CPL - Chalmers Publication Library
| Utbildning | Forskning | Styrkeområden | Om Chalmers | In English In English Ej inloggad.

Utilizing Combinatorial Testing on Discrete Event Simulation Models for Sustainable Manufacturing

Björn Johansson (Institutionen för produkt- och produktionsutveckling, Produktionssystem) ; Raghu Kacker ; Rüediger Kessel ; Charles McLean ; Ram Sriram
In Proceedings of 2009 ASME Design for Manufacturing and the Life Cycle Conference p. 1095-1101. (2010)
[Konferensbidrag, refereegranskat]

This paper describes how combinatorial testing using covering arrays can be implemented to optimize discrete event simulation models of manufacturing systems for measures of sustainability Discrete event simulation models often have hundreds of parameters and many test values for each parameter Generally the interactions between the parameter-values are not well understood this can lead to sub-optimization of the system Most optimization engines and software for discrete event simulation packages use full factorial designs, which require many runs and hence a lot of computation time In this paper we introduce combinatorial testing using a test-suite generation tool called NIST-ACTS (National Institute of Standards and Technology - Advanced Combinatorial Test Suites) to dramatically decrease the number of runs required to detect the interactions and determine an optimal solution.

Nyckelord: Combinatorial testing, discrete event simulation, environmental impact optimization

Denna post skapades 2009-12-09. Senast ändrad 2014-12-09.
CPL Pubid: 103117