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Power Level Sampling of Metal Cutting Machines for Data Representation in Discrete Event Simulation

Björn Johansson (Institutionen för produkt- och produktionsutveckling, Produktionssystem) ; Anders Skoogh (Institutionen för produkt- och produktionsutveckling, Produktionssystem) ; Jon Andersson (Institutionen för produkt- och produktionsutveckling, Produktionssystem) ; Karin Ahlberg (Institutionen för produkt- och produktionsutveckling, Produktionssystem) ; Lars Hanson (Institutionen för produkt- och produktionsutveckling, Produktionssystem ; Extern)
International Journal of Production Research (0020-7543). (2014)
[Artikel, refereegranskad vetenskaplig]

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.

Nyckelord: sustainable manufacturing, production flow analysis, simulation, data mining, discrete event simulation, energy modelling, power-level sampling

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Denna post skapades 2014-12-08. Senast ändrad 2016-01-15.
CPL Pubid: 207599


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