20
FNCE 645: Financial Modelling Skyline and Luge Ng Wen Ying | Sim Siang Huat Zou Yue | Zhong Shi Yao

Financial Modelling - Skyline and Luge queue time

Embed Size (px)

Citation preview

Page 1: Financial Modelling - Skyline and Luge queue time

FNCE 645: Financial Modelling

Skyline and LugeNg Wen Ying | Sim Siang Huat

Zou Yue | Zhong Shi Yao

Page 2: Financial Modelling - Skyline and Luge queue time

BackgroundWhat is the Skyline and Luge?

Page 3: Financial Modelling - Skyline and Luge queue time

IssueWhat issue are we modelling?

Skyride Top

Skyride Base

Dragon Trail

Jungle Trail

688m

628m

New Joiners

Re-joiners

Issue: Long queueing time1 Widen Track2 Create a third trail

Parameter:1 Peak Hour: 10.30am – 12.30pm2 Weekend

Page 4: Financial Modelling - Skyline and Luge queue time

Base CaseCurrent situation

MethodologyOption 1Trails widen

Option 2Additional Luge trail added

Flowchart

Page 5: Financial Modelling - Skyline and Luge queue time

Base CaseCurrent Situation

Page 6: Financial Modelling - Skyline and Luge queue time

Inflow: New JoinersSimulating the number of new joiners flowing into the system

Assumptions:- The inter-arrival time between visitors follows an

exponential distribution- The average inter-arrival time is 0.21mins- Ushers will let a batch of new joiners in every 1.5mins

Inter-arrival Time = – Average * LN (1-Rand())Formula:

Illustration:

Inter-arrival Time

Arrival Time Time Intervals # Time New Joiners

0 1 00.550853514 0.550853514 2 0.30.012227288 0.563080802 3 0.60.001761651 0.564842454 4 0.90.013120036 0.577962489 5 1.20.049912837 0.627875326 6 1.5 100.228993028 0.856868354 7 1.80.322342296 1.17921065 8 2.10.096762228 1.275972878 9 2.40.138550518 1.414523396 10 2.70.040588191 1.455111587 11 3.0 70.283460628 1.738572215 12 3.3

<1.5COUNTIF

Page 7: Financial Modelling - Skyline and Luge queue time

J is a longer trail so the luges arrive later than D

Inflow: RejoinersSimulating the number of rejoiners flowing into the system

Assumptions:- Riders’ decision to rejoin follows a Binomial distribution- The probability of rejoin is 0.6- Interval between each luge release is 1.8mins

Formula:

Illustration:

Rejoins from each trail = CRITBINOM (# riders finishing trails, 0.6, Rand())

# riders finishing J

Rejoin from J# riders

finishing DRejoin from D

1 0

3 0

5 4

5 3

1 0

5 2

1.8mins

1.8mins

Total Rejoin (t) = SUM (Rejoin frm J & D at t)

Page 8: Financial Modelling - Skyline and Luge queue time

Skyride: Queue Length Simulating the Queue Length for the Skyride

Formula:

Queue Length (t)

Queue Length (t - 1)

# Skyridersleaving (t – 1)= + -Total Inflow

(t)

New Joiners +

Rejoiners

Queue Time =

Queue Length (t)

Ave. # Skyriders

leaving with each chairlift

xFrequency of

chairlift: 0.3mins

Skyriders can choose to sit in

groups of 1, 2, 3 or 4 on the chairlift.

How to simulate??

Page 9: Financial Modelling - Skyline and Luge queue time

Skyride: Riders per ChairliftSimulating the number of skyriders on each chairlift

Assumptions:- 1 Chairlift leaves every 0.3mins- Maximum no. of riders on each chairlift – 4 pax- It is equal likely for riders to board in groups of 1,2,3 or 4- Chairlift takes 5.1mins to travel from base to peak

Formula:

If Queue Length < 4

RANDBETWEEN (1, Queue Length)

# Skyridersleaving (t ) =

If Queue Length > 4

RANDBETWEEN (1,4)

# Riders arriving at peak and choosing which

luge trail to take

5.1mins later…

How many riders would choose Jungle trail /

Dragon trail???

