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Information systems in seaports: a categorization and overview

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Abstract

Information systems have become indispensable to the competitiveness of ports, facilitating communication and decision making for enhancing the visibility, efficiency, reliability, and security in port operations under various conditions. Providing value-added information services and analytics is increasingly important to maintain a competitive edge and to fulfill regulatory requirements. Consequently, it is necessary to survey current information systems both from an academic and practical standpoint. In this paper, we present a classification and a comprehensive survey of information systems and related information technologies applied in ports. As such, the paper provides a state-of-the-art information-centric view on port operations and aims to bridge the gap between industry solutions and academic works.

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(adopted from [100], copyright: A. Wallace, Port of London Authority)

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(source: adopted from [51], copyright: HHLA)

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(source/copyright: adopted from Terex Port Solutions [127])

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(source: adopted from [47], copyright: HPA)

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Notes

  1. See, e.g., EU-Directive 2010/65/EU on reporting formalities for ships arriving in and/or departing from ports.

  2. That is, the role of IT/IS is to efficiently maintain current business processes and to facilitate business innovations to gain competitive advantages.

  3. The EU programme Horizon 2020, for example, is funding research for developing the Port of the Future.

  4. See, e.g., Maritime Hackathon 2016 in the Port of Hamburg (http://maritimehackathon.com) for the latest edition of such an event.

  5. In 2016, for example, such an international port network has been founded by the ports of Antwerp, Busan, Felixstowe, Hamburg, Los Angeles, Shenzhen, and Singapore [142].

  6. In 2013, for instance, a research team of the University of Texas-Austin demonstrated how GPS signales can be manipulated to take the control of ships; see https://www.youtube.com/watch?v=uR0t3SUnO1Q.

  7. EDI message specifications for the maritime industry are developed and promoted by the User Group for Shipping Lines and Container Terminals (SMDG). Specific EDI documentation within ports and related practical settings can be found, e.g., at www.dakosy.de.

  8. Basically, three types of techniques are used to coordinate data processing: Space Division Multiple Access (SDMA), Frequency Division Multiple Access (FDMA), and Time Division Multiple Access (TDMA) [54].

  9. RFID tags must comply with ISO (International Standards Organization) and/or EPC (Electronic Product Code) standards.

  10. For a manual check of a container seal, the examiner has to record the unique seal number, indicate an eventual tampering, and report the time when the seal had been opened and closed (e.g., during customs procedures).

  11. The seal number is a combination of the RFID tag number and its manufacturer number.

  12. The BIC (Bureau International des Containers) code should not be confused with the ISO 9362 standard code used for payment transactions.

  13. The rail wagon numbering system has been created by the International Union of Railways (Union Internationale des Chemins de Fer - UIC).

  14. Several terms for these systems exist, such as automatic licence-plate recognition (ALPR) and licence-plate recognition (LPR). To be differentiated from this are automatic vehicle identification (AVI) systems, which use optical, microwave, or radio-frequency technologies to exchange data based on a transponder and interrogator.

  15. See, e.g., http://www.conductix.com.

  16. See https://www.inttra.com.

  17. Abbr. International Maritime Organization.

  18. See http://www.protect-group.org.

  19. The Customs 2020 programme, for example, supports national customs administrations to build up expertise and develop future electronic customs systems.

  20. Abbr. elektronisches Verwaltungsdokument (engl. electronic administration document).

  21. Several other organizational measures have been implemented to regulate sea traffic including traffic separation schemes (TSS) and IMO regulations for preventing collision at sea.

  22. See, e.g., http://blog.orbcomm.com/ais-new-og2-satellites-enable-near-real-time-vessel-monitoring.

  23. In 2007, for instance, the Port of London Authority introduced Thames AIS as a key safety tool supporting the navigation of vessels on the River Thames and transmitting safety critical information to the London VTS [101].

  24. Note that the use of information systems on board of the vessel, such as ECDIS (electronic chart display and information system), are not directly affected. However, the use of mobile apps might improve the communication between vessel operators and the port, in particular to deliver additional, more accurate information and assistance.

  25. In 2016, for example, one of the worldwide largest container ships, the CSCL Indian Ocean, grounded on the river Elbe due to a failure in the navigation system, which resulted in severe restrictions in the overall port operations for several days.

