; sporting events, etc.
Forecasting DataForecasting Data
No-shows
 Expected guests who did not arrive.
Walk-ins
 Guests without reservations.
Overstays
 Guests who stay beyond their departure
date.
Understays
Percentage Of No-Percentage Of No-
showsshows
Number of Room No-Shows
Number of Room Reservations
Purpose:
 Helps front office managers
decide when (and if) to sell rooms
to walk-in.
Percentage Of Walk-Percentage Of Walk-
insins
Number of Room Walk-Ins
Total Number of Room Arrivals
Purpose:
 Helps front office managers
know how many walk-ins to
expect.
Percentage OfPercentage Of
OverstaysOverstays
Number of Overstay Rooms
Number of Expected Check-
Outs
Purpose:
 Alerts front office managers to
potential problems when rooms have
been reserved for arriving guests.
Percentage OfPercentage Of
UnderstaysUnderstays
Number of Understay Rooms
Number of Expected Check-Outs
Purpose:
 Alerts front office manager to
additional room availability.
 20% of hotels charge understay
Rooms Availability FormulaRooms Availability Formula
Total number of guestrooms
- Out of order rooms
- Stayovers
- Reservations
+ Reservations x no-show percentage
+ Understays
- Overstays
Number of Rooms Available for Sale
Rooms AvailabilityRooms Availability
Formula ExampleFormula Example
150 Guestrooms
- 5 Out of Order
- 45 Stayovers
- 50 Reservations
+ 10% No-show
+ 5 Understays
- 20 Overstays
40 Rooms Available for
Sale
Establishing RoomEstablishing Room
RatesRates
Marketing Positioning Statement
 Room rates reflect service expectations to
the hotel’s target markets.
1. Market Condition Approach
2. Rule-of-thumb Approach
3. Hubbart Formula Approach
1. Market Condition1. Market Condition
ApproachApproach
 Common sense approach.
 Often used, but has many problems.
 Base room rates on your competitions’
rates.
 Doesn’t take into account new properties
and construction costs.
 Allows the local market to determine the
2. Rule-of-thumb Approach2. Rule-of-thumb Approach
 Sets the minimum average room rate
at $1 for each $1,000 of construction
& furnishing costs per room.
 Assumes 70 % occupancy
 $125,000 in construction and
furnishings
- $125 room rate
 Doesn’t take inflation into account
2. Rule-of-thumb Approach2. Rule-of-thumb Approach
Average per-room cost for hotel development:
Segment Per-room cost
 Budget/Economy $52,800
 Midscale w/o $85,600
 Midscale with F&B $103,100
 Full Service $165,900
 Luxury/Resorts $516,300
3. Hubbart Formula3. Hubbart Formula
ApproachApproach
“Bottom-up”approach
 Begin with desired profit based upon expected
Return on Investment (ROI)
 Calculate pretax profits, fixed charge,
management fees, & operating expenses
 Estimate other departmental income
 Determine the required rooms department
income
3. Hubbart Formula3. Hubbart Formula
ApproachApproach
Average Room Rate =
Rooms Department Revenue
Expected Number of Rooms Sold
 Sets a “Target” Average Price
 Lets you determine if your target is too high
 You may have to finance the difference
EvaluatingEvaluating
Front Office OperationsFront Office Operations
Occupancy Percentage
 The most commonly used operating
ratio
Average Daily Rate (ADR)
 Average of all room types and rates
Revenue per Available Room (RevPAR)
 Measures revenue capabilities of hotel
Occupancy PercentageOccupancy Percentage
Number of Rooms Occupied
Number of Rooms Available
What does rooms occupied include?
 Rooms sold + comp rooms
What does rooms available include?
 Use the rooms availability formula
2001= 59.20%
Occupancy PercentageOccupancy Percentage
ExampleExample
Number of Rooms Occupied
Number of Rooms Available
 Sold 95 rooms with 5 comps
 150 room hotel with 25 out of order
95 + 5 = 100 =
150 - 25 = 125
80%
Daily Occupancy RatesDaily Occupancy Rates
47.8
62.4
67.7 68.3 65.3 66.5 70.1
0
10
20
30
40
50
60
70
Sun Mon Tues Weds Thurs Fri Sat
Average Daily Rate (ADR)Average Daily Rate (ADR)
Rooms Revenue
Number of Rooms Sold
 Number of Rooms Sold includes
comps
Average Daily Rate ExampleAverage Daily Rate Example
Rooms Revenue
Number of Rooms Sold
 $10,000 Rooms Revenue
 Sold 95 rooms with 5 comps
$10,000 $10,000 =
95 + 5 = 100
$100
Revenue per Available RoomRevenue per Available Room
(RevPAR)(RevPAR)
Actual Rooms Revenue
Number of Available Rooms
or:
Occupancy Percentage x ADR
2001 = $49.36
RevPar ExampleRevPar Example
Actual Rooms Revenue
Number of Available Rooms
 $10,000 Rooms Revenue
 150 room hotel with 25 out of order
$10,000 $10,000 =
150 - 25 125
$80
Revenue per Available RoomRevenue per Available Room
ExampleExample
Occupancy Percentage x ADR
80% x $100 = $80
RevPAR Limitations:
* Does not include Revenue & Costs from F&B and other
outlets
 Is RevPAR higher or lower than ADR ?
