Development of a Decision Support System Prototype for Time and Cost Reduction in Collecting Recyclable Waste

Abstract

Recycling has been pushed as a way to cut waste globally. The time and expense involved in gathering recyclable material to transport to recycling sites is one problem with recycling. Due to this issue, some waste pickers/waste buyers choose not to collect recyclable waste, preventing its recycling. Waste pickers / waste buyers wandering into homes without knowing where the recyclable rubbish is causes time and money to be spent collecting it. They will make more money while spending less if they can get recyclable waste at a reasonable cost and in a short amount of time. The goal of this study is to create a prototype for a decision support system that will lower transportation cost for collecting recyclable waste. The community's waste pickers and homes should both employ this system. The amount of each recyclable garbage generated by each home will be filled in. Additionally, all information about the overall amount of each recyclable trash type as well as specifics about the amount of garbage produced by each household will be automatically summarized. The waste pickers / waste buyers will use the data/information from this system to decide where, when, and how to collect recyclable waste. They no longer have to visit every home on a regular basis. To develop this system, we follow the software development life cycle (SDLC). This decision support system prototype is easily adaptable to suit the needs of any unique community. The recycling system can be effectively supported by this decision support system. More benefits might be anticipated if the cost is lowered. To create a cleaner planet, more recyclable waste will be collected and sent to recycling.