Activities per year
Abstract
Increasing customer demands and variability in today’s logistics networks force fleet operators to become more reliable and flexible in their operations. As modern-day fleets are well equipped with wireless sensing, processing, and communication devices, fleet operators could proactively respond to dynamic events. However, the use of real-time sensor data to achieve re-optimization is scarce. This observation raises the question of how logistics operators should incorporate the emerging track-and-trace services into their dynamic planning activities. In this paper, we propose a reference architecture that relies on both the Internet of Things and the Smart Logistics paradigms, and aims at enhancing the resilience of logistics networks. Since the decision of when to reschedule the network’s configurations remains nontrivial, we propose a hierarchical set of disruption handling systems to facilitate the trade-off between decision quality and response time. In our design, autonomous logistics agents can quickly anticipate on minor changes in their surroundings, while more severe disruptions require both more data and computational power in higher-level processing nodes (e.g., fog/cloud computing, machine learning, optimization algorithms). We illustrate the need of our architecture in the context of the dynamic vehicle routing problem.
Original language | English |
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Title of host publication | Advanced Information Systems Engineering - 33rd International Conference, CAiSE 2021, Proceedings |
Subtitle of host publication | 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings |
Editors | Marcello La Rosa, Shazia Sadiq, Ernest Teniente |
Place of Publication | Cham |
Publisher | Springer |
Pages | 551-565 |
Number of pages | 15 |
ISBN (Electronic) | 978-3-030-79382-1 |
ISBN (Print) | 978-3-030-79381-4 |
DOIs | |
Publication status | Published - 24 Jun 2021 |
Event | 33rd International Conference on Advanced Information Systems Engineering, CAiSE 2021: Doctoral Consortium - University of Melbourne, Virtual Event, Australia Duration: 28 Jun 2021 → 2 Jul 2021 Conference number: 33 https://caise21.org/ |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 12751 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 33rd International Conference on Advanced Information Systems Engineering, CAiSE 2021 |
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Abbreviated title | CAiSE 2021 |
Country/Territory | Australia |
City | Virtual Event |
Period | 28/06/21 → 2/07/21 |
Internet address |
Keywords
- Internet of Things
- IoT
- Smart logistics
- Enterprise Architecture (EA)
- Disruption handling
Fingerprint
Dive into the research topics of 'A Reference Architecture for IoT-Enabled Dynamic Planning in Smart Logistics'. Together they form a unique fingerprint.Activities
- 1 Participating in a conference, workshop, ...
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33rd International Conference on Advanced Information Systems Engineering, CAiSE 2021
Koot, M. (Participant), Iacob, M. E. (Participant) & Mes, M. R. K. (Participant)
28 Jun 2021 → 2 Jul 2021Activity: Participating in or organising an event › Participating in a conference, workshop, ...
Research output
- 5 Citations
- 1 PhD Thesis - Research UT, graduation UT
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Condition-Based Logistics: Internet of Things Solutions for Resilient Supply Chains
Koot, M., 28 May 2024, Enschede: University of Twente. 211 p.Research output: Thesis › PhD Thesis - Research UT, graduation UT
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