Effect of Industry 4.0 technologies adoption on the learning process of workers in a quality inspection operation

Tortorella, Guilherme Luz; Anzanello, Michel J.; Fogliatto, Flávio Sanson; Antony, Jiju; Nascimento, Denise Cristina de Oliveira

doi:10.1080/00207543.2022.2153943

Cited by 7 publications

(6 citation statements)

References 102 publications

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“…For example, Karacay (2018) and Fareri et al (2020) argued that I4.0 technologies could increase task complexity, potentially hindering the learning process. Conversely, other authors (Fantini et al, 2020;Tortorella et al, 2021Tortorella et al, , 2022 found a positive correlation between employee engagement and technology adoption, suggesting that proper management of this relationship could yield performance benefits.…”

Section: Literature Reviewmentioning

confidence: 88%

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Effects of product complexity on human learning in assembly and disassembly operations

Verna

Genta

Galetto

2023

JMTM

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PurposeThe purpose of this paper is to investigate and quantify the impact of product complexity, including architectural complexity, on operator learning, productivity and quality performance in both assembly and disassembly operations. This topic has not been extensively investigated in previous research.Design/methodology/approachAn extensive experimental campaign involving 84 operators was conducted to repeatedly assemble and disassemble six different products of varying complexity to construct productivity and quality learning curves. Data from the experiment were analysed using statistical methods.FindingsThe human learning factor of productivity increases superlinearly with the increasing architectural complexity of products, i.e. from centralised to distributed architectures, both in assembly and disassembly, regardless of the level of overall product complexity. On the other hand, the human learning factor of quality performance decreases superlinearly as the architectural complexity of products increases. The intrinsic characteristics of product architecture are the reasons for this difference in learning factor.Practical implicationsThe results of the study suggest that considering product complexity, particularly architectural complexity, in the design and planning of manufacturing processes can optimise operator learning, productivity and quality performance, and inform decisions about improving manufacturing operations.Originality/valueWhile previous research has focussed on the effects of complexity on process time and defect generation, this study is amongst the first to investigate and quantify the effects of product complexity, including architectural complexity, on operator learning using an extensive experimental campaign.

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Section: Literature Reviewmentioning

confidence: 88%

“…, 2020; Tortorella et al. , 2021, 2022) found a positive correlation between employee engagement and technology adoption, suggesting that proper management of this relationship could yield performance benefits.…”

Section: Literature Reviewmentioning

confidence: 98%

Effects of product complexity on human learning in assembly and disassembly operations

Verna

Genta

Galetto

2023

JMTM

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“…Thus, most research still tends to view workers as "static recipients of tools and technologies" (Hines et al, 2023, p. 77), while learning implications of digitalization initiatives remain poorly scrutinized (Angelopoulos et al, 2023;Tortorella et al, 2022). Though Tortorella et al (2020) suggested that learning mediates the effect of digitalization on performance, the authors do not explore the development of learning capabilities.…”

Section: Conceptual Background 21 Lean and Digitalizationmentioning

confidence: 99%

“…Learning has further been established as an integral part of lean (e.g. Powell and Reke, 2019), while digitalization has also been shown to lead to learning (Sunder et al, 2023;Tortorella et al, 2022). Though the significance of learning has been established for both lean and digitalization in isolation, learning mechanisms associated with the integration of lean and digitalization are unexplored (Belinski et al, 2020).…”

Section: A Cumulative Capability Development Perspective On Digitaliz...mentioning

confidence: 99%

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Digitalization in lean manufacturing firms: a cumulative capability development perspective

Powell,

Laubengaier,

Tortorella

et al. 2024

IJOPM

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PurposeThe purpose of this paper is to examine the digitalization of operational processes and activities in lean manufacturing firms and explore the associated learning implications through the lens of cumulative capability theory.Design/methodology/approachAdopting a multiple-case design, we examine four cases of digitalization initiatives within lean manufacturing firms. We collected data through semi-structured interviews and direct observations during site visits.FindingsThe study uncovers the development of learning capabilities as a result of integrating lean and digitalization. We find that digitalization in lean manufacturing firms contributes to the development of both routinized and evolutionary learning capabilities in a cumulative fashion.Originality/valueThe study adds nuance to the limited theoretical understanding of the integration of lean and digitalization by showing how it cumulatively develops the learning capabilities of lean manufacturing firms. As such, the study supports the robustness of cumulative capability theory. We further contribute to research by offering empirical support for the cumulative nature of learning.

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Lean 4.0 implementation framework: Proposition using a multi-method research approach

Bueno¹,

Caiado²,

Oliveira³

et al. 2023

International Journal of Production Economics

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Effect of Industry 4.0 technologies adoption on the learning process of workers in a quality inspection operation

Cited by 7 publications

References 102 publications

Effects of product complexity on human learning in assembly and disassembly operations

Effects of product complexity on human learning in assembly and disassembly operations

Digitalization in lean manufacturing firms: a cumulative capability development perspective

Lean 4.0 implementation framework: Proposition using a multi-method research approach

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