Modes and Networks Transportation Logistics Spring 2008.
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Transcript of Modes and Networks Transportation Logistics Spring 2008.
Modes and Networks Transportation Logistics
Spring 2008
Distribution systems
• One to one
• One to many
• Many to one
• Many to many
1-1 Distribution Examples
• Port to rail head drayage
• Small in scale and/or scope
• Decisions: – Shipment frequency– Route (this is typically a function of the
network and travel times)– Shipment times
1-1 Distribution
• Constant demand
• Trade-off inventory and transportation cost:
z=minv{(ch/D’)v+cf/v}, s.t. v<vmax
• cf: fixed transportation cost
• ch: holding cost
• v*=sqrt{cfD’/ch}
EOQ (economic order quantity)
• z=minv{Av+B/v+C}• v*=sqrt{B/A}• z*=2sqrt{AB}• If v*>vmax use v=vmax
• v* makes both of the terms in the objective function equal (motion cost = holding cost)
• Why should these be equal?
Lot Size problem with Variable Demand
• D(t) gives cumulative number of items demanded between 0 and t
• D’(t) is variable demand rate• Seek the set of times when shipments are to be
received and the shipment sizes that will minimize sum of motion plus holding costs over some time period
• With an infinite time horizon and constant demand this is the EOQ problem just discussed
When holding cost close to rent
• Variable demand• Inventory cost negligible (big, cheap items)• Increases with maximum inventory accumulation• Recall motion cost independent of shipment
sizes and times (only dependent on total amount moved or average)
• Thus we want to choose times and sizes to minimize holding cost
• v*= D(tmax)/n, all equal minimizes cost• cost/time=crD(tmax)/n+cfn/tmax, find n by
minimizing
When rent is negligible
• Small, expensive items
• Simple expression cannot be obtained unless D(t) varies slowly with t (CA method)
• Use numerical solution (e.g. dynamic programming)
One to Many Distribution
• Movement of containers from the port to landside destinations
• Delivery systems
• Decisions:– Network structure– Fleet size (VRP and TSP)– Shipment frequency– Use of an intermediate facility (minimizing logistics
cost)
Many to one distribution
• Export containers being delivered to a marine port
• Collection systems• The same analytical methods can be used as
with one to many distribution
• Decisions:– Network structure– Fleet size– Shipment frequency– Use of an intermediate facility
Many to Many Distribution
• Global distribution of marine containers
• Collection and distribution systems
• Decisions:– Network structure– Coordination of inbound
and outbound shipments
Many to many distribution
• The problem can often, and should often, be broken down into pieces – Inbound logistics (many to one)– Outbound logistics (one to many)– Be mindful of who is responsible for cost
within the supply chain– Most supply chains are not operated by the
same entity– Use terminals to consolidate some of the flow
Transportation Modes
• Rail• Air• Road• Pipeline• Water
• Package Carrier• Multi-modal
Relative Mode Volumes
Copyright © 1998-2007, Dr. Jean-Paul Rodrigue, Dept. of Economics & Geography, Hofstra University. For personal or classroom use ONLY. This material (including graphics) is not public domain and cannot be published, in whole or in part, in ANY form (printed or electronic) and on any media without consent. This includes conference presentations. Permission MUST be requested prior to use.
Load of the Global Transport System by Mode
Tons Tons-km Revenue (2004)
Road ? 6,000 to 8,500 billion tons-km
$796 billion
Rail 8,930 million tons 7,773 billion tons-km $330 billion
Maritime 6,758 million tons (loaded)6,787 million tons (unloaded)
44,474 billion tons-km
$484 billion
Copyright © 1998-2007, Dr. Jean-Paul Rodrigue, Dept. of Economics & Geography, Hofstra University. For personal or classroom use ONLY. This material (including graphics) is not public domain and cannot be published, in whole or in part, in ANY form (printed or electronic) and on any media without consent. This includes conference presentations. Permission MUST be requested prior to use.
Barge
Hopper car
100 car train unit
Semi-trailer truck
1500 Tons52,500 Bushels453,600 Gallons
100 Tons3,500 Bushels30,240 Gallons
10,000 Tons350,000 Bushels3,024,000 Gallons
26 Tons; 910 Bushels7,865 Gallons9,000 for a tanker truck
124 tons
CapacityCapacity
5
57.7(865.4 for 15 barges in tow)
Truck EquivalencyTruck EquivalencyVehicleVehicle
3.8
384.6
1
Post-panamax containership5,000 TEU 2,116
9,330VLCC
300,000 tons2 million barrels of oil
747-400F
Copyright © 1998-2007, Dr. Jean-Paul Rodrigue, Dept. of Economics & Geography, Hofstra University. For personal or classroom use ONLY. This material (including graphics) is not public domain and cannot be published, in whole or in part, in ANY form (printed or electronic) and on any media without consent. This includes conference presentations. Permission MUST be requested prior to use.
