Introducing a framework for a green smart coffee waste management system through Industry 4.0 technologies

Coffee brewing process generates large amounts of spent coffee grounds (SCG). SCGs are often disposed as general garbage and transported to landfills, where they produce methane, a greenhouse gas 25 times more powerful than carbon dioxide, contributing to global warming. Hence, an efficient waste management system is important for managing such waste. An efficient waste management system avoids the high operating costs and emissions through reducing unnecessary pickup trips and long routes. In this proposal, we introduce a vision for a smart waste management framework that utilizes live data and make decisions accordingly. Live data are collected through collecting bins sensors that provide the level of waste in its bin. The decision, through decision-making tools, include when to send truck for collection and which route to take. This considers increasing trucks fleet utilization, avoiding overflowing the bins, and reducing fleet’s operating costs by decreasing unnecessary trips and long routes.

Faculty Supervisor:

Soumaya Yacout;Amin Chaabane;Amin Chaabane

Student:

Partner:

Afmerica Technologie Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

École de technologie supérieure; Polytechnique Montréal

Program: