DNV GL webinar

DNV GL © 2014 SAFER, SMARTER, GREENER DNV GL © 2013

Fleet Performance Management

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MARITIME

October 2014

Webinar

20 June 2014

DNV GL © 2014

Welcome to todays webinar

Your presenter: §  Dr. Torsten Büssow

§  Director, Head of Fleet Performance Management

§  DNV GL Maritime, Head office Hamburg

§  [email protected]

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Speed

MCR

FOC

We hope you can take away a few key points from this webinar

§  For assessing why a vessel is performing worse than others you need a comprehensive view on voyage, engine & systems and hull & propeller performance, just tracking the vessel is not enough

§  You collect most of the needed data already in some way, with a small change in tooling but keeping the same processes we can use them for performance management

§  Both analytics and data collection work for the whole fleet of e.g. own, managed, chartered in vessels, existing data collection systems and approaches can be integrated to protect already made investments into e.g. automatic data collection systems

§  Making fleet performance management work is not a large software implementation project, but can be done in a few weeks

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Agenda

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A Why Fleet Performance Management?

B What to measure / which KPIs?

C Which data to collect and how?

D Which systems to integrate and why?

E How fast could we be?

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2014 survey reveals high importance yet low achievement level of energy management in shipping

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Source: DNV GL - Maritime, Energy Management Study 2014

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> 10% 4 – 10%

6% 18%

1 – 3%

60%

< 1%

8%

None

8%

How much fuel reduction did you experience (estimate) since your company implemented energy mgmt.?

•  Energy Management has become a competitive factor beyond compliance

•  Many shipping companies have realized first savings, but far below expectations

•  Ambitious targets can only be reached by measures beyond the obvious

“You cannot improve what you do not manage.”

“You cannot manage what you do not measure”

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There is a lot to be gained still in performance improvements (example smaller container vessels)

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§  Double digit difference in Fuel Oil Consumption (= CO2 emissions) between best in class to market average container vessel performance

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0.18 0.12 0.06 0.00

+30%

+17%

+20%

4000 - 5000 TEU

2000 - 3000 TEU

1000 - 2000 TEU

<1000 TEU

+10%

FOC/Nm

Best in Class Liner Market Average

Benchmark against 546 selected vessels operated by MAERSK, CMA CGM, HANJIN, Hapag-Lloyd, OOCL, COSCO, NYK, MOL, HMM, Yang Ming, Evergreen Jan-Dec. 2013.

Fuel oil consumption/Nm during sea passage

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Agenda

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§  Operational modes §  Consumption §  Speed profile §  Weather condition §  Trim adherence §  Energy Efficiency Operational Indicator (EEOI) §  Emissions

Which KPIs are most relevant for you? What is in your SEEMP?

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Engine & systems performance

Hull & Propeller performance

Voyage performance

ECO Insight

Major performance categories Example KPIs

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§  Consumption, SFOC, RPM, loads, pressures, running hours, production rates, temperatures, flows at –  Main and Auxillary Engines –  Boiler –  Cooling water system –  Pressurized air system –  Lube oil system

§  Hull & propeller performance drop due to fouling

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Performance management is different from tracking

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•  Analytics with historic data (>1 day old)

•  Allowing for more structural questions why vessel performs worse than others

•  Using complex analytics and norma-lizations e.g. for hull degradation

•  Close to real time display of vessel position and speed

•  Allowing for intervention on the voyage

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DNV GL solution: ECO Insight is more than just dashboards, it will give outside in view on your performance

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AIS Data

Fuel Data Vessel Data

Weather Data •  Comprehensive view on fleet

performance (voyage, engine & system, hull & propeller)

•  Benchmarks against own fleet and market averages (e.g. world container ship fleet 50-100kDWT)

•  Advanced Analytics e.g. for hull degradation using CFD models

•  Optional: Advice from DNVGL specialists

Public domain industry data

Operations data from customers’ vessels

Fleet 1 Fleet 2

Fleet 3 Fleet 4

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24/7 access anytime, anywhere without special requirements enables undisrupted performance management worldwide

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ECO Insight

Capabilities

§  Access ECO Insight anytime, anywhere through your browser

§  Assign users with specific access rights, such as viewing of dashboards, system admin etc. within your company

ECO Insight web access

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AIS bench. AIS bench.