Page 10: Financial Modelling - Skyline and Luge queue time

Luge: Queues LengthSimulating the Queue Length for the Luge Trails

Assumptions:- Riders are equally likely to choose Jungle or Dragon trail- Every 0.3mins, one chairlift will carry a max of 4 to peak- Let “1” represent Jungle and “2” represent Dragon

Formula:

# Luge RidersChoice of

1st Rider

Choice of

2nd Rider

Choice of

3rd Rider

Choice of

4th RiderChoose J Choose D

X

Those arriving on the chairlift

Rider 1: IF(X>0, RANDBETWEEN(1,2),0)

Rider 2: IF(X>1, RANDBETWEEN(1,2),0)

Rider 3: IF(X>2, RANDBETWEEN(1,2),0)

Rider 4: IF(X>3, RANDBETWEEN(1,2),0)

J: Count if the choice is “1”

OR

D: Count if the choice is “2”

# Luge Riders

Arriving

Choice of 1st Rdier

Choice of 2nd Rdier

Choice of 3rd Rdier

Choice of 4th Rdier

Choose Jungle

Choose Dragon

0 0 0 0 0 0 04 1 2 1 1 3 12 2 2 0 0 0 22 1 1 0 0 2 0

Illustration:

Page 11: Financial Modelling - Skyline and Luge queue time

Formula:

Queue Length for

J (t)

Queue Length for J

(t - 1)

# riders released (t – 1)

= + -# Riders Chose J (t)

Luge: Queues Length (ctd’)Simulating the Queue Length for the Luge Trails

# Luge Riders

Arriving

Choice of 1st Rdier

Choice of 2nd Rdier

Choice of 3rd Rdier

Choice of 4th Rdier

Choose Jungle

Choose Dragon

0 0 0 0 0 0 04 1 2 1 1 3 12 2 2 0 0 0 22 1 1 0 0 2 0

Max 5 Riders will be released in batches

every 1.8mins, may be less than 5…

How to simulate??

Page 12: Financial Modelling - Skyline and Luge queue time

Outflow: Leave/RejoinSimulating the Queue Length for the Skyride

Same as Rejoiner at InflowCycle REPEATS

(for 2-hours worth of data)

# riders finishing J

Rejoin from J# riders

finishing DRejoin from D

1 0

3 0

5 4

5 3

1 0

5 2

1.8mins

1.8mins

Recall:

If there are less than 5 people in the queue, all the people will be released.

If there are more than 5 people, a max of 5 will be released

Assumptions:- A max of 5 riders will be released every 1.8mins

Page 13: Financial Modelling - Skyline and Luge queue time

Base Case ResultsWhat is the average queue time now?

Average Queue

Time41.5 mins

38.82 1 2 3 4 5 6 7 8 9 10

1 39.48 43.44 39.06 37.53 43.95 49.77 37.2 35.94 44.61 46.68

2 47.28 37.83 38.4 46.98 37.89 38.04 39.48 45.48 35.22 42.72

3 42 45.39 42 37.41 37.26 38.34 40.17 40.65 40.14 44.67

4 39.42 37.17 44.1 40.77 45.54 40.86 44.16 40.86 40.77 41.13

5 42.93 45.03 42.87 42.24 37.47 39.69 46.53 47.19 46.77 37.89

6 40.44 38.25 40.2 38.4 40.71 42.48 42.3 38.25 39.84 41.73

7 45.48 41.73 41.43 42.57 40.86 40.35 44.73 44.01 42.66 35.52

8 45.45 37.32 43.23 43.8 40.56 39 40.65 46.56 46.05 41.73

9 38.55 43.53 40.56 44.19 46.47 38.13 36.45 42.87 47.67 43.29

10 39.69 42.51 40.92 40.5 47.79 39.54 34.44 41.28 36.96 35.73

Total Queue Time

Skyride’sQueue Time= + MAX( Queue time for J, D)

Page 14: Financial Modelling - Skyline and Luge queue time

Option 1Enlarge the trails

Page 15: Financial Modelling - Skyline and Luge queue time

Option 1 ResultsWhat is the average queue time if we expand the trails?

If there are less than 6 people in the queue, all the people will be released.

