APIS Briefing
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Transcript of APIS Briefing
Analytic Port Information System
PARADIGMA, Vienna, August 7, 2012
Page 2
PARADIGMA & Transportation Sector
Market potential study for transport relations between the Eastern
Mediterranean and Central Europe (Venice/Italy)
Identify cargo, consigners/consignees, transportation service providers
Statistical production, marketing potential and business development
Feasibility studies to connect the Baltics with the Adriatic using rail
links (Venice/Italy, Szczecin/Poland, EU funded project)
Production of national road transportation statistics using ICT
(R&D project with freight forwarders, truckers and academic institutions)
Utilize existing transport management systems and onboard technology
Establish the empirical foundation for Austria's road transport model (Ministry of Transport and Infrastructure)
Combine different survey‟s and administrative data sets
Identify barriers to multimodality ( in Europe) and develop case
studies to test their economic and ecological impact (Bologna, EU
funded project)
Page 3
PARADIGMA & Maritime Ports
Port of Livorno and its role in a multimodal transport process
Supply chain development of imports of Subaru cars from Japan to Italy, crossing the Alps and to the national car distributor.
Port of Ravenna and inland ports in the empty container movement cycle
Business process modeling and prototyping to manage the relocation of empty containers.
Port of Venice and monthly tracking of cargo movements (maritime, road and rail)
Combining data from APV‟s own port community system, with rail shunting data and traffic counts from the highway administration
Mediterranean ports
… a set of methods and software components to support Port
Authorities in their the analytical, planning, monitoring, controlling
and publishing work.
Maritime ports are faced with a plethora of challenges that require
decisions founded on solid empirical evidence as opposed to
subjective experience only.
In spite of the considerable investment in information technology
made in the past, port communities are not satisfied with the quality
of the data nor with the decision support.
More often than not information is not current, lacks detail as well as
reliability making any analysis, no matter how sophisticated, which is
based on such data, dubious at best.
Page 5
Managing
Complexity
Balanced
Scorecard
In-Depth
Analysis
Dissemination &
Publication
Integrating data from disparate sources (PCS, statistics, road counts, railroad systems, AIS, …) using ETL engines
Classification Management System
A comprehensive set of performance indicators
Visualizations tailored to highlight the information content
Easy definition and implementation of additional PPI„s
Analysing trends and deviations by means of reach statistics functions and visual data analysis tools (SuperCROSS, SuperWEB)
Interfaces for use of industrial analytical tools (SPSS, SAS, R, … )
Integration of demand driven reports and visualization using microdata (SuperVIEW) in existing web applications
SDMX interface to comply with statistical reporting requirements
Components of APIS
Page 6
Different sources – different data – same business
Terminal operators Rail operators/carriers Road transport comp. Customs/officials Gov‘t/official statistics
By location of
origin,
destination
or transit
By cargo or
products
traded
By means of
transport or
transport
equipment
Page 7
Managing
Complexity
Balanced
Scorecard
In-Depth
Analysis
Dissemination &
Publication
Integrating data from disparate sources (PCS, statistics, road counts, railroad systems, AIS, …) using ETL engines
Classification Management System
A comprehensive set of performance indicators
Visualizations tailored to highlight the information content
Easy definition and implementation of additional PPI„s
Analysing trends and deviations by means of reach statistics functions and visual data analysis tools (SuperCROSS, SuperWEB)
Interfaces for use of industrial analytical tools (SPSS, SAS, R, … )
Integration of demand driven reports and visualization using microdata (SuperVIEW) in existing web applications
SDMX interface to comply with statistical reporting requirements
Components of APIS
SMART criteria
SMART
Specific
Measurable
AttainableRealistic
Time-sensitive
Page 8
SpecificLoose, broad or vague goals are not desirable. Specific
goals allow to hold someone to account for their
achievement.
MeasurableThe measure may be quantitative or qualitative, but
measurement should be against a standard of performance
and a standard of expectation.
AttainableGoals should not be out of reach but reasonable and
attainable. Setting goals is a balance between this degree
of “attainability” and challenge and aspiration.
RealisticA goal might be attainable, but not realistic in the
particular working environment. A realistic goal helps
examining the availability of resources and selecting PPIs.
Time-sensitiveGoals should have a time frame or completion date to
monitor progress. This is instrumental in developing a
realistic action plan including intermediate objectives.
