Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11517
Title: A hybrid intelligent model for order allocation planning in make-to-order manufacturing
Authors: Guo, ZX
Wong, WK 
Leung, SYS 
Keywords: Hybrid intelligence
Mento Carlo simulation
Multi-objective memetic algorithm
Order allocation planning
Pareto optimization
Issue Date: 2012
Publisher: Elsevier
Journal: Applied soft computing 
Abstract: This paper investigated a multi-objective order allocation planning problem in make-to-order manufacturing with the consideration of various real-world production features. A novel hybrid intelligent optimization model, integrating a multi-objective memetic optimization (MOMO) process, a Monte Carlo simulation technique and a heuristic pruning technique, is developed to tackle this problem. The MOMO process, combining a NSGA-II optimization process with a tabu search, is proposed to provide Pareto optimal solutions. Extensive experiments based on industrial data are conducted to validate the proposed model. Results show that (1) the proposed model can effectively solve the investigated problem by providing effective production decision-making solutions; (2) the MOMO process has better capability of seeking global optimum than an NSGA-II-based optimization process and an industrial method.
URI: http://hdl.handle.net/10397/11517
ISSN: 1568-4946
EISSN: 1872-9681
DOI: 10.1016/j.asoc.2012.07.019
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