scholarly journals CLOUD COMPUTING AND BIG DATA IN THE CONTEXT OF INDUSTRY 4.0 : OPPORTUNITIES AND CHALLENGES

2018 ◽  
Author(s):  
Thabit Atobishi ◽  
Zsigmond Gábor Szalay ◽  
Sule Bayraktar
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Industry 4.0

scholarly journals Supply Chain 4.0 challenges

2020 ◽  
Vol 27 (3) ◽  
Author(s):  
Felipe de Campos Martins ◽  
Alexandre Tadeu Simon ◽  
Renan Stenico de Campos
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Supply Chain ◽  
Internet Of Things ◽  
Literature Review ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Legal Challenges ◽  
New Industry

Abstract: The Supply Chain has undergone major transformations due to the need to implement new Industry 4.0 technologies, such as Internet of Things, Big Data, Cyber-Physical Systems and Cloud Computing. Thanks to these technologies, as well as to their subsystems and components, full integration of the supply chain is becoming possible. However, it is observed that the real impacts of Industry 4.0 technologies, rather positive or negative, are not yet totally clear and identified. This paper aims to identify and present an analysis of the challenges and obstacles that Industry 4.0 technologies may cause in the Supply Chain. For this, the most relevant papers on the topic were selected and analyzed through a systematic literature review. Twenty challenges grouped into four macrogroups were identified: (1) technical challenges, (2) financial, environmental and legal challenges, (3) technological challenges, and (4) sociocultural challenges. It should be noted that these challenges require greater attention and more in-depth studies on the part of the academy to support industry in order to mitigate them and thus allow better use of the available technological resources and optimize the performance of Supply Chain operations.

Balancing Exploration and Exploitation Through Customer Development Model

2021 ◽  
pp. 839-852
Author(s):  
Krishna Raj Bhandari
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Best Practices ◽  
Industry 4.0 ◽  
Development Model ◽  
Exploration And Exploitation ◽  
Customer Development

Balancing exploration and exploitation in entrepreneurial ventures enabled by Industry 4.0 has not been the focus of the existing literature. It is because the phenomenon is emerging and the focus has been to use practitioners' best practices in studying such phenomenon. In this chapter, the author combines the literature in balancing exploration and exploitation with the practitioners' best practices such as customer development model and lean startup. The author proposes that the existing models are good in principle but in order to really solve the problem in such an uncertain environment driven by big data, cloud computing, internet of things (IoT), and artificial intelligence, managers need to embed optimization algorithms in their decision making.

A Review of Cyber-Physical System Research Relevant to the Emerging IT Trends: Industry 4.0, IoT, Big Data, and Cloud Computing

2017 ◽  
Vol 02 (03) ◽  
pp. 1750011 ◽  
Author(s):  
Jin Ho Kim
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Research Trends ◽  
Cyber Physical System ◽  
System Research ◽  
Research Topics ◽  
Physical Systems ◽  
Emerging Trends

Recently, there has been an explosive growth in the development and implementation of various Cyber-Physical Systems (CPS). Accordingly, CPS-related research and advancements in CPS technologies have increasingly been part of the emerging trends in IT areas such as Internet of Things (IoT), Big Data, cloud computing, and Industry 4.0. However, there are only a few research efforts that identify the comprehensive CPS research trends relevant to the emerging IT trends. Therefore, the aim of this paper is to explore what CPS research topics are related to the emerging IT trends and to investigate how industries have implemented CPS technologies.

scholarly journals INTEGRAÇÃO INTERFUNCIONAL EM PROCESSOS DE DESENVOLVIMENTO DE PRODUTOS NA ERA DA INDÚSTRIA 4.0

2019 ◽  
Vol 5 ◽  
Author(s):  
Márcio Lopes Pimenta
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Literature Review ◽  
Product Development ◽  
Industry 4.0 ◽  
Functional Integration ◽  
Physical Processes ◽  
Firm Level ◽  
Development Processes

Industry 4.0 covers the use of technologies such as: internet of things, cloud computing, machine-to-machine integration, communication, 3D printing and big data. In this context, cross-functional integration is essential for the product development. The objective of this paper is to characterize the literature on cross-functional integration in product development processes in the context of the technologies of Industry 4.0. A systematic literature review was carried out to analyze the literature on this topic. There is a growing trend of publications mentioning cross-functional integration in product development, in the studied context. The mainstream of cross-functional integration research focuses on cooperation between people, in the sense of integrating structures of function and power. However, in the context of Industry 4.0, there is a shift in this emphasis on people. People continue to be oriented to cooperate with each other to obtain joint results at the firm level. However, this cooperation is more related to the development of skills to deal with cyber-physical processes and with the knowledge produced by machines and information systems. This kind of interaction ability between human, machine and system, can generate a new way to study cross-functional integration.

