Name
Title | ||
|---|---|---|
A hybrid intelligent model for order allocation planning in make-to-order manufacturing |
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.asoc.2012.07.019 | Appl. Soft Comput. |
Keywords | Field | DocType |
hybrid intelligent model,monte carlo simulation technique,order allocation planning,industrial data,multi-objective memetic optimization,nsga-ii optimization process,effective production decision-making solution,nsga-ii-based optimization process,novel hybrid intelligent optimization,make-to-order manufacturing,heuristic pruning technique,momo process,pareto optimization | Order allocation,Mathematical optimization,Monte Carlo method,Heuristic,Build to order,Global optimum,Multi-objective optimization,Pareto optimal,Tabu search,Mathematics | Journal |
Volume | Issue | ISSN |
13 | 3 | 1568-4946 |
Citations | PageRank | References |
8 | 0.58 | 23 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Z. X. Guo | 1 | 33 | 1.96 |
| W. K. Wong | 2 | 957 | 49.71 |
| S. Y. S. Leung | 3 | 227 | 13.99 |