Comparison of the Relative Efficiencies of Rail and Trucking in the United States
Mode Fuel Consumption
Infrastructure Capacity
Costs Safety
Railroad 455 ton-miles per gallon
216 million tons per mainline per year
2.7 cents per ton-mile
0.61 fatalities per billion ton-miles; 12.4 incidents per billion ton-miles
Trucking 105 ton-miles per gallon
37.8 million tons per lane per year
5.0 cents per ton-mile
1.45 fatalities per billion ton-miles; 36.4 incidents per billion ton-miles
Rail
• high fixed costs (land, tracks)
• low variable costs (operating costs, e.g., labor, fuel)
• slow, but inexpensive way to transport heavy freight that doesn’t require special handling, long distances
•two choices in the PNW
•historically not a market driven industry
Copyright © 1998-2007, Dr. Jean-Paul Rodrigue, Dept. of Economics & Geography, Hofstra University. For personal or classroom use ONLY. This material (including graphics) is not public domain and cannot be published, in whole or in part, in ANY form (printed or electronic) and on any media without consent. This includes conference presentations. Permission MUST be requested prior to use.
Geographical Settings of Rail Lines
Penetration LinesPenetration Lines Local / Regional NetworksLocal / Regional NetworksTranscontinental LinesTranscontinental Lines
Nation A
Nation B
Type Function Examples
Short distance (within a gateway / hub)
Modal shift, improved capacity and throughput.
Switch carrying, Alameda, “Agile Port”, Panama
Hinterland access (between a gateway and its vicinity)
Expand market area, reduce distribution costs & congestion
Rail shuttles, PIDN, Virginia Inland port
Landbridge (between gateways)
Long distance container flows, continuity of global commodity chains
North American landbridge
Circum-hemispheric (between gateways with a maritime segment)
Integrated global transport chains
Northern East-West Corridor
Ownership of Major North American Rail Lines, 2005
Copyright © 1998-2007, Dr. Jean-Paul Rodrigue, Dept. of Economics & Geography, Hofstra University. For personal or classroom use ONLY. This material (including graphics) is not public domain and cannot be published, in whole or in part, in ANY form (printed or electronic) and on any media without consent. This includes conference presentations. Permission MUST be requested prior to use.
Copyright © 1998-2007, Dr. Jean-Paul Rodrigue, Dept. of Economics & Geography, Hofstra University. For personal or classroom use ONLY. This material (including graphics) is not public domain and cannot be published, in whole or in part, in ANY form (printed or electronic) and on any media without consent. This includes conference presentations. Permission MUST be requested prior to use.
Capital Expenditures as % of Revenue
0 2 4 6 8 10 12 14 16 18 20
Food
Transportation equipment
Petroleum and coal products
Wood products
Fabricated metal products
Average (manufacturing)
Chemicals
Paper
Non-metallic minerals
Electric utilities
Class I Rail
Copyright © 1998-2007, Dr. Jean-Paul Rodrigue, Dept. of Economics & Geography, Hofstra University. For personal or classroom use ONLY. This material (including graphics) is not public domain and cannot be published, in whole or in part, in ANY form (printed or electronic) and on any media without consent. This includes conference presentations. Permission MUST be requested prior to use.
Class I Ton-Miles per Route-Mile
0
2
4
6
8
10
12
14
16
18
20
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005
Mill
ions
Highway
• low fixed costs (government builds, maintains highways)
• medium-high variable costs (operating costs, e.g., labor, fuel)
• most accessible mode (more highways than railroads, waterways, pipelines); best for transporting medium to high value products short to moderate distances
Highway
• LTL – less than truckload
• TL – truckload
• Specialty
•Often the only choice for segments of a trip
•Competitiveness depends on pricing (managing loads and schedules)
Copyright © 1998-2007, Dr. Jean-Paul Rodrigue, Dept. of Economics & Geography, Hofstra University. For personal or classroom use ONLY. This material (including graphics) is not public domain and cannot be published, in whole or in part, in ANY form (printed or electronic) and on any media without consent. This includes conference presentations. Permission MUST be requested prior to use.
Length of the Interstate Highway System, 1959-2006 (in miles)
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
45,000
50,000
1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005
Copyright © 1998-2007, Dr. Jean-Paul Rodrigue, Dept. of Economics & Geography, Hofstra University. For personal or classroom use ONLY. This material (including graphics) is not public domain and cannot be published, in whole or in part, in ANY form (printed or electronic) and on any media without consent. This includes conference presentations. Permission MUST be requested prior to use.
Cost Structure of Trucking, United States, 2006
26.6%
22.4%
3.4%5.7%
29.1%
3.8%
9.0%
Wages & Benefits
Fuel & Maintenance
Insurance
Depreciation
Rent & Purchase
Other
Profit
Water
• moderate fixed costs (ships and freight handling equipment)
• low variable costs (operating costs, e.g., labor, fuel)
• very slow, but inexpensive way to transport large, heavy freight over long distances (e.g., oceans, rivers, inland waterways, lakes)
• late deregulation
•Intermodal productivity important
Copyright © 1998-2007, Dr. Jean-Paul Rodrigue, Dept. of Economics & Geography, Hofstra University. For personal or classroom use ONLY. This material (including graphics) is not public domain and cannot be published, in whole or in part, in ANY form (printed or electronic) and on any media without consent. This includes conference presentations. Permission MUST be requested prior to use.
