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Bohács G, Rinkács A (2016). Development of a novel material flow simulation model for the integration of spatial and process relevant information. Logistics Journal : Not Reviewed, Vol. 2016. (urn:nbn:de:0009-14-43422)

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%0 Journal Article
%T Development of a novel material flow simulation model for the integration of spatial and process relevant information
%A Bohács, Gábor
%A Rinkács, Angéla
%J Logistics Journal : Not Reviewed
%D 2016
%V 2016
%N 04
%@ 1860-5923
%F bohács2016
%X Simulation techniques are almost indispensable in the analysis of complex systems. Materials- and related information flow processes in logistics often possess such complexity. Further problem arise as the processes change over time and pose a Big Data problem as well. To cope with these issues adaptive simulations are more and more frequently used. This paper presents a few relevant advanced simulation models and intro-duces a novel model structure, which unifies modelling of geometrical relations and time processes. This way the process structure and their geometric relations can be handled in a well understandable and transparent way. Capabilities and applicability of the model is also presented via a demonstrational example.
%L 620
%K adaptive modelling
%K production logistics
%K simulation
%R 10.2195/lj_NotRev_bohacs_en_201604_01
%U http://nbn-resolving.de/urn:nbn:de:0009-14-43422
%U http://dx.doi.org/10.2195/lj_NotRev_bohacs_en_201604_01
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Bibtex

@Article{bohács2016,
  author = 	"Boh{\'a}cs, G{\'a}bor
		and Rink{\'a}cs, Ang{\'e}la",
  title = 	"Development of a novel material flow simulation model for the integration of spatial and process relevant information",
  journal = 	"Logistics Journal : Not Reviewed",
  year = 	"2016",
  volume = 	"2016",
  number = 	"04",
  keywords = 	"adaptive modelling; production logistics; simulation",
  abstract = 	"Simulation techniques are almost indispensable in the analysis of complex systems. Materials- and related information flow processes in logistics often possess such complexity. Further problem arise as the processes change over time and pose a Big Data problem as well. To cope with these issues adaptive simulations are more and more frequently used. This paper presents a few relevant advanced simulation models and intro-duces a novel model structure, which unifies modelling of geometrical relations and time processes. This way the process structure and their geometric relations can be handled in a well understandable and transparent way. Capabilities and applicability of the model is also presented via a demonstrational example.",
  issn = 	"1860-5923",
  doi = 	"10.2195/lj_NotRev_bohacs_en_201604_01",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-14-43422"
}
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RIS

TY  - JOUR
AU  - Bohács, Gábor
AU  - Rinkács, Angéla
PY  - 2016
DA  - 2016//
TI  - Development of a novel material flow simulation model for the integration of spatial and process relevant information
JO  - Logistics Journal : Not Reviewed
VL  - 2016
IS  - 04
KW  - adaptive modelling
KW  - production logistics
KW  - simulation
AB  - Simulation techniques are almost indispensable in the analysis of complex systems. Materials- and related information flow processes in logistics often possess such complexity. Further problem arise as the processes change over time and pose a Big Data problem as well. To cope with these issues adaptive simulations are more and more frequently used. This paper presents a few relevant advanced simulation models and intro-duces a novel model structure, which unifies modelling of geometrical relations and time processes. This way the process structure and their geometric relations can be handled in a well understandable and transparent way. Capabilities and applicability of the model is also presented via a demonstrational example.
SN  - 1860-5923
UR  - http://nbn-resolving.de/urn:nbn:de:0009-14-43422
DO  - 10.2195/lj_NotRev_bohacs_en_201604_01
ID  - bohács2016
ER  -
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Wordbib

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ISI

PT Journal
AU Bohács, G
   Rinkács, A
TI Development of a novel material flow simulation model for the integration of spatial and process relevant information
SO Logistics Journal : Not Reviewed
PY 2016
VL 2016
IS 04
DI 10.2195/lj_NotRev_bohacs_en_201604_01
DE adaptive modelling; production logistics; simulation
AB Simulation techniques are almost indispensable in the analysis of complex systems. Materials- and related information flow processes in logistics often possess such complexity. Further problem arise as the processes change over time and pose a Big Data problem as well. To cope with these issues adaptive simulations are more and more frequently used. This paper presents a few relevant advanced simulation models and intro-duces a novel model structure, which unifies modelling of geometrical relations and time processes. This way the process structure and their geometric relations can be handled in a well understandable and transparent way. Capabilities and applicability of the model is also presented via a demonstrational example.
ER
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Mods

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Full Metadata

Bibliographic Citation Logistics Journal : referierte Veröffentlichungen, Vol. 2016, Iss. 04
Title

Development of a novel material flow simulation model for the integration of spatial and process relevant information (eng)
Author Gábor Bohács, Angéla Rinkács
Language eng
Abstract Simulation techniques are almost indispensable in the analysis of complex systems. Materials- and related information flow processes in logistics often possess such complexity. Further problem arise as the processes change over time and pose a Big Data problem as well. To cope with these issues adaptive simulations are more and more frequently used. This paper presents a few relevant advanced simulation models and intro-duces a novel model structure, which unifies modelling of geometrical relations and time processes. This way the process structure and their geometric relations can be handled in a well understandable and transparent way. Capabilities and applicability of the model is also presented via a demonstrational example.
Subject adaptive modelling, production logistics, simulation
DDC 620
Rights DPPL
URN: urn:nbn:de:0009-14-43422
DOI https://doi.org/10.2195/lj_NotRev_bohacs_en_201604_01