DocumentCode :
1781726
Title :
Predictive simulation based decision support system for resource failure management in multi-site production environments
Author :
Becker, Matthias ; Balci, Sinan ; Szczerbicka, Helena
Author_Institution :
FG Simulation, Gottfried Wilhelm Leibniz Univ. Hannover, Hannover, Germany
fYear :
2014
fDate :
3-5 Nov. 2014
Firstpage :
526
Lastpage :
530
Abstract :
Planning in a multi-site, non-mass production environment is a special challenge because of several sources of uncertainty. Unlike in mass production facilities, in our setting the current state at all sites cannot be determined easily and exactly due to the spatial distribution of sites and the low degree of automation. For re-planning in case of failures, the possible alternative actions have to be formalized on the decision making facility, where the possible alternatives will then be determined and evaluated. In this work, we will present the necessary components for an automated evaluation of alternatives and decision support procedure. The main challenges are the formalization of product plans including alternative steps and the non-automated collection or assessment of the distributed system state of all sites.
Keywords :
decision making; decision support systems; failure analysis; mass production; production engineering computing; production planning; automated evaluation; decision making facility; decision support procedure; distributed system state; mass production facility; multisite planning; multisite production environments; necessary component; nonautomated collection; nonmass production environment; predictive simulation based decision support system; product plans; replanning; resource failure management; spatial distribution; Companies; Decision support systems; Maintenance engineering; Planning; Predictive models; Production; Stochastic processes; decision support; multi-site construction; predictive simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Decision and Information Technologies (CoDIT), 2014 International Conference on
Conference_Location :
Metz
Type :
conf
DOI :
10.1109/CoDIT.2014.6996949
Filename :
6996949
Link To Document :
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