An intelligent algorithm for modeling and optimizing dynamic supply chains complexity

Authors:
Khalid Al-Mutawah;Vincent Lee;Yen Cheung
Affiliations:
Clayton School of Information Technology, Monash University, Clayton, Melbourne, Victoria, Australia;Clayton School of Information Technology, Monash University, Clayton, Melbourne, Victoria, Australia;Clayton School of Information Technology, Monash University, Clayton, Melbourne, Victoria, Australia
Venue:
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Year:
2006

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Abstract

Traditional theories and principles on supply chains management (SCM) have implicitly assumed homogenous cultural environment characteristics across the entire supply chain (SC). In practice, however, such an assumption is too restrictive due to the dynamic and non-homogenous nature of organisational cultural attributes. By extending the evolutionary platform of cultural algorithms, we design an innovative multi-objective optimization model to test the null hypothesis – the SC’s performance is independent of its sub-chains cultural attributes. Simulation results suggest that the null hypothesis cannot be statistically accepted.