Intelligent Autonomous Vehicles in digital supply chains: A framework for integrating innovations towards sustainable value networks

Intelligent Autonomous Vehicles in digital supply chains: A framework for integrating innovations... The principal objective of this research is to provide a framework that captures the main software architecture elements for developing highly customised simulation tools that support the effective integration of Intelligent Autonomous Vehicles (IAVs) in sustainable supply networks, as an emerging field in the operations management agenda. To that end, the study's contribution is fourfold including: (i) a review of software simulation tools and platforms used in assessing the performance of IAVs interlinked with sustainability ramifications in supply chain (SC) ecosystems, (ii) an integrated software framework for monitoring and assessing the sustainability performance of SCs defined by the utilisation of innovative IAVs in operations, (iii) a translation of the proposed SC framework into a corresponding software application through a robust five-stage stepwise process, and (iv) a demonstration of the developed software tool through its application on the case of an IAV system operating in a customisable warehouse model. Our analysis highlights the flexibility resulting from a decentralised software management architecture, thus enabling the dynamic reconfiguration of a SC network. In addition, the developed pilot simulation tool can assist operations managers in capturing the operational needs of facilities and assessing the performance of IAV systems while considering sustainability parameters. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Cleaner Production Elsevier

Intelligent Autonomous Vehicles in digital supply chains: A framework for integrating innovations towards sustainable value networks

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Publisher
Elsevier
Copyright
Copyright © 2018 The Authors
ISSN
0959-6526
D.O.I.
10.1016/j.jclepro.2018.01.173
Publisher site
See Article on Publisher Site

Abstract

The principal objective of this research is to provide a framework that captures the main software architecture elements for developing highly customised simulation tools that support the effective integration of Intelligent Autonomous Vehicles (IAVs) in sustainable supply networks, as an emerging field in the operations management agenda. To that end, the study's contribution is fourfold including: (i) a review of software simulation tools and platforms used in assessing the performance of IAVs interlinked with sustainability ramifications in supply chain (SC) ecosystems, (ii) an integrated software framework for monitoring and assessing the sustainability performance of SCs defined by the utilisation of innovative IAVs in operations, (iii) a translation of the proposed SC framework into a corresponding software application through a robust five-stage stepwise process, and (iv) a demonstration of the developed software tool through its application on the case of an IAV system operating in a customisable warehouse model. Our analysis highlights the flexibility resulting from a decentralised software management architecture, thus enabling the dynamic reconfiguration of a SC network. In addition, the developed pilot simulation tool can assist operations managers in capturing the operational needs of facilities and assessing the performance of IAV systems while considering sustainability parameters.

Journal

Journal of Cleaner ProductionElsevier

Published: Apr 20, 2018

References

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