A simulation-optimisation genetic algorithm approach to product allocation in vending machine systems

作者：

Highlights：

• Simulation-optimisation is applied to a large case study for a real vending network

• A stochastic demand is considered with vending specific capacity constraints

• Revenue gains by reducing restocks and stock-outs were highest for popular machines.

摘要

•Simulation-optimisation is applied to a large case study for a real vending network•A stochastic demand is considered with vending specific capacity constraints•Revenue gains by reducing restocks and stock-outs were highest for popular machines.

论文关键词：Vending machine systems,Portfolio optimisation,Genetic algorithm,Simulation

论文评审过程：Received 30 January 2019, Revised 10 October 2019, Accepted 28 November 2019, Available online 5 December 2019, Version of Record 19 December 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113110