Please use this identifier to cite or link to this item:
Title: Application of multi-stage Monte Carlo method for solving machining optimization problems
Authors: Madić, Miloš 
Kovačević, Milan 
Radovanović, Miroslav 
Issue Date: 1-Jan-2014
Journal: International Journal of Industrial Engineering Computations
Abstract: Enhancing the overall machining performance implies optimization of machining processes, i.e. determination of optimal machining parameters combination. Optimization of machining processes is an active field of research where different optimization methods are being used to determine an optimal combination of different machining parameters. In this paper, multi-stage Monte Carlo (MC) method was employed to determine optimal combinations of machining parameters for six machining processes, i.e. drilling, turning, turn-milling, abrasive waterjet machining, electrochemical discharge machining and electrochemical micromachining. Optimization solutions obtained by using multi-stage MC method were compared with the optimization solutions of past researchers obtained by using meta-heuristic optimization methods, e.g. genetic algorithm, simulated annealing algorithm, artificial bee colony algorithm and teaching learning based optimization algorithm. The obtained results prove the applicability and suitability of the multi-stage MC method for solving machining optimization problems with up to four independent variables. Specific features, merits and drawbacks of the MC method were also discussed. © 2014 Growing Science Ltd. All rights reserved.
ISSN: 19232926
DOI: 10.5267/j.ijiec.2014.7.002
Appears in Collections:Naučne i umetničke publikacije

Show full item record


checked on Sep 4, 2020

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.