Innovation in Smart Ports: Future Directions of Digitalization in Container Ports
Abstract
:1. Introduction
2. Smart Port 4.0
3. Research Approach
- (a)
- Clear structure of the scenarios: In our research, we followed the [28] scenario building theory and constructed our scenarios by first conducting a background analysis, which enabled us to identify and include drivers for change. The background research eventually led us to build the scenarios around different innovation leaders
- (b)
- Internal consistency of the scenarios: We ensured consistency by analyzing the literature, state-of-the-art in ports and each scenario from three key viewpoints—automation, sustainability, collaboration.
- (c)
- Scientific adequacy of the provided evidence and argumentation in the scenario: This paper provides evidence from scientific articles and from state-of-the art data. This background analysis was enhanced with several repeated nonformal discussions and interviews with maritime experts (port authorities, terminal operators, shipping lines and port technology providers) who collaborated in the same research project with the authors and whose feedback helped the authors to construct the smart port scenarios.
4. Background—Setting the Scene
4.1. Key Trends and Uncertainties
4.2. Literature on Port 4.0 and Smart Ports
Article | Port 4.0 Issues/Focus | Time Horizon | Methodology | Focus | ||
---|---|---|---|---|---|---|
Alahmadi et al., 2022 [43] | Blockchain integrated into port processes such as financial and document workflow | Present and future adoption | Review article discusses the adoption of blockchain in the ports and shipping industry | A | C | |
Alop, 2019 [44] | Human relations are the main challenges and barriers to the successful “smart shipping” | Present | Swot analysis | C | ||
Ben Farah et al., 2022 [45] | Operations, environment, energy, safety and security, and human relations | Present—index for sustainable smart port | Literature review | A | S | C |
Braidotti et al., 2020 [46] | The enhancement of the data collection and exchange systems among the involved parties is identified as a priority, as confirmed by the technologies deemed most relevant: Maritime transport chain, ETA, and Deliverables Planning | Present on the automation of ports and logistics chains in the Adriatic region | Desk research, innovation ranking and impact analyses | C | ||
Camarero Orive et al., 2022 [47] | A tool for evaluating the degree of blue economy in port | Future—the emerging sectors in blue economy | Delphi panel | S | ||
Camarero Orive et al., 2020 [40] | Collaboration, decarbonization, transparency, technology and cybersecurity | Future—important issues at automated ports | Business observation tool to help automated terminals develop their strategies | A | S | C |
Chang et al., 2020 [48] | Blockchain, collaboration | Present—identifies collaborative schema and future research directions for industry, government, and academia to jointly work together | Synthesis of the state-of-the-art | C | ||
Cil et al., 2022 [49] | IoT | Present—Internet of Things enabled real time cold chain monitoring | IoT-enabled system developed for remote monitoring of temperature, humidity etc. | A | ||
Chu et al., 2018 [9] | Major barriers (in descending order of importance): capabilities of the workers, data quality, siloed operations, handling of exceptions. | Present—automation has become a trend. Barriers of reaping the benefits from automation at ports | Global survey, 40 participants from top ports, automation equipment and software suppliers, academia, port asset-management firms, and shipping companies | A | ||
De La Peña Zarzuelo 2021 [50] | Cybersecurity | Future—challenges of the industry and policymakers when transitioning to 4.0 world | Literature review | A | ||
De La Peña Zarzuelo et al., 2020 [16] | Co-operation, integration, IoT, sensing solutions, big data and cloud computing, blockchain, drones, robotics and automation, augmented and virtual reality, artificial intelligence and machine learning, simulation and modelling, energy solutions, smart asset management, cybersecurity, connectivity, standards and federated database systems | Present—the state of the art of Industry 4.0 technologies at port and maritime industry | Systematic literature review | A | C | |
D’amico et al., 2021 [41] | Enabling factors (ecosystem, organization, data and security, policy and regulation, finance and funding, digital and technology), domains (mobility, environment, economy, telecommunications, safety and security, government, community) and goals (sustainable development and digitalization) | Present—the most recurring themes concerning smart and sustainable logistics initiatives within port cities | Systematic literature review | A | S | C |
Fahim et al., 2021 [12] | Fully globally functioning physical, digital and operational interconnectivity through encapsulation, interfaces and protocols may not be reached by 2040 | Future—design potential development paths of physical internet at maritime ports | A Delphi method | A | C | |
