TY - CONF

T1 - Modelling and solving the combined inventory routing problem with risk consideration

AU - Kheiri, Ahmed

AU - Zografos, K. G.

N1 - © ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion July 2019 https://dl.acm.org/doi/abs/10.1145/3319619.3326773

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

U2 - 10.1145/3319619.3326773

DO - 10.1145/3319619.3326773

M3 - Conference paper

SP - 57

EP - 58

ER -