  26. See, e.g., http://navis.com/news/in-news/navis-launches-xvela.

  27. See, e.g., http://www.rbs-emea.com/wp-content/uploads/2016/06/TOPS_Expert_Cloud.

  28. See, e.g., https://www.kalmarglobal.com/services/kalmar-insight.

  29. The specifications of GSM-R are available at http://www.uic.org/spip.php?rubrique874.

  30. Meta-analytics aims to unify metaheuristics and analytics by applying both optimization and machine learning tools, which may benefit from one another, in order to better address practical applications.

References

  1. Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: a survey. Comput Netw 38(4):393–422

    Article  Google Scholar 

  2. Amundson I, Koutsoukos XD (2009) A survey on localization for mobile wireless sensor networks. Mobile entity localization and tracking in GPS-less environments. Springer, Berlin, pp 235–254

    Chapter  Google Scholar 

  3. Ashbrook D, Starner T (2003) Using GPS to learn significant locations and predict movement across multiple users. Pers Ubiquitous Comput 7(5):275–286

    Article  Google Scholar 

  4. Ayaz M, Baig I, Abdullah A, Faye I (2011) A survey on routing techniques in underwater wireless sensor networks. J Netw Comput Appl 34(6):1908–1927

    Article  Google Scholar 

  5. Bao Q (2010) Cargo shipment tags: making transport more transparent, efficient and safe. ISO Focus+ 1(4):29–30

  6. Barletta GL, Bichou K (2007) Planning and implementing RFID technologies to enhance security in port operations. In: Bichou K, Bell MGH, Evans A (eds) Risk management in port operations, logistics and supply chain security. Informa, London, pp 63–82

    Google Scholar 

  7. Baron ML, Mathieu H (2013) PCS interoperability in Europe: a market for PCS operators? Int J Logist Manag 24(1):117–129

    Article  Google Scholar 

  8. Baronti P, Pillai P, Chook VW, Chessa S, Gotta A, Hu YF (2007) Wireless sensor networks: a survey on the state of the art and the 802.15.4 and ZigBee standards. Comput Commun 30(7):1655–1695

    Article  Google Scholar 

  9. Böse JW (ed) (2011) Handbook of terminal planning, operations research/computer science interfaces series, vol 49. Springer, New York

    Google Scholar 

  10. Bourquin S, Hortsing D, Johnston B (2009) Intelligent area lightingsystem. Google Patents, WO 2009003279:A1

    Google Scholar 

  11. Carlan V, Sys C, Vanelslander T (2016) How port community systems can contribute to port competitiveness: developing a cost-benefit framework. Res Transp Bus Manag 19:51–64

    Article  Google Scholar 

  12. Chao SL, Lin YL (2010) Applying fuzzy AHP to select an automatic container number identification system in port terminals. In: Proceedings of the 8th international conference on supply chain management and information systems (SCMIS), pp 1–7. IEEE

  13. Chen JV, Yen DC, Chen K (2009) The acceptance and diffusion of the innovative smart phone use: a case study of a delivery service company in logistics. Inf Manag 46(4):241–248

    Article  Google Scholar 

  14. Choi HR, Kim HS, Park BJ, Park NK, Lee SW (2003) An ERP approach for container terminal operating systems. Marit Policy Manag 30(3):197–210

    Article  Google Scholar 

  15. Choi HR, Park BJ, Shin JJ, Park NK (2007) Development of non-stop automated gate system. In: Proceedings of the 11th WSEAS international conference on systems, pp 259–265

  16. CMA CGM: Toll charges for containers other cargoes passing through Nhava Sheva Port eff 01st May 2016 (2016). https://www.cma-cgm.com/local/india/news/289/toll-charges-for-containers-other-cargoes-passing-through-nhava-sheva-port-eff-01st-may-2016

  17. Mondragon Coronado AE, Lalwani CS, Coronado Mondragon ES, Coronado Mondragon CE, Pawar KS (2012) Intelligent transport systems in multimodal logistics: a case of role and contribution through wireless vehicular networks in a sea port location. Int J Prod Econ 137:165–175

    Article  Google Scholar 

  18. DAKOSY: Neue Truck-App für die schnelle Terminal-Anmeldung (2014). http://www.dakosy.de/presse/pressemitteilungen/presse-detailansicht/artikel/neue-truck-app-fuer-die-schnelle-terminal-anmeldung/