Fenton et al., 2018 [36] | Three of the scenarios expected data and analytics to be a fundamental driver of value; automation across value chain. One less optimistic scenario where data and analytics only an “overlay”, gradual automation, especially landside (ports, rail, trucks) | Future—scenarios for container transport. Variables: economies of scale, flexibility, supply chain reliability and predictability, consolidation and integration, automation and productivity, environmental productivity | Interviewed over 30 industry leaders and experts, then a joint workshop with the TT Club Board members to further develop future scenarios | A | S | C |
Frost & Sullivan Company 2019 [51] | Smart port technologies divided into five areas. Larger ports and ports facing intense geographically close competition faster to adopt new technologies | Present—technology export potential analysis. Analysis and comparison of nine ports | Overview on smart port technological contents and selected ports adoption | A | ||
Gonzalez-Cancelas et al., 2020 [1] | Collaboration evolvement and alignment for new partners; skills and practices; Transparency with, e.g., data exchange and control tools | Present and future—port digitalization | A SWOT Delphi study of 27 experts, both theorical and practical | C | ||
Heilig et al., 2017 [52] | Stages in IS evolution in ports: first, introduction of computerized data and systems; second, introduction of automated processes; third, since 2010, a shift to “smart” procedures including, e.g., more interorganizational interaction and real-time data analytics | Overview on digital transformation of ports | Retrospective analysis of events related to ports in general using IT-enabled business transformation framework | A | C | |
Heilig et al., 2017b [53] | Cloud computing and improved analyses open new opportunities. Simultaneously high requirements on IT/IS landscape and, e.g., integration of legacy systems | Present—the technologies in port information and decision support systems that have large role on information integration | Categorization | A | ||
Heilig and Voß 2017 [42] | Key features include: improved supply chain visibility through IoT; sensors and analytics; synchromodality as an ability to adapt plans real-time, and the need for interconnectivity and collaboration (where blockchain can become a trust-builder) | Future—technical vision paper on elements of intelligent supply chain | Industry news-based commentary | A | C | |
Hua et al., 2020 [54] | Port should focus on monitoring of energy consumption and pollutant emissions | Future—case study, governance strategy to determine the performance of Zhuhai Port in green port indicators | Fuzzy importance–performance analysis (FIPA) method | S | ||
Inkinen et al., 2021 [13] | The probable development pathway for port digitalization includes characteristics from all three scenarios. Key drivers: data standardization; logistic supply chain management, societal significance of ports in their home cities, environmental efficiency and Industry 4.0 | Future—prospects of digitalization in Finnish seaports | Three digitalization scenarios (digital supremacy, business as usual, and digital failure) analyzed with SWOT and PESTEL | A | S | C |
Jensen 2017 [55] | Four change drivers: digitization, transparency, supply chain dispersal and network optimization. Exception handling. Supply chains become more scattered rather than China-centered. Alliance swapping agreements are one tool for point-to-point | Future—liner shipping network logic | Expert view, technical vision paper on liner shipping | A | C | |
Lind et al., 2020 [56] | Smart port information services provide value. Data and their sharing governance with big data intelligence are focal. Lighthouse ports refer to digital pioneers supporting holistically digitization of whole supply chain as a trusted environment | Future—smart port role for supply chains | Expert view, technical vision paper | A | C | |
Molavi et al., 2020 [4] | KPIs are organized around four key activity domains of a smart port: operations, environment, energy, and safety and security. | Present—smart port index (SPI) | Developed index is demonstrated by case studies | A | S | |
Montesinos and Guia 2019 [57] | Data belongs to different sensor owners, and beneficiaries of the data are diverse. Collaboration needed for integrating different hardware and communication technologies with, e.g., IoT platforms. | Present—smart port implementation requirements | Expert view, technical vision paper | A | C | |
Notteboom 2019 [58] | Port communities are determined to reduce the environmental footprint and to transition to a more energy-efficient and circular economy | Present and Future—evaluation of year 2019 and near future in European container ports | Expert view | S | ||
Philipp 2020 [4] | Index consists of total 33 items divided into five areas: management, human capital, functionality, technology, and information. | Present | Constructs digital and Industry 4.0 readiness index and uses it to analyze five ports | A | ||
Rodrigo Gonzalez et al., 2020 [59] | Integrated digital merchandise management, mechanical systems automation, docking line efficiency, use of storage capacity, worker security, digitization of access security, digital interaction with client | Present—32 operational, social, political, environmental indicators for smart port in Spain. The aim is to rank Spanish smart ports. | Delphi study of 88 experts | A | C | |
