Development of a CPS Platform and Digital Twin Applications for Production Lines of Automotive Parts

2021 ◽  
Vol 26 (4) ◽  
pp. 285-298
Author(s):  
Jonghwan Choi ◽  
Jinho Yang ◽  
Joohee Lym ◽  
Sang Do Noh ◽  
Sang Hyun Lee ◽  
...  
Keyword(s):  
Production Lines ◽  
Digital Twin ◽  
Automotive Parts

Digital twin-driven complexity management in intelligent manufacturing

Digital Twin ◽  
2021 ◽  
Vol 1 ◽  
pp. 9
Author(s):  
Yuchen Wang ◽  
Xingzhi Wang ◽  
Fei Tao ◽  
Ang Liu
Keyword(s):  
Intelligent Manufacturing ◽  
Production Lines ◽  
Human Machine Interaction ◽  
Digital Twin ◽  
Complexity Management ◽  
Manufacturing Complexity ◽  
Design Production ◽  
Data Collections ◽  
Machine Interaction

Complexity management is one of the most crucial and challenging issues in manufacturing. As an emerging technology, digital twin provides an innovative approach to manage complexity in a more autonomous, analytical and comprehensive manner. This paper proposes an innovative framework of digital twin-driven complexity management in intelligent manufacturing. The framework will cover three sources of manufacturing complexity, including product design, production lines and supply chains. Digital twin provides three services to manage complexity: (1) real-time monitors and data collections; (2) identifications, diagnoses and predictions of manufacturing complexity; (3) fortification of human-machine interaction. A case study of airplane manufacturing is presented to illustrate the proposed framework.

Networking of Digital Twins in the Digital Factory for Single Part Manufacturing Simulation

2021 ◽  
Author(s):  
Johannes Olbort ◽  
Vladimir Kutscher ◽  
Maximilian Moser ◽  
Reiner Anderl
Keyword(s):  
Dynamic Networks ◽  
Value Added ◽  
Production Lines ◽  
Digital Factory ◽  
Manufacturing Simulation ◽  
Digital Twin ◽  
A Value ◽  
Digital Twins ◽  
Key Aspects ◽  
Single Part

Abstract Organizing manufacturing in dynamic networks instead of inflexible production lines is one of the key aspects of Industry 4.0. This should serve to realize automation and effectiveness to a higher degree than previously achievable. For this modernization, Cyber-Physical Systems should be utilized, where a Digital Twin mirrors the behavior of its Physical Twin and makes the data during manufacturing externally available via communication interfaces. This Digital Twin should be an instantiation of a Digital Master, which must meet the requirements for communication in dynamically changing value-added networks. The networking capability of objects requires semantic information. This information is associated with rules for decision making within a value-added network. This paper addresses the need for research on how to add networking capabilities during the development of Digital Masters. With these added capabilities, the communication between Digital Masters and Twins in terms of a single part manufacturing simulation should be verifiable in a Digital Factory. For this purpose, the concept of this paper aims to outline guidelines on how to add networking capabilities to the single part, machines and other resources needed during manufacturing.

scholarly journals Digital Twin for Monitoring Ergonomics during Manufacturing Production

2020 ◽  
Vol 10 (21) ◽  
pp. 7758
Author(s):  
Alessandro Greco ◽  
Mario Caterino ◽  
Marcello Fera ◽  
Salvatore Gerbino
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
Methodological Framework ◽  
Production Lines ◽  
Work Activities ◽  
Digital Twin ◽  
Set Up ◽  
Operational Issues ◽  
Smart Factories

Within the era of smart factories, concerning the ergonomics related to production processes, the Digital Twin (DT) is the key to set up novel models for monitoring the performance of manual work activities, which are able to provide results in near real time and to support the decision-making process for improving the working conditions. This paper aims to propose a methodological framework that, by implementing a human DT, and supports the monitoring and the decision making regarding the ergonomics performances of manual production lines. A case study, carried out in a laboratory, is presented for demonstrating the applicability and the effectiveness of the proposed framework. The results show how it is possible to identify the operational issues of a manual workstation and how it is possible to propose and test improving solutions.

scholarly journals A Wire Rod Rolling Mill Digital Twin for the Simulation of the Rolls Replacement Process