  19. Daniel JI, Bekka K (2000) The environmental impact of highway congestion pricing. J Urban Econ 47(2):180–215

    Article  Google Scholar 

  20. Dargie W, Poellabauer C (2010) Fundamentals of wireless sensor networks: theory and practice. Wiley, Chichester

    Book  Google Scholar 

  21. Diaz MF (2003) Port community system: a key component of the future vision for cargo and port security. Gov Supply Chain 1(3):28–29

    Google Scholar 

  22. Dontharaju S, Tung S, Hoare RR, Cain JT, Mickle MH, Jones AK (2008) Design automation for RFID tags and systems. In: Ahson S, Ilyas M (eds) RFID handbook: applications technology, security, and privacy. CRC Press, Boca Raton, pp 35–64

    Google Scholar 

  23. Elovic P (2003) Implementation of gate and crane OCR systems for container terminal automation and security. In: Proceedings of terminal operations conference ASIA (TOC ASIA), pp 1–7

  24. Erasmus University: SmartPort (2014) http://www.erim.eur.nl/research/centres/smart-port/

  25. Ergen E, Akinci B, Sacks R (2007) Tracking and locating components in a precast storage yard utilizing radio frequency identification technology and GPS. Autom Constr 16(3):354–367

    Article  Google Scholar 

  26. Ergen SC (2007) ZigBee/IEEE 802.15.4 summary. http://home.iitj.ac.in/~ramana/zigbee

  27. Eriksen T, Hoye G, Narheim B, Meland BJ (2006) Maritime traffic monitoring using a space-based AIS receiver. Acta Astronaut 58(10):537–549

    Article  Google Scholar 

  28. Commission European (2011) Intelligent transport systems in action: action plan and legal framework for the deployment of intelligenttransport systems (ITS) in Europe. Tech. rep, European Commission, Directorate-General for Mobility and Transport

    Google Scholar 

  29. European Port Community Systems Association (EPCSA): how to develop a port community system (2011). http://www.epcsa.eu/port-community-systems/pcs-services

  30. European Rail Industry: ERTMS in brief (2015). http://www.ertms.net/?page_id=40

  31. Fan Y, Schwartz F, Voß S (2016) Flexible supply chain planning based on variable transportation modes. Int J Prod Econ. doi:10.1016/j.ijpe.2016.08.020

  32. Fang X, Misra S, Xue G, Yang D (2012) Smart grid–the new and improved power grid: a survey. IEEE Commun Surv Tutor 14(4):944–980

    Article  Google Scholar 

  33. Favenza A, Rossi C, Pasin M, Dominici F (2014) A cloud-based approach to GNSS augmentation for navigation services. In: Proceedings of the 7th IEEE/ACM international conference on utility and cloud computing (UCC), pp 489–490. IEEE

  34. Federal Ministry of Finance: movement of excise goods under duty suspension (2015) http://www.zoll.de/EN/Businesses/Movement-of-goods/Movement-of-goods-within-the-EU/Procedures/Movement-of-excise-goods-under-duty-suspension/movement-of-excise-goods-under-duty-suspension_node.html

  35. Fernández P, Santana JM, Ortega S, Trujillo A, Suárez JP, Domínguez C, Santana J, Sánchez A (2016) SmartPort: a platform for sensor data monitoring in a seaport based on FIWARE. Sensors 16(3):417–441

    Article  Google Scholar 

  36. Filipowicz W (2004) Vessel traffic control problems. J Navig 57(1):15–24

    Google Scholar 

  37. Finkenzeller K (2010) Fundamentals and applications in contactless smart cards, radio frequency identification and near-field communication, 3rd edn. Wiley, Chichester

    Google Scholar 

  38. Garstone S (1995) Electronic data interchange (EDI) in port operations. Logist Inf Manag 8(2):30–33

    Article  Google Scholar 

  39. Gaukler GM, Seifert RW (2007) Applications of RFID in supply chains. In: Jung H, Jeong B, Chen FF (eds) Trends in supply chain design and management. Springer, New York, pp 29–48

    Chapter  Google Scholar 

  40. Ginsberg ML, Austin MM, Chang PA, Mattison SC (2009) Traffic routing using intelligent traffic signals, GPS and mobile data devices. Google Patents, US Patent App. 12/639,770

