Integrating meta-heuristics, simulation and exact techniques for production planning of a failure-prone manufacturing system
Juan Esteban Diaz,
Julia Handl and
Dong-Ling Xu
European Journal of Operational Research, 2018, vol. 266, issue 3, 976-989
Abstract:
This paper considers a real-world production planning problem in which production line failures cause uncertainty regarding the practical implementation of a given production plan. We provide a general formulation of this problem as an extended stochastic knapsack problem, in which uncertainty arises from non-trivial perturbations to the decision variables that cannot be represented in closed form.
Keywords: Genetic algorithms; Combinatorial optimization; Production planning; Simulation-based optimization; Uncertainty modelling (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221717309918
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:266:y:2018:i:3:p:976-989
DOI: 10.1016/j.ejor.2017.10.062
Access Statistics for this article
European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().