Integration of genetic algorithms and simulation for stockyard layout planning

This paper describes the development of a process simulation model and integration of the genetic algorithms (GA) with the model as optimization techniques using a case study of stockyard layout planning in precast concrete products industry. The simulation model was developed in Arena (simulation software) which evaluates stockyard layout scenarios with different spatial layouts and different allocation of products to storage locations. Genetic algorithms have been used for two purposes: firstly, to identify clusters of concrete products by analyzing sales historical data such that frequently ordered products are grouped together; and secondly, to identify the allocation of the identified clusters to the storage locations. The finding from the experiments conducted using a case study are presented and discussed.