Bibliometric Study on the Use of Machine Learning as Resolution Technique for Facility Layout Problems

Facility Layout Problems (FLP) are concerned with finding efficient factory layouts. Numerous resolution approaches known in literature for layout optimization. Among those, intelligent less researched than solutions from exact or approximating approaches. The recent surge of research interest Artificial Intelligence, and specifically Machine Learning (ML) techniques, presages an increase such techniques' usage FLP. However, previous reviews on FLP induce that, to date, this trend has not yet emerged. Utilizing a systematic review coupled k-Means based clustering algorithm, we analyzed 25 relevant publication full-texts original sample 1,425 papers. Our findings corroborate the statement that ML techniques have attracted substantially most other While few papers used Unsupervised algorithms directly as solution FLP, Supervised Reinforcement were found be practically irrelevant. was significantly higher FLP-adjacent planning tasks group technology. Drawing experiences NP-hard combinatorial optimization problems manufacturing research, conclude is promising bridge evident gap between research. study further contributes by extending established classification frameworks.