Please use this identifier to cite or link to this item:
|Title:||Simheuristics applications: Dealing with uncertainty in logistics, transportation, and other supply chain areas|
|Author:||Juan Pérez, Ángel Alejandro|
Kelton, W. David
Currie, Christine S. M.
Faulin Fajardo, Francisco Javier
|Publisher:||Winter Simulation Conference (WSC). Proceedings|
|Citation:||Juan, A.A., Kelton, W.D., Currie, C. & Faulín, F. (2019). Simheuristics applications: Dealing with uncertainty in logistics, transportation, and other supply chain areas. Winter Simulation Conference (WSC). Proceedings, 2018(Dec.), 3048-3059. doi: 10.1109/WSC.2018.8632464|
|Abstract:||Optimization problems arising in real-life transportation and logistics need to consider uncertainty conditions (e.g., stochastic travel times, etc.). Simulation is employed in the analysis of complex systems under such non-deterministic environments. However, simulation is not an optimization tool, so it needs to be combined with optimization methods whenever the goal is to: (i) maximize the system performance using limited resources; or (ii) minimize its operations cost while guaranteeing a given quality of service. When the underlying optimization problem is NP-hard, metaheuristics are required to solve large-scale instances in reasonable computing times. Simheuristics extend metaheuristics by adding a simulation layer that allows the optimization component to deal with scenarios under uncertainty. This paper reviews both initial as well as recent applications of simheuristics, mainly in the area of logistics and transportation. The paper also discusses current trends and open research lines in this field.|
|Appears in Collections:||Articles|
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.