Requirements
rating
Using AIS data to measure dwell times in port areas
Page 9
Page 10
PPI catalog
Select suitable indicators
… based on best industry practice and research
Perspective Requirement Indicator Computation Unit type Unit Direction
Processes Productivity Dwell time Total no. of cargo tons x days
in port divided by Total
tonnage of cargo handled
time hours Minimize
Asset Throughput Berth
throughput
Total tonnage of cargo
handled at berths divided by
Total no. of berths
number tons Maximize
Finance Income Income per
GRT of shipping
Total income (expenditure)
divided by Total GRT (or NRT)
of shipping
number € Maximize
Processes Efficiency Average
tonnage per
vessel day
Total tonnage of cargo
handled divided by (hour)
Total no. of vessel days
(hours)
number tons Maximize
Processes Efficiency Average ship
turn-round
time
Total hours vessel stay in port
divided by Total no. of vesselstime hours Minimize
Page 11
Managing
Complexity
Balanced
Scorecard
In-Depth
Analysis
Dissemination &
Publication
Integrating data from disparate sources (PCS, statistics, road counts, railroad systems, AIS, …) using ETL engines
Classification Management System
A comprehensive set of performance indicators
Visualizations tailored to highlight the information content
Easy definition and implementation of additional PPI„s
Analysing trends and deviations by means of reach statistics functions and visual data analysis tools (SuperCROSS, SuperWEB)
Interfaces for use of industrial analytical tools (SPSS, SAS, R, … )
Integration of demand driven reports and visualization using microdata (SuperVIEW) in existing web applications
SDMX interface to comply with statistical reporting requirements
Components of APIS
Page 12
PPI Analysis
… control target achievement
Terminal turnover by
cargo typesBullet graph array
Page 13
GTDS for Transportbased on SuperVIEW technology
Web analysis of transport & trade flows
In-depth desktop analysis tool: SuperCROSS
Page 14
Page 15
Managing
Complexity
Balanced
Scorecard
In-Depth
Analysis
Dissemination &
Publication
Integrating data from disparate sources (PCS, statistics, road counts, railroad systems, AIS, …) using ETL engines
Classification Management System
A comprehensive set of performance indicators
Visualizations tailored to highlight the information content
Easy definition and implementation of additional PPI„s
Analysing trends and deviations by means of reach statistics functions and visual data analysis tools (SuperCROSS, SuperWEB)
Interfaces for use of industrial analytical tools (SPSS, SAS, R, … )
Integration of demand driven reports and visualization using microdata (SuperVIEW) in existing web applications
SDMX interface to comply with statistical reporting requirements
Components of APIS
Website integration of self-service charts
Page 17
Page 18
Beneficiaries & benefits
Enhance the competitive position of ports
Improve the efficiency and visibility of supply chains (door-door)
Enhance the image of the port, provide meaningful information to the public and industry players.
Consolidated and aggregated statistics will serve as a benchmark for terminal operators and LSP’s
LSP’s will be able to increase the transparency and visibility of the Supply Chains
LSP’s will be able to develop innovative logistics concepts
Public Administration and transport planners will be able to guide public policy formulation.
Customs will be able to monitor and analyze the development of traffic and cargo movements, combining APIS with their own data to detect potential safety and security exposures.
APIS Hallmarks & Differentiators
Page 19
Seamless integration with existing PCS and other datasources, without
impacting the performance of the operational systems
Enabling different user groups within the port community to develop their
own analysis from simple tables to advanced analytics without the
involvement of IT staff
Comprehensive set of predefined and extensible indicators which allow
the management of the port to plan, manage and monitor the execution
of strategies
Built in and customizable access control features, ensuring the
confidentiality and sensitivity of underlying microdata
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A comprehensive and consolidated view of all essential aspects of a ports
business ready for analysis and reporting
Integrated mechanisms (SuperVIEW, SDMX) to support the publication and
dissemination of statistics, meeting stakeholder expectations and
complying with international reporting requirements6
Backup
Page 20
Page 21
APIS Architecture
APIS Deployment phases
Page 22
Map local data sources
(PCS) to the
consolidated APIS data
model (using NLIP
standards)
Customization & training of customer personel
Adapt and calibrate
port performance
indicators to local
levels
Provide role
adequate training
for management,
analysts and system
administrators
Align APIS reporting
to the requirements
of the port.
Integrate in existing
INTRA – INTERNET
platforms.
Purchase licences for
productive usage
Interconnect APIS
with existing software
applications
Data
consolidation
Report
alignment
Calibrate
PPI„sIT integration Training