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2022 | Buch

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Sustainability and Innovation in Manufacturing Enterprises

Indicators, Models and Assessment for Industry 5.0

herausgegeben von: Prof. Anca Draghici, Larisa Ivascu

Verlag: Springer Singapore

Buchreihe : Advances in Sustainability Science and Technology

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

This book informs and educates readers about sustainable development management, approaches and applications in manufacturing processes and presents the trends to the next economic and social paradigm: the Industry 5.0 and Society 5.0. Educational aspects, case studies from various companies, together with the analysis and synthesis of the literature and empirical experiences, define the content of the eleven chapters. Thus, this material could be considered as a starting point and foundation for researchers and practitioners interested in the present state and the evolution of the manufacturing systems. The book offers various points of view regarding the actual digital transformation of the manufacturing system.

Inhaltsverzeichnis

Frontmatter

Chapter 1. Green Manufacturing in the Context of Circular Economy

Abstract

The green manufacturing (GM) approach has been defined and described in the context of improving the level of companies’ competitiveness, innovation, and efficiency. Engaging businesses in adopting the principles of the circular economy helps them respond to regulatory constraints and opportunities related to green manufacturing, too. In addition, a debate of the new concept family of the product life cycle management related to Industry 5.0 will be presented being considered another perspective of Green Manufacturing (related to organizations’ environmental policies, highlighting the efforts for sustainable product life cycle by simultaneously considering stakeholders’ management related to the value chain). Overall, the need to reduce organizations’ impact on the environment and strengthen the awareness of this is emphasized by the current chapter.

Anca Draghici, Larisa Ivascu

Chapter 2. Industry 5.0 Challenges and Perspectives for Manufacturing Systems in the Society 5.0

Abstract

This chapter presents an exhaustive reference analysis and synthesis about the Industry 5.0 development, challenges, and implications. First, a state of the art on Industry 4.0 and digitalization will be presented considering the Industrial Revolution stages. Currently, manufacturing and business processes are increasingly using Cloud and mobile technologies, Internet of Things (IoT), Artificial Intelligence (AI), and Data Analytics, which heralds the fifth Industrial Revolution (Industry 5.0). Consequently, in the second part of the chapter, there will be presented synthesis research drawing the state-of-the-art overview on Industry 5.0, as a core idea of this chapter. Furthermore, a detailed characterization will be done to identify the differences and similarities from Industry 4.0 to Industry 5.0 and Society 5.0 by gaining benefits, advantages, and disadvantages as well as expected business value and ethical implications.

Daniel Paschek, Caius-Tudor Luminosu, Elif Ocakci

Chapter 3. Smart Manufacturing Systems Management

Abstract

The influence of IT in the manufacturing systems became not only visible but also a necessity of operational management. The manufacturing systems evolution is presented using a comparison between the industrial revolutions and Maslow’ hierarchy of needs, up-to-date. However, the presented evolution used life quality indicators, to explain the need for continuous adaptation of the manufacturing systems to people, the end customer. The virtualization of the enterprise IT system process and the reference cloud architecture is also presented, in order to clearly estate the prerequisites for Industry 4.0, with a detailed map of the internal cloud processes. The study also presented the major software providers prediction, before and during the COVID pandemic time, which greatly impacted consumer behaviour. Furthermore, the changes of the customer behaviour, cumulated with the globalization limitation, and workforce polarization, affected businesses in terms of rethinking the supply chain, with the target on flexibility, prediction and resilience and the attitude regarding the employees. The conclusions section summarizes the key findings of the study and exposes the authors’ prediction for the short-time evolution of the manufacturing systems.

George Carutasu, Nicoleta Luminita Carutasu

Chapter 4. Manufacturing Processes Automation and Their Intelligent Monitoring

Abstract

Today, industrial values have led to a new step in evolution. industrial, namely the implementation of Industry 5.0. The Artificial Intelligent systems are internal optimization systems, they lead the processing processes based on the information entered by the process disruptors. Machining processes on machine tools are considered complex processes, due to the great diversity of controlled or random factors that influence their evolution over time. Thus, the Artificial Intelligent, control systems of machine tools can have independent functions or can be coupled with data management systems.

Dorian Stef, George Draghici

Chapter 5. Arguments for Emerging Technologies Applications to Improve Manufacturing Warehouse Ergonomics

Abstract

Technology has disrupted each current industry, and supply chain is not going to be an exception. Businesses are already starting to establish interconnected global networks of Cyber-Physical Systems with the help of the Internet of Things and Cloud Computing. In this context, the chapter will debate aspects related to the new challenges of reducing ergonomics risks in manufacturing warehouse logistics by valorizing emerging technologies to create workplace wellbeing. After an extended literature review regarding the relevant ergonomics approaches in warehouse logistics, there will be presented some warehouse ergonomics solutions to be considered for the next generation of logistics system. The solutions described will refer to the monitoring and improvement of the ergonomic reality. Finally, conclusions and future trends will end the chapter.

