In recent years, the government and consumers are concerned about environmental issues. Motivated by carbon regulations and consumers’ low-carbon preferences, manufacturers have implemented carbon emission reduction (CER) through green technologies and remanufacturing. Most of the existing literature related to the low-carbon supply chain considered single carbon regulation and assumed that enterprises are completely rational. However, in practice, it is rather difficult for the government to achieve the carbon reduction target only by a single carbon regulation, and manufacturers are bounded rational due to the complexity of the low-carbon market. Consequently, based on bounded rationality, this paper aims to investigate the dynamic production and CER adjustment strategies of the brand-new and the remanufactured product under hybrid carbon regulations, i.e. the carbon tax regulation and the cap-and-trade regulation. Furthermore, the impacts of adjustment parameters and important parameters on decision variables, expected profits, and total carbon emissions are explored. The results showed that adjustment speeds of production and CER have significant impacts on the system stability. For both manufacturers, excessive production and CER adjustment strategies not only reduce their own expected profits but also cause more harm to the environment. In addition, the increase of the carbon tax, the carbon trading price, and consumers’ low-carbon preferences all shrink the stable regions of adjustment parameters, but the increase of these parameters can promote CER behaviors and reduce total carbon emissions. Finally, the feedback control method was used to control the chaos of the supply chain system.

近年来，政府和消费者都在关注环境问题。在碳法规和消费者低碳偏好的推动下，制造商通过绿色技术和再制造实施碳减排（CER）。现有与低碳供应链相关的文献大多考虑单一的碳监管，并假设企业是完全理性的。但在实践中，政府仅靠单一的碳监管很难实现减碳目标，低碳市场的复杂性也限制了制造商的理性。因此，基于有限理性，本文旨在研究在混合碳法规，即碳税法规和总量控制与交易法规下，全新和再制造产品的动态生产和CER调整策略。此外，还探讨了调整参数和重要参数对决策变量、预期利润和碳排放总量的影响。结果表明，生产和CER的调整速度对系统稳定性有显着影响。对于两家厂商来说，过度生产和CER调整策略不仅降低了自身的预期利润，而且对环境造成了更大的危害。此外，碳税的提高、碳交易价格的提高、消费者的低碳偏好等均缩小了调整参数的稳定区域，但这些参数的增加可以促进 CER 行为并减少碳排放总量。最后，采用反馈控制方法对供应链系统的混沌进行控制。