Title :
Data - Based scheduling production with simulation and optimization methods
Author :
Witkowski, Tadeusz
Author_Institution :
Fac. of Production Eng., Warsaw Univ. Technol., Warsaw, Poland
Abstract :
This paper shows the application of statistics techniques, simulation and optimization methods for data - based scheduling production. The software of this methods, allows us to analyze the process construction rules for many variants reflecting a variety of combination other factors. For the analysis of the production process the greedy randomized adaptive search procedure (GRASP) and simulation were used. Experiments with different levels of factors have been considered and compared. The GRASP algorithm has been tested and illustrated with results for the serial and parallel route.
Keywords :
data analysis; data mining; greedy algorithms; optimisation; scheduling; search problems; statistical analysis; GRASP algorithm; data mining; data-based scheduling production; greedy randomized adaptive search procedure; optimization methods; parallel route; serial route; statistics techniques; Data models; Dispatching; Job shop scheduling; Object oriented modeling; Schedules; Testing; data mining; optimization methods; scheduling production; simulation;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on
Conference_Location :
Berlin
Print_ISBN :
978-1-4799-1426-5
DOI :
10.1109/IDAACS.2013.6662685