  41. Giuliano G, O’Brien T (2007) Reducing port-related truck emissions: the terminal gate appointment system at the ports of Los Angeles and Long Beach. Transp Res Part D Transp Environ 12(7):460–473

    Article  Google Scholar 

  42. Goccia M, Bruzzo M, Scagliola C, Dellepiane S (2003) Recognition of container code characters through gray-level feature extraction and gradient-based classifier optimization. In: Proceedings of the 12th international conference on document analysis and recognition (ICDAR), pp 973–973. IEEE

  43. Goodchild A, Mohan K (2008) The clean trucks program: evaluation of policy impacts on marine terminal operations. Marit Econ Logist 10:393–408

    Article  Google Scholar 

  44. Gordon JR, Lee PM, Lucas HC (2005) A resource-based view of competitive advantage at the Port of Singapore. J Strateg Inf Syst 14(1):69–86

    Article  Google Scholar 

  45. Guan CQ, Liu RR (2009) Modeling gate congestion of marine container terminals, truck waiting cost, and optimization. Transp Res Rec J Transp Res Board 2100(1):58–67

    Article  Google Scholar 

  46. Hamburg Port Authority (HPA): Infrastruktur. Tech. rep., Hamburg Port Authority (2014). http://www.hamburg-portauthority.de/de/smartport/logistics/infrastruktur/Seiten/default.aspx

  47. Hamburg Port Authority (HPA): port of Hamburg—digital gateway to the world. Tech. rep., Hamburg Port Authority (2014)

  48. Hamburg Port Authority (HPA): smartPORT logistics (2014). http://www.hamburg-port-authority.de/en/smartport/logistics/

  49. Hamburg Port Authority (HPA): system to depict an integrated traffic situation—effective depiction of the traffic situation (EVE) in the Port of Hamburg (2014). http://www.hamburg-port-authority.de/en/smartport/logistics/traffic-flows/Seiten/default.aspx

  50. Hamburg Port Authority (HPA): transPORT rail (2015). http://www.hamburg-port-authority.de/en/port-customers/port-railway

  51. Hamburger Hafen und Logistik AG (HHLA): HHLA launches first self-service terminal (2011). http://hhla.de/en/press-releases/overview/2011/07/hhla-launches-first-self-service-terminal.html

  52. Hamburger Hafen und Logistik AG (HHLA): PRISE optimises sequencing and arrival of mega-ships on the river Elbe and at the Port of Hamburg (2014). http://hhla.de/en/press-releases/overview/2014/03/it-platform-optimises-harbour-processes.html

  53. Harder FC, Voß S (2012) A simple RFID cost model for the container shipping industry. Int J Shipp Transp Logist 4(2):172–181

    Article  Google Scholar 

  54. Hassan T, Chatterjee S (2006) A taxonomy for RFID. In: Proceedings of the 39th annual Hawaii international conference on system sciences (HICSS), pp 1–10. IEEE

  55. Heilig L, Lalla-Ruiz E, Voß S (2016) port-IO: a mobile cloud platform supporting context-aware inter-terminal truck routing. In: Proceedings of the 24th European conference on information systems (ECIS)

  56. Heilig L, Schwarze S, Voß S (2017) An analysis of digital transformation in the history and future of modern ports. In: Proceedings of the 50th Hawaii international conference on system sciences (HICSS) (in press). IEEE

  57. Heilig L, Voß S (2014) A cloud-based SOA for enhancing information exchange and decision support in ITT operations. Lect Notes Comput Sci 8760:112–131

    Article  Google Scholar 

  58. Heilig L, Voß S (2014) A scientometric analysis of cloud computing literature. IEEE Trans Cloud Comput 2(3):266–278

    Article  Google Scholar 

  59. Heilig L, Voß S (2017) Port-centric information management in smart ports: a framework and categorization. In: Geerlings H, Kuipers B, Zuidwijk R (eds) Ports and networks: strategies, operations and perspective. Routledge (to appear)

  60. Hill CA, Scudder GD (2002) The use of electronic data interchange for supply chain coordination in the food industry. J Oper Manag 20(4):375–387

    Article  Google Scholar 

  61. Hintsa J, Männistö T, Urciuoli L, Granqvist M (2012) Future development of e-Customs: a survey study with Swiss companies. Int J Elect Govern Res 8(4):1–13

