TY - GEN
T1 - Modelling and solving the combined inventory routing problem with risk consideration
AU - Kheiri, Ahmed
AU - Zografos, Konstantinos
N1 - Publisher Copyright:
© 2019 Copyright held by the owner/author(s).
PY - 2019/7/13
Y1 - 2019/7/13
N2 - This work proposes a multi-objective extension of a real-world inventory routing problem (IRP), a generalisation of the classical vehicle routing problem (VRP) with vendor managed inventory (VMI) replenishment. While many mathematical formulations and solution models already exist, this study incorporates business-related and risk considerations that makes it unique. It is known that a significant volume of hazardous materials travels every day. Consideration of risks arising from the transportation of hazardous materials as a criterion for selecting distribution routes could potentially reduce the likelihood of accidents and/or the expected consequences of accidents.
AB - This work proposes a multi-objective extension of a real-world inventory routing problem (IRP), a generalisation of the classical vehicle routing problem (VRP) with vendor managed inventory (VMI) replenishment. While many mathematical formulations and solution models already exist, this study incorporates business-related and risk considerations that makes it unique. It is known that a significant volume of hazardous materials travels every day. Consideration of risks arising from the transportation of hazardous materials as a criterion for selecting distribution routes could potentially reduce the likelihood of accidents and/or the expected consequences of accidents.
KW - Hyper-heuristic
KW - Inventory routing problem
KW - Multi-objective optimisation
KW - Risk consideration
UR - http://www.scopus.com/inward/record.url?scp=85070644451&partnerID=8YFLogxK
U2 - 10.1145/3319619.3326773
DO - 10.1145/3319619.3326773
M3 - Conference contribution
AN - SCOPUS:85070644451
T3 - GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion
SP - 57
EP - 58
BT - GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion
PB - Association for Computing Machinery
T2 - 2019 Genetic and Evolutionary Computation Conference, GECCO 2019
Y2 - 13 July 2019 through 17 July 2019
ER -