Teerawattana and Yang 2019 [39] | Indicators of green port: CO2 emission, energy consumption, waste management, water consumption and quality, carbon footprint, air quality, soil and sediment quality, noise control, pollution emission and odor | Present—case study of Laem Chabang port (LCP) to select the green port assessment criteria | Entropy analysis of environmental performance indicators of LCP based on secondary data (2011–2014) | S | ||
Tijan et al., 2021 [10] | Innovative technologies (such as Blockchain or autonomous shipping) fosters digital transformation, but uncertainty of business impacts and the lack of standards and cooperation among stakeholders hinders | Present—drivers, success factors and barriers to digital transformation in the maritime transport sector | Literature review | A | C | |
Triska et al., 2022 [5] | Suggest a maturity model for smart terminal | Present—investigates characteristics and relations between enablers, applications, and outcomes for smart port terminals | Conceptual literature study and application of the maturity model in two Brazilian container terminals | A | S | C |
Wang et al., 2021 [60] | Development challenges of digital twin-driven management | Present—digital twin-driven management to realize visibility and traceability of on-site situations in real smart port | Investigates digital twin-driven applications | A | ||
Wang et al., 2019 [61] | International gate should aim for cost leadership, transshipment terminal is better with differentiation strategy. Close relationship with shipping lines or/and hinterland carriers is likely to increase automation | A multiple case study of 20 container terminals (archival sources + visits) | Container terminal process automation | A | C | |
Yau et al., 2020 [62] | IoT platform, greenhouse gases emission, energy efficiency, container management, use of AIS data for operation efficiency, resource management to reduce congestion | Present and Future—discussion of mainstream literature | Literature analysis enhanced with web sources | A | S |
4.3. State-of-the-Art in Major Contained Ports
4.3.1. Automation
4.3.2. Sustainability
4.3.3. Collaboration
5. Scenarios: Focus of Digital Innovations in Future Ports
5.1. Fragmented Innovation
5.2. Port Ecosystem
5.3. Logistic Chain Alliance
5.4. Global Closed Platform
6. Discussion and Implications
6.1. Managerial and Policy Implications
6.2. Theoretical Implications
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- González-Cancelas, N.; Molina Serrano, B.; Soler-Flores, F.; Camarero-Orive, A. Using the SWOT Methodology to Know the Scope of the Digitalization of the Spanish Ports. Logistics 2020, 4, 20. [Google Scholar] [CrossRef]
- Vanelslander, T.; Sys, C.; Lam, J.S.L.; Ferrari, C.; Roumboutsos, A.; Acciaro, M.; Macário, R.; Giuliano, G. A serving innovation typology: Mapping port-related innovations. Transp. Rev. 2019, 39, 611–629. [Google Scholar] [CrossRef]
- Philipp, R. Digital readiness index assessment towards smart port development. Nachhalt. Manag. Forum 2020, 28, 49–60. [Google Scholar] [CrossRef]
- Molavi, A.; Lim, G.J.; Race, B. A framework for building a smart port and smart port index. Int. J. Sustain. Transp. 2020, 14, 686–700. [Google Scholar] [CrossRef]
- Triska, Y.; Frazzon, E.M.; Silva, V.M.D.; Heilig, L. Smart port terminals: Conceptual framework, maturity modeling and research agenda. Marit. Policy Manag. 2022, 1–24. [Google Scholar] [CrossRef]
- Yeo, G.T.; Roe, M.; Dinwoodie, J. Measuring the competiti’eness of container ports: Logisticians’ perspectives. Eur. J. Mark. 2011, 45, 455–470. [Google Scholar] [CrossRef]
- Güner, S. Incorporating value judgments into port efficiency measurement models: Insights from Turkish ports. Marit. Econ. Logist. 2018, 20, 569–586. [Google Scholar] [CrossRef]
- Acciaro, M.; Ferrari, C.; Lam, J.S.L.; Macario, R.; Roumboutsos, A.; Sys, C.; Tei, A.; Vanelslander, T. Are the innovation processes in seaport terminal operations successful? Marit. Policy Manag. 2018, 45, 787–802. [Google Scholar] [CrossRef] [Green Version]
- Chu, F.; Gailus, S.; Liu, L.; Ni, L. The Future of Automated Port, Mckinzey. 2018. Available online: https://www.mckinsey.com/industries/travel-logistics-and-transport-infrastructure/our-insights/the-future-of-automated-ports (accessed on 5 December 2022).
- Tijan, E.; Jović, M.; Aksentijević, S.; Pucihar, A. Digital transformation in the maritime transport sector. Technol. Forecast. Soc. Chang. 2021, 170, 120879. [Google Scholar] [CrossRef]
- Acciaro, M.; Renken, K.; El Khadiri, N. Technological Change and Logistics Development in European Ports. In European Port Cities in Transition; Carpenter, A., Lozano, R., Eds.; Springer: Cham, Switzerland, 2020; pp. 73–88. [Google Scholar]
- Fahim, P.B.; Rezaei, J.; van Binsbergen, A.; Nijdam, M.; Tavasszy, L. On the evolution of maritime ports towards the Physical Internet. Futures 2021, 134, 102834. [Google Scholar] [CrossRef]
- Inkinen, T.; Helminen, R.; Saarikoski, J. Technological trajectories and scenarios in seaport digitalization. Res. Transp. Bus. Manag. 2021, 41, 100633. [Google Scholar] [CrossRef]
- Kagermann, H.; Wahlster, W.; Helbig, J. Securing the Future of German Manufacturing Industry—Recommendations for Implementing the Strategic Initiative INDUSTRIE 4.0, Final Report of the Industrie 4.0 Working Group. 2013. Available online: https://www.din.de/blob/76902/e8cac883f42bf28536e7e8165993f1fd/recommendations-for-implementing-industry-4-0-data.pdf (accessed on 5 December 2022).
