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Smart Waste Management System for EcoCity

Smart Waste Management System for EcoCity

CASE STUDY 10

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Description
Current State
Overview and Summary

EcoCity, a progressive urban area with a population of over 500,000, is committed to sustainability and efficient resource management. Currently, the city's waste management system relies on a traditional schedule-based collection system, which often leads to inefficiencies such as overflowing bins, missed collections, and unnecessary pickups. The city aims to implement a Smart Waste Management System to enhance efficiency, reduce environmental impact, and improve resident satisfaction.


Problem Statement

The current waste management system in EcoCity is inefficient and outdated, resulting in:

  • Overflowing bins and missed collections, leading to public health and aesthetic issues.

  • Unnecessary pickups, increasing fuel consumption and operational costs.

  • Lack of real-time data on bin status and collection efficiency.

  • Challenges in optimizing collection routes and schedules.

  • Limited engagement and feedback mechanisms for residents.



Objectives of the New Smart Waste Management System
  • Optimize waste collection schedules and routes using real-time data.

  • Reduce instances of overflowing bins and missed collections.

  • Decrease operational costs by minimizing unnecessary pickups.

  • Enhance data collection and reporting for better decision-making.

  • Improve resident engagement and feedback on waste management services.


Business Objectives and Success Criteria
  • Business Objective 1: Reduce operational costs of waste collection by 30% within the first year.

  • Business Objective 2: Decrease instances of overflowing bins by 50% within 6 months.

  • Business Objective 3: Improve resident satisfaction with waste management services by 40% within the first year.

  • Business Objective 4: Increase recycling rates by 20% within the first 6 months.


Future State
Client Requirements
  • The system shall provide real-time monitoring of bin status (fill levels, location).

  • The system shall use data analytics to optimize collection routes and schedules.

  • The system shall include a mobile app and website for residents to provide feedback and receive notifications.

  • The system shall support automated reporting and data visualization for city planners.

  • The system shall include alerts for bins nearing capacity to prevent overflows.

  • The system shall integrate with existing waste management infrastructure.


System Requirements
  • Scalability and Performance: The system should support up to 5,000 smart bins and ensure quick response times for data processing and alerts.

  • Usability: The user interface should be intuitive and easy to navigate for both city staff and residents.

  • Security: The system must ensure secure access to data and comply with data protection regulations.

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