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Related Concept Videos

Distributed Loads: Problem Solving01:21

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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Behavior-based swarm model using fuzzy controller for route planning and E-waste collection.

Khalid Mujasam Batoo1, Saravanan Pandiaraj2, Muthumareeswaran Muthuramamoorthy3

  • 1King Abdullah Institute for Nanotechnology, College of Science, King Saud University, Riyadh, Saudi Arabia. kbatoo@ksu.edu.sa.

Environmental Science and Pollution Research International
|March 20, 2021
PubMed
Summary
This summary is machine-generated.

Household electronic waste (e-waste) poses environmental and health risks. A behavior-based swarm model using a fuzzy controller (BSFC) optimizes e-waste collection routes, reducing costs and improving timely pickups.

Keywords:
Behavior-based roboticsE-waste collectionE-waste transportationFuzzy controllerSearch and rescueVirtual leaderWEEE

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Area of Science:

  • Environmental Science
  • Computer Science
  • Operations Research

Background:

  • Growing consumption of electronics leads to increased household e-waste generation.
  • Improper e-waste disposal poses significant environmental burdens and health risks due to toxic chemicals.
  • Current e-waste collection methods often result in negative health and environmental impacts, including air pollution.

Purpose of the Study:

  • To propose an efficient e-waste collection system using a behavior-based swarm model with a fuzzy controller (BSFC).
  • To address the vehicle routing problem for a heterogeneous fleet of e-waste collection vehicles with time window constraints.
  • To develop an online system for household e-waste collection requests and optimize routing.

Main Methods:

  • Implementation of a behavior-based swarm model using a fuzzy controller (BSFC).
  • Application of the BSFC algorithm to solve the time-window constrained vehicle routing problem for e-waste collection.
  • Development of an online request system integrated with the routing optimization.

Main Results:

  • Demonstrated decrease in e-waste collection costs.
  • Achieved on-time e-waste collection from households.
  • Validated the approach through implementation in urban settings in China and India.

Conclusions:

  • The proposed BSFC model significantly enhances vehicle routing plans for efficient e-waste collection.
  • The system offers positive social impacts, particularly in urban waste management.
  • The approach provides a viable solution for managing the growing challenge of household e-waste.