 When will they be equal?
RevPAR IndexRevPAR Index
Hotel RevPAR
Competitive Set RevPAR
 You decide what hotel’s make up your
competitive set of hotels that you compare
yourself too.
 Get your Comp Set RevPAR figures from the
RevPAR Index - ExampleRevPAR Index - Example
Hotel RevPAR
Competitive Set RevPAR
 Your Hotel’s RevPAR is $58; Comp Set is $60
 $58/$60 = .966 x 100% = 96.6%
Below 100% = Under Performing Hotel
100% = Fair Share
Above 100% = Over Performing Hotel
RevPAR IndexRevPAR Index
Missed Revenue ExampleMissed Revenue Example
 If your Hotel’s RevPAR is $58 and your Comp
Set’s is $60, you are losing $2 per room in
potential revenue
 Calculate your potential lost revenue per month
RevPAR Difference x Number of Rooms x Days in
Month
Ex.
RevPAR IndexRevPAR Index
 You need to select a realistic Comp Set of
hotels
 Comparing a luxury hotel to economy hotels
inflates your RevPAR Index but doesn’t help
your revenues
 A consistent increase in RevPAR Index is your
goal

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14100252 Front Office Management Function

  • 1. Bali Hospitality Professional Service Drs. Agustinus Agus Purwanto, MM Senior Consultant Jl. Tukad Batanghari VIII/7A Denpasar – Bali – Indonesia E-mail: agustinus.aguspurwanto@ehotelier.com Web: www.linkedin.com/in/aguspurwanto
  • 2. Chapter 8Chapter 8 The Functions ofThe Functions of ManagementManagement
  • 3. POSDCORBPOSDCORB P Planning O Organizing S Staffing D Directing CO Coordinating R Reporting B Budgeting
  • 4. Front Office BudgetingFront Office Budgeting The most important long-term planning function FOM is responsible for: 1. Forecasting Rooms Revenue  Use historical trend data 2. Estimating Expenses  Vary directly with rooms revenue
  • 5. Forecasting RoomsForecasting Rooms RevenueRevenue Forecasted Annual Rooms Revenue = Rooms Occupancy Average Available Percentage Daily Rate Rooms Available = Total Rooms X 365 Days
  • 6. Forecasting Rooms RevenueForecasting Rooms Revenue ExampleExample 100 Room Hotel 100 x 365 days = 36,500 Rooms Available 75% Occupancy Percentage .75 $50 Average Daily Rate 36,500 x .75 x $50 = $1,368,750
  • 7. Room ForecastingRoom Forecasting Ten-Day Forecast  Done by FOM and Reservations Manager House Count  Expected number of guests in the hotel  Divided into group and non-group Three-Day Forecast
  • 8. Forecasting RoomForecasting Room AvailabilityAvailability The most important short-term planning function Hotel Occupancy History  The past few months and last year at this time Reservation Trends  How far in advance are reservations being made? Scheduled Events  City-wide conventions; sporting events, etc.
  • 9. Forecasting DataForecasting Data No-shows  Expected guests who did not arrive. Walk-ins  Guests without reservations. Overstays  Guests who stay beyond their departure date. Understays
  • 10. Percentage Of No-Percentage Of No- showsshows Number of Room No-Shows Number of Room Reservations Purpose:  Helps front office managers decide when (and if) to sell rooms to walk-in.
  • 11. Percentage Of Walk-Percentage Of Walk- insins Number of Room Walk-Ins Total Number of Room Arrivals Purpose:  Helps front office managers know how many walk-ins to expect.
  • 12. Percentage OfPercentage Of OverstaysOverstays Number of Overstay Rooms Number of Expected Check- Outs Purpose:  Alerts front office managers to potential problems when rooms have been reserved for arriving guests.
