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Sustainable logistics: how to reduce the transport carbon footprint
Professor Alan McKinnon
CEFIC Safe and Sustainable Chemical Transport and Logistics Conference
Antwerp
26th November 2014
Kühne Logistics University Hamburg
A private, independent, state- recognized university – founded in 2010
A university with expertise in logistics and management
2 MSc, a Bachelors, an executive MBA and a PhD program – 200 students
17 resident faculty plus contributions from a group of external professors
4
Alarming Arithmetic of Climate Change
Since 1850 roughly 2000 billion tonnes of CO2 emitted by Mankind
Aim : achieve 75% chance that rise in average temperature kept below 2o C by 2100
Need to limit future CO2 emissions to 700 billion tonnes for the rest of this century
Currently emitting around 36 billion tonnes of CO2 (steadily rising)
We are on a trajectory that will lead to 4-6o C of warming by 2100
Catastrophic in ecological and human terms
Sources: Berners-Lee and Clark, 2013,
Only able to burn 20% of the known reserves of coal, oil and gas
The Scale of the Climate Change Challenge
Source: Clark, 2013
Bn to
nnes o
f C
O2 p
er
annum
UN COP 21
Conference on
Climate Change
December 2015
Transport (passenger + freight):
2010: 7 Gtonnes of CO2
2050 (business as usual trend): 12 Gtonnes of CO2
2050 cap on CO2 emissions from all human activity 20 Gtonnes
5th Assessment Report of the IPCC
Developing a Carbon Management Strategy for Logistics
carbon commitment measuring and reporting
logistics CO2e footprint
EU COFRET project
Inventory of existing measurement schemes
www.cofret-project.eu
Inventory of Carbon Measurement and Reporting Initiatives freight transport / logistics / supply chain
Source: Marc Cottinge, ADEME
System Boundaries for Carbon Auditing of Freight Transport
Adapted from NTM
need a comprehensive SB1-5 assessment of the environmental benefits of modal shift
Developing a Carbon Management Strategy for Logistics
carbon commitment measuring and reporting
logistics CO2e footprint
set target for CO2e reductions
Examples of Carbon Reduction Targets Set by Major Logistics Providers
company
normaliser
time period % carbon
reduction
target
Deutsche Post / DHL ‘every letter and parcel delivered,
every tonne of cargo transported and
every sq.m. of warehouse space’
2007-2020 30%
DB-Schenker Tonne-km 2006-2020 At least 20%
UPS UPS Transportation Index 2010-2017 5%
UPS Airlines –Global Pounds of CO2 emitted for every ton of
capacity transported on nautical mile 2005-2020 20%
Fedex (aircraft) available ton mile (ATM) 2005-2020 20%
TNT (Mail and Express) not specified 2007-2020 45%
Maersk Line not specified 2007-2020 25%
NYK ‘unit of transportation from vessels’ 2006-2013 10%
40% improvement in CO2 efficiency of logistics 2010 – 2020
http://www.unilever.co.uk/sustainable-living/greenhousegases/
40% reduction in carbon intensity by 2020
Technology
Infrastructure
Market
Behaviour
Energy
Regulation
Modal split
Utilisation
Fuel efficiency
Energy mix
categories of external factor decarbonisation lever
TIMBER framework
for assessing the effect of external factors on the decarbonisation of logistics
Developing a Carbon Management Strategy for Logistics
carbon commitment measuring and reporting
logistics CO2e footprint
set target for CO2e reductions Identify decarbonisation measures
Inventory of Carbon-reduction Measures
1. Reduce number of links in the supply chain: 5. Reduce empty running:
Dis-intermediation – bypassing agencies / nodes in the supply chain Use load matching services (online freight exchanges / web-based procurement)
Greater vertical integration of processing – reduce intermediate journeys between processing plants Promote collaborative initiatives – both vertical and horizontal collaboration
Explore backloading opportunities during purchasing negotiations
2. Reduce the average length of haul: Incorporate the planning of backloading into vehicle routing and scheduling software
More localised sourcing of inbound supplies Use telematics to increase ‘visibility’ of the fleet and help exploit backloading opportunities
Decentralise processing, storage and distribution operations Consolidate return of handling equipment (roll-cages / dollies) in a fewer vehicles
Move production / storage / distribution facilities into more ‘transport efficient’ locations Maximise use of returning shop delivery vehicles for collection of packaging material
Swap arrangements - to minimise delivery distances Relax delivery schedules to accommodate more backloads
Improve vehicle routing (e.g. use CVRS) / recalibrate routing packages to minimise fuel consumption Improve the reliability of loading and off-loading operations to build confidence in backloading schedules
Use telematics (possibly in association with CVRS) to determine most fuel efficient route Increase the ratio of trailers to tractors (i.e. the ‘articulation ratio’) to create more flexibility for backloading
3. Promote transfer of freight to lower carbon modes 6. Reduce exposure to traffic congestion
Send greater % of freight by rail Reschedule deliveries to inter-peak periods and evening / night