Proceedings ◽  
2020 ◽  
Vol 63 (1) ◽  
pp. 13
Author(s):  
Ana María Valdeón Junquera ◽  
Javier García González ◽  
Joaquín Manuel Villanueva Balsera ◽  
Vicente Rodríguez Montequín
Keyword(s):  
Rolling Mill ◽  
Intelligent Manufacturing ◽  
Smart Manufacturing ◽  
Production Lines ◽  
Human Decision Process ◽  
Digital Twin ◽  
Wire Rod ◽  
Replacement Process ◽  
Human Decision ◽  
Rod Rolling

Smart Manufacturing is a goal to be achieved, and the most advanced manufacturing approaches are being used to pursue this objective. Within this context, industry development aims to attain an intelligent manufacturing using, for example, virtual models that simulate production lines. This paper presents the architecture of a Digital Twin for emulating the rolls replacement process within a wire rod rolling mill. The model is developed in Python, using a backtracking algorithm to select the suitable set of rolls as a first basic approach for the validation of the system. It may be used in the future to improve the production system automating the decision for the replacement of rolls as alternative to the current human-decision process.

Digital Twin-Driven Rapid Customized Design of Board-Type Furniture Production Line

2021 ◽  
pp. 1-34
Author(s):  
Yan Douxi ◽  
Liu Qiang ◽  
Jiewu Leng ◽  
Zhang Ding ◽  
Rongli Zhao ◽  
...  
Keyword(s):  
Production Line ◽  
Manufacturing System ◽  
Design Method ◽  
Physical World ◽  
Production Lines ◽  
Digital Twin ◽  
Board Type ◽  
The Status ◽  
Key Enabling Technologies ◽  
Line Design

Abstract The mass personalization paradigm requires manufacturing enterprises to adapt to market changes quickly to meet customer demands. It also imposes higher requirements for designing intelligent production lines. Based on the digital twin (DT) technology, a rapid customized design method is proposed for developing new board-type furniture production lines. The DT has the characteristics of interactive virtual-reality mapping and fusion. It could provide design guidance and decision-support services in the design phase, yield the engineering analyzing ability to solve coupled problems, and finally generate the authoritative design scheme of the manufacturing system. A production line design platform is developed based on the DT model, which can parallelize the design process and reduce the design cycle. The parallel control between the physical world and digital space is achieved by establishing the DT network and perceiving the status of the physical equipment. Five key enabling technologies are introduced to provide the theoretical fundamentals for implementing the DT-based manufacturing system design approach. A board-type furniture production line is presented as a case study to verify the effectiveness of the method.

scholarly journals Implementasi SMED: Perbaikan Waktu Changeover Part pada Line Produksi Seat di PT. Selamat Sempurna, Tbk

2021 ◽  
Vol 6 (2) ◽  
pp. 105
Author(s):  
Puji Rahayu ◽  
Joko Supono ◽  
Nur Anisa
Keyword(s):  
Main Part ◽  
Production Lines ◽  
Require Time ◽  
Filter Holder ◽  
Root Cause ◽  
Fishbone Diagram ◽  
Automotive Parts ◽  
Press Shop ◽  
Process Elements ◽  
A Company

PT. Selamat Sempurna, Tbk is a company that manufactures  automotive parts, namely car filters. This filter product has many part numbers. In this company has one of the production lines, namely Line Seat Press Shop, this line produces components from filters, namely seat components. Seat is the main part of the filter component that functions as a filter holder to the engine. This Seat component consists of several part numbers (shapes or variations) following the filter product, and some part numbers handled by the manual engine B070 & L224 will affect the changes in the production engine settings. This production machine includes machines that require time in a slow setup process for switching dies when switching from one part number to another part number compared to other machines, because the element of the process setting is long. With a fishbone diagram, the root cause of the Change Over Part long problem on the machine is from the method category (there is no preparation desk dies and there is not separation of external setup and internal setup). Previously the time needed for Change Over Part was 1961 seconds. After knowing the root cause of the problem and the improvement of the time needed is only 866 seconds. The time difference is 1067 seconds, so save on average time 1095 seconds or 18 minutes / setup. Keywords: Filter product, Change Over part (COP), Fishbone Diagram, Setup, Process Elements.

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