Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, QC H3G 1M8, Canada.
Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, QC H3G 1M8, Canada.
Sci Total Environ. 2021 Jul 10;777:146078. doi: 10.1016/j.scitotenv.2021.146078. Epub 2021 Feb 26.
The oily waste generated from the cleanup operations during shoreline spill response can result in challenging environmental and socioeconomic problems. In this study, an inexact inventory-theory-based optimization model (ITOM) for oily waste management during shoreline spill response was developed to support the spill management team. The most appropriate facilities and optimal waste allocation scheme under uncertainty can be selected to achieve minimum total system cost. To satisfy the demand of oily waste treatment, these oily waste management facilities can be selectively opened depending on the situation. In the combination with the economic order quantity model of inventory theory, the developed model can provide the optimal solutions of batch size and order cycle for treatment facilities to minimize the inventory cost. A case study was used to demonstrate the application of ITOM. The obtained solutions include the facilities selection and waste allocation for waste collection and destocking stages under different risk levels. These solutions can provide a good guideline with managers to analyze the trade-offs between system cost and constraint-violation risks. The developed model has high application potential as a job-aid tool to manage the oily waste generated from oiled shoreline cleanup operations.
在海岸溢油应急清理作业中产生的含油废物可能会导致环境和社会经济方面的难题。本研究旨在开发一种基于非精确库存理论的优化模型（ITOM），为溢油应急管理团队提供支持。该模型可用于选择最合适的设施和最优的废物分配方案，以实现最低的总成本。为了满足含油废物处理的需求，可以根据情况选择性地开启这些含油废物管理设施。结合库存理论的经济订货批量模型，所开发的模型可为处理设施提供处理批量和订购周期的最优解，以最小化库存成本。通过案例研究展示了 ITOM 的应用。所得解决方案包括在不同风险水平下的废物收集和清仓阶段的设施选择和废物分配。这些解决方案可为管理人员提供一个很好的指导，帮助他们在系统成本和约束违反风险之间进行权衡分析。所开发的模型具有很高的应用潜力，可作为辅助工具来管理受油污染的海岸线清理作业中产生的含油废物。
