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  4. Supply chain building blocks - Integration of geographical information in an agent-based model for simulating supply chain designs
 
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Supply chain building blocks - Integration of geographical information in an agent-based model for simulating supply chain designs

Publikationstyp
Conference Paper
Date Issued
2012-01
Sprache
English
Author(s)
Kersten, Wolfgang  orcid-logo
Castellanos, Mayolo Alberto Lopez  
Institut
Logistik und Unternehmensführung W-2  
TORE-URI
http://hdl.handle.net/11420/9134
Start Page
309
End Page
313
Citation
European Simulation and Modelling Conference (ESM 2012)
Contribution to Conference
European Simulation and Modelling Conference (ESM 2012)  
Scopus ID
2-s2.0-84899014140
This paper presents the integration of geographical information into an agent-based simulation model, named Supply Chain Building Blocks (SCBB), for enhancing its performance analysis of supply chain designs. Geographical information improves the modelling accuracy of the supply chain's static and dynamic elements for the spatial and temporal characterization. In the SCBB, static elements are the geographically located supply chain participants (modelled as generic agents) and the routes describing their interconnections. Dynamic supply chain elements are the transportation agents, who emulate the multi-modal material flows. Intances of transportation agent move material based on the lead times resulting from the transportation's mode attributes and the routes' description. Supply chain participants in SCBB incorporate geographical information to evaluate their behavioural policies for emulating business functions and for communicating with other agents. The use of geographical information enhances the SCBB modelling capabilities by supporting the holistic performance analysis of supply chain designs for the strategic decision-making (e.g. capacity allocation and location decisions), business functions configuration (e.g. management strategies for sourcing, inventory, production and distribution) and phenomena understanding (e.g. complexity management, risk management and green logistics).
Subjects
Agent-based modelling
Geographical information
Multi-modal transportation
Supply chain design
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