Send greater % of freight by waterborne services Extend opening hours of premises for collections and deliveries
Relocate production facilities / warehousing to be adjacent to alternative transport network Introduce unattended delivery systems for out-of-hours delivery
Invest in rail siding and / or rolling stock
Apply for government freight facilities grants 7. Improve fuel efficiency
Develop / invest in equipment to facilitate intermodal transfers Development fuel management programme
Reschedule distribution operations to match timetables of the alternative mode Appoint fuel champion
Collect and analyse disaggregated fuel consumption data
4. Increase vehicle payloads on laden trips: Train drivers in the techniques of fuel efficient driving (eco-driving)
Relax just-in-time replenishment schedules to permit greater load consolidation Use telematics / onboard devices to monitor driving performance
Increase use of primary consolidation (at expense of adding an extra link to the supply chain) Regularly debrief drivers on fuel performance
Give hauliers / transport departments more advanced warning of traffic demands Give drivers financial and other incentives to drive more fuel efficiently
Promote collaborative initiatives – both vertical and horizontal collaboration Reduce the vehicle replacement cycle to accelerate adoption of more fuel efficient vehicles
Shift from dedicated contracts with 3PL to shared-user contracts / network services Prioritise fuel efficiency as a vehicle purchase criterion
Suppress the ‘bullwhip effect’ in supply chains Use vehicle with stop-start system
Adopt ‘vendor-managed inventory’ (VMI) arrangement with suppliers Use vehicle with turbocharging
Expand the use of ‘nominated day’ delivery systems Reduce vehicle tare weight
Replace the monthly ‘order – invoice’ cycle with a system of rolling credit Improve aerodynamic profiling of vehicles
Use more ‘space-efficient’ handling equipment Improve vehicle maintenance, wheel-alignment etc.
Minimise the amount of secondary and primary packaging Adopt vehicles with automatic transmission
Stack loads to greater height (within warehouse slot height constraints) Ensure effective tyre management / inflation of tyres to fuel efficient level
Reduce the height of rigid vehicles / trailers to match internal load Use supersingle tyres
Use longer and/or heavier vehicles when justified by load size / weight Use low ‘rolling-resistance’ tyres
Make greater use of double-deck vehicles / drawbar trailer combinations. Set vehicle speed limiters at lower speeds
Switch from powered- to fixed-double deck trailer Reduce engine idling
Use compartmentalised vehicles to increase load consolidation opportunities Match vehicle size and weight to the characteristics of the load
Increase storage capacity at delivery points – to permit delivery of larger loads Adopt more energy efficient forms of refrigeration
Use of online procurement platforms (‘freight exchanges’) to increase opportunities for load consolidation Reduce pre-loading time for refrigerated vehicles
Deploy load optimisation software (including agent-based systems) Power tanker pumps externally rather than from vehicle engine
Use telematics to improve management of the vehicle fleet
8. Reduce emissions per litre of fuel consumed:
Use hybrid vehicles
Use new electric vehicles
Use new biogas vehicle
Use new CNG vehicle
Use dual-fuel vehicle (biogas or LNG with conventional diesel)
Increase % blend with environmentally-sustainable biofuel
Recharge vehicle batteries with low carbon electricity
Use lower carbon energy in refrigeration equipment
Minimise refrigerant gas leakage from vehicles
Measures to Reduce Energy Consumption
1. Vehicle design and settings
1.1 Adopt vehicles with automatic (manual) transmission
1.2 Set vehicle speed limiters at lower speed
1.3 Install anti-idling device
1.4 Switch from powered to fixed-deck trailers (for double-decks)
1.5 Reduce vehicle tare weight
Aerodynamic profiling:
1.6 Install cab-roof fairing
1.7 Install body / trailer side panels
1.8 Use trailers with sloping front roof (double-deck / high-cube vehicles)
1.9 Use tear-drop trailer
1.10 Reduce height of vehicle
Tyres
1.11 More regular tyre inflation checks
1.12 Fit low rolling resistance tyres
1.13 Fit super singles
1.14 Automatic tyre pressure adjustment
2. Fuel type:
2.1 Use fuel additive
2.2 Use low-friction oil / lubricant
3. Driver training and monitoring
3.1 Give drivers training in fuel efficiency
3.2 Monitor and manage driver fuel performance (including telematics)
4. Delivery operations
4.1 Increase proportion of evening / night-time delivery
4.2 Use of telematics to optimise vehicle routing
4.3 Accelerate turnaround times at collection and delivery points
Measures to Reduce the Carbon Content of Energy Used
5. Use of alternative fuels / energy sources
5.1 Increase use of hybrid vehicles
5.2 Increase use of electric vehicles
5.3 Increase use of biodiesel
5.4 Increase use of biomethane / CNG
Measures to Reduce Distance Travelled by Road Vehicles
6. Improve vehicle loading
Increase vehicle carrying capacity
6.1 Make greater use of double-deck / high-cube vehicles
