Suchergebnisse - (processes—computers OR (process—compilers OR process—computer)) general terms algorithms*

Machine learning in supply chain management: systematic literature review and future research agenda.

Autoren: Vlachos, Ilias Reddy, Pulagam Gautam

Quelle: International Journal of Production Research; Aug2025, Vol. 63 Issue 16, p5987-6016, 30p

Schlagwörter: MACHINE learning, SUPPLY chain management, SUPPLY chain disruptions, ARTIFICIAL intelligence, DEMAND forecasting

Automated analysis and textual summarization of time-varying references in advanced greenhouse climate control.

Autoren: Naagarajan, Ramesh Arvind Sathyanarayanan, Kiran Kumar Bauer, Nadja et al.

Quelle: Frontiers in Agronomy; 2025, p1-18, 18p

Schlagwörter: CLIMATE in greenhouses, PREDICTIVE control systems, CHANGE-point problems, TEXT summarization, AUTOMATIC summarization, SUSTAINABLE agriculture, ALGORITHMS

Integrating digital twin and blockchain for responsive working capital management in supply chains facing financial disruptions.

Autoren: Badakhshan, Ehsan Ivanov, Dmitry

Quelle: International Journal of Production Research; Nov2025, Vol. 63 Issue 21, p7800-7834, 35p

Schlagwörter: WORKING capital, SUPPLY chains, MARKET volatility, INFORMATION sharing, BLOCKCHAINS, DIGITAL twin

Study on Energy Efficiency and Maintenance Optimization of Run-Out Table in Hot Rolling Mills Using Long Short-Term Memory-Autoencoders.

Autoren: Yun, Ju-Woong Choi, So-Won Lee, Eul-Bum

Quelle: Energies (19961073); May2025, Vol. 18 Issue 9, p2295, 40p

Schlagwörter: LONG short-term memory, INDUSTRIAL productivity, ROLLING-mills, HOT rolling, ARTIFICIAL intelligence

Research on intra-layer partition adaptive slicing algorithm for fused deposition modeling.

Autoren: Shen, Sijia He, Ketai Yu, Biqiang et al.

Quelle: Rapid Prototyping Journal; 2025, Vol. 31 Issue 11, p110-130, 21p

Schlagwörter: SURFACE finishing, THREE-dimensional printing, IMPACT strength, BOND strengths, ALGORITHMS, FUSED deposition modeling

Computational Optimization of Preventive Maintenance Schedules in Repairable Mechanical Systems Using NSGA-II.

Autoren: Salehpour, Iman Bavarsad Shahrokhi, Mahmoud

Quelle: Journal of Computational Applied Mechanics; Oct2025, Vol. 56 Issue 4, p882-911, 30p

Schlagwörter: MAINTENANCE costs, SYSTEMS availability, RELIABILITY in engineering, CATHODIC protection, MULTI-objective optimization, COMPUTERIZED maintenance management systems, OPTIMIZATION algorithms, ENGINEERING systems

Unsteady two dimensional flow of non-newtönian fractional Casson fluid for an edge with heated boundaries.

Autoren: Nadeem, Sohail Hafeez, Kanwal Alzabut, Jehad et al.

Quelle: Scientific Reports; 11/4/2025, Vol. 15 Issue 1, p1-17, 17p

Schlagwörter: NON-Newtonian fluids, FRACTIONAL calculus, THERMAL properties, ANALYTICAL solutions, MAGNETIC fields, VISCOELASTIC materials, PULSATILE flow, HEAT transfer

Are algorithms always fair? The study on public preferences toward algorithmic decision‐making: A case study from the perspectives of decision scenarios and social roles.

Autoren: Wang, Bing Luo, Longxiang Wang, Xiuli

Quelle: Economics & Politics; Mar2025, Vol. 37 Issue 1, p420-441, 22p

Schlagwörter: FAIRNESS, SOCIAL role, DISCLOSURE, PUBLIC opinion, SOCIAL influence, AUTONOMY (Philosophy), STATISTICAL decision making, DECISION making

Leveraging physics-based optimization and singular value decomposition for enhanced structural damage detection.

Autoren: Tran, Hoa Ngoc Nguyen, Quyet Huu Bui, Thanh Tien

Quelle: Engineering Computations; 2025, Vol. 42 Issue 6, p2156-2178, 23p

Schlagwörter: SINGULAR value decomposition, STRUCTURAL health monitoring, ALGORITHMS, STRUCTURAL analysis (Engineering), BRIDGE design & construction, MECHANICAL efficiency, FINITE element method, OPTIMIZATION algorithms

Solving multi-scenario hybrid flow shop scheduling problem based on an improved probe machine model.

Autoren: Tian, Xiang Kong, Yang Liu, Xiyu

Quelle: PLoS ONE; 9/3/2025, Vol. 20 Issue 9, p1-39, 39p

Schlagwörter: FLOW shop scheduling, COMBINATORIAL optimization, DATA libraries, MANUFACTURING industries, SCHEDULING, BENCHMARK problems (Computer science), CONSTRAINT programming

A model of knowledge chain integration for complex product R&D projects based on DSM and TCPN.

