Multi-objective control chart design optimization using NSGA-III and MOPSO enhanced with DEA and TOPSIS

作者：

Highlights：

• We use NSGA-III and MOPSO algorithms to solve a multi-objective X-bar control chart design problem.

• NSGA-III and MOPSO are modified to handle a constrained multi-objective problem with discrete and continuous variables.

• Four DEA models are proposed to reduce the number of Pareto optimal solutions to a manageable size.

• TOPSIS is used to prioritize the efficient optimal solutions.

• Several metrics are used to compare the performance of NSGA-III and MOPSO algorithms.

摘要

•We use NSGA-III and MOPSO algorithms to solve a multi-objective X-bar control chart design problem.•NSGA-III and MOPSO are modified to handle a constrained multi-objective problem with discrete and continuous variables.•Four DEA models are proposed to reduce the number of Pareto optimal solutions to a manageable size.•TOPSIS is used to prioritize the efficient optimal solutions.•Several metrics are used to compare the performance of NSGA-III and MOPSO algorithms.

论文关键词：Economical control chart design,NSGA-III algorithm,MOPSO algorithm,Data envelopment analysis,TOPSIS

论文评审过程：Received 15 September 2015, Revised 8 November 2015, Accepted 10 November 2015, Available online 19 November 2015, Version of Record 8 January 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.11.007