Industry 4.0 triggered by Lean Thinking: insights from a systematic literature review

Bittencourt, Victor; Alves, Anabela Carvalho; Leão, Celina Pinto

doi:10.1080/00207543.2020.1832274

Cited by 103 publications

(101 citation statements)

References 72 publications

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“…This reflects quite well the evolution of the field from a technologyoriented toward an approach that puts particular emphasis on the organizational and managerial aspects. Indeed, I4.0 offers new technologies that, by themselves, are not enough; rather, they should be wisely used to take full advantage of them (Bittencourt et al, 2021). To this purpose, firms need to transform their business (Berman, 2012); actually, based on innovative technologies, firms have started changing single components of their BM or the whole BM, intended as the combination of complementary blocks or elements, mainly value offer, creation, delivery and capture (e.g.…”

mentioning

confidence: 99%

Industry 4.0 and business models: a bibliometric literature review

Agostini

Nosella

2021

BPMJ

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PurposeFollowing an increasing interest in the area that merges digital/I4.0 technologies and business models (BMs), which led to a proliferation of articles in this domain, the purpose of this article is to systematize this body of literature by means of a structured literature review.Design/methodology/approachAfter a careful selection of articles, we carried out the analysis with the support of bibliometric techniques, using the bibliographic coupling approach complemented with factor analysis and the content analysis of articles.FindingsThe results of the literature review analysis allow us to organize the literature around four main research streams, namely digital technologies and business model innovation, digital strategy and BMs, digital platforms and BMs, and IoT, servitization and BMs. On such a basis, we outline gaps and provide promising avenues for further research in this research area.Research limitations/implicationsThis study has implications for academics in terms of conceptualization of relevant constructs, integration of two streams of research and specific technologies whose relationship with the BM still deserves attention.Practical implicationsThis study has implications also for managers, who may take advantage of the description of some BM archetypes driven by digital/I4.0 technologies and also appreciate the relevance of taking a strategic approach, with a particular focus on the BM, toward the use of digital technologies.Originality/valueThis study merges two relevant streams of research in an attempt to see how they have developed synergically and what potentials their merge could offer for future research.

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confidence: 99%

Industry 4.0 and business models: a bibliometric literature review

Agostini

Nosella

2021

BPMJ

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“…The role of Lean in the implementation process of Industry 4.0 stands out, highlighting Lean concepts such as work standardization, organization and transparency as support for the implementation of solutions linked to I4.0. In this way, Lean can be used as a basis to build an I4.0 implementation, becoming a trigger and a facilitator in this implementation process (Bittencourt et al, 2020). According to Mayr et al (2018), Lean and I4.0 aim at the same goals to improve productivity, and in this way, I4.0 can support Lean methodologies (Mayr et al, 2018).…”

Section: Lean Interrelations With Industry 40mentioning

confidence: 99%

“…This means that Lean Thinking (Womack & Jones, 1996) could be, more than ever, an ally to face such crisis. Moreover, if well established in the companies' mindset and culture, it will be the trigger for the integration of Industry 4.0 technologies that emerged from the concept of Industry 4.0 (Bittencourt et al, 2019(Bittencourt et al, , 2020. In this way, it is essential to take advantage of the infrastructure associated with new autonomous technologies associated with Industry 4.0.…”

Section: Introductionmentioning

confidence: 99%

Lean Thinking, Logistic and Ergonomics: Synergetic Triad to Prepare Shop Floor Work Systems to Face Pandemic Situations

Afonso

Alves

Carneiro

2021

JGBC

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Health crisis caused by COVID-19 had a significant impact on the activities and performance of companies worldwide, namely in industries. In this context, the adaptation of companies to the markets and to the new demands of consumers, readapt to strategies, processes, products, and approaches to the market, become paramount. In the case of companies, some changes in the shop floor work systems become essential, to provide competitive advantages in post-pandemic business scenarios, developing new approaches to increase the efficiency, agility and resilience of operations, always tends to account the Lean Thinking approach and its principles. Thus, the purpose of this article is to show that through Lean philosophy, Lean Logistics and ergonomic tools, one can change the manufacturing space and reduce human interaction in a post-pandemic scenario. In addition, through these three approaches associated with Industry 4.0, this article shows a project in a real case study in an automotive company, to integrate Automated Guided Vehicles (AGV) among other technologies. The study of AGV integration used a simulation model designed in Simio. This project could allow to significantly reduce the ergonomic risks, energy consumption and associated CO2 emissions, and the flow of materials within the organization. The costs could be reduced by 14% in the first year of implementing AGVs and 40% in the second year after implementation. Introducing autonomous AGV will reduce the need of interaction among employees which is fundamental for healthy environments in pandemic context.

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“…Industrial automation in productive environments is a determining factor for companies that work with their objectives in terms of process performance and productivity levels [3]. Adopting a waste-free journey guided by the Lean Thinking philosophy [4], automation is an ally and a strategic tool to reorganize processes and reduce waste [5].…”

Section: Introductionmentioning

confidence: 99%