| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A cyber-physical production system for autonomous part quality control in polymer additive manufacturing material extrusion process
|
Castillo, Miguel
|
|
|
35 |
8 |
p. 3655-3679
|
article
|
| 2 |
A data driven sequential learning framework to accelerate and optimize multi-objective manufacturing decisions
|
Khosravi, Hamed
|
|
|
35 |
8 |
p. 4087-4112
|
article
|
| 3 |
A multi-agent based big data analytics system for viable supplier selection
|
Zekhnini, Kamar
|
|
|
35 |
8 |
p. 3753-3773
|
article
|
| 4 |
A predictive maintenance model for health assessment of an assembly robot based on machine learning in the context of smart plant
|
Chakroun, Ayoub
|
|
|
35 |
8 |
p. 3995-4013
|
article
|
| 5 |
Automatic model generation for material flow simulations of Third-Party Logistics
|
Steinbacher, Lennart M.
|
|
|
35 |
8 |
p. 3857-3874
|
article
|
| 6 |
Case study on delivery time determination using a machine learning approach in small batch production companies
|
Rokoss, Alexander
|
|
|
35 |
8 |
p. 3937-3958
|
article
|
| 7 |
Cloud material handling systems: a cyber-physical system to enable dynamic resource allocation and digital interoperability
|
Aron, Cosmin
|
|
|
35 |
8 |
p. 3815-3836
|
article
|
| 8 |
CNN architecture-based hybrid fusion model for in-situ monitoring to fabricate metal matrix composite by laser melt injection
|
Xu, Hongmeng
|
|
|
35 |
8 |
p. 4181-4200
|
article
|
| 9 |
Concept for the automated adaption of abstract planning domains for specific application cases in skills-based industrial robotics
|
Heuss, Lisa
|
|
|
35 |
8 |
p. 4233-4258
|
article
|
| 10 |
Conceptualizing the digital thread for smart manufacturing: a systematic literature review
|
Abdel-Aty, Tasnim A.
|
|
|
35 |
8 |
p. 3629-3653
|
article
|
| 11 |
Deep reinforcement learning for dynamic scheduling of energy-efficient automated guided vehicles
|
Zhang, Lixiang
|
|
|
35 |
8 |
p. 3875-3888
|
article
|
| 12 |
Designing an adaptive and deep learning based control framework for modular production systems
|
Panzer, Marcel
|
|
|
35 |
8 |
p. 4113-4136
|
article
|
| 13 |
Editorial for the special issue: AI and data-driven decisions in manufacturing
|
Dolgui, Alexandre
|
|
|
35 |
8 |
p. 3599-3604
|
article
|
| 14 |
Enterprise and service−level scheduling of robot production services in cloud manufacturing with deep reinforcement learning
|
Ping, Yaoyao
|
|
|
35 |
8 |
p. 3889-3916
|
article
|
| 15 |
Framework of knowledge management for human–robot collaborative mold assembly using heterogeneous cobots
|
Liau, Yee Yeng
|
|
|
35 |
8 |
p. 3713-3729
|
article
|
| 16 |
From framework to industrial implementation: the digital twin in process planning
|
Wagner, Sarah
|
|
|
35 |
8 |
p. 3793-3813
|
article
|
| 17 |
Intrinsic and post-hoc XAI approaches for fingerprint identification and response prediction in smart manufacturing processes
|
Puthanveettil Madathil, Abhilash
|
|
|
35 |
8 |
p. 4159-4180
|
article
|
| 18 |
Label synchronization for Hybrid Federated Learning in manufacturing and predictive maintenance
|
Llasag Rosero, Raúl
|
|
|
35 |
8 |
p. 4015-4034
|
article
|
| 19 |
Machine vision-based recognition of elastic abrasive tool wear and its influence on machining performance
|
Guo, Lei
|
|
|
35 |
8 |
p. 4201-4216
|
article
|
| 20 |
Managing product-inherent constraints with artificial intelligence: production control for time constraints in semiconductor manufacturing
|
May, Marvin Carl
|
|
|
35 |
8 |
p. 4259-4276
|
article
|
| 21 |
Mathematical modelling and a discrete cuckoo search particle swarm optimization algorithm for mixed model sequencing problem with interval task times
|
Zhang, Jiahua
|
|
|
35 |
8 |
p. 3837-3856
|
article
|
| 22 |
Multi agent reinforcement learning for online layout planning and scheduling in flexible assembly systems
|
Kaven, Lea
|
|
|
35 |
8 |
p. 3917-3936
|
article
|
| 23 |
Online performance and proactive maintenance assessment of data driven prediction models
|
Shen, Yingjun
|
|
|
35 |
8 |
p. 3959-3993
|
article
|
| 24 |
Optimization of processing parameters for waterjet-guided laser machining of SiC/SiC composites
|
Gao, Mengxuan
|
|
|
35 |
8 |
p. 4137-4157
|
article
|
| 25 |
Praxis: a framework for AI-driven human action recognition in assembly
|
Gkournelos, Christos
|
|
|
35 |
8 |
p. 3697-3711
|
article
|
| 26 |
Predictive reinforcement learning: map-less navigation method for mobile robot
|
Dobriborsci, Dmitrii
|
|
|
35 |
8 |
p. 4217-4232
|
article
|
| 27 |
Reinforcement learning for sustainability enhancement of production lines
|
Loffredo, Alberto
|
|
|
35 |
8 |
p. 3775-3791
|
article
|
| 28 |
Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)
|
Mäkiaho, Teemu
|
|
|
35 |
8 |
p. 4035-4054
|
article
|
| 29 |
Semantic part segmentation of spatial features via geometric deep learning for automated control cabinet assembly
|
Bründl, Patrick
|
|
|
35 |
8 |
p. 3681-3695
|
article
|
| 30 |
Shapley-based explainable AI for clustering applications in fault diagnosis and prognosis
|
Cohen, Joseph
|
|
|
35 |
8 |
p. 4071-4086
|
article
|
| 31 |
Survey on ontology-based explainable AI in manufacturing
|
Naqvi, Muhammad Raza
|
|
|
35 |
8 |
p. 3605-3627
|
article
|
| 32 |
The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge
|
Dang, Jr-Fong
|
|
|
35 |
8 |
p. 4055-4069
|
article
|
| 33 |
Towards a knowledge graph framework for ad hoc analysis in manufacturing
|
Meyers, Bart
|
|
|
35 |
8 |
p. 3731-3752
|
article
|
Journal description