Human-robot cooperation two-sided partial disassembly line balancing problem

International Journal of Production Research, Год журнала: 2025, Номер unknown, С. 1 - 26

Опубликована: Янв. 13, 2025

Considering the complexities, risks, and uncertainties of disassembling large end-of-life (EOL) products such as cars buses, a two-sided human-robot disassembly line can utilise both sides workstations to enhance efficiency, improve safety, increase revenue. This paper develops cooperation partial balancing model (TPDLB-HRC) minimise energy consumption maximise net revenue by addressing four interrelated sub-problems: planning sequences, selecting tasks, assigning tasks mated-stations, allocating resources. In addition, new reinforcement-learning multi-objective evolutionary algorithm based on decomposition (NRL-MOEA/D) is developed, integrating an encoding/decoding scheme, reinforcement learning, problem characteristics, coevolution between sub-problems address above challenges. The effectiveness superiority designed NRL-MOEA/D in solving various cases are tested comparing it with eleven algorithms. Finally, applicability proposed method verified series EOL examples, trade-offs made under different recycling profits guide decision-makers constructing schemes real situations.

Язык: Английский

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Human-robot collaboration for building deconstruction in the context of construction 5.0

Automation in Construction, Год журнала: 2024, Номер 167, С. 105723 - 105723

Опубликована: Авг. 27, 2024

Язык: Английский

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Risk response capability assessment for the digital twin-based human–robot collaboration

The International Journal of Advanced Manufacturing Technology, Год журнала: 2025, Номер unknown

Опубликована: Фев. 14, 2025

Язык: Английский

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High-speed machining of hardened steel during moldand die production: a critical review toward an Industry 5.0 environment

The International Journal of Advanced Manufacturing Technology, Год журнала: 2025, Номер unknown

Опубликована: Март 27, 2025

Язык: Английский

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LAYING THE GROUNDWORK: AI IN MATURITY MODEL DEVELOPMENT, SERIES PART 1

Performance Improvement Journal, Год журнала: 2025, Номер unknown

Опубликована: Апрель 4, 2025

Maturity models have served as significant tools for organizations to evaluate and improve processes performance across various domains. These generally define levels of progression from initial or ad hoc optimized, well-managed levels. The growing influence artificial intelligence (AI) technologies has reshaped how maturity are developed, implemented, improved. This paper explores the impacts AI on creation evolution models. Current technological trends accelerate model customization, increase predictive accuracy, enable real-time feedback loops. analysis identifies two foundational an example through fourth industrial revolution. exploration further implications software development manufacturing industries focus can help assess their current predict steps needed reach higher performance. work serves first part in a series that addresses human-centric

Язык: Английский

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Computer vision-enabled real-time job hazard analysis for safe human–robot collaboration in disassembly tasks

Journal of Intelligent Manufacturing, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 24, 2024

Язык: Английский

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