Facility layout planning. An extended literature review

P Pérez-Gosende, J Mula… - International Journal of …, 2021 - Taylor & Francis
Facility layout planning (FLP) involves a set of design problems related to the arrangement
of the elements that shape industrial production systems in a physical space. The fact that …

Bibliometric study on the use of machine learning as resolution technique for facility layout problems

P Burggraef, J Wagner, B Heinbach - IEEE Access, 2021 - ieeexplore.ieee.org
Facility Layout Problems (FLP) are concerned with finding efficient factory layouts.
Numerous resolution approaches are known in literature for layout optimization. Among …

Estimating the compressive strength of rectangular fiber reinforced polymer–confined columns using multilayer perceptron, radial basis function, and support vector …

Y Moodi, M Ghasemi… - Journal of Reinforced …, 2022 - journals.sagepub.com
Recently, there has been a tendency to use machine learning (ML)–based methods, such as
artificial neural networks (ANNs), for more accurate estimates. This paper investigates the …

Sentiment analysis of shared tweets on global warming on twitter with data mining methods: a case study on Turkish language

Y Kirelli, S Arslankaya - Computational Intelligence and …, 2020 - Wiley Online Library
As the usage of social media has increased, the size of shared data has instantly surged
and this has been an important source of research for environmental issues as it has been …

[HTML][HTML] Robust machine layout design under dynamic environment: Dynamic customer demand and machine maintenance

S Vitayasak, P Pongcharoen, C Hicks - Expert Systems with Applications: X, 2019 - Elsevier
The layout of manufacturing facilities has a large impact on manufacturing performance. The
layout design process produces a block plan that shows the relative positioning of resources …

Unequal area facility layout problem considering transporters interaction–a queuing theory and machine learning approach

F Damirchilo, H Pourvaziri, R Şahin… - International Journal of …, 2024 - Taylor & Francis
This study presents a novel analytical framework that merges queueing theory with deep
neural networks to optimize facility layout and transporter selection in manufacturing …

Multi-agent cooperative swarm learning for dynamic layout optimisation of reconfigurable robotic assembly cells based on digital twin

L Wang, Z Wang, K Gumma, A Turner… - Journal of Intelligent …, 2024 - Springer
To meet the requirement of product variety and short production cycle, reconfigurable
manufacturing system is considered as an effective solution in addressing current …

How Industry 4.0 technologies can contribute to plant layout design and management: a systematic literature review

L Silvestri, A Forcina, C Silvestri, D Falcone - International Journal on …, 2024 - Springer
Implementation of Industry 4.0 technologies has completely changed design and
management of production systems. New technologies are integrated in manufacturing …

A conceptual framework for multi-objective facility layout planning by a bottom-up approach

P Pérez-Gosende, J Mula… - International Journal of …, 2023 - polipapers.upv.es
The purpose of this paper is to present a conceptual framework to facilitate academics and
practitioners' decision making related to multi-objective facility layout planning (mFLP) by …

Simulation-based optimization of a production system topology--a neural network-assisted genetic algorithm

N Paape, J van Eekelen, MA Reniers - arxiv preprint arxiv:2402.01511, 2024 - arxiv.org
There is an abundance of prior research on the optimization of production systems, but there
is a research gap when it comes to optimizing which components should be included in a …