Biomass has attracted considerable attention from both researchers and practitioners as an important renewable energy source that can help achieve sustainable development. However, inefficient biomass logistics systems hinder the development of biomass utilisation. This study investigates a two-echelon biomass resource location-routing problem (2E-BRLRP). Considering a predetermined supply of biomass resources, a mixed integer programming model for the 2E- BRLRP is established to determine the best locations for biomass collection facilities and corresponding vehicle routes. To address the computational complexity, a hybrid heuristic algorithm that embeds variable neighbourhood search into the tabu search framework is developed. A set of comprehensive computational examples are used to test the effectiveness and efficiency of the proposed approach.

生物质作为一种重要的可再生能源，可以帮助实现可持续发展，引起了研究人员和从业人员的极大关注。然而，低效率的生物质物流系统阻碍了生物质利用的发展。这项研究调查了两级生物质资源定位路由问题（2E-BRLRP）。考虑到生物质资源的预定供应，建立了用于2E-BRLRP的混合整数规划模型，以确定生物质收集设施和相应车辆路线的最佳位置。为了解决计算复杂性，开发了一种混合启发式算法，该算法将变量邻域搜索嵌入到禁忌搜索框架中。一组综合计算示例用于测试所提出方法的有效性和效率。