ltc, jack r. widmeyer transportation research conference, 11/04/2011, ardavan asef-vaziri
TRANSCRIPT
Impact of Inland Ports on Southern California’s
Freight Transportation Network
Ardavan Asef-VaziriSystems and Operations Management
College of Business and Economics
Mansour RahimiIndustrial and Systems Engineering
University of Southern California
Robert HarrisonCenter of Transportation Research
University of Texas
Container Handling 2007: World Total 450 MTEUsRANK PORT (Country) Million TEUs
1 Singapore (Singapore) 27.9
2 Shanghai (China) 26.2
3 Hong Kong (China) 24
4 Shenzhen (China) 21.1
5 Los Angeles & Long Beach (US) 15.7
6 Yingkou/Liaonian (China) 13.7
7 Busan (South Korea) 13.3
8 Rotterdam (Netherlands) 10.8
9 Dubai Ports (UAE) 10.7
10 Kaohsiung (Taiwan) 10.3
11 Hamburg (Germany) 9.9
12 Qingdao (China) 9.4
13 Ningbo (China) 9.3
14 Guangzhou (China) 9.2
15 Antwerp (Belgium) 8.2
16 Port Kelang (Malaysia) 7.1
17 Tianjin (China) 7.1
18 Tanjung Pelepas (Malaysia) 5.5
19 New York / New Jersey (US) 5.3
20 Bremen (Germany) 4.9
Container Handling SPB Ports: US Total 23 MTEUs
0.0
2.0
4.0
6.0
8.0
10.0
12.0
14.0
16.0
1990 1995 2000 2005
Million TEUs LA Million TEUs LB Million TEUs Total
Strategic Positioning, Essence of Process Flow,
Operational Performance Measures
Process competencies
Customer Value Proposition Customer satisfactionCustomer
expectations
Financial performance
•Flow time reduction is the most
important dimension in the
customer value proposition.
•Straightforward capacity
increases such as more
highways and larger ports, do
not work anymore.
US-China Alternative Routes
Narvik, Norway
Vostochny, Russia
Hong Kong, China
Singapore
Rotterdam, Netherlands
Savannah
NorfolkNew York
Prince Rupert, Canada
Savannah
NorfolkNew York
Los Angeles
Colima, Mexico
Ensenada, Mexico
Four Characteristics of Forecasts
Forecasts are usually (always) inaccurate (wrong).
Forecasts should be accompanied by a measure of
forecast error.
Aggregate forecasts are more accurate than individual
forecasts. Aggregate forecasts reduce the amount of
variability – relative to the aggregate mean demand. StdDev
of sum of two variables is less than sum of StdDev of the two
variables.
Long-range forecasts are less accurate than short-range
forecasts. Forecasts further into the future tends to be less
accurate than those of more imminent events. As time
passes, we get better information, and make better.
prediction.
Strategic Positioning and Smooth Flow
3-4 days
14 days
2-3 days
22 days
31 days
Container Movement in Southern California
Current Practice
220K daily truck VMTs
Inland Port Concept
120K daily truck VMTs
Clean air locomotive/maglev/etc.
Zero-emission vehicles
Inland Port’s Primary Functions
Modal Change
Truck to Train
Unsorted
Containers
on Train
Decreased
Truck VMT
I710, I110
Mobility
Safety
Sustainability
Increased
Port Capacity
Current DS Route
Secondary DS Route
Current Single Stack Route
•Next Day Service to Columbus
•Reduce Transit to Chicago by 1 Day
•Will Shave Approx. 225 Route Miles Off Each Container Move to Chicago
•Greater Efficiencies
•High Speed Double Stack
Heartland Corridor Route
Port-Heartland High
Speed Doublestack
Corridor
DC/PCs Locations in Southern California
Single Facility Location Model
||||00
i
m
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ii
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i YywXxwZ
Minimize:
Six Inland Port
Location-Allocation Model
niji
n
j
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i
ij GPOdwrZ ),(1 1
mjmirn
j
ij ,.....,2,1,,.....,1,011
mjCtr j
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Minimize:
Subject to:
DC/PCs Allocated to Each Inland Port
Impact of Inland Ports on Daily VMT
0
50000
100000
150000
200000
250000
0 1 2 3 4 5 6
Inland Ports in Operations
Dail
y V
MT
VenturaN. of PortE. of LA
Orange
Mira Loma
Commerce
A Decision Support Tool
ASRS/AGVS Technology at Inland Port