OOIR: Observatory of International Research

Papers

(The H4-Index of Computers & Industrial Engineering is 68. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Aquila Optimizer: A novel meta-heuristic optimization algorithm	1413
African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems	789
A review of applications in federated learning	595
Predictive maintenance in the Industry 4.0: A systematic literature review	526
Supply chain transparency through blockchain-based traceability: An overview with demonstration	297
Golden eagle optimizer: A nature-inspired metaheuristic algorithm	266
Blockchain-based framework for supply chain traceability: A case example of textile and clothing industry	264
A self-learning genetic algorithm based on reinforcement learning for flexible job-shop scheduling problem	259
Path planning optimization of indoor mobile robot based on adaptive ant colony algorithm	253
A literature review of blockchain technology applications in supply chains: A comprehensive analysis of themes, methodologies and industries	231
Improving supply chain resilience through industry 4.0: A systematic literature review under the impressions of the COVID-19 pandemic	215
Simulation in industry 4.0: A state-of-the-art review	166
Flow Direction Algorithm (FDA): A Novel Optimization Approach for Solving Optimization Problems	164
Smart production planning and control in the Industry 4.0 context: A systematic literature review	161
The electric vehicle routing problem and its variations: A literature review	159
The evolution of the Internet of Things (IoT) over the past 20 years	141
Blockchain in operations management and manufacturing: Potential and barriers	133
A novel enhanced whale optimization algorithm for global optimization	131
A cooperative water wave optimization algorithm with reinforcement learning for the distributed assembly no-idle flowshop scheduling problem	128
Machine learning applications in production lines: A systematic literature review	122
Deep reinforcement learning based AGVs real-time scheduling with mixed rule for flexible shop floor in industry 4.0	119
Decision analysis related to the renewable energy investments in Turkey based on a Fuzzy AHP-EDAS-Fuzzy FMEA approach	116
Optimal pricing and remanufacturing mode in a closed-loop supply chain of WEEE under government fund policy	111
Blockchain-based smart tracking and tracing platform for drug supply chain	107
Deep learning for diagnosis and classification of faults in industrial rotating machinery	105

A capacity planning approach for sustainable-resilient supply chain network design under uncertainty: A case study of vaccine supply chain	103
A systematic literature review of supply chain decision making supported by the Internet of Things and Big Data Analytics	102
Implementing Industry 4.0 principles	100
Analyzing a stochastic dual-channel supply chain under consumers’ low carbon preferences and cap-and-trade regulation	99
Dynamic multi-objective scheduling for flexible job shop by deep reinforcement learning	98
The experimental application of popular machine learning algorithms on predictive maintenance and the design of IIoT based condition monitoring system	93
Circular supply chains in the era of industry 4.0: A systematic literature review	93
Remaining useful life re-prediction methodology based on Wiener process: Subsea Christmas tree system as a case study	92
A review of Industry 4.0 characteristics and challenges, with potential improvements using blockchain technology	92
Multi-objective sustainable opened- and closed-loop supply chain under mixed uncertainty during COVID-19 pandemic situation	91
Industry 4.0 reference architectures: State of the art and future trends	90
Blockchain-based Supply Chain Traceability for COVID-19 personal protective equipment	90
Blockchain and edge computing technology enabling organic agricultural supply chain: A framework solution to trust crisis	87
Simulation-based assessment of supply chain resilience with consideration of recovery strategies in the COVID-19 pandemic context	86
The link between information and digital technologies of industry 4.0 and agile supply chain: Mapping current research and establishing new research avenues	80
Smart Working in Industry 4.0: How digital technologies enhance manufacturing workers' activities	80
An agent-based model for supply chain recovery in the wake of the COVID-19 pandemic	80
Coverage path planning for multiple unmanned aerial vehicles in maritime search and rescue operations	79
An improved iterated greedy algorithm for the distributed assembly permutation flowshop scheduling problem	79
An effective backtracking search algorithm for multi-objective flexible job shop scheduling considering new job arrivals and energy consumption	78
A production inventory model with interval-valued carbon emission parameters under price-sensitive demand	78
Medical waste management during coronavirus disease 2019 (COVID-19) outbreak: A mathematical programming model	77
Carbon emission reduction decisions of supply chain members under cap-and-trade regulations: A differential game analysis	76
Village 4.0: Digitalization of village with smart internet of things technologies	76
A Choquet integral based interval Type-2 trapezoidal fuzzy multiple attribute group decision making for Sustainable Supplier Selection	75
Leveraging digital capabilities toward a circular economy: Reinforcing sustainable supply chain management with Industry 4.0 technologies	75
Monitoring the coefficient of variation: A literature review	74
Global path planning based on a bidirectional alternating search A* algorithm for mobile robots	73
Analysis of Industry 4.0 challenges using best worst method: A case study	73
Truck scheduling optimization at a cold-chain cross-docking terminal with product perishability considerations	73
UAV based long range environment monitoring system with Industry 5.0 perspectives for smart city infrastructure	72
A cohesion-driven consensus reaching process for large scale group decision making under a hesitant fuzzy linguistic term sets environment	71
Sales mode selection of fresh food supply chain based on blockchain technology under different channel competition	71
A novel multi-variable grey forecasting model and its application in forecasting the grain production in China	70
Pathways for electric power industry to achieve carbon emissions peak and carbon neutrality based on LEAP model: A case study of state-owned power generation enterprise in China	69
A multi-objective scheduling method for distributed and flexible job shop based on hybrid genetic algorithm and tabu search considering operation outsourcing and carbon emission	69
A review of Pareto pruning methods for multi-objective optimization	69
Two-stage pricing strategies of a dual-channel supply chain considering public green preference	69
Optimal decisions for competitive manufacturers under carbon tax and cap-and-trade policies	69
Routing and scheduling in Home Health Care: A literature survey and bibliometric analysis	69
A novel hybrid multi-criteria group decision-making approach with intuitionistic fuzzy sets to design reverse supply chains for COVID-19 medical waste recycling channels	68
Novel approach to multi-attribute group decision-making based on interval-valued Pythagorean fuzzy power Maclaurin symmetric mean operator	68
Self-adaptive multi-objective evolutionary algorithm for flexible job shop scheduling with fuzzy processing time	68