- Reischauer, G. Industry 4.0 as policy-driven discourse to institutionalize innovation systems in manufacturing. Technol. Forecast. Soc. Chang. 2018, 132, 26–33. [Google Scholar] [CrossRef]
- De la Peña Zarzuelo, I.; Freire Soeane, M.J.; López Bermúdez, B. Industry 4.0 in the port and maritime industry: A literature review. J. Ind. Inf. Integr. 2020, 20, 100173. [Google Scholar] [CrossRef]
- Jun, W.K.; Lee, M.K.; Choi, J.Y. Impact of the smart port industry on the Korean national economy using input-output analysis. Transp. Res. Part A Policy Pract. 2018, 118, 480–493. [Google Scholar] [CrossRef]
- Botti, A.; Monda, A.; Pellicano, M.; Torre, C. The re-conceptualization of the port supply chain as a smart port service system: The case of the port of Salerno. Systems 2017, 5, 35. [Google Scholar] [CrossRef] [Green Version]
- Buiza-Camacho, G.; Cerbán-Jiménez, M.; González-Gaya, C. Assessment of the factors influencing on a smart port with an analytic hierarchy process. DYNA 2016, 91, 498–501. [Google Scholar] [CrossRef] [Green Version]
- Ferretti, M.; Schiavone, F. Internet of Things and business processes redesign in seaports. The case of Hamburg. Bus. Process Manag. J. 2016, 22, 271–284. [Google Scholar] [CrossRef]
- Yang, Y.; Zhong, M.; Yao, H.; Yu, F.; Fu, X.; Postolache, O. Internet of things for smart ports: Technologies and challenges. IEEE Instrum. Meas. Mag. 2018, 21, 34–43. [Google Scholar] [CrossRef]
- Chiarello, F.; Trivelli, L.; Bonaccorsi, A.; Fantoni, G. Extracting and mapping industry 4.0 technologies using Wikipedia. Comput. Ind. 2018, 100, 244–257. [Google Scholar] [CrossRef]
- Culot, G.; Orzes, G.; Sartor, M.; Nassimbeni, G. The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0. Technol. Forecast. Soc. Chang. 2020, 157, 120092. [Google Scholar] [CrossRef]
- Martelli, A. Scenario building and scenario planning: State of the art and prospects of evolution. Future Res. Q. 2001, 17, 57–74. [Google Scholar]
- Peterson, G.D.; Cumming, G.S.; Carpenter, S.R. Scenario planning: A tool for conservation in an uncertain world. Conserv. Biol. 2003, 17, 358–366. [Google Scholar]
- Schoemaker, P.J. Scenario planning: A tool for strategic thinking. Sloan Manag. Rev. 1995, 36, 25–50. [Google Scholar]
- Schmidt-Scheele, R. ‘Plausible’ energy scenarios?! How users of scenarios assess uncertain futures. Energy Strategy Rev. 2020, 32, 100571. [Google Scholar] [CrossRef]
- Walton, S.; O’Kane, P.; Ruwhiu, D. Developing a theory of plausibility in scenario building: Designing plausible scenarios. Futures 2019, 111, 42–56. [Google Scholar] [CrossRef]
- Hussain, M.; Tapinos, E.; Knight, L. Scenario-driven roadmapping for technology foresight. Technol. Forecast. Soc. Chang. 2017, 124, 160–177. [Google Scholar] [CrossRef]
- Notteboom, T.; Pallis, A.; Rodrigue, J.-P. Port Economics, Management and Policy; Routledge: New York, NY, USA, 2021. [Google Scholar]
- UNCTAD. Review of Maritime Transport 2020. United Nations. 2020. Available online: https://unctad.org/system/files/official-document/rmt2020summary_en.pdf (accessed on 5 December 2022).
- Bierwirth, C.; Meisel, F. A follow-up survey of berth allocation and quay crane scheduling problems in container terminals. Eur. J. Oper. Res. 2015, 244, 675–689. [Google Scholar] [CrossRef]
- Ivanov, D. Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transp. Res. Part E Logist. Transp. Rev. 2020, 136, 101922. [Google Scholar] [CrossRef]
- Savelsberg, E. Part One: Our Industry, PTI 100th Edition Video Interview of Eva Savelsber, Senior Vice President of Inform. 17 September 2020. Available online: https://www.youtube.com/watch?v=L_uENdP9Ttc (accessed on 18 November 2022).
