Multi-Thread CTAEA-Based Workstation Reconfiguration for Multi-Stage Automobile Engine Flow Shop Considering Performance Deterioration
Miao Yang, Congbo Li, Wei Wu, You Zhang, Yongsheng Chang
Abstract
In the automobile engine flow shop (AEFS), the equipment has more chance to work for a long time, so the manufacturing performance may deteriorate rapidly, thus causing operating unbalance and inefficiency. To tackle this problem at minimum cost, this study proposes a multi-thread constrained two-archive evolutionary algorithm (CTAEA) to enable workstation reconfiguration for multi-stage AEFS considering performance deterioration. First, a workstation reconfiguration model that selects the extra cost and alteration of cycle time as the objectives is developed to evaluate the reconfiguration scheme for the multi-stage AEFS. Then, a multi-thread CTAEA is designed to efficiently optimize the established mathematical model that involves a large number of variables making it hard to obtain globally optimal solutions. Finally, a case study is implemented to verify the feasibility and superiority of the proposed method via experimental validation and comparison, respectively.
BibTeX
@inproceedings{ral2022_multithreadctaea,
title = {Multi-Thread CTAEA-Based Workstation Reconfiguration for Multi-Stage Automobile Engine Flow Shop Considering Performance Deterioration},
author = {Miao Yang and Congbo Li and Wei Wu and You Zhang and Yongsheng Chang},
booktitle = {RA-L 2022},
year = {2022}
}