Feeding the expected global population of 9 billion by 2050 is a daunting challenge, which engages researchers, technical experts, and leaders across the globe. Particularly, fish consumption in 2030 is projected to be 20 % higher than in 2016 (30 million tons live weight). Salmon farming is one of the main industries that may help in covering the projected world fish demand. Specifically, the largest worldwide salmon exporters are Norway and Chile, representing around 80 % of the market. Therefore, this study aims to analyze strategies to enhance the cold production performance of a typical Chilean salmon company, by developing a simulation model to analyze different improvement strategies for the productive processes in the plant. For three real scenarios, the cold production line throughput was increased between 6.65%–22.95%, where the best case represented an increase of about 330 tons per month. Additionally, we provide relevant significant insights for both practitioners and researchers, based on implementing our methodology.

到 2050 年养活预计将达到 90 亿的全球人口是一项艰巨的挑战，全球的研究人员、技术专家和领导者都参与其中。特别是，2030 年的鱼类消费量预计将比 2016 年（3000 万吨活重）高 20%。三文鱼养殖是可能有助于满足预计的世界鱼类需求的主要产业之一。具体而言，全球最大的三文鱼出口国是挪威和智利，约占市场的 80%。因此，本研究旨在通过开发模拟模型来分析提高一家典型智利三文鱼公司冷生产性能的策略，以分析工厂生产过程的不同改进策略。对于三个真实场景，冷产线吞吐量增加了 6.65%–22.95%，其中最好的情况是每月增加约 330 吨。此外，我们基于实施我们的方法论，为从业者和研究人员提供相关的重要见解。