- Lee, P.T.W.; Hu, Z.H.; Lee, S.; Feng, X.; Notteboom, T. Strategic locations for logistics distribution centers along the Belt and Road: Explorative analysis and research agenda. Transp. Policy 2022, 116, 24–47. [Google Scholar] [CrossRef]
- Fenton, C.; Storrs-Fox, P.; Joerss, M.; Saxon, S.; Stone, M. Brave New World? Container Transport in 2043. TT Club & McKinsey & Company. 2018. Available online: https://www.mckinsey.com/~/media/mckinsey/industries/travel%20transport%20and%20logistics/our%20insights/brave%20new%20world%20container%20transport%20in%202043/brave-new-world-container-transport-in-2043.pdf (accessed on 18 November 2022).
- Pu, S.; Lam, J.S.L. Blockchain adoptions in the maritime industry: A conceptual framework. Marit. Policy Manag. 2021, 48, 777–794. [Google Scholar] [CrossRef]
- Jović, M.; Tijan, E.; Brčić, D.; Pucihar, A. Digitalization in Maritime Transport and Seaports: Bibliometric, Content and Thematic Analysis. J. Mar. Sci. Eng. 2022, 10, 486. [Google Scholar] [CrossRef]
- Teerawattana, R.; Yang, Y.C. Environmental performance indicators for green port policy evaluation: Case study of Laem Chabang port. Asian J. Shipp. Logist. 2019, 35, 63–69. [Google Scholar] [CrossRef]
- Camarero Orive, A.; Santiago, J.I.P.; Corral, M.M.E.-I.; González-Cancelas, N. Strategic Analysis of the Automation of Container Port Terminals through BOT (Business Observation Tool). Logistics 2020, 4, 3. [Google Scholar] [CrossRef]
- D’Amico, G.; Szopik-Depczyńska, K.; Dembińska, I.; Ioppolo, G. Smart and sustainable logistics of Port cities: A framework for comprehending enabling factors, domains and goals. Sustain. Cities Soc. 2021, 69, 102801. [Google Scholar] [CrossRef]
- Heilig, L.; Voß, S. Information systems in seaports: A categorization and overview. Inf. Technol. Manag. 2017, 18, 179–201. [Google Scholar] [CrossRef]
- Alahmadi, D.H.; Baothman, F.A.; Alrajhi, M.M.; Alshahrani, F.S.; Albalawi, H.Z. Comparative analysis of blockchain technology to support digital transformation in ports and shipping. J. Intell. Syst. 2022, 31, 55–69. [Google Scholar] [CrossRef]
- Alop, A. The main challenges and barriers to the successful “smart shipping”. TransNav Int. J. Mar. Navig. Saf. Sea Transp. 2019, 13, 521–528. [Google Scholar] [CrossRef]
- Ben Farah, M.A.; Ukwandu, E.; Hindy, H.; Brosset, D.; Bures, M.; Andonovic, I.; Bellekens, X. Cyber security in the maritime industry: A systematic survey of recent advances and future trends. Information 2022, 13, 22. [Google Scholar] [CrossRef]
- Braidotti, L.; Mazzarino, M.; Cociancich, M.; Bucci, V. On the Automation of Ports and Logistics Chains in the Adriatic Region. In International Conference on Computational Science and Its Applications; Springer: Cham, Switzerland, 2020; pp. 96–111. [Google Scholar]
- Camarero Orive, A.; González-Cancelas, N.; Vaca Cabrero, J.; Parra Santiago, J.I. Use of a Delphi Panel to Determine the Degree of Implementation of Blue Economy in Spanish Ports. J. Mar. Sci. Eng. 2022, 10, 1573. [Google Scholar] [CrossRef]
- Chang, Y.; Iakovou, E.; Shi, W. Blockchain in global supply chains and cross border trade: A critical synthesis of the state-of-the-art, challenges and opportunities. Int. J. Prod. Res. 2020, 58, 2082–2099. [Google Scholar] [CrossRef] [Green Version]
- Cil, A.Y.; Abdurahman, D.; Cil, I. Internet of Things enabled real time cold chain monitoring in a container port. J. Shipp. Trade 2022, 7, 9. [Google Scholar] [CrossRef]
- De la Peña Zarzuelo, I. Cybersecurity in ports and maritime industry: Reasons for raising awareness on this issue. Transp. Policy 2021, 100, 1–4. [Google Scholar] [CrossRef]
- Frost & Sullivan. Supporting Business Finland to Drive Exports by Improving Its Insight on Trends: Smart Ports. 2019. Available online: https://www.businessfinland.fi/49e303/globalassets/finnish-customers/02-build-your-network/digitalization/smart-mobility/191211---fs---smart-ports-final-report.pdf (accessed on 18 November 2022).
