An artificial neural network tool to support the decision making of designers for environmentally conscious product development

作者：

Highlights：

• AI tool is developed for deciding the suitable life cycle design parameters.

• An Artificial Neural Network approach is utilized for developing the tool.

• Tool identifies the trade-off between environmental load and cost effectiveness.

• Time efficiency of proposed AI tool is significantly higher than that of GaBi 9.2.

摘要

•AI tool is developed for deciding the suitable life cycle design parameters.•An Artificial Neural Network approach is utilized for developing the tool.•Tool identifies the trade-off between environmental load and cost effectiveness.•Time efficiency of proposed AI tool is significantly higher than that of GaBi 9.2.

论文关键词：Environmentally conscious product development,Product life cycle,Artificial Neural Network,Decision making,Carbon footprint

论文评审过程：Received 30 December 2021, Revised 10 August 2022, Accepted 22 August 2022, Available online 27 August 2022, Version of Record 12 September 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118679