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Analytic Port Information System PARADIGMA, Rotterdam, 26.2.2013
28

Strategic Management in Maritime Ports

Jun 02, 2015

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APIS presentation at an EPCSA meeting in Rotterdam
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Page 1: Strategic Management in Maritime Ports

Analytic Port Information SystemPARADIGMA, Rotterdam, 26.2.2013

Page 2: Strategic Management in Maritime Ports

Addressing the requirements of port communities

Page 2

Changing role of maritime ports

Volatility in the global economy means variability in the demand for transportation services, requiring thourough analysis of the business.

Adoption of intermodality exerts pressure on port authorities to morph from a maritime port to a competitive multimodal services facility.

Concerns about the negative impact of maritime, truck, and rail transportation on the environment require ports to respond and communicate effectively

Page 3: Strategic Management in Maritime Ports

Page 3

Managing Complexity

Balanced Scorecard

In-DepthAnalysis

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 4: Strategic Management in Maritime Ports

Page 4

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 5: Strategic Management in Maritime Ports

Consolidated data model & UN/ECE Recommendations

Page 5

Recommendation 28 means of transport

Recommendation 19 mode of transport

Recommendation 16 location codes

Recommendation 21 cargo, package types

Page 6: Strategic Management in Maritime Ports

Page 6

Managing Complexity

Balanced Scorecard

In-DepthAnalysis

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 7: Strategic Management in Maritime Ports

Page 7

Port Strategic Management

Definestrategic goals

Definestrategic goals PrioritzePrioritze OperationalizeOperationalize

SMART goal setting

SMART goal setting

Analytical Hierarchy Process

Analytical Hierarchy Process

Implement indicatorsystem

Implement indicatorsystem

Requirementscatalog

PPI catalogRequirementsrating matrix

Framework artifacts

Process model

Port performance indicator framework

Management process

Page 8: Strategic Management in Maritime Ports

Page 8

PPI catalog

Define & 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 vessels

time hours

Minimize

Page 9: Strategic Management in Maritime Ports

Using AIS data to measure dwell times in port areas

Page 9

Page 10: Strategic Management in Maritime Ports

Page 10

PPRISM

Implement Indicator System

… Implementation of selected PPRISM indicators… Throughput, Market Share, Herfindahl Index using EUROSTAT maritime data

Page 11: Strategic Management in Maritime Ports

Page 11

Implement Indicator System

… define growth rates using „cleansed“ dataPPRISM

Page 12: Strategic Management in Maritime Ports

Page 12

PPI Visualization

Page 13: Strategic Management in Maritime Ports

Page 13

PPI Dashboard

Page 14: Strategic Management in Maritime Ports

PPI process benefits

SMART supports the definition of suitable KPI‘s

AHP assists in selecting & prioritizing KPIs Which indicators should be developed first Which indicators should be improved to reflect objectives ?

Transparent & auditable implementation of KPI‘s Using a declarative language used in statistical production processes

Providing components to impute missing values and data cleansing

Visualization of KPI‘s using dashboards or dissemination tools

Page 14

Page 15: Strategic Management in Maritime Ports

Page 15

Managing Complexity

Balanced Scorecard

In-DepthAnalysis

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 16: Strategic Management in Maritime Ports

Page 16

GTDS for Transportbased on SuperVIEW

technology

Web analysis of transport & trade flows

Page 17: Strategic Management in Maritime Ports

In-depth desktop analysis tool: SuperCROSS

Page 17

Page 18: Strategic Management in Maritime Ports

In-depth desktop analysis tool: Network Analysis

Page 18

Page 19: Strategic Management in Maritime Ports

Page 19

Managing Complexity

Balanced Scorecard

In-DepthAnalysis

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 20: Strategic Management in Maritime Ports

Self-service analysis & charts for stakeholders

Page 20

Page 21: Strategic Management in Maritime Ports

Website integration of self-service charts

Page 21

Page 22: Strategic Management in Maritime Ports

APIS Hallmarks & Differentiators

Page 22

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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2

3

4

5

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 requirements

6

Page 23: Strategic Management in Maritime Ports

Page 23

Benefits for Port Community System Providers

EXPAND SCOPE OF EXISTING PORTFOLIO

PROTECT PCS INVESTMENT

Provide analytical and BI support to serviced port communities

Support the analytical, reporting and publication requirements of the community by seamlessly providing PCS’s and other data sources

Provide a set of port performance indicators to enable the communiy to plan, manage and monitor the execution of strategic plans

Seamless integration without impacting operational systems

Enable users to perform their analyses independent of the support from IT specialists

Maintain the confidentiality of business data using integrated data protection mechanisms

Use SDMX to support the dissemination of statistics compliant with reporting requirements of institutions

Page 24: Strategic Management in Maritime Ports

Page 24

Primary beneficiaries: the ultimate customers

Support the decision making processes at tactical and strategic level

Manage and monitor the execution of strategic plans using PPI’s

Provide timely, and meaningful informationto stakeholders Publish information in an attractive and convenient manner.

Identify new and emerging business opportunities Manage and monitor the execution of strategic tactical and

operational plans. Aggregated statistics and PPI’s will serve as a benchmark for

terminal operators and other actors

Guide policy formulation using empirical analysis Efficient implementation of a risk management system. Monitor the development of traffic and cargo movements,

combining APIS with their own data to detect potential safety and security exposures.

Page 25: Strategic Management in Maritime Ports

Page 25

APIS Architecture

Analytical Port Information System

PCS

AIS

Rail Staging Area

ConsolidatedAnalytical Database

GeographicalReference Data

Control & SchedulingApplication

Transformation & Integration (PENTAHO)Dimension & Classification Management

Dashboard

Domain specific multidimensional Statistical Datamarts (SUPERSTAR )

Geographical Trade & Transport Visualization (ESRI, GOOGLE)

Self ServiceReports

Statistics & econometric analyses (SuperCROSS, R, SPSS, SAS, …)

SDMX Web Service

Page 26: Strategic Management in Maritime Ports

APIS Deployment phases

Page 26

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 usageInterconnect APIS with existing software applications

Data consolidation

Data consolidation

Report alignmen

t

Report alignmen

t

Calibrate PPI‘s

Calibrate PPI‘s IT integrationIT integration TrainingTraining

Page 27: Strategic Management in Maritime Ports

Page 27

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 28: Strategic Management in Maritime Ports

Page 28

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 cycleBusiness 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