Analysis of learning pallets in flexible scheduling by closed queue network

Author

Mehrsai, Afshin ; Scholz-Reiter, Bernd ; Wenning, Bernd-Ludwig

Author_Institution

Bremen Inst. of Ind. Technol. & Appl. Work Sci. (BIBA), Dept. of Planning & Control of Production Syst., Bremen Univ., Bremen, Germany

fYear

2011

fDate

25-27 May 2011

Firstpage

1

Lastpage

8

Abstract

Within the paper, application of learning pallets in an assembly system for real-time scheduling problems is presented. A specific fuzzy inference system (controller) is adopted to enable the pallets to learn from their experiences regarding some key metrics. In order to analyze the performance of this system and the learning pallets with a robust mathematical analysis, the similarity of this assembly network to the BCMP networks in closed queuing theory, is underlined. The results prove this resemblance and show the suitability of its algorithm for analyzing such closed networks.

Keywords

fuzzy reasoning; learning (artificial intelligence); mathematical analysis; palletising; queueing theory; scheduling; BCMP networks; assembly system; closed queue network; flexible scheduling; fuzzy inference system; learning pallets; mathematical analysis; real-time scheduling problems; Assembly; Dynamic scheduling; Job shop scheduling; Queueing analysis; Real time systems; Servers; Closed Queuing Network; Learning Pallets; Scheduling; Sensitivity Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Assembly and Manufacturing (ISAM), 2011 IEEE International Symposium on

Conference_Location

Tampere

ISSN

Pending

Print_ISBN

978-1-61284-342-1

Electronic_ISBN

Pending

Type

conf

DOI

10.1109/ISAM.2011.5942357

Filename

5942357