A state-of-the-art review on industry 4.0 and related key technologies

AbstractThis work aims to review literature related to the latest cyber-physical systems (CPS) for manufacturing in the revolutionary Industry 4.0 for a comprehensive understanding of the challenges, approaches, and used techniques in this domain. Different published studies on CPS for manufacturing in Industry 4.0 paradigms through 2010 to 2019 were searched and summarized. We, then, analyzed the studies at a different granularity level inspecting the title, abstract, and full text to include in the prospective study list. Out of 626 primarily extracted relevant articles, we scrutinized 78 articles as the prospective studies on CPS for manufacturing in Industry 4.0. First, we analyzed the articles’ context to identify the major components along with their associated fine-grained constituents of Industry 4.0. Then, we reviewed different studies through a number of synthesized matrices to narrate the challenges, approaches, and used techniques as the key-enablers of the CPS for manufacturing in Industry 4.0. Although the key technologies of Industry 4.0 are the CPS, Internet of Things (IoT), and Internet of Services (IoS), the human component (HC), cyber component (CC), physical component (PC), and their HC-CC, CC-PC, and HC-PC interfaces need to be standardized to achieve the success of Industry 4.0.

Download Full-text

Artificial Intelligence and the Internet of Things in Industry 4.0

CCF Transactions on Pervasive Computing and Interaction ◽

10.1007/s42486-021-00057-3 ◽

2021 ◽

Author(s):

Petar Radanliev ◽

David De Roure ◽

Razvan Nicolescu ◽

Michael Huth ◽

Omar Santos

Keyword(s):

Artificial Intelligence ◽

Internet Of Things ◽

Industry 4.0 ◽

Cyber Physical Systems ◽

Physical Systems ◽

Leading Industry ◽

Key Technologies ◽

The Internet Of Things ◽

State Of Art ◽

Social Level

AbstractThis paper presents a new design for artificial intelligence in cyber-physical systems. We present a survey of principles, policies, design actions and key technologies for CPS, and discusses the state of art of the technology in a qualitative perspective. First, literature published between 2010 and 2021 is reviewed, and compared with the results of a qualitative empirical study that correlates world leading Industry 4.0 frameworks. Second, the study establishes the present and future techniques for increased automation in cyber-physical systems. We present the cybersecurity requirements as they are changing with the integration of artificial intelligence and internet of things in cyber-physical systems. The grounded theory methodology is applied for analysis and modelling the connections and interdependencies between edge components and automation in cyber-physical systems. In addition, the hierarchical cascading methodology is used in combination with the taxonomic classifications, to design a new integrated framework for future cyber-physical systems. The study looks at increased automation in cyber-physical systems from a technical and social level.

Download Full-text

Scheduling in Production, Supply Chain and Industry 4.0 Systems by Optimal Control: Fundamentals, State-of-the-Art, and Applications

SSRN Electronic Journal ◽

10.2139/ssrn.3494563 ◽

2019 ◽

Cited By ~ 1

Author(s):

Dmitry Ivanov ◽

Boris Sokolov ◽

Alexandre Dolgui ◽

Suresh Sethi

Keyword(s):

Optimal Control ◽

Supply Chain ◽

Industry 4.0 ◽

State Of The Art

Download Full-text

Developing Trends in Power and Networking Technologies for Intelligent Cities

Developing and Monitoring Smart Environments for Intelligent Cities - Advances in Civil and Industrial Engineering ◽

10.4018/978-1-7998-5062-5.ch003 ◽

2021 ◽

pp. 61-85

Author(s):

Kadir Alpaslan Demir ◽

Buğra Turan

Keyword(s):

Artificial Intelligence ◽

Internet Of Things ◽

Industry 4.0 ◽

Ambient Intelligence ◽

The Internet ◽

Key Technologies ◽

Intelligent Cities ◽

Networking Technologies ◽

The Internet Of Things

The introduction of Industry 4.0 has increased the focus on a number of technologies. These technologies also help realize the vision for intelligent cities. Furthermore, there are already discussions of Industry 5.0. One emerging aspect of Industry 5.0 is human-robot co-working. With the help of artificial intelligence, the internet of things paradigm, Industry 4.0, and Industry 5.0 visions, there will be two predominant types of systems interfacing with people in intelligent cities. These are robotic and ambient intelligence systems. The increasing deployment of these will help make cities even smarter. However, we need to see advancements in a number of relevant key technologies, including power and networking technologies. In this chapter, first, the authors briefly discuss Industry 4.0, Industry 5.0, and intelligent cities paradigm, as well as robotic and ambient intelligence systems. Then, they focus on developing trends in power and networking technologies.

