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Blind Spots and Counterfeits in the Supply Chain: Lessons from Haiti that can be well applied to the Philippines and Hawaii

Authors:
Alison Kuzmickas
Steve Chan
Robert Spousta III
Simone Sala

Keywords: Big Data, Cyber-Physical Supply Chain, Decision Engineering, Social Complexity Science, Technological Innovation

Abstract:
Collaborative Big Data Analytics involve a variety of techniques for information gathering and source authentication, including crowdsourcing data. In turn, the development of crowdsourced and participatory mechanisms for a more transparent supply chain is pivotal to identify blind spots and mitigate their impact on global citizens’ health and safety. Such effort is also instrumental in reducing cyber risks from the digital world that currently represent a major threat to the stability of national and international economic systems. The paper reviews the lessons learned from the earthquake that devastated Haiti in 2010, whereby the successful combined application of crowdsourced crisis mapping with standard disaster relief operations was equalized by the challenges of data verification for the authenticity of humanitarian products. By overviewing the threats to supply chains coming from the digital world, the paper proposes the adoption of next-generation network science tools to enhance transparency of global supply chains and reduction of cyber risks on the global society.

Pages: 31 to 37

Copyright: Copyright (c) IARIA, 2015

Publication date: July 19, 2015

Published in: conference

ISSN: 2308-4464

ISBN: 978-1-61208-423-7

Location: Nice, France

Dates: from July 19, 2015 to July 24, 2015