    Article  Google Scholar 

  62. Hoogeweegen MR, Streng RJ, Wagenaar RW (1998) A comprehensive approach to assess the value of EDI. Inf Manag 34(3):117–127

    Article  Google Scholar 

  63. Hu Q, Yong J, Shi C, Chen G (2010) Evaluation of main traffic congestion degree for restricted waters with AIS reports. Int J Marit Navig Saf Sea Transp 4(1):55–58

    Google Scholar 

  64. Huynh N, Walton C (2008) Robust scheduling of truck arrivals at marine container terminals. J Transp Eng 134(8):347–353

    Article  Google Scholar 

  65. International Port Community Systems Association (IPCSA): port community systems (2014). http://ipcsa.international/pcs

  66. Ioannou P (2006) Cooperative time window generation for cargodelivery/pick up with application to container terminals. Tech.rep, METRANS Transportation Center

    Google Scholar 

  67. Ioannou PA, Jula H, Liu CI, Vukadinovic K, Pourmohammadi H, Dougherty E (2000) Advanced material handling: automated guided vehicles in agile ports. Tech. rep., Center for advanced transportation technologies, Univ. Southern California, Los Angeles

  68. Islam S, Olsen T, Daud Ahmed M (2013) Reengineering the seaport container truck hauling process: Reducing empty slot trips for transport capacity improvement. Bus Process Manag J 19(5):752–782

    Article  Google Scholar 

  69. Jarašūnienė A (2007) Research into intelligent transport systems (ITS) technologies and efficiency. Transport 22(2):61–67

    Google Scholar 

  70. Jeong SH, Lee HJ, Lee JS, Oh CH (2006) Performance analysis of location estimation algorithm using an intelligent coordination scheme in RTLS. In: Gabrys B, Howlett RJ, Jain LC (eds) Knowledge-based intelligent information and engineering systems. Springer, Berlin, pp 829–835

    Chapter  Google Scholar 

  71. Jiang B, Yao X (2006) Location-based services and GIS in perspective. Comput Environ Urban Syst 30(6):712–725

    Article  Google Scholar 

  72. Keceli Y (2011) A proposed innovation strategy for Turkish port administration policy via information technology. Marit Policy Manag 38(2):151–167

    Article  Google Scholar 

  73. Keceli Y, Choi HR, Cha YS, Aydogdu YV (2008) A study on adoption of port community systems according to organization size. In: Proceedings of the 3rd international conference on convergence and hybrid information technology (ICCIT), pp 493–501. IEEE

  74. Lai KH, Wong CW, Cheng T (2008) A coordination-theoretic investigation of the impact of electronic integration on logistics performance. Inf Manag 45(1):10–20

    Article  Google Scholar 

  75. Lalla-Ruiz E, Shi X, Voß S (2016) The waterway ship scheduling problem. Transp Res Part D. doi:10.1016/j.trd.2016.09.013

  76. Lee SY, Cho GS (2007) A simulation study for the operations analysis of dynamic planning in container terminals considering RTLS. In: Proceedings of the 2nd international conference on innovative computing, information and control (ICICIC), pp 116–119. IEEE

  77. Lee-Partridge JE, Teo TS, Lim VK (2000) Information technology management: the case of the Port of Singapore Authority. J Strateg Inf Syst 9(1):85–99

    Article  Google Scholar 

  78. Lin B, Huang CH (2006) Comparison between ARPA radar and AIS characteristics for vessel traffic services. J Mar Sci Technol 14(3):182–189

    Google Scholar 

  79. Lokuge P, Alahakoon D (2007) Improving the adaptability in automated vessel scheduling in container ports using intelligent software agents. Eur J Oper Res 177(3):1985–2015

    Article  Google Scholar 

  80. Long DC (2004) International logistics: global supply chain management, 2nd edn. Kluwer, Dordrecht

    Google Scholar 

  81. Lynch WD (1982) Vessel traffic services. Master thesis, University of Rhode Island

  82. Ma X, Liu T (2011) The application of Wi-Fi RTLS in automatic warehouse management system. In: Proceedings of the IEEE international conference on automation and logistics (ICAL), pp 64–69. IEEE

