Power Level Sampling of Metal Cutting Machines for Data Representation in Discrete Event Simulation
Artikel i vetenskaplig tidskrift, 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.

power-level sampling

data mining

energy modelling

sustainable manufacturing

production flow analysis


discrete event simulation


Björn Johansson

Chalmers, Produkt- och produktionsutveckling, Produktionssystem

Anders Skoogh

Chalmers, Produkt- och produktionsutveckling, Produktionssystem

Jon Larborn

Chalmers, Produkt- och produktionsutveckling, Produktionssystem

Karin Ahlberg

Chalmers, Produkt- och produktionsutveckling, Produktionssystem

International Journal of Production Research

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


Produktionsteknik, arbetsvetenskap och ergonomi


Annan naturresursteknik




Annan elektroteknik och elektronik


Hållbar utveckling