scholarly journals Evaluation of Smart Alarm Systems for Industry 4.0 Technologies

2020 ◽  
Vol 10 (6) ◽  
pp. 2022
Author(s):  
Che-Wei Chang
Keyword(s):  
Industry 4.0 ◽  
Large Data ◽  
Early Warning Systems ◽  
Supplier Management ◽  
Assessment Model ◽  
Raw Material ◽  
High Tech ◽  
Alarm Management ◽  
Footwear Industry ◽  
Alarm Systems

Traditionally, the footwear industry is labor intensive, and cost control is key to ensuring shoe companies can be competitive. The development of Industry 4.0 concepts, used in high-tech industries and blockchain production information systems, enables the creation of smart factories with online alarm management systems, to improve manufacturing efficiency and reduce human resource requirements. In this paper, the performances of the causal association assessment model and the technique for order preference by similarity to the ideal solution (TOPSIS) model in evaluating large data blockchain technologies and quality online real-time early warning systems for production and raw material supplier management are compared, to increase the intelligence of production and to manage product traceability.

scholarly journals Strategic Challenges of Human Resources Allocation in Industry 4.0

Information ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 120
Author(s):  
Majid Ziaei Nafchi ◽  
Hana Mohelská
Keyword(s):  
Czech Republic ◽  
Human Resources ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
High Tech ◽  
Economic Sectors ◽  
The Czech Republic ◽  
Services Sector ◽  
Productivity And Competitiveness ◽  
Near Future

The emergence of the fourth industrial revolution (Industry 4.0, hereinafter I 4.0) has led to an entirely fresh approach to production, helping to enhance the key industrial processes and therefore increase the growth of labor productivity and competitiveness. Simultaneously, I 4.0 compels changes in the organization of work and influences the lives of employees. The paper intends to construct a model for predicting the allocation of human resources in the sectors of the national economy of the Czech Republic in connection with I 4.0. The model used in this research visualizes the shift of labor in the economic sectors of the Czech Republic from the year 2013 to the following years in the near future. The main contribution of this article is to show the growth of employment in the high-tech services sector, which will have an ascending trend.

scholarly journals Deriving essential components of lean and industry 4.0 assessment model for manufacturing SMEs

Procedia CIRP ◽  
2019 ◽  
Vol 81 ◽  
pp. 753-758 ◽  
Author(s):  
Sri Kolla ◽  
Meysam Minufekr ◽  
Peter Plapper
Keyword(s):  
Industry 4.0 ◽  
Assessment Model ◽  
Essential Components

Current Trends in the International Economic Activity of Ukraine

2021 ◽  
pp. 47-55
Author(s):  
Ljudmila Romaniuk ◽  
Keyword(s):  
International Economic ◽  
Economic Performance ◽  
Economic Activity ◽  
Public Diplomacy ◽  
Technological Development ◽  
Value Added ◽  
Machine Building ◽  
Raw Material ◽  
High Tech ◽  
Economic Relations

International economic activity occupies a special place in a complex system of the global economic relations. It reflects the mutual economic dependence of trade and economic activities of different countries of the world. The significance of the development of international economic performance of each country is growing. The purpose of the article is to determine the current state and trends of international economic performance of Ukraine, taking into account changes in the external environment. SWOT-analysis was introduced to identify strengths, weaknesses, opportunities, threats and ways to overcome weaknesses, solve problems in international economic activity, use strengths and opportunities. International economic activity is a powerful factor in the development of the country's economy and has a significant potential in regard of natural, economic and human resources, but the study has also revealed problems and negative trends. To identify trends in the effectiveness of the country's international economic activity, export-import performance indicators for 2019, 2020 and similar indicators for 2013 were analyzed. In 2020 a decline in exports in the machine-building industry is observed. Furthermore, the exports are dominated by the raw material component. The growth rate of exported goods refers to industries with a small share of value added. At the same time, imports are dominated by high-tech products, indicating a lack of strategy of technical and technological development, which leads to the deindustrialization of the country, which is a significant threat to the economy of Ukraine as a whole and its international economic activity. In the context of economic globalization, the importance of international economic relations is growing. To increase the efficiency of international economic performance it is crucial to address a number of domestic issues: stabilization of political situation, termination of military actions in the east of the country, overcoming corruption, ensuring technical and technological development, implementation of innovations at enterprises, development and implementation of multi-vector strategy, implementation of the strategy of public diplomacy in order to build a positive image of Ukraine. Further research will focus on assessing the effectiveness of international economic activity, identifying threats to national competitiveness and elaborating recommendations for overcoming them.