Download Full-text

A Comprehensive Study on Internet of Things Based on Key Artificial Intelligence Technologies and Industry 4.0

Research Anthology on Cross-Industry Challenges of Industry 4.0 ◽

10.4018/978-1-7998-8548-1.ch010 ◽

2021 ◽

pp. 171-191

Author(s):

Banu Çalış Uslu ◽

Seniye Ümit Oktay Fırat

Keyword(s):

Artificial Intelligence ◽

Internet Of Things ◽

Information Exchange ◽

Industry 4.0 ◽

New Technology ◽

Smart Devices ◽

Complex Environments ◽

Novel Approach ◽

Key Technologies ◽

Shed Light

Under uncertainty, understanding and controlling complex environments is only possible with an ability to use distributed computing by the way of information exchange between devices to be able to understand the response of the system to a particular problem. From transformation of raw data in a huge distribution of network into the meaningful information, to use the understood knowledge to make rapid decisions needs to have a network composed of smart devices. Internet of things (IoT) is a novel approach, where these smart devices can communicate with each other by using key technologies of artificial intelligence (AI) in order to make timely autonomous decisions. This emerging technical advancement and realization of horizontal and vertical integration caused the fourth stage of industrialization (Industry 4.0). The objective of this chapter is to give detailed information on both IoT based on key AI technologies and Industry 4.0. It is expected to shed light on new work to be done by providing explanations about the new areas that will emerge with this new technology.

Download Full-text

Impact of Industry 4.0 on Sustainability—Bibliometric Literature Review

Sustainability ◽

10.3390/su12145650 ◽

2020 ◽

Vol 12 (14) ◽

pp. 5650 ◽

Cited By ~ 3

Author(s):

Krzysztof Ejsmont ◽

Bartlomiej Gladysz ◽

Aldona Kluczek

Keyword(s):

Literature Review ◽

Industry 4.0 ◽

Web Of Science ◽

State Of The Art ◽

Industrial Processes ◽

Reference Framework ◽

Sustainability Challenges ◽

The Relationship ◽

Insight Into ◽

Technological Perspective

Nowadays, sustainability and Industry 4.0 (I4.0) are trending concepts used in the literature on industrial processes. Industry 4.0 has been mainly addressed by the current literature from a technological perspective, overlooking sustainability challenges regarding this recent paradigm. The objective of this paper is to evaluate the state of the art of relations between sustainability and I4.0. The goal will be met by (1) mapping and summarizing existing research efforts, (2) identifying research agendas, (3) examining gaps and opportunities for further research. Web of Science, Scopus, and a set of specific keywords were used to select peer-reviewed papers presenting evidence on the relationship between sustainability and I4.0. To achieve this goal, it was decided to use a dynamic methodology called “systematic literature network analysis”. This methodology combines a systematic literature review approach with the analysis of bibliographic networks. Selected papers were used to build a reference framework formed by I4.0 technologies and sustainability issues. The paper contributes to the Sustainable Industry 4.0 reference framework with application procedures. It aims to show how I4.0 can support ideas of sustainability. The results showed that apart from a huge contribution to both concepts, many papers do not provide an insight into realization of initiatives to introduce Sustainable Industry 4.0.

Download Full-text

Industry 4.0 Readiness Factor Calculation and Process Planning: State-of-the-Art Review

Transactions of FAMENA ◽

10.21278/tof.44301 ◽

2020 ◽

Vol 44 (3) ◽

pp. 1-22

Author(s):

Maja Trstenjak ◽

Tihomir Opetuk

Keyword(s):

Process Planning ◽

Industry 4.0 ◽

State Of The Art

Download Full-text

Semantic Web of Things for Industry 4.0

Semantic Web ◽

10.3233/sw-200407 ◽

2020 ◽

Vol 11 (6) ◽

pp. 885-886

Author(s):

Dhavalkumar Thakker ◽

Pankesh Patel ◽

Muhammad Intizar Ali ◽

Tejal Shah

Keyword(s):

Semantic Web ◽

Industry 4.0 ◽

State Of The Art ◽

The State ◽

Special Issue ◽

Semantic Web Technologies ◽

Web Of Things ◽

Web Technologies

Welcome to this special issue of the Semantic Web (SWJ) journal. The special issue compiles four technical contributions that significantly advance the state-of-the-art in Semantic Web of Things for Industry 4.0 including the use of Semantic Web technologies and techniques in Industry 4.0 solutions.

Download Full-text

Instrumentation, control and automation in the water industry – state-of-the-art and new challenges

Water Science & Technology ◽

10.2166/wst.2006.097 ◽

2006 ◽

Vol 53 (4-5) ◽

pp. 1-16 ◽

Cited By ~ 13

Author(s):

G. Olsson

Keyword(s):

Distribution System ◽

Water Distribution ◽

Water Distribution System ◽

State Of The Art ◽

Water Industry ◽

Treatment Processes ◽

Key Technologies ◽

Wastewater Systems ◽

Water And Wastewater ◽

New Challenges

Instrumentation, control and automation (ICA) are key technologies in modern water and wastewater systems. Ever present disturbances make it necessary to automatically attenuate their consequences. A wastewater treatment system is load driven, while a water distribution system is demand driven. Despite the variability the system outputs have to be satisfactory. Economic realities encourages the application of ICA to make a maximum use of plant capacities. An increasing complexity of competing processes in a modern nutrient removal plant makes more elaborate control necessary. The final goal of protecting the environmental resources necessitates an integrated view of several interdependent systems, the collection, transport and treatment processes. In this integrating development ICA will be a decisive technology.

Download Full-text