Developing I4.0 Readiness Index for Factory Operation in Indonesia to Enhance INDI 4.0

2021 ◽  
Vol 11 (4) ◽  
pp. 1668
Author(s):  
Hasbullah Hasbullah ◽  
Salleh Ahmad Bareduan ◽  
Sawarni Hasibuan
Keyword(s):  
Factory Operation

Roadmap Greenhouse Gas Neutral Sugar Industry in Germany – Pathways to Climate Neutrality 2050

2021 ◽  
pp. 86-91
Author(s):  
Michael Ricke-Herbig ◽  
Oliver Schollmeyer
Keyword(s):  
Greenhouse Gas ◽  
Energy Production ◽  
Animal Feed ◽  
Sugar Industry ◽  
Electrical Energy ◽  
Neutral Sugar ◽  
Feed Production ◽  
Beet Pulp ◽  
Climate Neutrality ◽  
Factory Operation

To achieve greenhouse gas-neutral sugar production in Germany, a general realignment of energy production and energy sources is required. Three different solutions were investigated for this purpose. In two of the scenarios, beet pulp currently used for animal feed production would be used. They could be used as an energy source either by fermentation into biogas or as a solid fuel (in addition to wood). The third possible path would be to switch to largely electric factory operation using electrical energy from renewable sources.

scholarly journals Resource Networks: Decentralised Factory Operation Utilising Renewable Energy Sources

Procedia CIRP ◽  
2015 ◽  
Vol 26 ◽  
pp. 486-491 ◽  
Author(s):  
Johannes Stoldt ◽  
Enrico Franz ◽  
Andreas Schlegel ◽  
Matthias Putz
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Resource Networks ◽  
Factory Operation

The System Software for Automatic Jam Detection and Recovery on Manufacturing System

2012 ◽  
Vol 271-272 ◽  
pp. 575-579
Author(s):  
Hwa Young Jeong ◽  
Bong Hwa Hong
Keyword(s):  
Computer Aided Design ◽  
High Performance ◽  
Manufacturing System ◽  
Recovery Process ◽  
Numerical Control ◽  
Computer Integrated Manufacturing ◽  
Integrated Manufacturing ◽  
System Engineer ◽  
Aided Design ◽  
Factory Operation

In manufacturing system, around the year 1950’s, computer aided design (CAD) and developments of NC resulted which led to the evolution of systems like computer numerical control (CNC) and direct numerical control (DNC). Today, computer integrated manufacturing is a reality. The advent of computer integrated manufacturing system has got an efficiency and high performance for production. And manufacturing system operating ratio was related by cost-efficiency of the factory operation and increasing good production. However it has still problem that the system engineer who is in the factory hard to keep watching the manufacturing system always in order to recover the manufacturing system when it has system error. In this paper, we propose system jam detection and recovery process for manufacturing system. For this process, we make and use system Jam Database and Jam Recovery Process Sequence.

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