Forgetting curve models: A systematic review aimed at consolidating the main models and outlining possibilities for future research in production

• Published in: Expert systems Vol. 41; no. 2
• Main Authors: Ferreira, José Ângelo, Valmorbida, Edson Luiz, Sato, Bruno Goulart, Fuentes, Bruno Pontes, Botti, Renan
• Format: Journal Article
• Language: English
• Published: Oxford Blackwell Publishing Ltd 01.02.2024
• Subjects: forgetting curve; Learning; learning curve; production application; Production planning; state of the art; Statistical models; Systematic review
• ISSN: 0266-4720; 1468-0394
• DOI: 10.1111/exsy.13405

This research surveys current knowledge about forgetting curves and their application in production, aiming to identify the main characteristics and tendencies and research gaps on this topic. Faced with the need to improve tools that allow production planners to predict programmed batches with greater precision, it was found that there are still gaps to be filled that allow the application of learning and forgetting techniques in the production process. To compose the scope of this research, a systematization of the existing literature was carried out, using the keywords ‘forgetting curves’, ‘total forgetting’, ‘learning and forgetting curve’ and ‘forgetting effects’, in the databases of Science Direct, Scielo, Scopus, Web of Science and Google Academics, which allowed classifying and organizing the developed models into 3 groups: Deterministic models, Statistical models and Functional models. This systematic process consisted of selecting databases, filtering publications, reviewing information, and analysing models, providing a detailed analysis on a topic that, despite being promising, is poorly explored in the industry, demonstrating and indicating gaps in research and application. To be filled.