Intelligent Retrieval and Reuse in Product Manufacturing: A Comprehensive Analysis of Current Practices and Future Directions

In the quest for efficiency and innovation in manufacturing, intelligent retrieval and reuse technologies have emerged as critical strategies for optimizing the manufacturing processes of electromechanical products. This study systematically reviews 140 seminal theoretical contributions from 2010 to 2024, examining the current status, key technologies, and specific implementations within the manufacturing sector. The analysis categorizes intelligent retrieval into six distinct methods and examines reuse from four key dimensions, revealing a fundamental trade-off between efficiency and flexibility. By synthesizing the key technological evolution trends and primary system bottlenecks, this research provides actionable guidance for researchers and practitioners to navigate future challenges and opportunities in the field.

Authors

Institutions

Publication Details

Journal
Journal of Intelligent & Fuzzy Systems
Published
2025-08-19
DOI
https://doi.org/10.1177/18758967251367065
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intelligent Retrieval and Reuse in Product Manufacturing: A Comprehensive Analysis of Current Practices and Future Directions

J. Wang, Zhongyi Wu, Zhe Chen, Cheng Liang
Journal of Intelligent & Fuzzy Systems
Manufacturing Process and Optimization
article

Intelligent Retrieval and Reuse in Product Manufacturing: A Comprehensive Analysis of Current Practices and Future Directions

J. Wang, Zhongyi Wu, Zhe Chen, Cheng Liang
article en

Abstract

In the quest for efficiency and innovation in manufacturing, intelligent retrieval and reuse technologies have emerged as critical strategies for optimizing the manufacturing processes of electromechanical products. This study systematically reviews 140 seminal theoretical contributions from 2010 to 2024, examining the current status, key technologies, and specific implementations within the manufacturing sector. The analysis categorizes intelligent retrieval into six distinct methods and examines reuse from four key dimensions, revealing a fundamental trade-off between efficiency and flexibility. By synthesizing the key technological evolution trends and primary system bottlenecks, this research provides actionable guidance for researchers and practitioners to navigate future challenges and opportunities in the field.

Journal of Intelligent & Fuzzy SystemsVol. 50(3)
Nanchang University (CN), North China University of Water Resources and Electric Power (CN), Jiangxi Provincial Institute of Water Sciences (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 70%
Manufacturing Process and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Intelligent Retrieval and Reuse in Product Manufacturing: A Comprehensive Analysis of Current Practices and Future Directions — J. Wang, Zhongyi Wu, et al. · Journal of Intelligent & Fuzzy Systems (2025) | TGRS Research Map | TGRS