scholarly journals Graphical Deduction Model Based Production Instruction Service System for Smart Job Shops in Industry 4.0

Procedia CIRP ◽  
2019 ◽  
Vol 83 ◽  
pp. 739-742
Author(s):  
Chuang Wang ◽  
Xu’nan Chen ◽  
Junsheng Wu ◽  
Zhixiang Zhu
Keyword(s):  
Industry 4.0 ◽  
Service System ◽  
Job Shops ◽  
Model Based

Logistics 4.0 Energy Modelling

2021 ◽  
pp. 436-460
Author(s):  
Megashnee Munsamy ◽  
Arnesh Telukdarie ◽  
Pavitra Dhamija
Keyword(s):  
Industry 4.0 ◽  
Energy Demand ◽  
Business Processes ◽  
Industrial Revolution ◽  
Ghg Emissions ◽  
Energy Model ◽  
Logistics Network ◽  
Model Based ◽  
Research Propositions ◽  
Energy Optimisation

Logistics activities are significant energy consumers and known contributors to GHG emissions, hence optimisation of logistics energy demand is of critical importance. The onset of the fourth Industrial revolution delivers significant technological opportunities for logistics optimisation with additional benefits in logistics energy optimisation. This research propositions a business process centric logistics model based on Industry 4.0. A Logistics 4.0 architecture is developed comprising Industry 4.0 technologies and associated enablers. The Industry 4.0 architecture components are validated by conducting a Systematic Literature Review on Industry 4.0 and logistics. Applying the validated Logistics 4.0 architecture to a cyber physical logistics energy model, based on the digitalisation of business processes, a comprehensive simulation is developed identified as the Logistic 4.0 Energy Model. The model simulates the technological impact of Industry 4.0 on a logistics network. The model generates energy and CO2 emission values for “as-is” and “to-be” Industry 4.0 scenarios.

Supply chain architecture model based in the industry 4.0, validated through a mobile application

2017 ◽  
Vol 10 (32) ◽  
pp. 1581-1594 ◽  
Author(s):  
Jose Ignacio Rodriguez Molano ◽  
Leonardo Emiro Contreras Bravo ◽  
Edwin Rivas Trujillo
Keyword(s):  
Supply Chain ◽  
Mobile Application ◽  
Industry 4.0 ◽  
Architecture Model ◽  
Model Based ◽  
Chain Architecture

scholarly journals Process Efficiency Analysis of Selected Automotive Companies in Europe

2020 ◽  
Vol 22 (4) ◽  
pp. 20-27
Author(s):  
Kveta Papouskova ◽  
Martin Telecky ◽  
Jiri Cejka
Keyword(s):  
Automotive Industry ◽  
Industry 4.0 ◽  
Production Efficiency ◽  
Efficiency Analysis ◽  
Process Efficiency ◽  
Data Envelopment ◽  
The Czech Republic ◽  
Model Based ◽  
Considerable Impact ◽  
Ccr Model

The automotive industry has lately been undergoing major changes having a considerable impact on the whole vehicle sector. This does not only refer to what is technologically new on vehicles themselves, but also to the new modern management methods, frequently associated with the Industry 4.0 concept. As well as other companies, car factories are pushing their costs downwards to increase their production efficiency. This paper analyses the economic situation of 5 car manufacturers, two of which having their factories in the Czech Republic and three in Germany. The task was to ascertain efficiency of individual companies in order to propose possible improvements. To do this, the Data Envelopment Analysis (DEA) for two models (CCR - model based on Charnes, Cooper & Rhodes and BCC - model based on Banker, Charnes & Cooper) was used. The BCC model was found to be more applicable to the established efficiencies, than the CCR one.

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