Changed Assumption:- A max of 6 riders will be released every 1.8mins

If there are more than 6 people, a max of 6 will be released

1 2

Average

Queue Time28.4 mins

26.1 1 2 3 4 5 6 7 8 9 10

1 28.4 26.7 33.1 32.9 24.6 25.9 33.7 27.6 28.5 26.5

2 28 26.5 28.6 25.4 30.7 34.8 29 26.3 26.7 24.6

3 27.5 30.6 30.6 23.85 21.1 31.5 32.8 28.3 24.5 25.7

4 25.8 32.2 27.5 28.5 24.9 27.7 29.2 28.5 31.4 28.5

5 28.2 23.9 27 33.8 28.9 26 27.7 30.1 27.5 26.1

6 29.1 27.2 37.2 30.4 32.3 28.4 32.2 25.5 25.05 27.9

7 26.1 28.4 31.8 29 25 33.1 33.8 35.4 23.7 25.3

8 26.7 30.7 27.4 25.4 28.7 28.6 29 29.6 27.4 36.1

9 31.8 28.9 28.4 25.4 29.5 29 24 22.5 35.4 27

10 26 28.4 35.8 29.9 25.6 19.2 28.7 27.8 32 24.7

Page 16: Financial Modelling - Skyline and Luge queue time

Option 2Build an additional luge trail

Page 17: Financial Modelling - Skyline and Luge queue time

Option 2 ResultsWhat is the average queue time if we add one more trail?

Changed Assumption:

New Joiners

Rejoiners

Skyride Queue

Jungle Queue

Dragon Queue

Leaves

Rejoin

Leaves

Exponential Distribution

Uniformly Distributed 33%

40%

60%

60%

40%

# Riders / Chair

33%

Inflow Skyride Luge rides Outflow

Rainbow Queue33% 60%

Average Queue

Time17.9 mins

17.9 1 2 3 4 5 6 7 8 9 10

1 18.6 15.84 17.06 19.06 15.58 13.12 21.94 16.2 18.82 17.64

2 23.5 12.8 15.48 20.66 17.12 19.12 12.86 15.94 17.28 15.84

3 18.3 19.28 10.34 14.6 16.14 17.68 19.18 25.76 15.22 25.4

4 24.64 20.76 20 17.32 18.14 13.78 14.04 17.94 15.84 15.48

5 19.14 14.2 15.28 14.2 13.58 15.58 21.28 15.78 21.12 20.52

6 19.44 20.9 14.86 22.32 20.36 17.16 16.86 21.44 22.72 15.28

7 … … … … …. …. …. …. …. ….

Page 18: Financial Modelling - Skyline and Luge queue time

Overall ResultsSensitivity Analysis and Summary of all Results

10

12

14

16

18

20

1.2 2.2 3.2 4.2 5.2

Ave

. Qu

eue

Tim

e

Luge Time

Sensitivity AnalysisOption 2 – Sensitivity Analysis- Additional trail Long or Short?- Long trail = takes a longer time to travel

down to base “Luge Time”

- CONCLUSION: The length of the additional trail has little effect on the queue time

Scenario Average Queue Time (mins) % Improvement

Base Case 41.5 NA

Enlarged Trails 28.4 32%

Additional Trail – Shorter trail 17.9 57%

Additional Trail – Longer tail 18.5 55%

- Both options are effective in enhancing the queue time - An additional trail is more effective - A short or a long trail does not alter the results much- Considering that a longer trail would cost more to construct, our suggestion to the

management is to build an additional shorter trail to improve the queue time.

Conclusion:

Page 19: Financial Modelling - Skyline and Luge queue time

Excel DemonstrationNg Wen Ying | Sim Siang Huat

Zou Yue | Zhong Shi Yao

Page 20: Financial Modelling - Skyline and Luge queue time

New Joiners

Rejoiners

Skyride Queue

Jungle Queue

Dragon Queue

Leaves

Rejoin

Leaves

Exponential Distribution

Uniformly Distributed33%

40%

60%

60%

40%

# Riders / Chair

33%

Inflow Skyride Luge rides Outflow

Rainbow Queue33% 60%