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http://hdl.handle.net/10609/99606
Title: A simheuristic algorithm for solving an integrated resource allocation and scheduling problem
Author: Macarrone, Ludovica
Giovannelli, Tommaso
Ferone, Daniele
Panadero Martínez, Javier  
Juan Pérez, Ángel Alejandro
Issue Date: 2-Jan-2019
Publisher: Winter Simulation Conference (WSC). Proceedings
Citation: Macarrone, L., Giovannelli, T., Ferone, D., Panadero, J. & Juan, A.A. (2019). A simheuristic algorithm for solving an integrated resource allocation and scheduling problem. Winter Simulation Conference (WSC). Proceedings, Dec. - Jan.(), 3340-3351. doi: 10.1109/WSC.2018.8632296
Also see: https://www.informs-sim.org/wsc18papers/includes/files/296.pdf
Abstract: Modern companies have to face challenging configuration issues in their manufacturing chains. One of these challenges is related to the integrated allocation and scheduling of resources such as machines, workers, energy, etc. These integrated optimization problems are difficult to solve, but they can be even more challenging when real-life uncertainty is considered. In this paper, we study an integrated allocation and scheduling optimization problem with stochastic processing times. A simheuristic algorithm is proposed in order to effectively solve this integrated and stochastic problem. Our approach relies on the hybridization of simulation with a metaheuristic to deal with the stochastic version of the allocation-scheduling problem. A series of numerical experiments contribute to illustrate the efficiency of our methodology as well as their potential applications in real-life enterprise settings.
Language: English
URI: http://hdl.handle.net/10609/99606
ISSN: 0891-7736MIAR
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