Assessing the Effectiveness of Using the MES in Manufacturing Enterprises in the Context of Industry 4.0

2019 ◽  
pp. 49-56
Author(s):  
Małgorzata Skrzeszewska ◽  
Justyna Patalas-Maliszewska
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Enterprises

scholarly journals Digital industry and manufacturing automation: impact on employment

2020 ◽  
Vol 1 (2) ◽  
pp. 17-19
Author(s):  
Danil Alekseevich Zyukin
Keyword(s):  
Automotive Industry ◽  
Industry 4.0 ◽  
Structural Complexity ◽  
Digital Transformation ◽  
Fourth Generation ◽  
Production Sector ◽  
Manufacturing Automation ◽  
Manufacturing Enterprises ◽  
Systemic Level

The aim of article. The digital industry (Industry 4.0, the fourth-generation industry) is developing - based on the digital transformation of the production sector. Countries must create a workforce ready for future infrastructure. This requires the cooperation of universities, government and industry, including initiatives aimed at training workers for the transforming productive sector. The pandemic has COVID-19 exacerbated the problem of employment. Methodology: it is necessary to study the problem of employment at the systemic level, with an analysis of the structural complexity and development of digital transformations. This article explores this problem for manufacturing enterprises, in particular the automotive industry. The Results and Conclusions present the results of the analysis and make forecasts.

Challenges and prospects for the Vietnam’s manufacturing industry development in the context of industry 4.0

2020 ◽  
Vol 26 (9) ◽  
pp. 84-92
Author(s):  
Lo Thi Hong Van ◽  
◽  
L. Guzikova ◽  
Keyword(s):  
Developing Countries ◽  
Industry 4.0 ◽  
Industrial Development ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Manufacturing Enterprises ◽  
Industrial Enterprises ◽  
Fourth Industrial Revolution ◽  
Leading Role ◽  
The One

The purpose of the study is to identify the challenges, prospects and ways for the development of the manufacturing industry in Vietnam in the context of Industry 4.0, after COVID-19. The article examines the development of the manufacturing industry in the context of Industry 4.0. The research methodology includes comparative analysis, elements of positive and normative analysis. The study is based on statistical information available within the period of writing the article (till October 1, 2020). The data of Vietnamese and international research organizations and statistics bodies, in particular, the websites of World Bank and General Statistics Office of were used. The leading role of the manufacturing industry in achieving sustainable economic development in developing countries, including Vietnam, was determined. Based on an assessment of the levels of development of the manufacturing industry in Vietnam from 2011 to 2019 and the state of production of the main manufacturing industries under the influence of the coronavirus pandemic in 2020, urgent problems of the development of the manufacturing industry in the context of Industry 4.0 in Vietnam were identified. The coronavirus pandemic, on the one hand, is seen as the reason for the slowdown in production growth in the manufacturing industry, and on the other hand, as a condition for accelerating digital transformation in industrial manufacturing enterprises. The article identifies the main challenges and prospects for the development of the manufacturing industry in Vietnam in the fourth industrial revolution. The human resource challenge for the development of manufacturing in the context of the fourth industrial revolution was identified in some specific industries such as textiles, food processing, machinery and equipment manufacturing by analyzing the Report of 2019 about Industry 4.0 Readiness of Vietnam’s industrial enterprises. The main priority areas for improving the production of the manufacturing industry in Vietnam to achieve sustainable industrial development are presented. The results of the work can be used in the development of policies for the development of the manufacturing industry not only in Vietnam, but also in other developing countries

scholarly journals Quality Culture of Manufacturing Enterprises: A Possible Way to Adaptation to Industry 4.0

2019 ◽  
Vol 8 (4) ◽  
pp. 124 ◽  
Author(s):  
Durana ◽  
Kral ◽  
Stehel ◽  
Lazaroiu ◽  
Sroka
Keyword(s):  
Industry 4.0 ◽  
Technological Development ◽  
Organisational Culture ◽  
Individual Quality ◽  
New Paradigm ◽  
Manufacturing Enterprises ◽  
Continuous Innovation ◽  
Quality Culture ◽  
The Impact ◽  
Significant Factors

The concept of Industry 4.0 means a new paradigm of modern manufacturing. This phenomenon requires continuous innovation processes and technological development from each enterprise. Traditional concepts of quality must absorb changes and prepare themselves for new challenges. The studies linked to successful adaptation to Industry 4.0 focus mostly on technical dimensions and forget the impact of organisational culture. One should, however, remember that quality culture plays a crucial role in the organisational culture of manufacturing enterprises with elements of quality management implemented. Developed quality cultures support the innovation environment, which is why it is necessary for the enterprises to identify the current level of their quality culture and detect significant factors that differentiate individual quality cultures and focus on them. Given this fact, the aim of the paper is to analyse the typical cultures and quality concepts and to detect the factors that differentiate individual quality cultures in Slovakia. We use data from our own survey; dependences were indicated by means of correspondence analysis and the test of proportion. The improvement and assurance of quality, the use of information and the overall effectiveness are significant factors detected by the discriminant analysis. The conclusions of the survey may be used by scientific researchers but especially by manufacturing enterprises interested in quality which are coming to terms with the era of Industry 4.0.