6.2 Make greater use of longer and / or heavier vehicles
6.3 Reduce vehicle tare weight
6.4 Switch from powered to fixed-deck trailers (for double-decks)
Make better use of available carrying capacity
6.5 Reduce empty running / increase backloading
6.6 Improve vehicle fill on laden trips (by weight and / or volume)
6.6 Use more space-efficient handling equipment
6.7 Rationalise the return of empty handling equipment
7. Improve vehicle routing
7.1 Introduce computerised vehicle routing and scheduling
7.2 Zone deliveries on a ‘nominated day’ basis
8. Shift freight to alternative modes
8.1 Send a greater % of freight by rail
8.2 Send a greater % of freight sea or waterway
9. Reconfigure the logistics system
9.1 Reposition inventory within the existing system
9.2 Relocate distribution facilities
Long list: 82 carbon-reducing measures
38 measured modelled
• Reducing energy consumption (relative to distance travelled)
• Reduce carbon content of the energy consumed
• Reduce distance that vehicles travel
Development of software tool to help companies devise carbon-reduction strategies
15
16 http://www.fta.co.uk/policy_and_compliance/environment/decarbonisation_tool.html
Carbon intervention modelling tool
16
Sustainable Freight Transport Framework 1
Reduce or avoid
need for freight
movement
Shift freight to greener
transport modes
Improve energy the
efficiency of freight
transport
AVOID SHIFT IMPROVE
Avoiding unnecessary transport
Swap arrangements
for basic chemicals:
an effective means of
cutting tonne-kms
Freight-Transport Intensity of Economies
0
20
40
60
80
100
120
140
160
180
200
Bulgaria
Poland
Germany
EU27
UK
Belgium
Ratio of freight tonne-kms to GDP (index values 2000 = 100)
Source: Eurostat 2014
More localised sourcing? - -
- need to conduct full
Life Cycle Analysis first
Restructuring of Logistics Systems within the EU?
Potential for future centralisation of production and warehousing?
At an advanced stage within countries, but at an EU level?
Source: Prologis, 2013
centralisation deecentralisation % of DCs serving areas of
differing geographical extent
Shifting transport mode
Modal Split for Inland Freight Transport in 2009 and 2030
22
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
2009 actual without target with target
Road
Rail
IWW
% o
f to
nne-k
ms
Target: EU 2011 Transport White Paper target for 30% of freight tonnes
moving over 300km to be carried by rail or inland waterway
Without target: Business-as-Usual projection of modal split
Analysis by Tavasszy and van Meijeren (2011) – based on Trans-Tools analysis
Railfreight share forecast
European Freight Modal Split: major shift to rail?
SCI/Verkehr Berlin, 2019
9 European Rail Freight Corridors
Improving efficiency
Dimensions of Supply Chain Collaboration
Collaboration
with LSPs Horizontal
collaboration
Vertical collaboration
Core
individual
company
capability
Between companies at the same level in
the supply chain:
within same sector in different sectors
Between companies at different
levels in the supply chain
Creation of partnerships
Contractual relationship
already exists
http://www.cefic.be/files/Publications/
supply_chain_excellence.pdf
Horizontal Collaboration
Source: Cap Gemini (2008)
opportunistic systematic network based
Gain sharing calculator
Shapley Value
27
1. Separate delivery operations 2. Groupage through 3PL
3. Collaborative synchronisation
Kg CO2
/ tonne
1. Separate delivery 43.8
2. Groupage 27.3
3. Collaborative synchronisation 20.3
Nestle – Pepsico Horizontal Collaboration in Benelux
Source: Jacobs et al 2014
28
Source: Steer Davies Gleave, 2013
4.5%
% of EU tonne-km moved by HCT
Collaborative bundling of freight to maximise load consolidation benefits from high capacity trucks
Studies of Low Carbon Truck Technology
US Supertruck Program
Improvements relative to 2009 baseline vehicle Imposition of fuel economy
standards for trucks in
Japan, US and China –
similar plans for the EU
Eco-driver training with fuel performance monitoring.
http://www.microlise.com
UK Department for Transport, 2010)
Source: International Energy Agency, 2009
Predicted Decarbonisation of Electricity Generation around the World
As carbon-intensity of electricity
reduces, electrification of highways
becomes a more cost-effective
way of decarbonising trucking Siemens e-Highway
test track, Berlin
strategic commitment measuring and reporting
environmental impacts of logistics
set target for reducing impacts Identify appropriate green measures
evaluate environmental and
cost impacts of these measures
Stages in the Development of a Sustainable Logistics Strategy
strategic commitment measuring and reporting
environmental impacts of logistics
set target for reducing impacts Identify appropriate green measures
evaluate environmental and
cost impacts of these measures devise implementation plan
and schedule
exploit / monitor benefits feedback
Stages in the Development of a Sustainable Logistics Strategy
Kühne Logistics University – the KLU Wissenschaftliche Hochschule für Logistik und Unternehmensführung Grosser Grasbrook 17 20457 Hamburg tel.: +49 40 328707-271 fax: +49 40 328707-109 e-mail: [email protected] website: www.the-klu.org
Professor Alan McKinnon