Lean Automation enabled by Industry 4.0 Technologies

Kolberg, Dennis; Zühlke, Detlef

doi:10.1016/j.ifacol.2015.06.359

Cited by 509 publications

(404 citation statements)

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“…In addition, [12] classifies three central principles of Lean Production: Kaizen, Total Quality Management (TQM) and Business Process Reengineering (BPR) (for a detailed description of this principles see [12]). [13]. These systems are a combination of two essential elements, which are the control of processes with the help of integrated software systems and the network of these software systems.…”

Section: B Lean Productionmentioning

confidence: 99%

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

Leyh¹,

Martin²,

Schäffer³

2017

Annals of Computer Science and Information Systems

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Abstract-The increasing digitalization of business and society has led to drastic changes within companies. Nearly all enterprises are facing enormous challenges dealing with topics such as Industry 4.0/Industrial Internet. With the goal of supporting companies to handle these challenges and "move" in an Industry 4.0 environment, several frameworks or reference models already exist. Here, we share the results of a detailed analysis of selected Industry 4.0 models. In particular, we foster in our analysis Lean Production aspects since the basic principles of Lean Management/Lean Production in existence since the 1980s have yielded appropriate measures to optimize production. These principles can and should be addressed and included by Industry 4.0 models as well. Our study provides a classification of 31 Industry 4.0 models/frameworks as well as the identification of needs for further research to enhance existing Industry 4.0 models more holistically.

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Section: B Lean Productionmentioning

confidence: 99%

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

Leyh¹,

Martin²,

Schäffer³

2017

Annals of Computer Science and Information Systems

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“…For this purpose, CPS are trusted to be very helpful instruments to grasp high stages of automation. When other technologies such as microcontrollers, actuators, sensors, and means of communication are combined with CPS then it would be possible to create smart factories (Kolberg and Zühlke 2015).…”

Section: Industry 40mentioning

confidence: 99%

Effects of Industry 4.0 on the Labor Markets of Iran and Japan

Nafchi

Mohelská

2018

Economies

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Industry 4.0 is the essence of the fourth Industrial revolution and is happening right now in manufacturing by using cyber-physical systems (CPS) to reach high levels of automation. Industry 4.0 is especially beneficial in highly developed countries in terms of competitive advantage, but causes unemployment because of high levels of automation. The aim of this paper is to find out if the impact of adopting Industry 4.0 on the labor markets of Iran and Japan would be the same, and to make analysis to find out whether this change is possible for Iran and Japan with their current infrastructures, economy, and policies. With the present situation of Iran in science, technology, and economy, it will be years before Iran could, or better say should, implement Industry 4.0. Japan is able to adopt Industry 4.0 much earlier than Iran and with less challenges ahead; this does not mean that the Japanese labor market would not be affected by this change but it means that those effects would not cause as many difficulties as they would for Iran.

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“…The natural intelligence of humans enables them to easily adapt to production changes and requirements [11]. To enhance the productivity of the production systems, in the last few decades, Lean Production principles gained popularity that promise a continuous improvement by avoiding the waste and focus on the value adding activities [12]. Already in 1990 approaches were presented to combine lean production principles into automation technologies resulting in non-complex and less over engineered automation solutions.…”

Section: Cobot As An Enabler Of Lean Automation In Assembly Cellsmentioning

confidence: 99%