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Updated: Jul 11, 2025

Operation of the Collaborative Composite Manufacturing CCM System

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

Multi-agent collaborative model of e-waste recycling.

Ming Gao¹, Yufan Chen¹

¹School of Economics and Management, Fuzhou University, 2 Xueyuan Road, Fuzhou, 350116, China; Fujian Green Development Research Institute, Fuzhou University, 2 Xueyuan Road, Fuzhou, 350116, China.

Journal of Environmental Management

|November 2, 2023

Summary

This summary is machine-generated.

Effective e-waste recycling requires a dynamic rewards and penalties system. Optimizing this mechanism fosters stable cooperation among governments, producers, and consumers for better environmental outcomes.

Keywords:

E-waste Evolutionary games Multi-agent collaborative model Rewards-and-penalties mechanism System dynamics

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Area of Science:

Environmental Science
Game Theory
Systems Dynamics

Background:

Exploding e-waste production necessitates improved recycling cooperation.
Current multi-agent collaboration models for e-waste recycling face challenges.

Purpose of the Study:

To examine a multi-agent collaborative model for e-waste recycling.
To analyze the impact of rewards and penalties on cooperation stability and efficiency.

Main Methods:

Employing evolutionary games to analyze strategy choices.
Utilizing system dynamics to model decision-making processes.

Main Results:

Static rewards/penalties hinder stable cooperation.
Dynamic mechanisms improve stability, but producer buy-in varies.
Optimized dynamic mechanisms ensure consistent producer and consumer participation.
Increased reward/penalty levels accelerate collaborative evolution.

Conclusions:

Dynamic and optimized rewards-and-penalties mechanisms are crucial for stable and efficient e-waste recycling.
Policy implications focus on enhancing collaboration among local governments, producers, and consumers.