Learning curve applications in Industry 4.0: a scoping review

Date

2022-11-28

Advisors

Journal Title

Journal ISSN

ISSN

0953-7287
1366-5871

Volume Title

Publisher

Informa UK Limited

Type

Article

Peer reviewed

Yes

Abstract

This study aimed at identifying applications of learning curve (LC) modelling at individual, group, and organisational levels in Industry 4.0 (I4.0) environments. For that, a scoping review on four databases was conducted using the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines. Our results indicated that LCs are more prominently adopted in I4.0 to model learning at the individual level using technologies oriented to sensing and communication (e.g. big data, IoT, wireless sensors, cloud computing, remote control, or monitoring). However, the effect of a few processing and actuation technologies, such as augmented/virtual reality, collaborative robots, and machine learning/AI, on learning seems promising. Further, despite the number of studies investigated, few explicitly described the LC model used to represent the impact of I4.0 technologies on learning. Our findings allowed the proposition of five research directions. Literature on both LC and I4.0 is still fragmented, poorly addressing their relationship. As I4.0 is an innovative approach that allows more extensive information exchange and processing, new ways of using I4.0 technologies to expedite data collection, which has always constrained LC practical applications, should be devised to close the gap between I4.0 and learning.

Description

Keywords

Citation

Tortorella, G.L., Fogliatto, F.S., Anzanello, M.J., Vassolo, R., Antony, J., Otto, K. and Kagioglou, M. (2022) Learning curve applications in Industry 4.0: a scoping review, Production Planning & Control,

Rights

Research Institute