School of Management, National Institute of Technology Agartala, Agartala, Tripura, India.
Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India.
Environ Sci Pollut Res Int. 2023 Sep;30(43):97734-97753. doi: 10.1007/s11356-023-29067-7. Epub 2023 Aug 19.
Recycling solid plastic waste is helpful for resource utilisation in a sustainable manner, and this can lead to reverse logistics to recover waste in supply chain management. In developing economies, it is very essential to recover waste and recycle it, as mismanagement of it could hasten the development of negative socioeconomic and environmental issues. This paper investigates plastic waste recycling by means of reverse logistics management. We feature Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), which is a multi-criteria decision-making approach to selecting a suitable warehouse that will assist the decision-maker and supply the product to the re-manufacturing cell by inspecting the waste. The paper also focuses on the carbon emissions that are emitted during re-manufacturing through a mathematical model that minimises the total cost and total carbon emissions. A case study of the plastic re-manufacturing industry in Tripura, India, is shown here to present the steps of the decision support system. The model is programmed with real-life data from the case study and yields a total cost of Rs. 2894.37 and total emissions of 414.15 gm/lt, when the disposal cost is considered; without it, the total cost is Rs. 2668.69 and the total emissions are 413.54 gm/lt. The results obtained are promising for reducing carbon emissions from the recycling process of plastic waste at a lower cost. This research will also help the environment cope with plastic waste, which has become a threat to nature, as well as carbon emissions that come from the industry. Finally, some managerial insights and suitable analyses with pictorial representation are proposed.
回收固体塑料废物有助于以可持续的方式利用资源，这可以导致逆向物流来回收供应链管理中的废物。在发展中经济体中，回收和回收废物非常重要，因为如果管理不善，可能会加速负面社会经济和环境问题的发展。本文通过逆向物流管理研究塑料废物回收。我们采用逼近理想解的排序方法（TOPSIS），这是一种多准则决策方法，用于选择合适的仓库，通过检查废物为再制造单元提供产品，协助决策者。本文还侧重于通过最小化总成本和总碳排放量的数学模型来研究再制造过程中排放的碳。这里展示了印度特里普拉邦塑料再制造行业的案例研究，以展示决策支持系统的步骤。该模型使用案例研究中的实际数据进行编程，并在考虑处置成本时产生总成本为 2894.37 卢比，总排放量为 414.15 克/升；如果不考虑处置成本，则总成本为 2668.69 卢比，总排放量为 413.54 克/升。这些结果有望降低塑料废物回收过程中的碳排放，同时降低成本。这项研究还将有助于环境应对塑料废物的威胁，以及来自该行业的碳排放。最后，提出了一些管理见解和合适的分析，并附有图片表示。
