Aplicação do método Learning-Forgetting-Relearning Curve Model (LFRCM) para projeção da produção

Ferreira, José Ângelo; Ozório, Arthur Kreling; Kreling, João Paulo Dutra; Schiavon, Thiago Felipe; Valmorbida, Edson Luiz

doi:10.14488/enegep2021_tn_sto_354_1821_42601

Cited by 1 publication

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The most recent articles used in this research that addressed the forgetting models applied to production were Bailey and Mcintyre (2003); Jaber (2006); Lindeke (2010); Hoedt et al (2019) and Ferreira et al (2019).…”

Section: Research Methodology and Proceduresmentioning

confidence: 99%

“…Ferreira et al (2019) created the Learning‐Forgetting‐Relearning Curve Model (LFRCM) in order to estimate the initial learning processes, forgetting data and the relearning estimate after breaks. To calculate learning, performance data are used before a vacation period to carry out a linear regression using the following equation.

y = ax + b

where

a

is the angular coefficient and

b

is the linear coefficient.…”

Section: Forgetting Curves Mathematical Modelsmentioning

confidence: 99%

See 1 more Smart Citation

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

Ferreira,

Valmorbida,

Sato

et al. 2023

Expert Systems

View full text Add to dashboard Cite

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.

show abstract