AIS bench.

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Example: dashboards always compare vessel group and dive deep into a single vessel in the same view

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Example: Flexible and quick filter mechanisms allow each user to perform fast analysis and reporting

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ECO Insight

§  Select vessels to include in analysis

§  Select single vessel to analyze vs. selected group

§  Set analysis time period

§  Definition of vessel groups to benchmark against

§  Set time period for comparison (can different from analysis time period to allow for e.g., last year comparisons)

§  Select filters on

–  Operational modes

–  Voyages

–  Weather conditions

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Agenda

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For fleet performance management you need to collect two types of data

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Event data:

data over a period of time (e.g. noon-to-noon, or since last event)

Snapshot data:

Data at a certain point in time (measured several times a day)

Avg. speed Distance FOC …

Load RPM Pressure … Weather

•  Hooks up to existing ship-to-shore processes in a shipping company

•  Arrival, Departure, Noon, BOSP reports

•  Manual input is required, but quality can be improved significantly if plausibility checked

•  Data exists but often only onboard

•  Automatic data collection with benefits in data accuracy and density (e.g. 15min internals)

•  Special weather routing providers for weather data and routing

+

What data exist with you?

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What is better: Manual or automatically captured

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Manual entry:

Manually entered on board

Automatic collection:

Directly measured from systems

Known to crew, no installation effort, data quality issues

Only relevant for snapshot data

Much better accuracy, need to go to every vessel, suited for “high investment vessels”

Golden mean: Manual entry, but plausibility checked against ship and company specifics and completeness

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Navigator Insight data collection system makes better use of reported voyage information

•  Software solution for onboard data recording and onshore data logging and analysis

•  Using existing ship-shore-reporting processes without additional effort for the crew

•  High degree of plausibility checks built in to increase data quality

•  Collects and shares data onshore (automatic log abstracts, e-mail push)

Onboard system

Onshore system

Onboard system

Onboard system

Onboard system

Fleet team

Operations department

Operator

Agent

…

Navigator Insight system

ECO Insight Portal

Navigator Insight

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Examples: Helping the crew to report in a simple manner…

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Guiding the crew what to fill out

ROBs always visible

Navigator Insight

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“Low investment” candidate vessels (e.g. chartered in ones, 3rd party managed ones) §  Low-cost, quick data acquisition using Navigator Insight

software e.g. on bridge, in engine room and ship office

“High investment” candidate vessels (own ones with sensors) §  Navigator Insight for event reporting + automatic data

acquisition based on sensors and hard wiring with automatic data collection system

ECO Insight

The solution is flexible to cover different vessel types in your fleet

Integrated onshore access

§  One performance view of whole

fleet independent of data collection method

§  High level of quality and transparency incl. automated reporting

§  Less burden on crew by not introducing any additional processes (rather replacing)

§  No onboard training needs

03/12/14

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Taking the DNV GL Performance Management offering is the fastest track for a leading solution

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Weeks Steps

1 2 3 4 5 6 7 8

Contract signed

NI Server Set up

Kick Off Workshop

Master data collection & entry

Onboard version confi-guration & distribution

Onboard activation

Opt.: historic data migra-tion to EI dashboards

EI Dashboard activation

Office training and go live

Project logic

•  Kick off workshop will give system overview and who does what until when in the coming weeks

•  Master data are entered into server from shipping company

•  In parallel the board version can be send to the vessels

•  If both done, the board versions can be activated

•  Dashboards will only be activated after data collection works

•  Historic data migration as optional step

•  Office training of key users will mark official go live

NI: data collection system Navigator Insight, EI: fleet performance portal ECO Insight

DNV GL © 2014

Speed

MCR

FOC

Summary: We hope you could take away a few key points from this webinar

§  For assessing why a vessel is performing worse than others you need a comprehensive view on voyage, engine & systems and hull & propeller performance, just tracking the vessel is not enough

§  You collect most of the needed data already in some way, with a small change in tooling but keeping the same processes we can use them for performance management

§  Both analytics and data collection work for the whole fleet of e.g. own, managed, chartered in vessels, existing data collection systems and approaches can be integrated to protect already made investments into e.g. automatic data collection systems

§  Making fleet performance management work is not a large software implementation project, but can be done in a few weeks

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