Migration Strategies towards the Digital Manufacturing Automation

International Journal of Computer Integrated Manufacturing

The new paradigm of digital manufacturing and the concept of Industry 4.0 has led to the integration of recent manufacturing advances with modern information and communication technologies. Therefore, digital simulation tools fused into production systems can improve time and cost-effectiveness and enable faster, more flexible, and more efficient processes to produce higher-quality goods. The advancement of digital simulation with sensory data may support the credibility of production systems and improve the efficiency of production planning and execution processes. In this paper, an approach is proposed to develop a Digital Twin of production systems in order to optimize the planning and commissioning process. The proposed virtual cell interacts with the physical system with the help of different Digital Manufacturing Tools (DMT), which allows for the testing of various programs in a different scenario to check for any shortcomings before it is implemented on the physical system. Case studies from the different production systems are demonstrated to realize the feasibility of the proposed approach.

The automotive manufacturing sector is experiencing a profound transformation driven by Industry 4.0 principles and digital technologies. This comprehensive article examines the evolution of smart manufacturing technologies, their impact on production processes, and the resulting paradigm shift in automotive manufacturing operations. The article explores the implementation of digital twins, advanced manufacturing systems integration, cybersecurity frameworks, and workforce development strategies. The article highlights how these technological advancements have revolutionized production efficiency, quality control, and market responsiveness while addressing the challenges of legacy system integration and cybersecurity. Furthermore, it investigates the future trajectory of automotive manufacturing, focusing on additive manufacturing technologies, artificial intelligence applications, and software-defined vehicle production methodologies.

2019

The development of digital technologies has been promoting a real transformation in the lives of people and businesses in recent years. This movement has been called Digital Transformation. It intensified in the mid-2000s when many companies began a move to adapt their business infrastructure to the new digital age, benefited from the average price reduction of technology components, increased computing performance and global connectivity. In the manufacturing industry, a similar move, albeit a little late, has been carried out by the development of Industry 4.0 or, as some prefer to call it, smart factories. This article presents a vision of the digital transformation in industry, emphasizing the benefits and key challenges, from the analysis of 9 relevant publications published between 2005 and 2014. Its content will be especially important for those who are beginning their research on this topic. but whose practical implications can already be felt in our daily lives. Throughout ...

2017

Over the past few years world is facing the fourth industrial revolution. Working environment is demanded to be changed, rapidly, with hope that it will bring significant benefits in the future. Usual manufacturing processes are being automatized and connected to other activities within the company. One of the most important factors in Industry 4.0 environment is data management, big data management to be correct. It is done with use of cyber-physical systems (CPS), internet of things (IoT) and cloud computing. Human professions are obligated to adapt and change so the roles that are known are suggested to get a different structure in the future. Workers have to learn to deal with new situation and accept the term of life-learning process, constantly improving their performance. In the end, with use of both technological and human improvements, bigger productivity, product quality and income with lower product delivery (manufacturing) time and product price are expected. Apart from ...

This review study focuses on automated manufacturing in the automotive industry, with an emphasis on Industry 4.0 technologies. We go over particular Industry 4.0 technologies that are being implemented in manufacturing organizations, such as improved robotic devices, 3D printing, the Internet of Things, and automated production. Manufacturing enterprises in the automotive sector that operate in Slovakia and the Czech Republic made up our research sample. Both countries are major actors in the global automobile manufacturing industry. We created an electronic questionnaire and constructed questions based on a theoretical evaluation of prior studies and research to collect data. Two assumptions were made, and the average degree of technology use was used to verify them. We also looked at the level of automation and other Industry 4.0 technologies that have been implemented. Sensors, programmable devices such as PLCs and HMIs, and industrial robots were all used often, according to the findings. According to another examination of the data, large industrial organizations use automation aspects at a higher level than medium and small businesses.

Information and communication technology is undergoing rapid development, and many disruptive technologies, such as cloud computing, Internet of Things, big data, and artificial intelligence, have emerged. These technologies are permeating the manufacturing industry and enable the fusion of physical and virtual worlds through cyber-physical systems (CPS), which mark the advent of the fourth stage of industrial production (i.e., Industry 4.0). The widespread application of CPS in manufacturing environments renders manufacturing systems increasingly smart. To advance research on the implementation of Industry 4.0, this study examines smart manufacturing systems for Industry 4.0. First, a conceptual framework of smart manufacturing systems for Industry 4.0 is presented. Second, demonstrative scenarios that pertain to smart design, smart machining, smart control, smart monitoring, and smart scheduling, are presented. Key technologies and their possible applications to Industry 4.0 smart manufacturing systems are reviewed based on these demonstrative scenarios. Finally, challenges and future perspectives are identified and discussed.

Journal of Engineering and Technology …, 2010

2014

The scope of industrial automation is shifting into a third wave of automation based on extreme information availability, cyber-physical systems and data analytics. This paper present critical factors and way forward for the development of the Swedish industrial automation sector, both users and suppliers. Based on literature and practice studies, and a survey including some 40 respondents, ten factors for realising the third wave of automation was identified with four key factors: Technology, Processes, Business models and Competence. Finally, initial steps on a way forward are proposed for the development of Swedish automation industry and research.

IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society

Presently, many industries are facing strong challenges related to the demand of customized and high-quality products. These pressures lead to internal company's conflicts where current production systems have a rigid structure, forcing the company into a organization stall when a fast product change is required. Therefore, the need to smoothly migrate traditional systems into more feature-rich and cost-effective systems, namely Cyber-Physical Production Systems (CPPS), became a highly discussed topic. PERFoRM project focuses the conceptual transformation of existing production systems towards plug&produce ones to achieve flexible and reconfigurable manufacturing environments. In particular, the smooth migration process is considered crucial to effectively transpose existing production systems into truly CPPS. This paper describes the use of Petri nets to design the migration process under the PERFoRM perspective, taking advantage of its inherent capabilities to design, analyze, simulate and validate such complex processes.

Sensors, 2019

Industry 4.0 is a synonym for the confluence of technologies that allows the integration of information technology, data science, and automated equipment, to produce smart industrial systems. The process of inserting new technologies into current conventional environments involves a wide range of disciplines and approaches. This article presents the process that was followed to identify and upgrade one station in an industrial workshop to make it compatible with the more extensive system as it evolves into the Industry 4.0 environment. An information processing kit was developed to upgrade the equipment from an automated machine to an Industry 4.0 station. The kit includes a structure to support the sensor and the data processing unit; this unit consisted of a minicomputer that records the data, graded the performance of the components, and sent the data to the cloud for storage, reporting, and further analysis. The information processing kit allowed the monitoring of the inspection...