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Multi-objective reverse logistics model for integrated computer waste management

机译：集成计算机废物管理的多目标逆向物流模型

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This study aimed to address the issues involved in the planning and design of a computer waste management system in an integrated manner. A decision-support tool is presented for selecting an optimum configuration of computer waste management facilities (segregation, storage, treatment/processing, reuse/recycle and disposal) and allocation of waste to these facilities. The model is based on an integer linear programming method with the objectives of minimizing environmental risk as well as cost. The issue of uncertainty in the estimated waste quantities from multiple sources is addressed using the Monte Carlo simulation technique. An illustrated example of computer waste management in Delhi, India is presented to demonstrate the usefulness of the proposed model and to study tradeoffs between cost and risk. The results of the example problem show that it is possible to reduce the environmental risk significantly by a marginal increase in the available cost. The proposed model can serve as a powerful tool to address the environmental problems associated with exponentially growing quantities of computer waste which are presently being managed using rudimentary methods of reuse, recovery and disposal by various small-scale vendors.
机译：这项研究旨在以集成的方式解决计算机废物管理系统的规划和设计中涉及的问题。提出了一种决策支持工具，用于选择计算机废物管理设施的最佳配置（分类，存储，处理/处理，重用/回收和处置）以及将废物分配给这些设施。该模型基于整数线性规划方法，其目标是最大程度地减少环境风险和成本。使用蒙特卡洛模拟技术解决了来自多个来源的估计废物量的不确定性问题。展示了印度德里的计算机废物管理示例，以证明该模型的有效性并研究成本与风险之间的权衡。示例问题的结果表明，可以通过少量增加可用成本来大大降低环境风险。所提出的模型可以作为解决与计算机废弃物成倍增长相关的环境问题的有力工具，目前，这些废弃物正由各种小规模供应商使用重复使用，回收和处置的基本方法进行管理。

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