Tools
Tools
Mishra, Bhupesh 
ORCID: 0000-0003-3430-8989, Dahal, Keshaw and Pervez, Zeeshan
(2022)
Dynamic Relief Items Distribution Model with Sliding Time Window in the Post-Disaster Environment.
Applied Sciences, 12 (16).
pp. 8358-8382.
doi:10.3390/app12168358
|
Text (Peer Reviewed Version)
11531 Mishra, Dahal and Pervez (2022) Dynamic_relief_items_distribution_model_with_sliding_time_window_in_the_post-disaster_environment.pdf - Published Version Available under License Creative Commons Attribution 4.0. Download (1MB) | Preview |
Abstract
In smart cities, relief items distribution is a complex task due to the factors such as incomplete information, unpredictable exact demand, lack of resources, and causality levels, to name a few. With the development of Internet of Things (IoT) technologies, dynamic data update provides the scope of distribution schedule to adopt changes with updates. Therefore, the dynamic relief items distribution schedule becomes a need to generate humanitarian supply chain schedules as a smart city application. To address the disaster data updates in different time periods, a dynamic optimised model with a sliding time window is proposed that defines the distribution schedule of relief items from multiple supply points to different disaster regions. The proposed model not only considers the details of available resources dynamically but also introduces disaster region priority along with transportation routes information updates for each scheduling time slot. Such an integrated optimised model delivers an effective distribution schedule to start with and updates it for each time slot. A set of numerical case studies is formulated to evaluate the performance of the optimised scheduling. The dynamic updates on the relief item demands’ travel path, causality level and available resources parameters have been included as performance measures for optimising the distributing schedule. The models have been evaluated based on performance measures to reflect disaster scenarios. Evaluation of the proposed models in comparison to the other perspective static and dynamic relief items distribution models shows that adopting dynamic updates in the distribution model cover most of the major aspects of the relief items distribution task in a more realistic way for post-disaster relief management. The analysis has also shown that the proposed model has the adaptability to address the changing demand and resources availability along with disaster conditions. In addition, this model will also help the decision-makers to plan the post-disaster relief operations in more effective ways by covering the updates on disaster data in each time period.
| Item Type: | Article |
|---|---|
| Article Type: | Article |
| Uncontrolled Keywords: | Dynamic Scheduling; Relief Items Distribution; Disaster; Humanitarian Supply Chain; Optimisation; Sliding Time Window; Smart Cities |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Schools and Research Institutes > School of Creative Arts |
| Research Priority Areas: | Applied Business & Technology |
| Depositing User: | Kate Greenaway |
| Date Deposited: | 14 Sep 2022 12:07 |
| Last Modified: | 31 Oct 2023 11:27 |
| URI: | https://eprints.glos.ac.uk/id/eprint/11531 |
University Staff: Request a correction | Repository Editors: Update this record