- Heilig, L.; Schwarze, S.; Voß, S. An Analysis of Digital Transformation in the History and Future of Modern Ports. In Proceedings of the 50th Hawaii International Conference on System Sciences, Waikoloa Village, HI, USA, 4–7 January 2017. [Google Scholar] [CrossRef]
- Heilig, L.; Lalla-Ruiz, E.; Voß, S. port-IO: An integrative mobile cloud platform for real-time inter-terminal truck routing optimization. Flex. Serv. Manuf. J. 2017, 29, 504–534. [Google Scholar] [CrossRef]
- Hua, C.; Chen, J.; Wan, Z.; Xu, L.; Bai, Y.; Zheng, T.; Fei, Y. Evaluation and governance of green development practice of port: A sea port case of China. J. Clean. Prod. 2020, 249, 119434. [Google Scholar] [CrossRef]
- Jensen, L. Liner Shipping 2025: How to Survive and Thrive; Vespucci Maritime Publishing: Copenhagen, Denmark, 2017. [Google Scholar]
- Lind, M.; Lehmacher, W.; Haraldson, S.; Fu, X.; Zuesongdham, P.; Huesmann, R.; Fich, S. Smart ports as lighthouse nodes of supply chain networks. Port Technology. 2020. Edition 104. Technical Paper. Available online: https://www.porttechnology.org/technical-papers/smart-ports-as-lighthouse-nodes-of-supply-chain-networks/ (accessed on 18 November 2022).
- Montesinos, M.; de la Guia, J.G. Smart Port—A System of Systems Approach. Port Technology. 2016. Edition 69. Technical Paper. Available online: https://www.porttechnology.org/technical-papers/smart_port_a_system_of_systems_approach/ (accessed on 18 November 2022).
- Notteboom, T. The European container port scene 2019 and outlook for 2020. Port Technol. Int. 2019, 92, 8–10. Available online: https://www.porttechnology.org/wp-content/uploads/2019/12/NOTTEBOOM.pdf (accessed on 18 November 2022).
- Rodrigo González, A.; González-Cancelas, N.; Molina Serrano, B.; Orive, A.C. Preparation of a Smart Port Indicator and Calculation of a Ranking for the Spanish Port System. Logistics 2020, 4, 9. [Google Scholar] [CrossRef]
- Wang, K.; Hu, Q.; Zhou, M.; Zun, Z.; Qian, X. Multi-aspect applications and development challenges of digital twin-driven management in global smart ports. Case Stud. Transp. Policy 2021, 9, 1298–1312. [Google Scholar] [CrossRef]
- Wang, P.; Mileski, J.P.; Zeng, Q. Alignments between strategic content and process structure: The case of container terminal service process automation. Marit. Econ. Logist. 2019, 21, 543–558. [Google Scholar] [CrossRef]
- Yau, K.L.A.; Peng, S.; Qadir, J.; Low, Y.C.; Ling, M.H. Towards Smart Port Infrastructures: Enhancing Port Activities Using Information and Communications Technology. IEEE Access 2020, 8, 83387–83404. [Google Scholar] [CrossRef]
- Zhou, C.; Ma, N.; Cao, X.; Lee, L.H.; Chew, E.P. Classification and literature review on the integration of simulation and optimization in maritime logistics studies. IISE Trans. 2021, 53, 1157–1176. [Google Scholar] [CrossRef]
- Zhang, X.; Zeng, Q.; Yang, Z. Optimization of truck appointments in container terminals. Marit. Econ. Logist. 2019, 21, 125–145. [Google Scholar] [CrossRef]
- Giusti, R.; Manerba, D.; Bruno, G.; Tadei, R. Synchromodal logistics: An overview of critical success factors, enabling technologies, and open research issues. Transp. Res. Part E Logist. Transp. Rev. 2019, 129, 92–110. [Google Scholar] [CrossRef]
- ENISA. Port Cybersecurity. Good Practices for Cybersecurity in the Maritime Sector, European Union Agency for Cybersecurity (ENISA). 2019. Available online: https://www.enisa.europa.eu/publications/port-cybersecurity-good-practices-for-cybersecurity-in-the-maritime-sector (accessed on 18 November 2022).