  83. Maples TB (2011) Wireless ad hoc sensor networks for port security. METRANS Transportation Center, California StateUniversity, Tech. rep

    Google Scholar 

  84. McGinley K (2014) Preparing port container terminals for the future: making the most of intelligent transport systems (ITS). Urban Transp XX 138:419–427

    Article  Google Scholar 

  85. Michael K, McCathie L (2005) The pros and cons of RFID in supply chain management. In: Proceedings of the international conference on mobile business (ICMB), pp 623–629. IEEE

  86. Morais P, Lord E (2006) Terminal appointment system study. Tech.rep, Roche Ltée, Groupe-conseil and Levelton Consultants

    Google Scholar 

  87. Mori S, Suen CY, Yamamoto K (1992) Historical review of OCR research and development. Proc IEEE 80(7):1029–1058

    Article  Google Scholar 

  88. Mullot R, Olivier C, Bourdon JL, Courtellemont P, Labiche J, Lecourtier Y (1991) Automatic extraction methods of container identity number and registration plates of cars. In: Proceedings of the international conference on industrial electronics, control and instrumentation (IECON), pp 1739–1744. IEEE

  89. Murty KG, Wan Y-W, Liu J, Tseng MM, Leung E, Lai K-K, Chiu HWC (2005) Hongkong International Terminals gains elastic capacity using a data-intensive decision-support system. Interfaces 35(1):61–75

    Article  Google Scholar 

  90. Namboothiri R, Erera AL (2008) Planning local container drayage operations given a port access appointment system. Transp Res Part E Logist Transp Rev 44(2):185–202

    Article  Google Scholar 

  91. Narzullaev A, Park Y, Yoo K, Yu J (2011) A fast and accurate calibration algorithm for real-time locating systems based on the received signal strength indication. AEU Int J Electron Commun 65(4):305–311

    Article  Google Scholar 

  92. Navis: Navis SPARCS N4—the industry standard terminal operating system (2014). http://navis.com/solutions/container/sparcs-n4

  93. Nayak A, Stojmenovic I (eds) (2010) Wireless sensor and actuator networks. Wiley, Hoboken

    Google Scholar 

  94. Neo BS (1994) Managing new information technologies: lessons from Singapore’s experience with EDI. Inf Manag 26(6):317–326

    Article  Google Scholar 

  95. Ngai E, Li CL, Cheng T, Lun YV, Lai KH, Cao J, Lee M (2011) Design and development of an intelligent context-aware decision support system for real-time monitoring of container terminal operations. Int J Prod Res 49(12):3501–3526

    Article  Google Scholar 

  96. Notteboom TE (2006) The time factor in liner shipping services. Marit Econ Logist 8(1):19–39

    Article  Google Scholar 

  97. Notteboom TE, Winkelmans W (2001) Structural changes in logistics: how will port authorities face the challenge? Marit Policy Manag 28(1):71–89

    Article  Google Scholar 

  98. Pacciarelli D, D’Ariano A, Scotto M (2011) Applying RFID in warehouse operations of an Italian courier express company. Netnomics 12(3):209–222

    Article  Google Scholar 

  99. Park DJ, Choi YB, Nam KC (2006) RFID-based RTLS for improvement of operation system in container terminals. In: Proceedings of the Asia-Pacific conference on communications (APCC), pp 1–5. IEEE

  100. Port of London Authority (PLA): About London VTS (2014). http://www.pla.co.uk/Safety/About-London-VTS

  101. Port of London Authority (PLA): What is Thames AIS? (2014). http://www.pla.co.uk/Safety/Thames-AIS

  102. Port of Seattle: RFID tags required to enter container terminals (2014). http://www.portseattle.org/Cargo/SeaCargo/Pages/RFID.aspx

  103. Posti A, Häkkinen J, Tapaninen U (2011) Promoting information exchange with a port community system–case Finland. Int Supply Chain Manag Collab Pract 4:455–473

    Google Scholar 

  104. Psaraftis HN, Kontovas CA (2010) Balancing the economic and environmental performance of maritime transportation. Transp Res Part D Transp Environ 15(8):458–462

    Article  Google Scholar 

  105. Raus M, Flügge B, Boutellier R (2009) Electronic customs innovation: an improvement of governmental infrastructures. Gov Inf Q 26(2):246–256

