A method to balancing robotic mixed-model assembly lines: Practical constraints, computational challenges, and performance estimation DOI

Daniel Schibelbain,

Thiago Cantos Lopes, Leandro Magatão

et al.

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 110595 - 110595

Published: Sept. 1, 2024

Language: Английский

A Multidimensional Fitness Function Based Heuristic Algorithm for Set Covering Problems DOI

Ahmad Hashemi,

Hamed Gholami, Xavier Delorme

et al.

Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 113038 - 113038

Published: March 1, 2025

Language: Английский

Citations

0
Optimization of time and energy in straight one-sided robotic assembly lines DOI Creative Commons

Rehab Seif ElMolouk,

Amin M K El-Kharbotly,

Raghda B. Taha

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 17, 2025

Language: Английский

Citations

0
Line balancing for energy efficiency in production: A qualitative and quantitative literature analysis DOI Creative Commons
Julian Petersen, Amir Nourmohammadi, Masood Fathi

et al.

Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 111144 - 111144

Published: April 1, 2025

Language: Английский

Citations

0
A Decomposition-Based Multi-Objective Flying Foxes Optimization Algorithm and Its Applications DOI Creative Commons
Chen Zhang,

Ziyun Song,

Yufei Yang

et al.

Biomimetics, Journal Year: 2024, Volume and Issue: 9(7), P. 417 - 417

Published: July 7, 2024

The flying foxes optimization (FFO) algorithm stimulated by the strategy used for subsistence in heat wave environments has shown good performance single-objective domain. Aiming to explore effectiveness and benefits of solving challenges involving multiple objectives, this research proposes a decomposition-based multi-objective (MOEA/D-FFO). It exhibits great population management strategy, which mainly includes following features. (1) In order improve exploration fox population, new offspring generation mechanism is introduced efficiency peripheral space populations. (2) A updating approach proposed adjust neighbor matrices corresponding individuals using offspring, with aim enhancing rate convergence population. Through comparison experiments classical algorithms (MOEA/D, NSGA-II, IBEA) cutting-edge (MOEA/D-DYTS, MOEA/D-UR), MOEA/D-FFO achieves more than 11 best results. addition, experimental results under different sizes show that highly adaptable application prospects problems engineering applications.

Language: Английский

Citations

2
Deep reinforcement learning for solving car resequencing with selectivity banks in automotive assembly shops DOI
Yuzhe Huang, Gaocai Fu, Buyun Sheng

et al.

International Journal of Production Research, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 22

Published: Sept. 24, 2024

Language: Английский

Citations

2
AGV Scheduling for Optimizing Irregular Air Cargo Containers Handling at Airport Transshipment Centers DOI Creative Commons
Jie Li,

Mingkai Zou,

Yaqiong Lv

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(19), P. 3045 - 3045

Published: Sept. 28, 2024

Airport transshipment centers play a pivotal role in global logistics networks, enabling the swift and efficient transfer of cargo, which is essential for maintaining supply-chain continuity reducing delivery times. The handling irregularly shaped air cargo containers presents new constraints automated guided vehicles (AGVs), as these shapes can complicate loading unloading processes, directly impacting overall operational efficiency, turnaround times, reliability handling. This study focuses on optimizing scheduling AGVs to enhance cargo-handling efficiency at hubs, particularly managing irregular containers. A mixed-integer linear programming (MILP) model developed, validated feasibility with Gurobi solver, designed handle large-scale operations. It incorporates novel approach by integrating simulated annealing optimized genetic algorithm (GA). experimental results demonstrate that solve models considerable size within 8 s, offering superior time compared an average solution quality improvement 12.62% over algorithm, significantly enhancing both model’s scalability. enhanced AGV not only boosts but also ensures better integration framework. research provides robust foundation future advancements technology, theoretical practical insights into complex transportation networks.

Language: Английский

Citations

2
A method to balancing robotic mixed-model assembly lines: Practical constraints, computational challenges, and performance estimation DOI

Daniel Schibelbain,

Thiago Cantos Lopes, Leandro Magatão

et al.

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 110595 - 110595

Published: Sept. 1, 2024

Language: Английский

Citations

0