Industry 4.0 and the current status as well as future prospects on logistics

Hofmann, Erik; Rüsch, Marco

doi:10.1016/j.compind.2017.04.002

Cited by 1,366 publications

(902 citation statements)

References 17 publications

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“…This is a necessary technique for the current situation where the changing paradigm shifts from small species of mass production to the small quantity batch production. Erik hofmann et al, In the description of Industry 4.0, said that the digital connection to the Smart factory enables automated service and optimized production without human intervention [3]. In order to complete the Smart factory, an intelligent system that can manage the whole plant automatically is needed.…”

Section: Smart Factorymentioning

confidence: 99%

CPS based Data Collection System for Smart factory

Ko¹,

Kim²,

Kim³

et al. 2018

AJMSM

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Section: Smart Factorymentioning

confidence: 99%

CPS based Data Collection System for Smart factory

Ko¹,

Kim²,

Kim³

et al. 2018

AJMSM

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show abstract

“…Industry 4.0, referred to as the "Fourth Industrial Revolution", also known as "smart manufacturing", "industrial internet" or "integrated industry", is currently a much-discussed topic. It is assumed that Industry 4.0 supposedly has the potential to affect entire industries by transforming the way goods are designed, manufactured, delivered, and paid for (Stock and Seliger 2016;Hofmann and Rüsch 2017).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…The value networks are controlled in a decentralized manner, while system elements (like manufacturing facilities or transport vehicles) make autonomous decisions (Hofmann and Rüsch 2017).…”

mentioning

confidence: 99%

Consequences of Industry 4.0 in Business and Economics

et al. 2018

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Abstract:The introduction of information technology into all aspects of our lives has brought forth qualitative and quantitative changes on such a large scale that this process has come to be known as the Fourth Industrial Revolution, or Industry 4.0. The aim of this paper is to fill in the gaps and provide an overview of studies dealing with Industry 4.0 from the business and economic perspectives. A scoping review is performed regarding business, microeconomic and macroeconomic economic problems. Four investigators performed a literature search of the Web of Science, Scopus, and Science Direct. The selected period spanned from 2014 to 2018, and the following keywords were used for the search: Industry 4.0, economics, economic development, production economics, and financial sector. A total of 2275 results were returned. In all, 67 full papers were screened. Results obtained from the relevant studies were, furthermore, divided into the following categories: work and skills development; economy growth and macroeconomic aspect; sustainability; intelligent manufacturing; policy; and change in business processes. Findings show that the aspects of work and skills development, smart technology adoption, intelligent manufacturing, and digitalization are very well described. The government and its policies usually play the role of a needed supportive element. Usually studies lack a coherent view of the topic in question and solve partial questions.

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“…Improving logistics management is crucial to improve production efficiency, reduce production costs, and boost industrial development [1]. Logistics management courses are particularly important for students who are majoring in logistics.…”

Section: Introductionmentioning

confidence: 99%

Integration of Logistics Simulation Technology and Logistics Learning Factory in a Two-stage Teaching Method for Logistics Management Courses

Fu¹

2017

Int. J. Emerg. Technol. Learn.

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Abstract-Traditional classroom teaching techniques for logistics management courses focus solely on imparting theoretical knowledge despite the multidimensionality and diversity of the logistics working environment. Moreover, the application of modern teaching techniques is isolated and lacks systematic coordination. Students thus acquire knowledge but cannot adapt to practical working requirements. Therefore, to develop the autonomous learning ability of students and to improve teaching results of logistics management courses, this study proposes a two-stage teaching method that integrates logistics simulation technology and logistics learning factory. First, students are acquainted with various logistics operation links through logistics simulation technology, thus allowing students to exercise their abilities to autonomously design logistics systems and operate logistics system flow. Second, through the logistics learning factory, students experience the overall process of lean production and improve their learning interests through scenario rendering and visualization. Finally, the degree of the students' acceptance of this teaching method was surveyed on the basis of the technology acceptance model. Results showed that the students who were taught using the two-stage teaching method have significantly higher scores for perceived usefulness, attitude toward using, and behavioral intention than students who were not taught with the proposed method. The proposed two-stage teaching method compensates for the limitations of the single teaching method for logistics management courses. Nevertheless, its perceived ease of use should be improved.

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Industry 4.0 and the current status as well as future prospects on logistics

Cited by 1,366 publications

References 17 publications

CPS based Data Collection System for Smart factory

CPS based Data Collection System for Smart factory

Consequences of Industry 4.0 in Business and Economics

Integration of Logistics Simulation Technology and Logistics Learning Factory in a Two-stage Teaching Method for Logistics Management Courses

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