scholarly journals Modern technologies in Industry 4.0 – cyber-physical systems

2020 ◽  
Vol 7 (3) ◽  
Author(s):  
Anna Smyshlyaeva ◽  
Kseniya Reznikova ◽  
Denis Savchenko
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
The Internet ◽  
Physical Systems ◽  
Level Data ◽  
The Internet Of Things ◽  
Modern Technologies

With the advent of the Industry 4.0 concept, the approach to production automation has fundamentally changed. The manufacturing industry is based on such modern technologies as the Internet of Things, Big Data, cloud computing, artificial intelligence and cyber-physical systems. These technologies have proven themselves not only in industry, but also in various other branches of life. In this paper, the authors consider the concept of cyber-physical systems – systems based on the interaction of physical processes with computational ones. The article presents a conceptual model of cyber-physical systems that displays its elements and their interaction. In cyber-physical systems, it represents five levels: physical, network, data storage, processing and analytics level, application level. Cyber-physical systems carry out their work using a basic set of technologies: the Internet of things, big data and cloud computing. Additional technologies are used depending on the purpose of the system. At the physical level, data is collected from physical devices. With the help of the Internet of Things at the network level, data is transferred to a data warehouse for further processing or processed almost immediately thanks to cloud computing. The amount of data in cyber-physical systems is enormous, so it is necessary to use big data technology and effective methods for processing and analyzing this data. The main feature of this technological complex is real-time operation. Despite the improvement in the quality of production and human life, cyber-physical systems have a number of disadvantages. The authors highlight the main problems of cyber-physical systems and promising areas of research for their development. Having solved the listed problems, cyber-physical systems will reach a qualitatively new level of utility. The paper also provides examples of the implementation of concepts such as a smart city, smart grid, smart manufacturing, smart house. These concepts are based on the principle of cyber-physical systems.

Configuration and Business Protocol of International Load Sharing of Manufacturing and its Challenges Under I4.0 and IIoT

2019 ◽  
Author(s):  
Samir Mekid ◽  
Usman Akbar
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Customer Satisfaction ◽  
Industry 4.0 ◽  
Load Sharing ◽  
Management Condition ◽  
Investment Opportunities ◽  
Related Quality ◽  
And Performance ◽  
Manufacturing Network

Abstract The paper discusses the opportunities and challenges in a decentralized global manufacturing network infrastructure for international load sharing (ILS) envisaged for customized manufacturing. This is proposed to leverage Industry 4.0 factories to improve manufacturing throughput for worldwide orders. Smart manufactures are identified within IIoT worldwide subject to key specifications and performance. A business protocol is proposed to connect all manufacturing centers worldwide assuming their fitness to paradigm of industry 4.0 and utilizing technologies e.g. cloud computing, big-data management, condition and in-process based monitoring. The business protocol will support the ILS and manage the international orders for manufacturing products under specific requirements as a new concept compared to manual specific one. This not only allows customers to access worldwide facilities under cost, but also allows them to monitor the progress of production and related quality in real time because of IIoT. This proposed trend will lead to new investment opportunities for executives, as they will be able to sell manufacturing as a service while being connected to network from anywhere. Purchasing with online bidding, progress tracking, quick delivery and efficient routing will improve customer satisfaction.

scholarly journals The impact of Industry 4.0 on organizational performance: the case of Pakistan's retail industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shahbaz Ali ◽  
Yongping Xie
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Organizational Performance ◽  
Industry 4.0 ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Retail Industry ◽  
Content Type ◽  
The Impact ◽  
And Robotics

PurposeThe purpose of this paper was to assess and determine the impact of the five core technologies of Industry 4.0 (3D Printing, Big Data Analytics, Cloud Computing, Internet of Things (IoT) and Robotics) on the organizational performance of the retail industry in the context of Pakistan.Design/methodology/approachPakistan's retail industry was chosen as the target sector, and the target population was composed of senior-level employees, including managers from first-level positions to top-level positions, as well as subordinate employees working under the supervision of first-level managers, possessing the technological know-how of Industry 4.0. The data were collected through a matrix-based survey questionnaire that was based on a five-point Likert scale, ranging from “strongly agree” to “strongly disagree.” The process of data analysis was conducted using IBM SPSS Statistics.FindingsThe findings obtained by this research work showed a significant relationship among the five core pillars of Industry 4.0 and the organizational performance of Pakistan's retail industry. Besides, the obtained findings provided preliminary evidence that Industry 4.0's disruptive technologies, particularly, 3D printing, big data analytics, cloud computing, IoT and robotics, could help Pakistan's retail industry solve various problems and challenges, such as meager revenues, increased expenses and unorganized systems.Originality/valueThe present study extended the theoretical body of knowledge through studying and examining Industry 4.0's five crucial factors that significantly contribute to the service sector, particularly, the retail industry, of the big emerging markets (BEM) economies, including Pakistan.

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