scholarly journals A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises

Procedia CIRP ◽  
2016 ◽  
Vol 52 ◽  
pp. 161-166 ◽  
Author(s):  
Andreas Schumacher ◽  
Selim Erol ◽  
Wilfried Sihn
Keyword(s):  
Industry 4.0 ◽  
Maturity Model ◽  
Manufacturing Enterprises

scholarly journals Trustworthy data-driven networked production for customer-centric plants

2017 ◽  
Vol 117 (10) ◽  
pp. 2305-2324 ◽  
Author(s):  
Davy Preuveneers ◽  
Wouter Joosen ◽  
Elisabeth Ilie-Zudor
Keyword(s):  
Cyber Security ◽  
Industry 4.0 ◽  
Business Processes ◽  
Trust Model ◽  
Cloud Services ◽  
Performance Study ◽  
Manufacturing Enterprise ◽  
Content Type ◽  
Manufacturing Enterprises ◽  
Security Challenges

Purpose Industry 4.0 envisions a future of networked production where interconnected machines and business processes running in the cloud will communicate with one another to optimize production and enable more efficient and sustainable individualized/mass manufacturing. However, the openness and process transparency of networked production in hyperconnected manufacturing enterprises pose severe cyber-security threats and information security challenges that need to be dealt with. The paper aims to discuss these issues. Design/methodology/approach This paper presents a distributed trust model and middleware for collaborative and decentralized access control to guarantee data transparency, integrity, authenticity and authorization of dataflow-oriented Industry 4.0 processes. Findings The results of a performance study indicate that private blockchains are capable of securing IoT-enabled dataflow-oriented networked production processes across the trust boundaries of the Industry 4.0 manufacturing enterprise. Originality/value This paper contributes a decentralized identity and relationship management for users, sensors, actuators, gateways and cloud services to support processes that cross the trust boundaries of the manufacturing enterprise, while offering protection against malicious adversaries gaining unauthorized access to systems, services and information.

scholarly journals An Investigation to the Industry 4.0 Readiness of Manufacturing Enterprises

2021 ◽  
Vol 29 (6) ◽  
pp. 0-0
Keyword(s):  
Information Systems ◽  
Industry 4.0 ◽  
Multinational Enterprise ◽  
Aluminum Production ◽  
Theory Approach ◽  
Manufacturing Companies ◽  
Structured Interviews ◽  
Manufacturing Enterprises ◽  
Smart Industry

The visions of what constitutes the Industry 4.0 is an industry based on gains in efficiency and productivity enhancements supported by integrated, smart information systems. This has caused information systems strategic misalignment that present a severe barrier to National and organizational aspirations. This paper studies the readiness of manufacturing companies for the Industry 4.0, by using a case study of Chinese multinational enterprise in the aluminum production sector. The research design follows a rigorous grounded theory approach, which consisted of 41 semi-structured interviews in 7 different company branches. Based on this case study, the paper proposes an IS strategic misalignment model that identifies three levels of misalignment that need to be resolved before the vision of the smart industry can be realized. Six main categories of causes and five main categories of consequences of IS strategic misalignment are presented. This study contributes to the IS alignment literature and provides important implications for the achievement of Industry 4.0 in practice.

A Framework for Designing the Customer-Order Decoupling Point to Facilitate Mass Customization

2020 ◽  
Vol 143 (2) ◽  
Author(s):  
Lin Guo ◽  
Suhao Chen ◽  
Janet K. Allen ◽  
Farrokh Mistree
Keyword(s):  
Supply Chain ◽  
Service Quality ◽  
Mass Customization ◽  
Industry 4.0 ◽  
Test Problem ◽  
Manufacturing Enterprises ◽  
Customer Order ◽  
Auto Parts ◽  
Per Se ◽  
Parts Manufacturing

Abstract In the age of Industry 4.0, manufacturing enterprises are under pressure to improve mass customization to satisfy evolving demands in different markets. One challenge is to fulfill orders swiftly at an acceptable cost, while maintaining service quality. To do this, the customer-order decoupling point (CODP), where value-adding activities take place, should be designed and adapted to changing market demands. We propose a formulation-exploration framework to make decisions on customer-order decoupling point positioning and improve the supply chain to support mass customization. A test problem of auto parts manufacturing is used to illustrate the efficacy of our framework. The formulation-exploration framework can be used to design a supply chain to facilitate the mass customization of products, especially when information is incomplete and inaccurate (including uncertainties), and goals conflict with each other. In this paper, we focus on the method embodied in the framework rather than the results per se.

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