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Asset tracking, condition visibility and sustainability using unmanned aerial systems in global logistics
The scale and scope of global logistics systems make real-time visibility of individual assets in global logistics systems difficult. Aggregating global logistics data to a manageable level where interruptions and disruptions can be anticipated or resolved is high on the wish list of global logistic...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7576376/ https://www.ncbi.nlm.nih.gov/pubmed/34173475 http://dx.doi.org/10.1016/j.trip.2020.100234 |
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author | Sellevold, Ethan May, Travis Gangi, Sam Kulakowski, Jakub McDonnell, Ian Hill, Doug Grabowski, Martha |
author_facet | Sellevold, Ethan May, Travis Gangi, Sam Kulakowski, Jakub McDonnell, Ian Hill, Doug Grabowski, Martha |
author_sort | Sellevold, Ethan |
collection | PubMed |
description | The scale and scope of global logistics systems make real-time visibility of individual assets in global logistics systems difficult. Aggregating global logistics data to a manageable level where interruptions and disruptions can be anticipated or resolved is high on the wish list of global logistics managers and decision makers. Asset tracking and condition visibility in global supply chains is also difficult because few standards or metrics have been assessed in a supply chain, particularly when new technology is introduced, such as unmanned aerial systems in global supply chains. In this paper, we describe the integration of an unmanned aerial system in a global logistics system, and the metrics used to assess the integrated system. We highlight the importance of supply chain process, business impact, societal and environmental sustainability metrics, in addition to economic and supply chain performance metrics, in evaluating the integrated system. |
format | Online Article Text |
id | pubmed-7576376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Authors. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75763762020-10-21 Asset tracking, condition visibility and sustainability using unmanned aerial systems in global logistics Sellevold, Ethan May, Travis Gangi, Sam Kulakowski, Jakub McDonnell, Ian Hill, Doug Grabowski, Martha Transportation Research Interdisciplinary Perspectives Article The scale and scope of global logistics systems make real-time visibility of individual assets in global logistics systems difficult. Aggregating global logistics data to a manageable level where interruptions and disruptions can be anticipated or resolved is high on the wish list of global logistics managers and decision makers. Asset tracking and condition visibility in global supply chains is also difficult because few standards or metrics have been assessed in a supply chain, particularly when new technology is introduced, such as unmanned aerial systems in global supply chains. In this paper, we describe the integration of an unmanned aerial system in a global logistics system, and the metrics used to assess the integrated system. We highlight the importance of supply chain process, business impact, societal and environmental sustainability metrics, in addition to economic and supply chain performance metrics, in evaluating the integrated system. The Authors. Published by Elsevier Ltd. 2020-11 2020-10-21 /pmc/articles/PMC7576376/ /pubmed/34173475 http://dx.doi.org/10.1016/j.trip.2020.100234 Text en © 2020 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Sellevold, Ethan May, Travis Gangi, Sam Kulakowski, Jakub McDonnell, Ian Hill, Doug Grabowski, Martha Asset tracking, condition visibility and sustainability using unmanned aerial systems in global logistics |
title | Asset tracking, condition visibility and sustainability using unmanned aerial systems in global logistics |
title_full | Asset tracking, condition visibility and sustainability using unmanned aerial systems in global logistics |
title_fullStr | Asset tracking, condition visibility and sustainability using unmanned aerial systems in global logistics |
title_full_unstemmed | Asset tracking, condition visibility and sustainability using unmanned aerial systems in global logistics |
title_short | Asset tracking, condition visibility and sustainability using unmanned aerial systems in global logistics |
title_sort | asset tracking, condition visibility and sustainability using unmanned aerial systems in global logistics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7576376/ https://www.ncbi.nlm.nih.gov/pubmed/34173475 http://dx.doi.org/10.1016/j.trip.2020.100234 |
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