Computational Intelligence in Remanufacturing

Author: Bo Xing   Wen-Jing Gao  

Publisher: IGI Global‎

Publication year: 2013

E-ISBN: 9781466649095

P-ISBN(Paperback): 9781466649088

Subject: TP18 artificial intelligence theory

Language: ENG

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Description

In attempts to reduce greenhouse gas emissions, many alternatives to manufacturing have been recommended from a number of international organizations. Although challenges will arise, remanufacturing has the ability to transform ecological and business value. Computational Intelligence in Remanufacturing introduces various computational intelligence techniques that are applied to remanufacturing-related issues, results, and lessons from specific applications while highlighting future development and research. This book is an essential reference for students, researchers, and practitioners in mechanical, industrial, and electrical engineering.

Chapter

Acknowledgment

Introduction

Introduction to Remanufacturing and Reverse Logistics

Overview of Computational Intelligence

Retrieval

Used Products Return Pattern Analysis Using Agent-Based Modelling and Simulation

Used Product Collection Optimization Using Genetic Algorithms

Used Product Remanufacturability Evaluation Using Fuzzy Logic

Used Product Pre-Sorting System Optimization Using Teaching-Learning-Based Optimization

Used Product Delivery Optimization Using Agent-Based Modelling and Simulation

Reproduction

Post-Disassembly Part-Machine Clustering Using Artificial Neural Networks and Ant Colony Systems

Reprocessing Operations Scheduling Using Fuzzy Logic and Fuzzy MAX-MIN Ant Systems

Reprocessing Cell Layout Optimization Using Hybrid Ant Systems

Re-Machining Parameter Optimization Using Firefly Algorithms

Redistribution

Batch Order Picking Optimization Using Ant System

Complex Adaptive Logistics System Optimization Using Agent-Based Modelling and Simulation

Epilogue

Conclusions and Emerging Topics

Compilation of References

About the Contributors

Index

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