Dynamic multi-depot vehicle routing problem in the era of Industry 4.0

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Authors
Abdirad, Maryam
Krishnan, Krishna K.
Gupta, Deepak P.
Advisors
Issue Date
2023-07
Type
Article
Keywords
Heuristic , Multi-depot vehicle routing problem , Two-stage algorithm
Research Projects
Organizational Units
Journal Issue
Citation
Abdirad, M., Krishnan, K.K., & Gupta, D.P. (2023). Dynamic multi-depot vehicle routing problem in the era of Industry 4.0. International Journal of Procurement Management, 18(1), (pp. 68-81). https://doi.org/10.1504/IJPM.2023.132582
Abstract

The ongoing challenge for supply chain systems is accommodating real-time changes and unpredictable demands from system entities or customers. In a dynamic commodity delivery system, new orders enter the system while the vehicles are already on-route deliver scheduled orders. The critical problem in such cases is developing the intelligence to dynamically respond to changing demands while minimising transportation costs. In this research, an innovative Industry 4.0 approach was used to suggest a solution to 'dynamic multi-depot vehicle routing problem (DMDVRP)'. This research was designed to optimise the transportation expenses while maintaining each vehicle capacity constraint as serving customer stochastic demands from multiple depots. Industry 4.0 is a new implementation of technology utilised by companies, in this case, to bring around a transformed supply chain solution and system with a dynamic approach. Two-stage hybrid algorithms were developed for solving the DMDVRP. The experimental scenarios' results demonstrate the developed algorithms were effective.

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Publisher
Inderscience Publishers
Journal
Book Title
Series
International Journal of Procurement Management
v.18 no.1
PubMed ID
DOI
ISSN
1753-8432 (print)
1753-8440 (online)
EISSN