Carbon mechanism on sustainable multi-objective solid transportation problem for waste management in Pythagorean hesitant fuzzy environment

A sustainable green reverse logistics plan for plastic solid waste management using TOPSIS method

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.

A robust, sustainable, resilient, and responsive model for forward/reverse logistics network design with a new approach based on horizontal collaboration

Optimizing the strategic and tactical decisions regarding sustainability and resilience is important because they affect the performance of the supply chain over a long period. This study proposes a new multi-objective model for resilient, sustainable, and responsive forward/reverse logistics network design considering cost, social responsibility, CO2 emission, water consumption, responsiveness time, and collaboration risk. The most significant impacts on costs are identified using the design of experiments, and a robust optimization method is applied to deal with operational risk. In addition, horizontal collaboration for the first time as a quantitative model is suggested to deal with the disruption risk. Also, a multi-objective solving algorithm with a new aggregation model is developed, and the efficiency of the proposed solution method is shown. The analysis of results based on the iron and steel industries shows the efficiency of resilience strategies and the improvement of costs, sustainability and responsiveness indicators. Also, the findings demonstrate that collaboration has a higher performance than fortification. Finally, managers and supply chain decision-makers are provided with managerial implications to make more effective decisions about the supply chain network design, technology selection, supply chain sustainability, and collaborators selection, using the presented results.