Industry 4.0 and Lean Production – A Matching Relationship? An analysis of selected Industry 4.0 models

Leyh, Christian; Martin, Stefan; Schäffer, Thomas

doi:10.15439/2017f365

Cited by 67 publications

(44 citation statements)

References 10 publications

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“…Kolberg and Zühlke 2015;Mayr et al 2018;Prinz, Kreggenfeld, and Kuhlenkotter 2018) or that Industry 4.0 improves the effectiveness of Lean (e.g. Anthony 2017;Buer, Strandhagen, and Chan 2018;Dombrowski, Richter, and Krenkel (2017); Eleftheriadis and Myklebust 2016;Khanchanapong et al 2014;Leyh, Martin, and Schäffer 2017;Mayr et al 2018;Netland 2015;Sanders, Elangeswaran, and Wulfsberg 2016;Wagner, Herrmann, and Thiede 2017). Mayr et al (2018) argue that standardised processes, elimination of waste and a constant focus on customer value are fundamental to the introduction of Industry 4.0.…”

Section: Literature Reviewmentioning

confidence: 99%

Impacts of Industry 4.0 technologies on Lean principles

Rosin

Forget

Lamouri

et al. 2019

International Journal of Production Research

271

167

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Industry 4.0 is increasingly being promoted as the key to improving productivity, promoting economic growth and ensuring the sustainability of manufacturing companies. On the other hand, many companies have already partially or fully implemented principles and tools from the Lean management approach, which is also aimed at improving productivity. While the two approaches use very different strategies, they share some common principles. The objective of this article is to highlight the links between the principles and tools proposed by Industry 4.0 and those proposed by the Lean management approach, with a particular focus on how some of Industry 4.0's technologies are improving the implementation of Lean principles, depending on the technologies' capability levels. As such, this study aims to provide a characterisation of the impacts of Industry 4.0 technologies on Lean principles according to targeted capability levels. The results obtained show strong support for Industry 4.0 technologies for Just-in-time and Jidoka, but little or no support for waste reduction and People and Team work. There is, therefore, a clear need to pursue the deployment of Lean management while improving certain Lean principles using Industry 4.0 technologies.

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Section: Literature Reviewmentioning

confidence: 99%

Impacts of Industry 4.0 technologies on Lean principles

Rosin

Forget

Lamouri

et al. 2019

International Journal of Production Research

271

167

View full text Add to dashboard Cite

show abstract

“…Furthermore, the term was used in the studies of the new business models of industrial enterprises allowing to significantly improve their present competitive position, increasing value creation and minimizing risks [4]. The researchers point out such features of Industry 4.0 as the high level of automatization achieving a higher level of operational productivity and efficiency [5] and connecting the physical to the virtual world [6], achieved through 12 key digital technologies and resulted from the digital transformation of the economy.…”

Section: Literature Overviewmentioning

confidence: 99%

Industry 4.0: Theoretical Foundations and the Strategic Priorities of Russian Regions

Kurnikova¹,

Болгова²,

Bolgov³

et al. 2020

Proceedings of the “New Silk Road: Business Cooperation and Prospective of Economic Development” (NSRBCPED 2019)

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The Industry 4.0 concept acts as a theoretical foundation for introducing digital technologies into production and management processes which leads to the digital transformation of economy including the one at the level of territories. The efficiency of digital transformation in developed and developing countries is achieved through public administrationthe development of government programmes, national and local strategies, the plans and projects of a certain region. The current practices for strategic planning need a scientifically-based justification of development priorities and their overarching presence in a comprehensive system of strategic documents. The difficulty of developing digital transformation priorities arises from the ongoing research into Industry 4.0 concept deriving from the dynamically changing trends of digitalization, its diversity and complexity for the development of Russian regions. The prepared Russian documents fail to reflect the priority of universities in creating Industry 4.0, with a "digital university" being the only model in working out, implementing and using digital technologies in regional economies. Due to the incomplete Industry 4.0 concept and the urgency of the digital transformation of the economy, the paper is aimed at developing theoretical foundations of the «datadriven» economy. The research conducted by the authors involved the dialectic method, the methods of summarization, analysis and synthesis, deduction and induction. The study resulted in some certain suggestions on strategic priorities for the development of Russian regions in view of key digital technologies, the role of universities in their creation and implementation. The authors have shown that Industry 4.0 has a huge potential in setting priorities of digital economy and management at the level of regions.

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“…This is due to the benefits of integrating both topics: traceability, cost reduction, increased productivity, optimized processes and automation, and improved decision making thanks to data collection and analysis. There are several reference models or frameworks devoted to optimize production [ 5 ]. For instance, in [ 6 ], a service-oriented cyber-physical Advanced Mechatronics System (AMS) was presented along with its current and future challenges.…”

Section: Introductionmentioning

confidence: 99%

Educational Mechatronics and Internet of Things: A Case Study on Dynamic Systems Using MEIoT Weather Station

Carlos-Mancilla

Luque-Vega

Guerrero-Osuna

et al. 2020

Sensors

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This paper presents the design and development of an IoT device, called MEIoT weather station, which combines the Educational Mechatronics and IoT to develop the required knowledge and skills for Industry 4.0. MEIoT weather station connects to the internet, measures eight weather variables, and upload the sensed data to the cloud. The MEIoT weather station is the first device working with the IoT architecture of the National Digital Observatory of Intelligent Environments. In addition, an IoT open platform, GUI-MEIoT, serves as a graphic user interface. GUI-MEIoT is used to visualize the real-time data of the weather variables, it also shows the historical data collected, and allows to export them to a csv file. Finally, an OBNiSE architecture application to Engineering Education is presented with a dynamic system case of study that includes the instructional design carried out within the Educational Mechatronics Conceptual Framework (EMCF) to show the relevance of this proposal. This work main contribution to the state of art is the design and integration of the OBNiSE architecture within the EMCF offering the possibility to add more IoT devices for several smart domains such as smart campus, smart cities, smart people and smart industries.

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Industry 4.0 and Lean Production – A Matching Relationship? An analysis of selected Industry 4.0 models

Cited by 67 publications

References 10 publications

Impacts of Industry 4.0 technologies on Lean principles

Impacts of Industry 4.0 technologies on Lean principles

Industry 4.0: Theoretical Foundations and the Strategic Priorities of Russian Regions

Educational Mechatronics and Internet of Things: A Case Study on Dynamic Systems Using MEIoT Weather Station

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