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A circular economy solid waste supply chain management based approach under uncertainty

机译:不确定性下基于循环经济的固体废物供应链管理

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Unconscious storage of municipality solid waste (MSW) in landfills is a traditional practice in the past. Economic, environmental, and social impacts of landfills have motivated interest in the sustainable utilization of the MSW in order to bring values. This-can be attained by exploring possible production of valuable products from the MSW constituents. In this study, we cover the MSW supply chain network through different echelons under uncertainty. The first echelon represents collection/transfer stations where the tasks of MSW collection and sorting the MSW into its constituents or sub-waste are performed. The second echelon represents locations where the sub-wastes are distributed to several technologies in order to produce valuable products. In the third echelon, these products are distributed to several markets to satisfy products demand. A stochastic two stage MILP model is formulated to examine the effects of the model parameter uncertainties. Due to the model complexity, a Bender decomposition algorithm is developed to find the model optimal solution. A case study will be presented to show the application of the mathematical programming formulation.
机译:垃圾填埋场中的市政府储存(MSW)的无意识储存是过去的传统实践。垃圾填埋场的经济,环境和社会影响是对MSW可持续利用的兴趣,以便带来价值。这是通过探索MSW成分的可能生产有价值的产品来实现的。在这项研究中,我们通过不同的梯度在不确定性下覆盖MSW供应链网络。第一个梯队表示采集/转移站,其中MSW收集的任务和将MSW分类成其成分或子垃圾。第二个梯队代表了将子废物分配给若干技术的位置,以便生产有价值的产品。在第三个梯队中,这些产品分布在几个市场,以满足产品需求。随机两级MILP模型被配制,以检查模型参数不确定性的影响。由于模型复杂性,开发了一种弯曲分解算法以找到型号最佳解决方案。将提出案例研究以显示数学规划配方的应用。

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