Multi-Objective optimization of selective maintenance process considering profitability and personnel energy consumption

Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 110870 - 110870

Published: Jan. 1, 2025

Language: Английский

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Human-robot collaborative disassembly in Industry 5.0: A systematic literature review and future research agenda

Journal of Manufacturing Systems, Journal Year: 2025, Volume and Issue: 79, P. 199 - 216

Published: Jan. 27, 2025

Language: Английский

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An adaptive genetic algorithm based on Q-learning for energy-efficient e-waste disassembly line balancing and rebalancing considering task failures

Journal of Manufacturing Systems, Journal Year: 2025, Volume and Issue: 80, P. 1 - 19

Published: Feb. 26, 2025

Language: Английский

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Multi-manned disassembly line balancing problems for retired power batteries based on hyper-heuristic reinforcement

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 194, P. 110400 - 110400

Published: July 19, 2024

Language: Английский

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A Multiobjective Optimization of Laser Powder Bed Fusion Process Parameters to Reduce Defects by Modified Taguchi Method

steel research international, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 6, 2025

This study investigates the optimization of process parameters in laser powder bed fusion (LPBF) to minimize defects caused by insufficient melting and vaporization metal powder. The research employs a simulation method that incorporates effects tackle multiobjective problem selective (SLM), utilizing Taguchi for systematic analysis. Validation approach is conducted comparing it with experimental results from Verhaeghe et al. (Acta Mater. 2009) revealing strong correlation between simulated data. underscores effectiveness highlights significance SLM processes. focuses on enhancing efficiency while minimizing adjusting critical such as power, scanning speed, spot radius. Results indicate power has significant impact melting, scan speed more reducing vaporization. Furthermore, explores various weight scenarios combined objective function, concluding equal factors unmelted vaporized elements do not guarantee reduction total defects. provides essential insights into complex interactions within LPBF, emphasizing need careful parameter improve manufacturing quality.

Language: Английский

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Multi-Objective Remanufacturing Processing Scheme Design and Optimization Considering Carbon Emissions

Symmetry, Journal Year: 2025, Volume and Issue: 17(2), P. 266 - 266

Published: Feb. 10, 2025

In the face of escalating environmental degradation and dwindling resources, imperatives prioritizing protection, conserving resources have come sharply into focus. Therefore, remanufacturing processing, as core remanufacturing, becomes a key step in solving above problems. However, with increasing number failing products advent Industry 5.0, there is heightened request for context protection. response to these shortcomings, this study introduces novel process planning model address gaps. Firstly, failure characteristics used parts are extracted by fault tree method, matrix established numerical coding method. This includes both symmetry asymmetry, thereby reflecting each attribute feature, expeditiously generated. Secondly, multi-objective optimization devised, encompassing factors time, cost, energy consumption, carbon emission. integrates considerations patterns inherent components, alongside consumption emissions entailed process. To complex model, an improved teaching–learning-based (TLBO) algorithm introduced. amalgamates Pareto elite retention strategies, complemented local search techniques, bolstering its efficacy addressing complexities proposed model. Finally, validity demonstrated means single worm gear. The compared NSGA-III, MPSO, MOGWO demonstrate superiority

Language: Английский

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Robotic Motion Intelligence Using Vector Symbolic Architectures and Blockchain-Based Smart Contracts

Robotics, Journal Year: 2025, Volume and Issue: 14(4), P. 38 - 38

Published: March 28, 2025

The rapid adoption of artificial intelligence (AI) systems, such as predictive AI, generative and explainable is in contrast to the slower development uptake robotic AI systems. Dynamic environments, sensory processing, mechanical movements, power management, safety are inherent complexities capabilities that can be addressed using novel approaches. current landscape dominated by machine learning techniques, specifically deep algorithms, have been effective addressing some these challenges. However, algorithms subject computationally complex processing operational needs high data dependency. In this paper, we propose a computation-efficient data-efficient framework for motion (RMI) based on vector symbolic architectures (VSAs) blockchain-based smart contracts. VSAs leveraged efficient noise suppression during perception, motion, movement, decision-making tasks. As distributed ledger technology, contracts address dependency through decentralized, distributed, secure transactions satisfies contractual conditions. An empirical evaluation confirms its value contribution towards practical challenges significantly reducing learnable parameters 10 times while preserving sufficient accuracy compared existing solutions.

Language: Английский

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Human–Robot Collaboration on a Disassembly-Line Balancing Problem with an Advanced Multiobjective Discrete Bees Algorithm

Symmetry, Journal Year: 2024, Volume and Issue: 16(7), P. 794 - 794

Published: June 24, 2024

As resources become increasingly scarce and environmental demands grow, the recycling of products at end their lifecycle becomes crucial. Disassembly, as a key stage in process, plays decisive role sustainability entire operation. Advances automation technology integration Industry 5.0 principles make balance human–robot collaborative disassembly lines an important research topic. This study uses disassembly-precedence graphs to clarify disassembly-task information converts it into task-precedence matrix. matrix includes both symmetry asymmetry, reflecting dependencies independencies among tasks. Based on this, we develop multiobjective optimisation model that integrates allocation, operation mode selection, use robots. The objectives are minimise number workstations, idle rate line, energy consumption. Given asymmetry attributes, such time differences required for disassembling various components diverse modes, this employs evolutionary algorithm address potential asymmetric problems. Specifically, introduce advanced multi-objective discrete bee validate its effectiveness superiority solving disassembly-line balancing problem through comparative analysis with other algorithms. not only provides innovative strategies product-recycling field but also offers valuable experience reference further development industrial collaboration.

Language: Английский

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Enhancing Active Disturbance Rejection Control for a Vehicle Active Stabiliser Bar with an Improved Chicken Flock Optimisation Algorithm

Processes, Journal Year: 2024, Volume and Issue: 12(9), P. 1979 - 1979

Published: Sept. 13, 2024

An active stabiliser bar significantly enhances the anti-roll capabilities of vehicles. The control strategy is a crucial factor in enabling to function effectively. This paper investigates an disturbance rejection (ADRC) strategy. Given numerous parameters ADRC and their significant mutual influence, optimising these challenging. To address this, improved chicken flock optimisation algorithm proposed optimise enhance its performance. First, three-degree-of-freedom dynamic model vehicle established, control-based utilising constructed. tackle issues getting stuck local optima low precision when dealing with complex problems traditional (CFO) algorithm, several strategies, including Lévy flight, have been adopted. Subsequently, twelve are optimised using algorithm. Comprehensive testing on multiple benchmark functions demonstrates that (ICFO) distinctly superior other advanced algorithms terms solution quality robustness. Simulation results show ICFO-ADRC controller superior. In four different road condition tests, shows average performance improvement 8% compared fuzzy PI-PD controller, 82% non-optimised 18% CFO-ADRC controller. Our findings confirm this was able provide new solutions for stability whilst opening up possibilities application metaheuristic algorithms.

Language: Английский

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Exploring engineering applications of two-sided partial destructive disassembly line balancing problems under electrical limiting and time-of-use pricing

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: unknown, P. 125573 - 125573

Published: Oct. 1, 2024

Language: Английский

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