  • 13. Percentage OfPercentage Of UnderstaysUnderstays Number of Understay Rooms Number of Expected Check-Outs Purpose:  Alerts front office manager to additional room availability.  20% of hotels charge understay
  • 14. Rooms Availability FormulaRooms Availability Formula Total number of guestrooms - Out of order rooms - Stayovers - Reservations + Reservations x no-show percentage + Understays - Overstays Number of Rooms Available for Sale
  • 15. Rooms AvailabilityRooms Availability Formula ExampleFormula Example 150 Guestrooms - 5 Out of Order - 45 Stayovers - 50 Reservations + 10% No-show + 5 Understays - 20 Overstays 40 Rooms Available for Sale
  • 16. Establishing RoomEstablishing Room RatesRates Marketing Positioning Statement  Room rates reflect service expectations to the hotel’s target markets. 1. Market Condition Approach 2. Rule-of-thumb Approach 3. Hubbart Formula Approach
  • 17. 1. Market Condition1. Market Condition ApproachApproach  Common sense approach.  Often used, but has many problems.  Base room rates on your competitions’ rates.  Doesn’t take into account new properties and construction costs.  Allows the local market to determine the
  • 18. 2. Rule-of-thumb Approach2. Rule-of-thumb Approach  Sets the minimum average room rate at $1 for each $1,000 of construction & furnishing costs per room.  Assumes 70 % occupancy  $125,000 in construction and furnishings - $125 room rate  Doesn’t take inflation into account
  • 19. 2. Rule-of-thumb Approach2. Rule-of-thumb Approach Average per-room cost for hotel development: Segment Per-room cost  Budget/Economy $52,800  Midscale w/o $85,600  Midscale with F&B $103,100  Full Service $165,900  Luxury/Resorts $516,300
  • 20. 3. Hubbart Formula3. Hubbart Formula ApproachApproach “Bottom-up”approach  Begin with desired profit based upon expected Return on Investment (ROI)  Calculate pretax profits, fixed charge, management fees, & operating expenses  Estimate other departmental income  Determine the required rooms department income
  • 21. 3. Hubbart Formula3. Hubbart Formula ApproachApproach Average Room Rate = Rooms Department Revenue Expected Number of Rooms Sold  Sets a “Target” Average Price  Lets you determine if your target is too high  You may have to finance the difference
  • 22. EvaluatingEvaluating Front Office OperationsFront Office Operations Occupancy Percentage  The most commonly used operating ratio Average Daily Rate (ADR)  Average of all room types and rates Revenue per Available Room (RevPAR)  Measures revenue capabilities of hotel
  • 23. Occupancy PercentageOccupancy Percentage Number of Rooms Occupied Number of Rooms Available What does rooms occupied include?  Rooms sold + comp rooms What does rooms available include?  Use the rooms availability formula 2001= 59.20%
  • 24. Occupancy PercentageOccupancy Percentage ExampleExample Number of Rooms Occupied Number of Rooms Available  Sold 95 rooms with 5 comps  150 room hotel with 25 out of order 95 + 5 = 100 = 150 - 25 = 125 80%
  • 25. Daily Occupancy RatesDaily Occupancy Rates 47.8 62.4 67.7 68.3 65.3 66.5 70.1 0 10 20 30 40 50 60 70 Sun Mon Tues Weds Thurs Fri Sat
  • 26. Average Daily Rate (ADR)Average Daily Rate (ADR) Rooms Revenue Number of Rooms Sold  Number of Rooms Sold includes comps
  • 27. Average Daily Rate ExampleAverage Daily Rate Example Rooms Revenue Number of Rooms Sold  $10,000 Rooms Revenue  Sold 95 rooms with 5 comps $10,000 $10,000 = 95 + 5 = 100 $100
  • 28. Revenue per Available RoomRevenue per Available Room (RevPAR)(RevPAR) Actual Rooms Revenue Number of Available Rooms or: Occupancy Percentage x ADR 2001 = $49.36
  • 29. RevPar ExampleRevPar Example Actual Rooms Revenue Number of Available Rooms  $10,000 Rooms Revenue  150 room hotel with 25 out of order $10,000 $10,000 = 150 - 25 125 $80
  • 30. Revenue per Available RoomRevenue per Available Room ExampleExample Occupancy Percentage x ADR 80% x $100 = $80 RevPAR Limitations: * Does not include Revenue & Costs from F&B and other outlets  Is RevPAR higher or lower than ADR ?  When will they be equal?
  • 31. RevPAR IndexRevPAR Index Hotel RevPAR Competitive Set RevPAR  You decide what hotel’s make up your competitive set of hotels that you compare yourself too.  Get your Comp Set RevPAR figures from the
  • 32. RevPAR Index - ExampleRevPAR Index - Example Hotel RevPAR Competitive Set RevPAR  Your Hotel’s RevPAR is $58; Comp Set is $60  $58/$60 = .966 x 100% = 96.6% Below 100% = Under Performing Hotel 100% = Fair Share Above 100% = Over Performing Hotel
  • 33. RevPAR IndexRevPAR Index Missed Revenue ExampleMissed Revenue Example  If your Hotel’s RevPAR is $58 and your Comp Set’s is $60, you are losing $2 per room in potential revenue  Calculate your potential lost revenue per month RevPAR Difference x Number of Rooms x Days in Month Ex.
  • 34. RevPAR IndexRevPAR Index  You need to select a realistic Comp Set of hotels  Comparing a luxury hotel to economy hotels inflates your RevPAR Index but doesn’t help your revenues  A consistent increase in RevPAR Index is your goal