A simulation-optimization approach for adaptive manufacturing capacity planning in small and medium-sized enterprises

作者：

Highlights：

• Exploits Observational and collected data to plan the manufacturing capacity.

• Proposes a data-driven approach in labor-intensive manufacturing.

• Adopts the concept of smart manufacturing with artificial intelligence.

• Promising implementation results in a real-world case study.

摘要

•Exploits Observational and collected data to plan the manufacturing capacity.•Proposes a data-driven approach in labor-intensive manufacturing.•Adopts the concept of smart manufacturing with artificial intelligence.•Promising implementation results in a real-world case study.

论文关键词：Simulation-optimization,Artificial neural network,Genetic algorithm,Manufacturing capacity planning,SMEs

论文评审过程：Received 16 February 2020, Revised 4 November 2020, Accepted 2 December 2020, Available online 7 December 2020, Version of Record 11 December 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114451