    Article  Google Scholar 

  106. Reiners T, Voß S (2000) Costs and benefits of EDI integrationin supply chains and networks. Technische Universität Braunschweig, Tech. rep

    Google Scholar 

  107. Reynolds JC, Denaro RP, Kalafus RM (1990) GPS-based vessel position monitoring and display system. In: Proceedings of the position location and navigation symposium (PLANS), pp 601–607. IEEE

  108. Rieback MR, Crispo B, Tanenbaum AS (2006) The evolution of RFID security. IEEE Pervasive Comput 5(1):62–69

    Article  Google Scholar 

  109. Rivas MB, Martin-Neira M (2006) Coherent GPS reflections from the sea surface. IEEE Geosci Remote Sens Lett 3(1):28–31

    Article  Google Scholar 

  110. Rodon J, Pastor JA, Sese F, Christiaanse E (2008) Unravelling the dynamics of IOIS implementation: an actor-network study of an IOIS in the seaport of Barcelona. J Inf Technol 23(2):97–108

    Article  Google Scholar 

  111. Sandhu JS, Agogino AM, Agogino AK (2004) Wireless sensor networks for commercial lighting control: Decision making with multi-agent systems. In: Proceedings of the AAAI workshop on sensor networks, pp 131–140

  112. Sarac A, Absi N, Dauzere-Peres S (2010) A literature review on the impact of RFID technologies on supply chain management. Int J Prod Econ 128(1):77–95

    Article  Google Scholar 

  113. Schaefer S (2006) Secure trade lane: a sensor network solution for more predictable and more secure container shipments. In: Companion to the 21st ACM SIGPLAN symposium on object-oriented programming systems, languages, and applications, pp 839–845. ACM

  114. Schäfer RP, Thiessenhusen KU, Wagner P (2002) A traffic information system by means of real-time floating-car data. In: Proceedings of the ITS world congress, pp 1–8

  115. Schulte F, Gonzalez RG, Voß S (2015) Reducing port-related truck emissions: Coordinated truck appointments to reduce empty truck trips. Lect Notes Comput Sci 9335:495–509

    Article  Google Scholar 

  116. Seidelmann C (2007) Developing and implementing global interoperable standards for container security. In: Bichou K, Bell MGH, Evans A (eds) Risk management in port operations, logistics and supply chain security. Informa, London, pp 55–60

    Google Scholar 

  117. Shi X, Tao D, Voß S (2011) RFID technology and its application to port-based container logistics. J Organ Comput Electron Commer 21(4):332–347

    Google Scholar 

  118. Shintani K, Imai A, Nishimura E, Papadimitriou S (2007) The container shipping network design problem with empty container repositioning. Transp Res Part E Logist Transp Rev 43(1):39–59

    Article  Google Scholar 

  119. Simroth A, Zähle H (2011) Travel time prediction using floating car data applied to logistics planning. IEEE Trans Intell Transp Syst 12(1):243–253

    Article  Google Scholar 

  120. Smith LD, Sweeney DC, Campbell JF (2008) Simulation of alternative approaches to relieving congestion at locks in a river transportion system. J Oper Res Soc 60(4):519–533

    Article  Google Scholar 

  121. Song DP, Carter J (2009) Empty container repositioning in liner shipping. Marit Policy Manag 36(4):291–307

    Article  Google Scholar 

  122. Srour FJ, van Oosterhout M, van Baalen P, Zuidwijk R (2008) Port community system implementation: lessons learned from international scan. In: Transportation research board 87th annual meeting

  123. Stahlbock R, Voß S (2008) Operations research at container terminals: a literature update. OR Spectr 30(1):1–52

    Article  Google Scholar 

  124. SteadieSeifi M, Dellaert NP, Nuijten W, Van Woensel T, Raoufi R (2014) Multimodal freight transportation planning: a literature review. Eur J Oper Res 233(1):1–15

    Article  Google Scholar 

  125. Steenken D, Voß S, Stahlbock R (2004) Container terminal operation and operations research–a classification and literature review. OR Spectr 26(1):3–49

    Article  Google Scholar 

  126. Tajima M (2007) Strategic value of RFID in supply chain management. J Purch Supply Manag 13(4):261–273

    Article  Google Scholar 

  127. Terex Port Solutions: automated equipment (2017). http://www.terex.com/port-solutions/en/about-us/news/photo-gallery/automated-equipment/index.htm

