Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

Research on Logistics Issues in Equipment Autonomic Support

Authors
Yongle He, Na Lin, Jingtao Shang
Corresponding Author
Na Lin
Available Online December 2018.
DOI
https://doi.org/10.2991/tlicsc-18.2018.85How to use a DOI?
Keywords
equipment autonomous support; material distribution; two-stage heuristic algorithm (TSHA); hybrid genetic algorithm (HGA).
Abstract
This paper studies the typical logistics problem in equipment support, i.e. the decision-making optimization of material supply, which refers specifically to the transportation and distribution of materials and equipment (such as ammunition, oil, personnel, medical supplies, maintenance accessories, maintenance equipment, etc.) during the replenishment process. Firstly, we model the problem as a multi-depot vehicle routing problem (MDVRP), and then design a two-stage heuristic algorithm to solve it. We construct an example of 150 demand points and 3 resource points to validate the effectiveness of the algorithm, and compare the two-stage heuristic algorithm with the simulated annealing-based particle swarm optimization (SAPSO) algorithm. The experimental results show that the two-stage heuristic algorithm can better solve the logistics problem in equipment autonomic support.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-621-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/tlicsc-18.2018.85How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yongle He
AU  - Na Lin
AU  - Jingtao Shang
PY  - 2018/12
DA  - 2018/12
TI  - Research on Logistics Issues in Equipment Autonomic Support
BT  - 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.85
DO  - https://doi.org/10.2991/tlicsc-18.2018.85
ID  - He2018/12
ER  -