Optimisation Of Construction And Demolition Waste Routing Using Mixed Integer Linear Programming
DOI:
https://doi.org/10.64252/x1abss29Keywords:
Construction and Demolition Waste (C&D Waste), Waste Collection Optimization, Mixed-Integer Linear Programming (MILP), Vehicle Routing Problem (VRP), Sustainable Waste Management, Recycling Centre AllocationAbstract
The construction industry is under increasing pressure to reduce costs. At the same time, there is also a demand to improve environmental quality. These two goals can be achieved simultaneously. Construction and demolition (C&D) waste is a major source of waste in large volumes and weights. Most of the waste is dumped in landfills. This study examines recycling efforts being made to reduce the amount of waste. It focuses on reducing C & D waste dumped in landfills. The study evaluates the current waste disposal system in the context of environmental, social and economic challenges associated with the system. The study then presents practical solutions. These solutions help to manage this type of waste in a cost-effective and environmentally friendly way. Also, this study assesses the possibilities of establishing a C & D waste recycling centre. Finally, it analyses the main benefits and potential challenges of such a centre. Emerging economies like India is experiencing a rapid increase in construction and demolition waste, which is usually dumped into landfills. This is not only damaging the environment but also degrading land and resources. This research analyses the potential for recycling waste and the environmental, social and economic challenges of the current disposal system. The study found that establishing an effective recycling facility can reduce the amount of waste, provide economic benefits and employment opportunities while also protect the environment. However, there are some financial, policy-making and awareness-related barriers to implementation. Nevertheless, this initiative can be a positive step towards sustainable development of the country.