Anca Mocan, Alin Gaureanu, Gyula Szabó, Beata Mrugalska

Chapter 6. New Approaches to Product Development in the Current Industrial and Economic Context

Abstract

An important aspect that defines the product design and development process relates to the identification and collection of market needs or the definition by the customer of a set of specifications transformed into design and functional parameters. In most cases, new product development in the industrial environment involves creating an updated version of an existing product. The current economic context is playing a major role in the trend towards individualized mass production. There is a shift from a linear economy to a circular economy, with a focus on optimizing how resources are used to reduce emissions over the lifetime of products or services. The ability to adapt even the entire design of a product to meet customer needs is essential in the manufacture of individualized products and in the product development process; databases prove to be useful translating a part of the routine decision-making process to a computer program. This study presents a model of product development process including a technical configurator with adaptable interface and an e-service web application, which involve customers directly in the design of product development.

Adrian Ciprian Firu, Anamaria Feier, Felicia Banciu, Alin Ion Tapirdea, George Draghici

Chapter 7. Managing Complexity in Manufacturing Service Processes. The Case of Large Business Environments

Abstract

The chapter content will provide an overview of the present status of research on complexity management in manufacturing. Based on the findings, we will propose a model for managing complexity in large-scale manufacturing environments. The focus will be on the integrated approach of complexity, specific manufacturing-related complexity criteria, cyclical reporting, targeted measures to deal with the identified complexities, and specific measures. Finally, the developed Large Manufacturing Complexity Model will be illustrated in large-scale manufacturing environment and best practices will be presented.

Frank Rennung, Caius-Tudor Luminosu, Mirabela Metzler, Anca Draghici

Chapter 8. From Industry 4.0 to Industry 5.0—An Overview of European Union Enterprises

Abstract

Industry 4.0 refers to the transformation of industry through the adoption of techniques and processes based on information and communication technologies (ICT) to manage and optimize all aspects of the manufacturing processes and supply chain. Even if Industry 4.0 adoption has significant advantages for companies in terms of increased productivity and decreased costs, it also raises various challenges for companies. At the same time, more and more experts start to voice their concerns regarding Industry 4.0 and discuss the advent of Industry 5.0 with a focus on sustainability as opposed to productivity. During the discussions regarding Industry 5.0 and the necessity of an improved collaboration between humans and technological systems, it is relevant to evaluate the way companies from the manufacturing sector are adopting Industry 4.0, considering all the challenges and costs imposed by the process. The present study aims at providing an overview regarding the presence of the Industry 4.0 elements in European Union manufacturing companies using publicly available data from the European Statistical Office.

Lidia Alexa, Marius Pîslaru, Silvia Avasilcăi

Chapter 9. Assessment of Economic Impact Generated by Industry 5.0, from a Readiness Index Approach Perspective. A Cross-Country Empirical Analysis

Abstract

Over time, industrial revolutions have marked human existence and the work environment, impacting efficiency, effectiveness, and productivity. In the new promoted concept, Industry 5.0, it is expected that humans interact with robots, known as cobots, in a collaborative working space using innovative technologies. This chapter brings some new insights on the way the components of Industry 5.0 readiness model influence value added reported by countries, for the period between 2017 and 2019, on four levels of analysis, namely: (i) country gross value added; (ii) environmental activities value added; (iii) ICT sector value added; (iv) labour productivity. Our results prove that selected components of the Industry 5.0 readiness model determine a positive marginal effect on the value added reported by countries. We also registered a significant influence on the development of the circular economy, in strong relation with the development of the knowledge economy. This highlights the fact that the results of the research are efficiently implemented on manufacturing operations by highly skilled employees, leading to increase firms’ performance, improving at the same time the cooperation between humans and smart machines, as stated in the Industry 5.0 framework.

Aura Domil, Valentin Burca, Oana Bogdan

Chapter 10. Trends in Teaching Artificial Intelligence for Industry 5.0

Abstract

As Industry 5.0 is about refining the collaborative interactions between humans and machines and so taking a step further, the efficiency and productivity of machines, processes, and systems together with humans, the Artificial Intelligence (AI) paradigm teaching at the university level for engineering has globally changed in last years, with local and regional exceptions, from a wide range of background of principles, tools, algorithms in the field of pattern recognition, clustering, intelligent decision-making education to a narrow band of AI basic principles and very specific, restricted useful tools/information such as: Machine Learning, especially Deep Leering, Convolutional Neural Networks, and Brain Computer Interface (BCI).

Cristin Bigan

Chapter 11. Trends for Manufacturing Industry: A Strategic Roadmap Toward Industry 5.0

Abstract

Innovation has led to the rapid development of the manufacturing industry. The future directions of the manufacturing industry will highlight new competencies that employees will have to have and requirements that companies will have to have. The evaluation of these directions and the proposal of some organizational strategies represent necessary elements for the industry, experts and those who want to get started in the production activity. This chapter evaluates the implications of Industry 4.0 and makes an inventory of the technologies used in this industrial era. To consolidate the importance of this revolution for the manufacturing industry, a presentation of the situation in Romania is made from the perspective of various important indicators for Industry 4.0. At the end of the chapter is presented a market research and the strategic roadmap for the future of manufacturing. The case study highlights the fact that companies have a major interest in automation and digitization, but there are also several barriers that must be overcome. These barriers can be overcome with the help of facilitators that are presented at the end of the chapter.

Florin Dragan, Larisa Ivascu, Ben-Oni Ardelean

Titel: Sustainability and Innovation in Manufacturing Enterprises
herausgegeben von: Prof. Anca Draghici
Larisa Ivascu
Verlag: Springer Singapore
Electronic ISBN: 978-981-16-7365-8
Print ISBN: 978-981-16-7364-1
DOI: https://doi.org/10.1007/978-981-16-7365-8

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