Power Level Sampling of Metal Cutting Machines for Data Representation in Discrete Event Simulation
Journal article, 2014

An extension to the application area for discrete event simulation (DES) has been ongoing since the last decade and focused only on economic aspects to include ecologic sustainability. With this new focus, additional input parameters, such as electrical power consumption of machines, are needed. This paper aim at investigating how NC machine power consumption should be represented in simulation models of factories. The study includes data-sets from three different factories. One factory producing truck engine blocks, one producing brake disc parts for cars and one producing forklift components. The total number of data points analysed are more than 2,45,000, where of over 1,11,000 on busy state for 11 NC machines. The low variability between busy cycles indicates that statistical representations are not adding significant variability. Furthermore, results show that non-value-added activities cause a substantial amount of the total energy consumption, which can be reduced by optimising the production flow using dynamic simulations such as DES.


energy modelling

power-level sampling

sustainable manufacturing

discrete event simulation

data mining

production flow analysis


Björn Johansson

Chalmers, Product and Production Development, Production Systems

Anders Skoogh

Chalmers, Product and Production Development, Production Systems

Jon Andersson

Chalmers, Product and Production Development, Production Systems

Karin Ahlberg

Chalmers, Product and Production Development, Production Systems

International Journal of Production Research

0020-7543 (ISSN) 1366-588X (eISSN)

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Energy Engineering

Other Environmental Engineering

Environmental Management

Vehicle Engineering

Energy Systems

Other Electrical Engineering, Electronic Engineering, Information Engineering

Driving Forces

Sustainable development

Areas of Advance




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