Integrating blockchain with digital product passports for managing reverse supply chain
本文设计了一个整合区块链与数字产品护照的信息共享框架，用于管理逆向供应链，并通过系统动力学模型评估其效果，发现该框架能提升合法回收市场、减少非法回收的负面影响、缓解牛鞭效应并提高市场满足率。
• First comprehensive review of ML models for end-of-life product return predictions. • Integration of PRISMA systematic review with network and meta -analysis methods. • Key factors influencing ML prediction accuracy in reverse supply chains. • Six future research directions for AI-enhanced circular-economy logistics. The evolution of the circular economy has led to the adoption of circular supply chains, where efficient management of the reverse supply chain enhances resource utilization, minimizes waste, and fosters a circular supply chain. However, managing reverse supply chains presents numerous challenges including a lack of information transparency and traceability, inconsistent cooperation among stakeholders, and uncertainty in recycling process, such as variations in quantity, quality, and timing. To address these challenges, an information sharing framework that integrates blockchain technology with digital product passports (DPPs) is designed to manage reverse supply chain information. Subsequently, a system dynamics model is applied to evaluate the potential impacts and feasibility of this framework within the reverse supply chain and its implications for the forward supply chain. The results indicate that the application of the proposed framework enhance the legal recycling market, reduces the negative environmental impact of illegal recycling activities, mitigates the bullwhip effect within the forward supply chain, and improves market fulfillment rate. The proposed information sharing framework can be employed to enhance the information efficiency of the reverse supply chain, aid in the recovery of end-of-life products and critical resources utilization, thereby supporting the transition to a circular economy.