Methodology for the Retrofitting of Manufacturing Resources for Migration of SME Towards Industry 4.0

2018 ◽  
pp. 337-351 ◽  
Author(s):  
Juan David Contreras Pérez ◽  
Ruth Edmy Cano Buitrón ◽  
José Isidro García Melo
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Resources

scholarly journals Remote Design and Manufacture through the Example of a Ventilator

2020 ◽  
Vol 10 (12) ◽  
pp. 4235 ◽  
Author(s):  
Andrzej Paszkiewicz ◽  
Marek Bolanowski ◽  
Grzegorz Budzik ◽  
Piotr Sowa ◽  
Tomasz Pisz ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Critical Conditions ◽  
Target System ◽  
Practical Application ◽  
New Approach ◽  
Design And Manufacturing ◽  
Manufacturing Resources ◽  
Remote Design ◽  
Design And Manufacture ◽  
Productive Environment

In this paper, the authors present a completely new approach to the remote prototyping process, taking into account the distributed nature of design and manufacturing resources. A new model is suggested, taking into account the conditions of the Industry 4.0 concept, along with a component of remote implementation and coordination of operations. On the basis of this model, the architecture of the target system is developed, which is further built and implemented in the actual productive environment. The system’s functionality additionally enables the implementation of the design and production process in critical conditions resulting from natural disasters or epidemic states. The practical application of the developed solutions is presented on the design of a ventilator, which is dedicated to help in the fight against epidemic states, e.g., coronavirus.

scholarly journals Smart cyber-physical production system enabled workpiece production in digital twin job shop

2021 ◽  
Vol 13 (9) ◽  
pp. 168781402110408
Author(s):  
Wang Chuang ◽  
Zhou Guanghui ◽  
Wu Junsheng
Keyword(s):  
Production System ◽  
Industry 4.0 ◽  
Job Shop ◽  
Interaction Model ◽  
Machining Processes ◽  
Digital Twin ◽  
Future Production ◽  
Manufacturing Resources ◽  
Level Production ◽  
Process Level

Industry 4.0 describes the future production of workpiece in job shop as: the workpiece is a smart one; it knows the details of how to manufacture itself; and it can communicate with manufacturing environment to support its own machining processes. This means that the production of workpiece places more emphasis on the smart realization of the process level in Industry 4.0. However, how to implement the production scenario based on existing technologies has not yet been well studied. On account of this, this article aims to study how to use existing technologies in job shop such as digital twins, Internet of Things (IoT), Cyber-physical Production System (CPPS), etc., to realize the workpiece-driven process-level production. The process-level production of a workpiece is divided into three stages according to the different manufacturing resources involved. On this basis, the production of the workpiece in digital twin job shop is divided into process level, operation level, and IoT/sensor level. Firstly, the manufacturing requirements at process level are generated according to production planning and process sheet. And these requirements are written into RFID tag of the workpiece. The workpiece dynamically interacts with different workstations via RFID reader/antenna in order to complete the manufacturing requirements. Secondly, based on the tag data, the interaction model of operation level, and IoT/sensor level CPPSs is given. Thirdly, at IoT/sensor level, the RFID devices are treated as a CPPS to track the manufacturing resources. And different smart sensors are used as independent sensor CPPSs to monitor the running status of machine tool. The RFID and sensor CPPSs are triggered by operation level CPPSs. Finally, a digital twin job shop is taken as an example to illustrate the feasibility of the proposed models and methods.

Digital retrofit: A first step toward the adoption of Industry 4.0 to the manufacturing systems of small and medium-sized enterprises

2020 ◽  
Vol 234 (8) ◽  
pp. 1156-1169 ◽  
Author(s):  
José I García ◽  
Ruth E Cano ◽  
Juan D Contreras
Keyword(s):  
Value Chain ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Manufacturing Sector ◽  
New Paradigm ◽  
Manufacturing Resources ◽  
Employment Generation ◽  
Large Investment ◽  
The Way

In recent years, Industry 4.0 has gained relevance in the manufacturing sector. On one hand, it is expected that this new paradigm will affect the entire value chain and increase the capabilities of the manufacturing system as a whole, in terms of interoperability and communication throughout factories and beyond. On the other hand, considering that small and medium-sized enterprises represent one of the main forces in economic development and employment generation, focus is shifting toward said manufacturing paradigm in order to ensure competitiveness in the market in the nearby future. However, economic factors could stand in the way of this migration. Thus, digital retrofit is seen as a possibility for the integration of Industry 4.0, paving the way for unappealing technologies to large investment opportunities. In this article, a thorough literary review is performed regarding the formal implementation of Industry 4.0 applications. The result is the Asset Administration Shell model. Afterward, a methodology is proposed for the design and implementation of the Asset Administration Shell, leading to a digital retrofit approach for manufacturing resources. Finally, the methodology is applied in a turning station, thereby validating an increase in the communication and interoperability of the station, which can be used to add overall value to the manufacturing system.

Marktkopplung und Ablaufdeterminismus

2017 ◽  
Vol 47 (187) ◽  
pp. 213-228
Author(s):  
Gaus Jobst ◽  
Knop Christopher ◽  
Wandjo David
Keyword(s):  
Industry 4.0 ◽  
Ongoing Debate ◽  
Centralized Planning

Through the ongoing debate different positions support the hypothesis that Industry 4.0 evokes decentralization in everyday works. In this article we argue that the technological premises of Industry 4.0 lead to the contrary: centralized planning ensuing from optimized adaptation to the imperatives of the market. We exemplify this pattern, that we named ‘determinated procedure’, through exemplary cases from different industrial branches. Furthermore, we argue that (indeed) existing decentral moments neither amount to structural decentralization nor to humanizing and empowering concessions to employees, but rather primarily serve to their integration into the enterprise and mobilization of their production intelligence.

THE SERVITIZATION IN INDUSTRY 4.0, FACING CHALLENGES AND TENDENCIES

2018 ◽  
Vol 9 (3) ◽  
pp. 1-19 ◽  
Author(s):  
Silva Leandro Monteiro ◽  
◽  
Viagi Arcione Ferreira ◽  
Giacaglia Giorgio Eugenio Oscare ◽  
◽  
...  
Keyword(s):  
Industry 4.0

THE CONCEPT OF AUTONOMOUS SYSTEMS IN INDUSTRY 4.0

2019 ◽  
Vol 12 (1) ◽  
pp. 77-87
Author(s):  
György Kovács ◽  
Rabab Benotsmane ◽  
László Dudás
Keyword(s):  
Industry 4.0 ◽  
Intelligent Systems ◽  
Autonomous Systems ◽  
Essential Element ◽  
Industrial Sector ◽  
Life Cycles ◽  
Multi Agent Systems ◽  
New Paradigm ◽  
Intelligent Machines ◽  
Digital Network

Recent tendencies – such as the life-cycles of products are shorter while consumers require more complex and more unique final products – poses many challenges to the production. The industrial sector is going through a paradigm shift. The traditional centrally controlled production processes will be replaced by decentralized control, which is built on the self-regulating ability of intelligent machines, products and workpieces that communicate with each other continuously. This new paradigm known as Industry 4.0. This conception is the introduction of digital network-linked intelligent systems, in which machines and products will communicate to one another in order to establish smart factories in which self-regulating production will be established. In this article, at first the essence, main goals and basic elements of Industry 4.0 conception is described. After it the autonomous systems are introduced which are based on multi agent systems. These systems include the collaborating robots via artificial intelligence which is an essential element of Industry 4.0.

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