- Iris, Ç.; Lam, J.S.L. A review of energy efficiency in ports: Operational strategies, technologies and energy management systems. Renew. Sustain. Energy Rev. 2019, 112, 170–182. [Google Scholar] [CrossRef]
- Chen, G.; Govindan, K.; Golias, M. Reducing truck emissions at container terminals in a low carbon economy: Proposal of a queueing-based bi-objective model for optimizing truck arrival pattern. Transp. Res E Logist Transp. Rev 2013, 55, 3–22. [Google Scholar] [CrossRef]
- Dong, C.; Boute, R.; McKinnon, A.; Verelst, M. Investigating synchromodality from a supply chain perspective. Transp. Res. Part D Transp. Environ. 2018, 61, 42–57. [Google Scholar] [CrossRef]
- Beškovnik, B.; Bajec, P. Strategies and approach for smart city–port ecosystems development supported by the internet of things. Transport 2021, 36, 433–443. [Google Scholar] [CrossRef]
Port | Volume 2020 Million TEU | |
---|---|---|
Antwerp, Belgium | 12.04 | Top 2 Container port in Europe; city-owned port authority promotes smart port activities and port as an innovation platform for new technologies. Terminal operators: PSA, DP World, both with joint ventures. |
Barcelona, Spain | 3.50 | Fast growing port in Europe; government-managed port authority promotes smart port. Terminal operators: APM Terminals, Hutchison. |
Felixstowe, UK | 3.78 | Top 8 Container port in Europe; privately operated port authority and terminal operator Hutchison has a smart port strategy. |
Gothenburg, Sweden | 0.76 | Largest container port in Scandinavia; city-owned port authority’s main values are co-operation, sustainability, innovation and reliability. Terminal operators: APM Terminals. |
Hamburg, Germany | 8.70 | Top 3 Container port in Europe; port authority promotes smart port philosophy and has started a smartPORT project focusing on logistics and energy. Terminal operators: HHLA, Eurogate. |
Hong Kong, China | 17.95 | Top 8 Container port in the world; port is governed by the local government but does not have traditional port authority. Most of the port facilities are privately owned and operated. The Port of Hong Kong refers mostly to a group of independent terminals operating under Hong Kong Special Administrative Region’s governance. In 2021, governmental authorities formed a task force to trigger a drive toward a smart, green port, although the task force is not equal to port authority. Terminals operators: Modern Terminals, Hongkong International Terminals (HIT), COSCO-HIT Terminals), Goodman DP World and Asia Container Terminals. |
Rotterdam, Netherlands | 14.35 | Top 1 Container port in Europe; city- and partly state-owned port authority. Well-known smart port, first in the world to have successfully developed an unmanned automated terminal and unmanned crane quay. Terminal operators: APM Terminals, RWG (joint venture including DP World, ECT-Hutchison). |
Shanghai, China | 43.50 | World Top 1 Container port; the world’s largest automated container terminal; government-lead smart port development; port authority Shanghai International Port Group is owned by Shanghai government and it also the exclusive operator of all the public terminals. It will develop a new port and container terminal at the Yangshan Port. |
Shenzhen, China | 26.55 | Top 4 Container port in the world; Port of Shenzhen is a group of ports and terminals along the coastline of Shenzhen. The local administration is in charge of port planning and policies, whereas local port corporations are responsible for the construction and operation of port facilities, as well as have partly the role as port authority. Regulatory authority is national. Terminals are mix of private and joint ventures between local state-owned port corporations and private companies. Yantian International Container Terminal is the biggest and operated by Hutchison. China Merchants Group, a state-owned corporation, is developing three other port terminals, of which Mawan intelligent port is one. |
Singapore, Singapore | 36.60 | Top 2 Container port in the world; government-led port authority MPA and terminal operator PSA inaugurated the first phase of the new Tuas port in Sept 2022 which is planned to become world’s largest fully automated port. |
Category | Innovation Activity | Antwerp | Barcelona | Felixstowe | Gothenburg | Hamburg | Hong Kong | Rotterdam | Shanghai | Shenzhen | Singapore | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Automation | Terminal Operations | Equipment remote operations | AT | T | T | AT | T | AT | ||||
Terminal automation | T | T | T | T | T | AT | T | AT | ||||
Container yard and handling optimization | T | T | AT | T | AT | |||||||
Seaside Traffic Optimization | Automated mooring/seaside equipment | A | ||||||||||
New sensor data | A | A | A | A | AT | AT | ||||||
Port call data sharing platform | A | A | AT | A | AT | T | AT | AT | T | AT | ||
Advanced Traffic Management (IoT, predictive analytics) | A | AT | T | A | T | AT | ||||||
