International Journal of Computer Integrated Manufacturing

Papers
(The TQCC of International Journal of Computer Integrated Manufacturing is 8. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing146
Industry 4.0: survey from a system integration perspective80
Digital twin for smart manufacturing: a review of concepts towards a practical industrial implementation64
A review of multiple degrees of freedom for additive manufacturing machines63
Blockchain for supply chain quality management: challenges and opportunities in context of open manufacturing and industrial internet of things58
Digital twin in manufacturing: conceptual framework and case studies51
A digital twin-driven approach towards smart manufacturing: reduced energy consumption for a robotic cell40
User acceptance of virtual reality technology for practicing digital twin-based crisis management39
A Cloud-based Digital Twin Manufacturing System based on an Interoperable Data Schema for Smart Manufacturing36
An approach to develop a digital twin for industry 4.0 systems: manufacturing automation case studies33
Design of graded lattice structures in turbine blades using topology optimization32
Automated fault detection for additive manufacturing using vibration sensors31
Leather defect classification and segmentation using deep learning architecture30
Digital twins in human understanding: a deep learning-based method to recognize personality traits29
Effects of augmented reality glasses on the cognitive load of assembly operators in the automotive industry27
Digital-twin-driven production logistics synchronization system for vehicle routing problems with pick-up and delivery in industrial park26
KGAssembly: Knowledge graph-driven assembly process generation and evaluation for complex components26
Prepared for work in Industry 4.0? Modelling the target activity system and five dimensions of worker readiness25
An integrated multi-stage vehicle routing and mixed-model job-shop-type robotic disassembly sequence scheduling problem for e-waste management system25
A manufacturing innovation overview: concepts, models and metrics24
A digital twin-enabled value stream mapping approach for production process reengineering in SMEs24
Energy trade market effect on production scheduling: an Industrial Product-Service System (IPSS) approach23
Smart manufacturing: a framework for managing performance23
Digital twin for human-machine interaction with convolutional neural network23
Digital twin-enabled smart industrial systems: a bibliometric review23
Closed-loop digital twin system for air cargo load planning operations22
Prioritization of barriers for Industry 4.0 adoption in the context of Indian manufacturing industries using AHP and ANP analysis21
A utility-aware multi-task scheduling method in cloud manufacturing using extended NSGA-II embedded with game theory20
Accurate screw detection method based on faster R-CNN and rotation edge similarity for automatic screw disassembly20
Virtual reality simulation of human-robot coexistence for an aircraft final assembly line: process evaluation and ergonomics assessment19
Collaborative robot task allocation on an assembly line using the decision support system19
Barriers to adoption of industry 4.0 and sustainability: a case study with SMEs18
Causal effect analysis of logistics processes risks in manufacturing industries using sequential multi-stage fuzzy cognitive map: a case study18
Identifying the driving and moderating factors of Malaysian SMEs’ readiness for Industry 4.018
Digital twin-enabled smart industrial systems: recent developments and future perspectives18
Review of Digital Twin-based Interaction in Smart Manufacturing: Enabling Cyber-Physical Systems for Human-Machine Interaction18
Social life cycle performance of additive manufacturing in the healthcare industry: the orthosis and prosthesis cases17
A hybrid 3D feature recognition method based on rule and graph17
Agile product development process transformation to support advanced one-of-a-kind manufacturing16
(AIAM2019) Artificial Intelligence in Software Engineering and inverse: Review16
Towards an information semantic interoperability in smart manufacturing systems: contributions, limitations and applications16
Understanding vulnerabilities in cyber physical production systems15
Adaptive variable layer thickness and perimetral offset planning for layer-based additive manufacturing processes15
A preference-based multi-objective algorithm for optimal service composition selection in cloud manufacturing15
A case-practice-theory-based method of implementing energy management in a manufacturing factory15
A hybrid algorithm combining genetic algorithm and variable neighborhood search for process sequencing optimization of large-size problem15
Simulation-based planning system for shipbuilding14
Design of a business readiness model to realise a green industry 4.0 company14
Machine-learning-based monitoring and optimization of processing parameters in 3D printing14
An integrated multi-objective optimization approach to determine the optimal feature processing sequence and cutting parameters for carbon emissions savings of CNC machining14