scholarly journals Industry 4.0 and Sustainability Implications: A Scenario-Based Analysis of the Impacts and Challenges

2018 ◽  
Vol 10 (10) ◽  
pp. 3740 ◽  
Author(s):  
Silvia Bonilla ◽  
Helton Silva ◽  
Marcia Terra da Silva ◽  
Rodrigo Franco Gonçalves ◽  
José Sacomano
Keyword(s):  
Sustainable Development ◽  
Industry 4.0 ◽  
Sustainable Development Goals ◽  
Big Data Analytics ◽  
Industrial Process ◽  
Raw Material ◽  
The Sustainable Development ◽  
Long Run ◽  
Development Goals ◽  
Negative Impacts

The new evolution of the production and industrial process called Industry 4.0, and its related technologies such as the Internet of Things, big data analytics, and cyber–physical systems, among others, still have an unknown potential impact on sustainability and the environment. In this paper, we conduct a literature-based analysis to discuss the sustainability impact and challenges of Industry 4.0 from four different scenarios: deployment, operation and technologies, integration and compliance with the sustainable development goals, and long-run scenarios. From these scenarios, our analysis resulted in positive or negative impacts related to the basic production inputs and outputs flows: raw material, energy and information consumption and product and waste disposal. As the main results, we identified both positive and negative expected impacts, with some predominance of positives that can be considered positive secondary effects derived from Industry 4.0 activities. However, only through integrating Industry 4.0 with the sustainable development goals in an eco-innovation platform, can it really ensure environmental performance. It is expected that this work can contribute to helping stakeholders, practitioners and governments to advance solutions to deal with the outcomes emerging through the massive adoption of those technologies, as well as supporting the expected positive impacts through policies and financial initiatives.

scholarly journals DEVELOPMENT MODELING OF THE REGIONAL ECONOMY IN THE INDUSTRY 4.0 CONDITIONS

2019 ◽  
Vol 8 (3) ◽  
pp. 98-108
Author(s):  
Dmitriy Vladimirovich Sirotin
Keyword(s):  
Economic Development ◽  
Economic System ◽  
Industry 4.0 ◽  
High Tech ◽  
Simulated Environment ◽  
Gravitational Model ◽  
Federal Districts ◽  
Technological Stage ◽  
The Difference ◽  
Optimal Approach

The development of the Russian economy should take into account the implementation of the Industry 4.0 concept. This concept does not have clear assessment parameters. Estimating such parameters is problematic. The development of high-tech industries is one of the main objectives of the implementation of Industry 4.0. Prediction of economic development in modern conditions is possible on the basis of mathematical modeling methods. The difference in technological stage of the domestic economy determines the feasibility of a regional approach. Agent-based modeling is the optimal approach to solving this problem. This approach allows simulating the activities of agents. The simulated environment sets the conditions for the agents to function. A gravitational model proposed to assess the economic system functioning environment. The proposed gravitational model allows us to assess the relationship between regions on the basis of high-tech trade. The approbation carried in the Sverdlovsk region conditions. As a result of the study established, the development of the Sverdlovsk region high-tech environment, covering the main industrial regions of The Urals, Volga and Siberian federal districts, and the Central Region. Purpose: Construction of the spatial development an assessing model of high-tech environment in the agent-oriented model of territories economic development in the Industry 4.0 conditions. Methodology: methods of system, structural and logical analysis, tools of gravitational modeling. Results: The proposed gravitational model allowed us to assess the interregional interrelations of Sverdlovsk region on the basis of high-tech trade. Practical implications: The results can be useful for assessing the environment of the economic system in the context of Industry 4.0 in the agent-oriented approach.

scholarly journals Analysing IoT Cyber Risk for Estimating IoT Cyber Insurance

2019 ◽  
Author(s):  
Petar Radanliev ◽  
Rafael Mantilla Montalvo ◽  
Razvan Nicolescu ◽  
Michael Huth ◽  
Stacy Cannady ◽  
...  
Keyword(s):  
Impact Assessment ◽  
Cyber Security ◽  
Industry 4.0 ◽  
Assessment Model ◽  
Theory Approach ◽  
Academic Literature ◽  
Cyber Insurance ◽  
Cyber Risk ◽  
Quantitative Impact ◽  
Grounded Theory Approach