Autoren: Tian, Shuo Liu, Yike Chen, Yong et al.

Quelle: Systems Research & Behavioral Science; Jul/Aug2025, Vol. 42 Issue 4, p1195-1209, 15p

Schlagwörter: INTELLECT, SCALE analysis (Psychology), STRUCTURAL models, INTERPROFESSIONAL relations, DIFFUSION of innovations, CLUSTERING algorithms, CLUSTER analysis (Statistics), RESEARCH funding, ARTIFICIAL intelligence, NEW product development, SYSTEMS theory, CLASSIFICATION of mental disorders, DESCRIPTIVE statistics, MATHEMATICAL models, THEORY, CASE studies, DATA analysis software, TIME

Deep learning-based image segmentation for defect detection in additive manufacturing: an overview.

Autoren: Deshpande, Sourabh Venugopal, Vysakh Kumar, Manish et al.

Quelle: International Journal of Advanced Manufacturing Technology; Sep2024, Vol. 134 Issue 5/6, p2081-2105, 25p

Schlagwörter: TRANSFORMER models, IMAGE segmentation, CLOSED loop systems, ALGORITHMS, COMPUTERS

Scheduling of steelmaking-continuous casting process by integrating deep neural networks with mixed integer programming.

Autoren: Shin, Woo-Jin Lee, Sang-Wook Lee, Jun-Ho et al.

Quelle: International Journal of Production Research; Jun2025, Vol. 63 Issue 11, p4180-4201, 22p

Schlagwörter: ARTIFICIAL neural networks, ARTIFICIAL intelligence, INTEGER programming, FLOW shops, TRAINING of engineers

Increasing productivity by generating optimal cutting patterns in the rolling mill of Shahid Bahonar Copper Industries Corporation.

Autoren: Ghafari, Fereshteh Asadi, Yasaman Salajegheh, Ali et al.

Quelle: International Journal of Production Research; Jun2025, Vol. 63 Issue 11, p4086-4113, 28p

Schlagwörter: CUTTING stock problem, SETUP time, COPPER industry, ROLLING-mills, SHEET metal

Enhancing Biomedical Metal 3D Printing with AI and Nanomaterials Integration.

Autoren: Liu, Jackie Jeevanandam, Jaison Danquah, Michael K.

Quelle: Metals (2075-4701); Oct2025, Vol. 15 Issue 10, p1163, 29p

Schlagwörter: ARTIFICIAL intelligence, NANOSTRUCTURED materials, THREE-dimensional printing, MEDICAL sciences, METALS in surgery, MACHINE learning, RAPID prototyping, PERFORMANCE-based design

A novel bi-level multi-objective genetic algorithm for integrated assembly line balancing and part feeding problem.

Autoren: Chen, Junhao Jia, Xiaoliang He, Qixuan

Quelle: International Journal of Production Research; Jan2023, Vol. 61 Issue 2, p580-603, 24p, 15 Diagrams, 8 Charts, 1 Graph

Schlagwörter: ASSEMBLY line balancing, GENETIC algorithms, MATHEMATICAL models, PROBLEM solving

A large-scale group decision-making approach for quality function deployment based on Dempster-Shafer evidence theory and hierarchical clustering algorithm.

Autoren: Liu, Zhengmin Feng, Xuan Zhang, Jihao et al.

Quelle: Applied Intelligence; Oct2025, Vol. 55 Issue 15, p1-36, 36p

ESDN: edge computing task scheduling strategy based on dilated convolutional neural network and quasi-newton algorithm.

Autoren: Liu, Haoyu Tian, Le Guo, Maozu

Quelle: Cluster Computing; Jun2025, Vol. 28 Issue 3, p1-22, 22p

Schlagwörter: CONVOLUTIONAL neural networks, OPTIMIZATION algorithms, ARTIFICIAL intelligence, EDGE computing, COMPUTER systems

Modern Systems for Nuclear Fuel Storage and Monitoring: An Analysis of Technological Trends, Challenges, and Future Perspectives.

Autoren: Godea, Bogdan-Teodor Gogorici, Ana Iordache, Daniela-Monica et al.

Quelle: Energies (19961073); Sep2025, Vol. 18 Issue 18, p5030, 24p

Schlagwörter: NUCLEAR fuels, SUSTAINABILITY, SYSTEM integration, ELECTRONIC surveillance, STORAGE facilities, TECHNOLOGICAL innovations, RADIOLOGICAL health risk

Application of Discrete Event Simulation in the Analysis of Electricity Consumption in Logistics Processes.

Autoren: Pawlak, Szymon Saternus, Mariola Nowacki, Krzysztof

Quelle: Energies (19961073); Sep2025, Vol. 18 Issue 17, p4580, 18p

Schlagwörter: ELECTRIC power consumption, ENERGY consumption, DISCRETE event simulation, DIGITAL technology, LOGISTICS, SUSTAINABLE development, FORKLIFT trucks, INDUSTRY 4.0