DocumentCode :
677700
Title :
A simulation tool for complex assembly lines with multi-skilled resources
Author :
Angelidis, Evangelos ; Bohn, Daniel ; Rose, Oliver
Author_Institution :
Dept. of Comput. Sci., Univ. of the Bundeswehr Munich, Neubiberg, Germany
fYear :
2013
fDate :
8-11 Dec. 2013
Firstpage :
2577
Lastpage :
2586
Abstract :
The focus areas of our research are simulation and optimization of complex assembly lines for heavy machinery (airplanes, turbines, industrial machines etc.). These production facilities have several specific characteristics: many isolated project networks with precedence constraints and thousands of multi-mode activities, time-bounds for activities and projects, many priority rules, limited numbers of multi-skilled resources with individual shift regimes, internal and subcontracted personnel, and resource locking rules. Formally, it is defined as a Multi-Mode Resource-Constrained Multi-Project Scheduling Problem with activity splitting. A promising way of dealing with problems in this domain is simulation-based optimization. In this paper, we introduce a specific custom-built simulator designed for this problem domain. The tool supports a variety of real-world extensions and dedicated behavior which usually comes at enormous runtime and development cost when it has to be built into a commercial off-the-shelf simulation tool.
Keywords :
assembling; machinery production industries; optimisation; personnel; production facilities; resource allocation; scheduling; assembly lines; heavy machinery production facilities; individual shift regimes; internal personnel; multimode activities; multimode resource constrained multiproject scheduling problem; multiskilled resources; off-the-shelf simulation tool; optimization; resource locking rules; subcontracted personnel; Assembly; Data models; Job shop scheduling; Optimization; Runtime; Simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), 2013 Winter
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4799-2077-8
Type :
conf
DOI :
10.1109/WSC.2013.6721630
Filename :
6721630
Link To Document :
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