This paper is focused on mapping the current evolution of Internet of Things (IoT) and its associated cyber risks for the Industry 4.0 (I4.0) sector. We report the results of a qualitative empirical study that correlates academic literature with 14 - I4.0 frameworks and initiatives. We apply the grounded theory approach to synthesise the findings from our literature review, to compare the cyber security frameworks and cyber security quantitative impact assessment models, with the world leading I4.0 technological trends. From the findings, we build a new impact assessment model of IoT cyber risk in Industry 4.0. We therefore advance the efforts of integrating standards and governance into Industry 4.0 and offer a better understanding of economics impact assessment models for I4.0.

scholarly journals Manager competency assessment model in the conditions of industry 4.0

2020 ◽  
Vol 7 (4) ◽  
pp. 2630-2644 ◽  
Author(s):  
Henryk Dzwigol ◽  
Mariola Dzwigol-Barosz ◽  
Radoslaw Miskiewicz ◽  
Aleksy Kwilinski
Keyword(s):  
Industry 4.0 ◽  
Assessment Model ◽  
Competency Assessment

Incorporating data quality into a multi-product procurement planning under risk

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fereshte Shabani-Naeeni ◽  
R. Ghasemy Yaghin
Keyword(s):  
Data Quality ◽  
Optimization Model ◽  
Industry 4.0 ◽  
Supplier Selection ◽  
Raw Material ◽  
Measure Data ◽  
Content Type ◽  
Multi Objective ◽  
Procurement Planning

Purpose In the data-driven era, the quality of the data exchanged between suppliers and buyer can enhance the buyer’s ability to appropriately cope with the risks and uncertainties associated with raw material purchasing. This paper aims to address the issue of supplier selection and purchasing planning considering the quality of data by benefiting from suppliers’ synergistic effects. Design/methodology/approach An approach is proposed to measure data visibility’s total value using a multi-stage algorithm. A multi-objective mathematical optimization model is then developed to determine the optimal integrated purchasing plan in a multi-product setting under risk. The model contemplates three essential objective functions, i.e. maximizing total data quality and quantity level, minimizing purchasing risks and minimizing total costs. Findings With emerging competitive areas, in the presence of industry 4.0, internet of things and big data, high data quality can improve the process of supply chain decision-making. This paper supports the managers for the procurement planning of modern organizations under risk and thus provides an in-depth understanding for the enterprises having the readiness for industry 4.0 transformation. Originality/value Various data quality attributes are comprehensively subjected to deeper analysis. An applicable procedure is proposed to determine the total value of data quality and quantity required for supplier selection. Besides, a novel multi-objective optimization model is developed to determine the purchasing plan under risk.

scholarly journals Human Resources Readiness for Industry 4.0

2019 ◽  
Vol 6 (1) ◽  
pp. 3 ◽  
Author(s):  
Jaroslav Vrchota ◽  
Monika Mařiková ◽  
Petr Řehoř ◽  
Ladislav Rolínek ◽  
Radek Toušek
Keyword(s):  
Czech Republic ◽  
Industry 4.0 ◽  
Computer Skills ◽  
High Tech ◽  
Eastern Region ◽  
The European Union ◽  
The Czech Republic ◽  
Internet Connection ◽  
Catch Up ◽  
The Eu

Industry 4.0 is related to major changes, particularly in production. As such changes might have major implications for the labour market; the paper focuses on the assumptions of the human capital and its preparedness for Industry 4.0 in the Czech Republic. The findings are based on EUROSTAT, MEYS, OECD, ISCED, CZSO, and WEF. Based on such data, twelve indicators were selected and described in the results. Subsequently, the correlation analysis was carried out, using the data of the Czech Republic in order to estimate which indicators are related and thus to obtain a more detailed view of areas that need to be improved. The level of computer skills in the Czech Republic are increasing. Internet connection is around 80%. The share of technical workers in the Czech Republic is in the range of 30–40%. In terms of expenditure on education, the Czech Republic belongs to the countries of the eastern region. The number of graduates of technical professions managed to catch up with the development of the European Union (EU). In terms of employment in High-tech and Medium-high-tech areas, the Czech Republic is one of the leaders in the EU. Czech students have great potential in basic computer skills.

scholarly journals Barriers in sustainable industry 4.0: a case study of the footwear industry

2020 ◽  
pp. 1-15
Author(s):  
Vaibhav S. Narwane ◽  
Rakesh D. Raut ◽  
Vinay Surendra Yadav ◽  
A. R. Singh
Keyword(s):  
Industry 4.0 ◽  
Footwear Industry
Sign in / Sign up

Export Citation Format

Share Document