scholarly journals Designing a Privacy Dashboard for a Smart Manufacturing Environment

2020 ◽  
pp. 79-85 ◽  
Author(s):  
Felix Mannhardt ◽  
Manuel Oliveira ◽  
Sobah Abbas Petersen
Keyword(s):  
Smart Manufacturing ◽  
Manufacturing Environment

scholarly journals Middleware Application, Suitable to Build an Automated and Connected Smart Manufacturing Environment

2021 ◽  
Author(s):  
Muzaffar Rao ◽  
Thomas Newe
Keyword(s):  
Mobile Robots ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Smart Manufacturing ◽  
Manufacturing Execution System ◽  
Manufacturing Environment ◽  
Industrial Internet ◽  
A Cell ◽  
Smart Industry ◽  
Manufacturing Execution

The current manufacturing transformation is represented by using different terms like; Industry 4.0, smart manufacturing, Industrial Internet of Things (IIoTs), and the Model-Based enterprise. This transformation involves integrated and collaborative manufacturing systems. These manufacturing systems should meet the demands changing in real-time in the smart factory environment. Here, this manufacturing transformation is represented by the term ‘Smart Manufacturing’. Smart manufacturing can optimize the manufacturing process using different technologies like IoT, Analytics, Manufacturing Intelligence, Cloud, Supplier Platforms, and Manufacturing Execution System (MES). In the cell-based manufacturing environment of the smart industry, the best way to transfer the goods between cells is through automation (mobile robots). That is why automation is the core of the smart industry i.e. industry 4.0. In a smart industrial environment, mobile-robots can safely operate with repeatability; also can take decisions based on detailed production sequences defined by Manufacturing Execution System (MES). This work focuses on the development of a middleware application using LabVIEW for mobile-robots, in a cell-based manufacturing environment. This application works as middleware to connect mobile robots with the MES system.

scholarly journals Sensor-Based Real-Time Detection in Vulcanization Control Using Machine Learning and Pattern Clustering

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3123 ◽  
Author(s):  
Jonghyuk Kim ◽  
Hyunwoo Hwangbo
Keyword(s):  
Real Time ◽  
Chemical Properties ◽  
Innovation Process ◽  
Smart Manufacturing ◽  
Paradigm Shifts ◽  
Manufacturing Environment ◽  
Pattern Clustering ◽  
Sensing Technology ◽  
Input Variables ◽  
Manual Testing

Recent paradigm shifts in manufacturing have resulted from the need for a smart manufacturing environment. In this study, we developed a model to detect anomalous signs in advance and embedded it in an existing programmable logic controller system. For this, we investigated the innovation process for smart manufacturing in the domain of synthetic rubber and its vulcanization process, as well as a real-time sensing technology. The results indicate that only analysis of the pattern of input variables can lead to significant results without the generation of target variables through manual testing of chemical properties. We have also made a practical contribution to the realization of a smart manufacturing environment by building cloud-based infrastructure and models for the pre-detection of defects.

Investigation of Delta Robot 3D Printer for a Good Quality of Printing

2017 ◽  
Vol 870 ◽  
pp. 164-169 ◽  
Author(s):  
Cheng Tiao Hsieh
Keyword(s):  
3D Printing ◽  
Low Cost ◽  
Standard Procedure ◽  
Smart Manufacturing ◽  
The Internet ◽  
3D Printer ◽  
Printing Industry ◽  
Manufacturing Environment ◽  
3D Printers

Within this couple of years, a group of skilled people called “Maker” are interested in building everything by themselves. They attempt to develop a small manufacturing environment where allows people to execute a low cost fabrication task. In order to achieve this goal, they utilized flexible and smart manufacturing machines like 3D printers, laser cutter and small CNC. Especially 3D printer, its excellent performances had grasped many government administrators’ attention and developing 3D printing industry has become an important policy of many countries. Some of 3D printing patents have been expired within recent years. This event makes opens sources of 3D printers grow very fast. The Kossel Mini, Rostock and Prusa i3 are the typical examples. All of development kits of the above printers can be freely obtained from the Internet. This event makes a low cost fabrication become possible. However, the quality of their printed parts is dependent on a series of calibrations. The calibrations include defining the dimensions of hard frame of the printer, configuring firmware and setting building parameters of software. In order to let users to go through entire calibrating process, this paper proposed a standard procedure to calibrate Kossel Mini as well as make it print a good quality part.

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