TY - GEN
T1 - Towards an evolutionary model generation for ERP performance simulation
AU - Tertilt, Daniel
AU - Leimeister, Stefanie
AU - Gradl, Stephan
AU - Mayer, Manuel
AU - Krcmar, Helmut
PY - 2010
Y1 - 2010
N2 - The performance of ERP systems is a critical success factor for the reliable operation of a business. A promising approach to cope with the complexity of nowadays' ERP systems and to predict their actual behavior is simulation. Commercial ERP systems, however, only provide limited insight and thus several components have to be handled as black boxes and require a modeling approach. In this paper we depict an approach to increase the accuracy of ERP system performance simulation by using an evolutionary algorithm for modeling the black boxes performance behavior. We can show that evolutionary algorithms are able to generate performance models for ERP components based on measured performance data that describe the performance behavior of these components accurately. Furthermore we point out the characteristics of the algorithm, as well as its advantages and disadvantages, and give an outlook about the future research.
AB - The performance of ERP systems is a critical success factor for the reliable operation of a business. A promising approach to cope with the complexity of nowadays' ERP systems and to predict their actual behavior is simulation. Commercial ERP systems, however, only provide limited insight and thus several components have to be handled as black boxes and require a modeling approach. In this paper we depict an approach to increase the accuracy of ERP system performance simulation by using an evolutionary algorithm for modeling the black boxes performance behavior. We can show that evolutionary algorithms are able to generate performance models for ERP components based on measured performance data that describe the performance behavior of these components accurately. Furthermore we point out the characteristics of the algorithm, as well as its advantages and disadvantages, and give an outlook about the future research.
KW - ERP
KW - Evolutionary algorithm
KW - Performance modeling
KW - Performance simulation
UR - http://www.scopus.com/inward/record.url?scp=79955408962&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:79955408962
SN - 9789728939236
T3 - Proc. of the IADIS Int. Conf. Intelligent Systems and Agents 2010, Proc. of the IADIS European Conference on Data Mining 2010, Part of the MCCSIS 2010
SP - 124
EP - 128
BT - Proc. of the IADIS Int. Conf. Intelligent Systems and Agents 2010, Proc. of the IADIS European Conference on Data Mining 2010, Part of the MCCSIS 2010
T2 - IADIS Int. Conf. Intelligent Systems and Agents 2010,ISA, IADIS European Conference on Data Mining 2010,DM, Part of the MCCSIS 2010
Y2 - 28 July 2010 through 31 July 2010
ER -