Hinterland Traffic Optimization | Digital customs process | A | A | T | A | AT | AT | AT | AT | |||
Vehicle booking system/ETA estimates | T | A | AT | T | T | AT | AT | T | AT | |||
Automated gates | T | T | T | T | T | AT | T | AT | ||||
Intermodal route planning tool | A | AT | T | AT | AT | |||||||
Safety and Cybersecurity | Cargo release/cargo quality process (e.g., blockchain) | A | AT | T | A | AT | T | AT | ||||
Cybersecurity top positions or projects | A | A | AT | |||||||||
Sustainability | Energy | Onshore power for ships | A | A | A | A | A | AT | T | |||
Solar power installations | A | T | AT | T | A | T | A | AT | T | |||
Wind power | A | T | A | |||||||||
Hybrid, electric or fossil-free fuel terminal equipment | T | T | AT | T | T | T | T | AT | T | AT | ||
Other | Sustainability certificates/qualifications | A | AT | A | T | T | AT | T | T | |||
Air quality sensor | A | A | AT | A | A | T | A | AT | T | |||
Collaboration | Co-Creation and Innovation Services towards stakeholders | Innovation Funding | A | T | A | AT | ||||||
Innovation Ecosystem Programs | A | A | AT | A | A | T | AT | |||||
Different organizations’ platform integration/Data sharing APIs | A | AT | AT | T | A | AT | T | AT | ||||
Container Tracking Systems | AT | AT | AT | T | T | T | AT | AT | T | AT | ||
Container monitoring equipment | T | T | A | AT | T | AT | ||||||
Hackathons/Innovation challenges | AT | A | T | AT | AT | |||||||
Technology Pilots and tests | 5G | A | AT | AT | A | T | A | AT | T | AT | ||
Blockchain | A | A | T | A | T | AT | AT | T | AT | |||
AI/machine learning | T | T | A | T | AT | |||||||
Carbon capture | A | A | A | AT | ||||||||
Digital twin/IoT platform | A | A | T | A | AT | T | AT | |||||
Hyperloop | T | A | ||||||||||
Hydrogen | A | A | A | AT | A | |||||||
Autonomous vessels | A | A | A | AT | ||||||||
Autonomous trucks | AT | T | T | T | A | AT | AT | |||||
Drones | A | A | A | T | AT | |||||||
3D metal printing | T | A | AT |
Name | Fragmented Innovation | Port Ecosystem | Logistic Chain Alliance | Global Closed Platforms |
---|---|---|---|---|
Led by | No clear leader. Every organization does this for itself and mainly keeps the development under their own control | Port authority primarily | Shipping line | Large player outside maritime industry such as Amazon, Alibaba or other high-volume cargo owner |
Rationale | Aims at cost reduction | Aims at fulfilling local political and social objectives | Aims at improving efficiency of sea logistics with larger volumes and better global coverage | Aim at predictable door-to-door deliveries |
Collaboration | Collaboration is superficial and opportunistic. Terminals and other actors in ports are striving to develop their own processes | Active collaboration within the port community, city and companies nearby | Shipping line creates stronger alliances with terminals, and increasingly with inland logistics companies | Collaborate with own terminal or with selected contracted terminals |
Sustainability | Meets the requirements of the local laws | High incentives to improve due to political and social demands | Meets the requirements of the local laws. Most activities focus on improving energy efficiency of sea voyage | Two diverse outcomes are possible: Ports are selected so that they (a) minimize the sustainability requirements, or (b) meet the potentially increasing sustainability demands set by customers |
Automation | Focus on digitalization of company internal processes. Port 4.0 development leads towards group of intelligent, but loosely connected systems | Focus on collaborative ICT between the parties. Port 4.0 development leads towards integrated operations and shared data | Focus on digitalization of the port–ship–port operations. Port 4.0 development leads towards open solutions and platforms for sharing data on cargo | Focus on the exchange nodes within the logistics chain, improving their predictability. Development towards own closed, tightly controlled and optimized logistic pipes and systems |
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Heikkilä, M.; Saarni, J.; Saurama, A. Innovation in Smart Ports: Future Directions of Digitalization in Container Ports. J. Mar. Sci. Eng. 2022, 10, 1925. https://doi.org/10.3390/jmse10121925
Heikkilä M, Saarni J, Saurama A. Innovation in Smart Ports: Future Directions of Digitalization in Container Ports. Journal of Marine Science and Engineering. 2022; 10(12):1925. https://doi.org/10.3390/jmse10121925
Chicago/Turabian StyleHeikkilä, Marikka, Jouni Saarni, and Antti Saurama. 2022. "Innovation in Smart Ports: Future Directions of Digitalization in Container Ports" Journal of Marine Science and Engineering 10, no. 12: 1925. https://doi.org/10.3390/jmse10121925
APA StyleHeikkilä, M., Saarni, J., & Saurama, A. (2022). Innovation in Smart Ports: Future Directions of Digitalization in Container Ports. Journal of Marine Science and Engineering, 10(12), 1925. https://doi.org/10.3390/jmse10121925