  128. Thiers GF, Janssens GK (1998) A port simulation model as a permanent decision instrument. Simulation 71(2):117–125

    Article  Google Scholar 

  129. Tijan E, Kos S, Ogrizović D (2009) Disaster recovery and business continuity in port community systems. Sci J Marit Res 23(1):243–260

    Google Scholar 

  130. Tsamboulas D, Moraiti P, Lekka AM (2012) Performance evaluation for implementation of port community system. Transp Res Rec 2273:29–37

    Article  Google Scholar 

  131. Tsen JKT (2011) Ten years of single window implementation: lessons learned for the future. In: Proceedings of the global trade facilitation conference, pp 1–30

  132. United Nations: Recommendation and guidelines on establishing a single window to enhance the efficient exchange of information between trade and government: recommendation no. 33. Tech. rep., United Nations, Centre for Trade Facilitation and Electronic Business, New York (2005)

  133. United Nations: World urbanization prospects. Tech. rep., United Nations, Department of Economics and Social Affairs (2014). https://esa.un.org/unpd/wup/Publications/Files/WUP2014-Highlights

  134. Urciuoli L, Hintsa J, Ahokas J (2013) Drivers and barriers affecting usage of e-customs-a global survey with customs administrations using multivariate analysis techniques. Gov Inf Q 30(4):473–485

    Article  Google Scholar 

  135. Van Baalen P, Zuidwijk R, van Nunen J (2009) Port inter-organizational information systems: capabilities to service global supply chains. Found Trends Technol Inf Oper Manag 2(2–3):81–241

    Google Scholar 

  136. Wamba SF, Chatfield AT (2009) A contingency model for creating value from RFID supply chain network projects in logistics and manufacturing environments. Eur J Inf Syst 18(6):615–636

    Article  Google Scholar 

  137. Wang W, Yuan Y, Wang X, Archer N (2006) RFID implementation issues in China: Shanghai Port case study. J Internet Commerce 5(4):89–103

    Article  Google Scholar 

  138. Want R (2006) An introduction to RFID technology. IEEE Pervasive Comput 5(1):25–33

    Article  Google Scholar 

  139. Wenjie C, Lifeng C, Zhanglong C, Shiliang T (2005) A real-time dynamic traffic control system based on wireless sensor network. In: Proceedings of the international conference workshops on parallel processing (ICPP), pp 258–264. IEEE

  140. Wiegmans BW, Hoest AVD, Notteboom TE (2008) Port and terminal selection by deep-sea container operators. Marit Policy Manag 35(6):517–534

    Article  Google Scholar 

  141. Williams P, Basker S, Ward N (2008) e-Navigation and the case for eLoran. J Navig 61(03):473–484

    Article  Google Scholar 

  142. World Cargo News: Hamburg launches ChainPORT (2016). http://www.worldcargonews.com/htm/w20160406.776974.htm

  143. Wrigley CD, Wagenaar RW, Clarke RA (1994) Electronic data interchange in international trade: frameworks for the strategic analysis of ocean port communities. J Strateg Inf Syst 3(3):211–234

    Article  Google Scholar 

  144. Yang H, Yang L, Yang SH (2011) Hybrid Zigbee RFID sensor network for humanitarian logistics centre management. J Netw Comput Appl 34(3):938–948

    Article  Google Scholar 

  145. Yick J, Mukherjee B, Ghosal D (2008) Wireless sensor network survey. Comput Netw 52(12):2292–2330

    Google Scholar 

  146. Zhang J, Ioannou PA, Chassiakos A (2006) Automated container transport system between inland port and terminals. ACM Trans Model Comput Simul 16(2):95–118

    Article  Google Scholar 

  147. Zhao W, Goodchild AV (2010) The impact of truck arrival information on container terminal rehandling. Transp Res Part E Logist Transp Rev 46(3):327–343

    Article  Google Scholar 

  148. Zuidwijk RA, Veenstra AW (2014) The value of information in container transport. Transp Sci 49(3):675–685

    Article  Google Scholar 

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Heilig, L., Voß, S. Information systems in seaports: a categorization and overview. Inf Technol Manag 18, 179–201 (2017). https://doi.org/10.1007/s10799-016-0269-1

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