Digital twins in manufacturing: systematic literature review for physical–digital layer categorization and future research directions14
An automatic machining process decision-making system based on knowledge graph14
Intelligent machining: a review of trends, achievements and current progress13
A survey of machine learning in additive manufacturing technologies13
Versatile edge gateway for improving manufacturing supply chain management via collaborative networks13
Creation of a UX index to design human tasks and workstations13
A data-driven robust optimization method for the assembly job-shop scheduling problem under uncertainty13
A personalized method of cloud manufacturing service customization13
Practical simultaneous scheduling of machines, AGVs, tool transporter and tools in a multi machine FMS using symbiotic organisms search algorithm12
Machine learning algorithms for the prediction of the strength of steel rods: an example of data-driven manufacturing in steelmaking12
Non-contact surface roughness evaluation of milling surface using CNN-deep learning models12
Towards engineering manufacturing systems for mass personalisation: a stigmergic approach12
An augmented reality software suite enabling seamless human robot interaction12
Examining smart manufacturing challenges in the context of micro, small and medium enterprises12
An optical system for identifying and classifying defects of metal parts12
A cyber-physical system architecture based on lean principles for managing industry 4.0 setups12
CAD-integrated design for manufacturing and assembly in mechanical design12
Dynamic scheduling of manufacturing systems: a product-driven approach using hyper-heuristics12
Lean techniques impact evaluation methodology based on a co-simulation framework for manufacturing systems11
Precision and energy-efficient ball-end milling of Ti6Al4V turbine blades using particle swarm optimization11
Optimization of complex part-machining services based on feature decomposition in cloud manufacturing11
Digital ergonomics: an evaluation framework for the ergonomic risk assessment of heterogeneous workers11
An adaptive process of reverse engineering from point clouds to CAD models11
Architecture and knowledge modelling for self-organized reconfiguration management of cyber-physical production systems11
Design method of human–industrial robot collaborative workstation with industrial application11
Integrated fault-tolerant control of assembly and automated guided vehicle-based transportation layers11
An approach of CAD/CAM data reuse for manufacturing cost estimation10
An industry 4.0 approach to electric vehicles10
Contextual classification for smart machining based on unsupervised machine learning by Gaussian mixture model10
Human-robot activity allocation algorithm for the redesign of manual assembly systems into human-robot collaborative assembly10
Impact of total quality management on industry 4.0 readiness and practices: does firm size matter?10
Data analytics in quality 4.0: literature review and future research directions9
The state-of-the-art of wire arc directed energy deposition (WA-DED) as an additive manufacturing process for large metallic component manufacture9
A machine learning approach to quality monitoring of injection molding process using regression models9
Autonomous robotic platform for inspection and repairing operations in harsh environments9
Deep learning for industrial image: challenges, methods for enriching the sample space and restricting the hypothesis space, and possible issue9
A multi-agent and internet of things framework of digital twin for optimized manufacturing control9
Smart manufacturing systems: a futuristics roadmap towards application of industry 4.0 technologies9
A smart reporting framework as an application of multi-agent system in machining industry9
An improved automatic defect identification system on natural leather via generative adversarial network9
A novel hybrid algorithm for large-scale composition optimization problems in cloud manufacturing9
Design of intelligent manufacturing system based on digital twin for smart shop floors9
Assessing the impact of socio-technical interventions on shop floor work practices8
Polytope-based tolerance analysis with consideration of form defects and surface deformations8
Fault diagnosis method for disc slitting machine based on wavelet packet transform and support vector machine8
Development of programmable system on chip-based weld monitoring system for quality analysis of arc welding process8
A framework for cyber-physical production system management and digital twin feedback monitoring for fast failure recovery8
Development of automated feature extraction and convolutional neural network optimization for real-time warping monitoring in 3D printing8
A multi-criteria decision tool for FMEA in the context of product development and industry 4.08
Using Machine-Learning techniques and Virtual Reality to design cutting tools for energy optimization in milling operations8
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