On the Development of a Multilayered Agent-based Heuristic System for Vehicle Routing Problem under Random Vehicle Breakdown

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Abstract

With the recent technological advancement, the Dynamic Vehicle Routing Problem is becoming more applicable. However, almost all of
the researches in this field limited the source of dynamism from the order side instead of the vehicle and the adoption of inflexible tools
that are mainly designed for the static problem, considering multiple random vehicle breakdowns complicate how to adapt and distribute
the workload to other functioning vehicles. In this ongoing PhD research, a proposed multilayered agent-based model (ABM) and a
modeling framework on dealing with such disruptive events in a continuous reactive manner. The model is partially constructed and
experimented, with a developed clustering rule, on two randomly generated scenarios for validation. The rule achieved reasonable order
allocation to vehicles and reacted to different problem sizes by rejecting orders over the model capacity. This allocation shows a promising
path in fully adopting the ABM model in this dynamic problem.
Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalCihan University-Erbil Scientific Journal
Volume5
Issue number1
DOIs
Publication statusPublished - 20 May 2021

Bibliographical note

This is an open-access article distributed under the Creative Commons
Attribution License (CC BY-NC-ND 4.0). Cihan University-Erbil Scientific Journal
(CUESJ)

Keywords

  • Agent-based modeling
  • dynamic, vehicle routing
  • breakdown
  • heuristic

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