A Smartness Assessment Framework for Smart Factories Using Analytic Network Process

Lee, Jeongcheol; Jun, Sungbum; Chang, Tai‐Woo; Park, Jin-Woo

doi:10.3390/su9050794

Cited by 77 publications

(38 citation statements)

References 14 publications

(19 reference statements)

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“…The second level of the index consists of necessary infrastructure which is needed to operate with technologies. This level has more parts, such as using sensors for collecting data [121], IT infrastructure including MES [123], ERP information systems [123], linked data via M2M (or IoT), robots [44], and user-end technologies such as mobile terminals [121]. The last level is more advanced in terms of using learning software [122], virtual reality, and simulations including digital twins [97] or sharing data with other parties [124].…”

Section: Discussionmentioning

confidence: 99%

Readiness of Enterprises in Czech Republic to Implement Industry 4.0: Index of Industry 4.0

Vrchota

Pech

2019

Applied Sciences

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Industry 4.0 includes digital process transformation, information technology (IT) development, mobile devices, learning software, automation, and robotics, as well as intelligent sensors to collect large datasets, store, analyze, and use them in business, including simulation, virtual reality, and digital twins. The aim of the paper is to characterize the readiness of the enterprise to use Industry 4.0. In the research, a questionnaire survey was carried out on a sample of 276 enterprises mainly from the manufacturing industry. Using explorative factor analysis, the index of Industry 4.0 (VPi4) was designed to determine the level of Industry 4.0 implementation in the enterprises. The results were further verified by a statistical analysis, using Mann–Whitney test and correlation coefficients. The results indicate that the VPi4 index was consistent in terms of distribution when comparing the results on the verification sample. Its results correlate with the subjective perception of the enterprises, and different levels of the index reflect the difference in technological intensity of the industry. The VPi4 index enables the enterprises to determine their own level of current state of readiness for Industry 4.0, to better prioritize business development. The proposed solution categorizes Industry 4.0 components into a useful theoretical framework. Further research offers the possibility of applying the index in other sectors, its relation to the size of enterprises, and updating with respect to new trends in information technology.

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Section: Discussionmentioning

confidence: 99%

Readiness of Enterprises in Czech Republic to Implement Industry 4.0: Index of Industry 4.0

Vrchota

Pech

2019

Applied Sciences

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“…In June 2014, the Korean government announced the Manufacturing Innovation 3.0 strategy to upgrade competitiveness in the manufacturing industry and boost the general economy by raising new industries and increasing innovative investment and export [25]. In 2016, R&D expenditure represented about 4.227% of GDP compared to 2.337% in OECD countries and 3.141% in Japan, which ranked second in the world [26].…”

Section: Manufacturing Industry In South Koreamentioning

confidence: 99%

Characteristics of Corporate R&D Investment in Emerging Markets: Evidence from Manufacturing Industry in China and South Korea

Jaewoo

2018

Sustainability

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The issue concerning the increasing research and development (R&D) investment in emerging markets is especially attractive for many researchers and practitioners. This paper measures and compares the characteristics of Chinese and South Korean R&D expenditures of manufacturing companies from 2012 to 2016. It also examines the impact of R&D investment on firm performance. The results show that debt maturity and cash reserves are positive determinants of R&D investment in China and South Korea. Firm size, internal financing, and debt ratio are restrictive factors of R&D intensity in Chinese manufacturing companies, while debt ratio is the only negative determinant of R&D investment in their South Korean counterparts. The results also show that R&D intensity exhibits a strong positive impact on the performance of manufacturing companies in both countries. Moreover, this impact is stronger in South Korea than in China. In addition, R&D investment has a positive time-lag effect only on the performance of Chinese manufacturing companies. Our study presents some new evidence for the relationship between R&D intensity and firm performance in emerging markets.

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“…The challenge of occupational safety becomes even more underscored in project environment due to the temporary nature of projects [19]. In order to achieve satisfactory occupational safety, all managed performances of organizations must be considered with equal attention (productivity, quality, costs, execution time and impact on environmental and occupational safety) [20,21].…”

Section: Challenges Of the Working Environmentmentioning

confidence: 99%

Projects in Industry 4.0 framework and its effects on occupational safety

Milijić¹,

Bogdanović²,

Nikolić³

2019

Proceedings of the 5th IPMA SENET Project Management Conference (SENET 2019)

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The fourth industrial revolution, or Industry 4.0, introduced a new level of production and transformed the use of digital integration and intelligent engineering. The essence of such initiatives is that manufacturers are able to satisfy a constantly changing demand by using flexible "smart" machines. However, the implementation of all the technologies used by the Industry 4.0 in production systems is not easy due to significant challenges. Therefore, it is necessary to identify and examine the challenges faced by manufacturing companies when trying to apply Industry 4.0. Occupational safety is certainly one of the most important challenges of the new production paradigm, to which adequate attention should be paid. This challenge is becoming even more pronounced in the project environment because of the temporary nature of the projects. In order to improve the level of occupational safety, its adequate analysis seems necessary. One way to do this is to compare the subject area in different contexts. In this paper, using the PROMETHEE tool, a multicriterial analysis of the effect of Industry 4.0 on occupational safety factors at industrial projects in Serbia was performed, compared to the previous industrial paradigm.

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A Smartness Assessment Framework for Smart Factories Using Analytic Network Process

Cited by 77 publications

References 14 publications

Readiness of Enterprises in Czech Republic to Implement Industry 4.0: Index of Industry 4.0

Readiness of Enterprises in Czech Republic to Implement Industry 4.0: Index of Industry 4.0

Characteristics of Corporate R&D Investment in Emerging Markets: Evidence from Manufacturing Industry in China and South Korea

Projects in Industry 4.0 framework and its effects on occupational safety

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