Responding to Humanitarian and Global Concerns with Digitally Enabled Supply Chain Visibility

Wolfgang Lehmacher (), Mikael Lind (), Margi Gogh (), Hanane Becha (), Norbert Kouwenhoven (), Erik Lund (), Henk Mulder (), André Simha (), Frank Clary (), Mikael Renz () and Niall Murphy ()
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Wolfgang Lehmacher: Industrial Innovation Partners, Anchor Group
Mikael Lind: Chalmers University of Technology
Margi Gogh: World Economic Forum
Hanane Becha: UN/CEFACT Transport and Logistics
Norbert Kouwenhoven: IBM NL
Erik Lund: Sony Network Communications Europe
Henk Mulder: International Air Transport Association (IATA)
André Simha: MSC Mediterranean Shipping Company
Frank Clary: Agility
Mikael Renz: Swedish Maritime Administration
Niall Murphy: EVRYTHNG

A chapter in Maritime Informatics, 2021, pp 1-16 from Springer

Abstract: Abstract Supply chain operations can be complex. Especially where multi-modal transport is at play, and where dynamic decision making is required for the routing of goods in transit in the best interest of people and the planet. With digitally enabled supply chains we can address many global concerns around today’s environmental, social and economic challenges. Supply chain operations are pursued in an environment that can be characterised as a self-organising ecosystem. Connections between various (local) data sharing environments in networks of networks enable stakeholders in the supply chain to enhance their information base. The latest internet of things (IoT) technologies can complement the insights provided by the data from various systems of records as to the whereabouts, status and conditions of goods and assets. Combining all available data improves situational awareness. Situational awareness through data sharing enables efficient, green and humanitarian decision making and facilitates a truly smooth and seamless movement of goods. In this chapter we elaborate how data from the many involved actors and sources can provide (near) real-time situational awareness enabled by maritime informatics perspectives and methods in the context of humanitarian and global concerns.

Keywords: Global sustainability; Data sharing; Aggregation; Predictability (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/978-3-030-72785-7_1

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