Data - Based scheduling production with simulation and optimization methods

Author

Witkowski, Tadeusz

Author_Institution

Fac. of Production Eng., Warsaw Univ. Technol., Warsaw, Poland

fYear

2013

fDate

12-14 Sept. 2013

Firstpage

259

Lastpage

264

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IDAACS.2013.6662685

Filename

6662685