Strategic Management in Maritime Ports

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APIS presentation at an EPCSA meeting in Rotterdam

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Strategic Management in Maritime Ports

  1. 1. Analytic Port Information System PARADIGMA, Rotterdam, 26.2.2013
  2. 2. Addressing the requirements of port communities 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  2
  3. 3. Components of APIS Managing Complexity Balanced Scorecard In-Depth Analysis  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 Dissemination & microdata (SuperVIEW) in existing web applications Publication  SDMX interface to comply with statistical reporting requirements Page  3
  4. 4. Different sources – different data – same business Terminal operators By location of origin, destin ation or transit By cargo or products traded By means of transport or transport equipment Page  4 Rail operators/carriers Road transport comp. Customs/officials Gov‘t/official statistics
  5. 5. Consolidated data model & UN/ECE Recommendations Recommendation 19 mode of transport Recommendation 28 means of transport Recommendation 16 location codes Recommendation 21 cargo, package types Page  5
  6. 6. Components of APIS Managing Complexity Balanced Scorecard In-Depth Analysis  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 Dissemination & microdata (SuperVIEW) in existing web applications Publication  SDMX interface to comply with statistical reporting requirements Page  6
  7. 7. Port Strategic Management Management process Define strategic goals Prioritze Operationalize Analytical Hierarchy Process Implement indicator system Port performance indicator framework SMART goal setting Process model Framework artifacts Page  7 Requirements catalog Requirements rating matrix PPI catalog
  8. 8. Define & select suitable indicators PPI catalog … 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  8
  9. 9. Using AIS data to measure dwell times in port areas Page  9
  10. 10. Implement Indicator System PPRISM Page  10 … Implementation of selected PPRISM indicators … Throughput, Market Share, Herfindahl Index using EUROSTAT maritime data
  11. 11. Implement Indicator System PPRISM Page  11 … define growth rates using „cleansed“ data
  12. 12. PPI Visualization Page  12
  13. 13. PPI Dashboard Page  13
  14. 14. 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
  15. 15. Components of APIS Managing Complexity Balanced Scorecard In-Depth Analysis  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 Dissemination & microdata (SuperVIEW) in existing web applications Publication  SDMX interface to comply with statistical reporting requirements Page  15
  16. 16. Web analysis of transport & trade flows GTDS for Transport based on SuperVIEW technology Page  16
  17. 17. In-depth desktop analysis tool: SuperCROSS Page  17
  18. 18. In-depth desktop analysis tool: Network Analysis Page  18
  19. 19. Components of APIS Managing Complexity Balanced Scorecard In-Depth Analysis  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 Dissemination & microdata (SuperVIEW) in existing web applications Publication  SDMX interface to comply with statistical reporting requirements Page  19
  20. 20. Self-service analysis & charts for stakeholders Page  20
  21. 21. Website integration of self-service charts Page  21
  22. 22. APIS Hallmarks & Differentiators 1 Seamless integration with existing PCS and other datasources, without impacting the performance of the operational systems 2 A comprehensive and consolidated view of all essential aspects of a ports business ready for analysis and reporting 3 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 4 Comprehensive set of predefined and extensible indicators which allow the management of the port to plan, manage and monitor the execution of strategies 5 Built in and customizable access control features, ensuring the confidentiality and sensitivity of underlying microdata 6 Integrated mechanisms (SuperVIEW, SDMX) to support the publication and dissemination of statistics, meeting stakeholder expectations and complying with international reporting requirements Page  22
  23. 23. Benefits for Port Community System Providers EXPAND SCOPE OF EXISTING PORTFOLIO  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 Page  23 PROTECT PCS INVESTMENT  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
  24. 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  24
  25. 25. APIS Architecture Analytical Port Information System Control & Scheduling Application Statistics & econometric analyses (SuperCROSS, R, SPSS , SAS, …) PCS AIS Rail Dashboard Staging Area Transformation & Integration (PENTAHO) Dimension & Classification Management Page  25 Domain specific multidimensional Statistical Datamarts (SUPERSTAR ) Consolidated Analytical Database Geographical Reference Data Self Service Reports SDMX Web Service Geographical Trade & Transport Visualization (ESRI, GOOGLE)
  26. 26. APIS Deployment phases Customization & training of customer personel Map local data sources (PCS) to the consolidated APIS data model (using NLIP standards) Data consolidation Adapt and calibrate port performance indicators to local levels Report alignment Align APIS reporting to the requirements of the port. Integrate in existing INTRA – INTERNET platforms. Page  26 Provide role adequate training for management, analy sts and system administrators Calibrate PPI‘s IT integration Purchase licences for productive usage Interconnect APIS with existing software applications Training
  27. 27. PARADIGMA & Transportation Sector Statistical production, marketing potential and business development Establish the empirical foundation for Austria's road transport model (Ministry of Transport and Infrastructure) Combine different survey’s and administrative data sets 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 Feasibility studies to connect the Baltics with the Adriatic using rail links (Venice/Italy, Szczecin/Poland, EU funded project) Market potential study for transport relations between the Eastern Mediterranean and Central Europe (Venice/Italy) Identify cargo, consigners/consignees, transportation service providers Identify barriers to multimodality ( in Europe) and develop case studies to test their economic and ecological impact (Bologna, EU funded project) Page  27
  28. 28. PARADIGMA & Maritime Ports Mediterranean 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 Page  28
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