Domains of Maritime Circulation
Nile
East / Southeast Asia
Mississippi / Great Lakes / St. Lawrence
Amazon
Rhine / Danube
SuezHormuz
Panama
Malacca
Bosporus
Magellan
Good Hope
Gibraltar
Bab el-Mandab
Copyright © 1998-2007, Dr. Jean-Paul Rodrigue, Dept. of Economics & Geography, Hofstra University. For personal or classroom use ONLY. This material (including graphics) is not public domain and cannot be published, in whole or in part, in ANY form (printed or electronic) and on any media without consent. This includes conference presentations. Permission MUST be requested prior to use.
Types of Maritime Routes
Port-to-Port Pendulum Round-the-World
Copyright © 1998-2007, Dr. Jean-Paul Rodrigue, Dept. of Economics & Geography, Hofstra University. For personal or classroom use ONLY. This material (including graphics) is not public domain and cannot be published, in whole or in part, in ANY form (printed or electronic) and on any media without consent. This includes conference presentations. Permission MUST be requested prior to use.
Pendulum Services and Cabotage
A
B
C
D
E
F
Cabotage
Country 1
Country 2
Pendulum Service
Copyright © 1998-2007, Dr. Jean-Paul Rodrigue, Dept. of Economics & Geography, Hofstra University. For personal or classroom use ONLY. This material (including graphics) is not public domain and cannot be published, in whole or in part, in ANY form (printed or electronic) and on any media without consent. This includes conference presentations. Permission MUST be requested prior to use.
Length of the Major Inland Waterway Systems, 2000
0 20,000 40,000 60,000 80,000 100,000
120,000
140,000
Russia
China
United States
Western EuropeLess than 2.75 m
More than 2.75 m
Copyright © 1998-2007, Dr. Jean-Paul Rodrigue, Dept. of Economics & Geography, Hofstra University. For personal or classroom use ONLY. This material (including graphics) is not public domain and cannot be published, in whole or in part, in ANY form (printed or electronic) and on any media without consent. This includes conference presentations. Permission MUST be requested prior to use.
Ton-miles Shipped by Maritime Transportation, 1970-2005 (in billions)
0 5,000 10,000 15,000 20,000 25,000 30,000 35,000
1970
1980
1985
1990
1995
2000
2005
Oil
Iron Ore
Coal
Grain
Containers and other
Copyright © 1998-2007, Dr. Jean-Paul Rodrigue, Dept. of Economics & Geography, Hofstra University. For personal or classroom use ONLY. This material (including graphics) is not public domain and cannot be published, in whole or in part, in ANY form (printed or electronic) and on any media without consent. This includes conference presentations. Permission MUST be requested prior to use.
Registered World Fleet, 1914-2000
0
100,000
200,000
300,000
400,000
500,000
600,000
700,000
800,000
900,000
1,000,000
1910 1920 1930 1940 1950 1960 1970 1980 1990 2000
0
1
2
3
4
5
6
7
Ave
rag
e T
on
nag
e (in
1,0
00 to
ns)
Number of ships
Total gross tonnage (1,000s)
Average tonnage
Copyright © 1998-2007, Dr. Jean-Paul Rodrigue, Dept. of Economics & Geography, Hofstra University. For personal or classroom use ONLY. This material (including graphics) is not public domain and cannot be published, in whole or in part, in ANY form (printed or electronic) and on any media without consent. This includes conference presentations. Permission MUST be requested prior to use.
Operating Costs of Panamax and Post-panamax Containerships (in USD)
$0
$2
$4
$6
$8
$10
$12
$14
$16
Panamax (4,000TEU)
Post-Panamax(6,000 TEU)
Post-PanamaxPlus (10,000
TEU)
Mill
ions
Port chargesFuelAdministrationStores and lubesInsuranceRepair and maintenanceManning
Air
• low fixed costs (aircraft and freight handling equipment)
• highest variable costs (e.g., labor, fuel, maintenance)
• very fast; used for transporting high value and/or high perishability product over short to medium distances.
• competitiveness depends on operational skill
Pipeline
• highest fixed costs (right of way & construction costs of equipment)
• lowest variable costs (no significant labor or fuel costs)
• slow, but dependable (e.g., no weather, traffic disruptions); no flexibility with regard to types of products that can be transported – must be liquid (e.g., petroleum)
• single origin
• stable, large flows
Copyright © 1998-2007, Dr. Jean-Paul Rodrigue, Dept. of Economics & Geography, Hofstra University. For personal or classroom use ONLY. This material (including graphics) is not public domain and cannot be published, in whole or in part, in ANY form (printed or electronic) and on any media without consent. This includes conference presentations. Permission MUST be requested prior to use.
Oil and Gas Pipelines Mileage in the United States, 1960-2004
0
200,000
400,000
600,000
800,000
1,000,000
1,200,000
1,400,000
1,600,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005
Oil pipeline
Gas pipeline
Multimodal Carrier
• Good intermodal connections• All modes• Emerged as package delivery, e-business now
3PL providers• Consolidation important• Many are service rather than cost oriented
– Have been leaders in developing IT solutions
• Deregulation