scholarly journals Introductory Chapter: Mass Production and Industry 4.0

2020 ◽  
Author(s):  
Anil Akdogan ◽  
Ali Serdar Vanli
Keyword(s):  
Mass Production ◽  
Industry 4.0

scholarly journals Economies of Scale and Network Economies in Industry 4.0. Theoretical Analysis and Future Directions of Research

2018 ◽  
Author(s):  
Giacomo Büchi ◽  
Monica Cugno ◽  
Rebecca Castagnoli
Keyword(s):  
Mass Production ◽  
Industry 4.0 ◽  
Economies Of Scale ◽  
Industrial Revolution ◽  
New Production ◽  
Future Directions ◽  
Enabling Technologies ◽  
Production Models ◽  
Cost Differentials

This paper analyses the role of cost differentials in the fourth industrial revolution. It uses a literature review in order to identify origins, definitions, enabling technologies and changes in company productivity. Research results show how certain Industry 4.0 enabling technologies help obtain better economic results in mass production and others that support new production models in mass production: mass customization and mass personalization. This paper is of a theoretical nature and identifies certain reflections concerning Industry 4.0’s role in managerial literature by providing interesting lines to be developed in future directions of research.

scholarly journals Development of a Smart Cyber-Physical Manufacturing System in the Industry 4.0 Context

2019 ◽  
Vol 9 (16) ◽  
pp. 3325 ◽  
Author(s):  
Tran ◽  
Park ◽  
Nguyen ◽  
Hoang
Keyword(s):  
Radio Frequency Identification ◽  
Mass Production ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Shop Floor ◽  
Self Healing ◽  
Manufacturing Environment ◽  
Information And Communication ◽  
Ict Infrastructure

The complexity and dynamic of the manufacturing environment are growing due to the changes of manufacturing demand from mass production to mass customization that require variable product types, small lot sizes, and a short lead-time to market. Currently, the automatic manufacturing systems are suitable for mass production. To cope with the changes of the manufacturing environment, the paper proposes the model and technologies for developing a smart cyber-physical manufacturing system (Smart-CPMS). The transformation of the actual manufacturing systems to the Smart-CPMS is considered as the next generation of manufacturing development in Industry 4.0. The Smart-CPMS has advanced characteristics inspired from biology such as self-organization, self-diagnosis, and self-healing. These characteristics ensure that the Smart-CPMS is able to adapt with continuously changing manufacturing requirements. The model of Smart-CPMS is inherited from the organization of living systems in biology and nature. Consequently, in the Smart-CPMS, each resource on the shop floor such as machines, robots, transporters, and so on, is an autonomous entity, namely a cyber-physical system (CPS) which is equipped with cognitive capabilities such as perception, reasoning, learning, and cooperation. The Smart-CPMS adapts to the changes of manufacturing environment by the interaction among CPSs without external intervention. The CPS implementation uses the cognitive agent technology. Internet of things (IoT) with wireless networks, radio frequency identification (RFID), and sensor networks are used as information and communication technology (ICT) infrastructure for carrying out the Smart-CPMS.

scholarly journals Production Innovation and Effective Dissemination of Information for Operator 4.0

2020 ◽  
Author(s):  
Dan Li ◽  
Åsa Fast-Berglund ◽  
Dan Paulin
Keyword(s):  
Mass Production ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Shop Floor ◽  
Process Innovations ◽  
Product Innovations ◽  
Effective Dissemination ◽  
Everyday Work ◽  
Cognitive Automation ◽  
Organizational Innovations

The manufacturing industry is becoming increasingly more complex as the paradigm of mass-production moves, via mass-customization, towards personalized production and Industry 4.0. This increased complexity in the production system also makes everyday work for shop-floor operators more complex. To take advantage of this complexity, shop-floor operators need to be properly supported in order to perform their important work. The shop-floor operators in this future complex manufacturing industry, the Operator 4.0, need to be supported with the implementation of new cognitive automation solutions. These automation solutions, together with the innovativeness of new processes and organizations will increase the competitiveness of the manufacturing industry. This paper discusses three different aspects of production innovation in the context of the needs and preferences of information for Operator 4.0. Conclusively, product innovations can be applied in the manufacturing processes, and thus becoming process innovations, but the implementation of such innovations require organizational innovations.

scholarly journals Digital factory in the University of Pannonia Nagykanizsa Campus - the Factory Subsystem

2019 ◽  
Vol 13 (1) ◽  
pp. 21-27
Author(s):  
Krisztián Attila Bakon ◽  
Adrienn Skrop ◽  
Szilárd Jaskó ◽  
Tibor Holczinger
Keyword(s):  
21St Century ◽  
Mass Production ◽  
Industry 4.0 ◽  
Manufacturing Companies ◽  
Industrial Laboratory ◽  
Digital Factory ◽  
Customized Production ◽  
New Challenges ◽  
The University ◽  
Real Challenge

One of the new challenges of the 21st century is the Industry 4.0. Manufacturing companies moving away from mass production and getting closer to customized production and manufacturing of customized products through digitization. The expectations are high, meeting the requirements is a real challenge to industrial partners. In order to help meet the challenges the University of Pannonia Nagykanizsa Campus started to establish a fully automatized industrial laboratory. In this paper the architecture of the Industry 4.0 laboratory and the purpose of the Factory Subsystem is presented.

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