Agent-based modeling and simulation for business systems ; Agent-based simulation and validation for oil refinery supply chain (II)

Traditional models of supply chain such as equation-based modeling are inadequate and applicable only to certain functions of the supply chain. As supply chains become more complex, the agent-based modeling paradigm appears to be more able to model supply chains. An agent-based simulation model of a...

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Bibliographic Details
Main Author: Chia, Louis
Other Authors: Zhang Jie
Format: Final Year Project (FYP)
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/63055
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author Chia, Louis
author2 Zhang Jie
author_facet Zhang Jie
Chia, Louis
author_sort Chia, Louis
collection NTU
description Traditional models of supply chain such as equation-based modeling are inadequate and applicable only to certain functions of the supply chain. As supply chains become more complex, the agent-based modeling paradigm appears to be more able to model supply chains. An agent-based simulation model of an oil refinery supply chain is built by LesCas and then evaluated by benchmarking. This paper documents the design and modeling of building an agent-based model as well as the benchmarking results. The results showed that the model developed was valid to some extent as it was able to reproduce similar results comparable with the results from the Repast Model. Based on the results and findings from the model developed, a set of recommendations was made to enhance the LesCas software. The project team also proposed a comparability criterion to allow for more flexible benchmarking.
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spelling ntu-10356/630552023-03-03T20:27:31Z Agent-based modeling and simulation for business systems ; Agent-based simulation and validation for oil refinery supply chain (II) Chia, Louis Zhang Jie School of Computer Engineering A*STAR SIMTech DRNTU::Engineering::Computer science and engineering::Information systems::Models and principles Traditional models of supply chain such as equation-based modeling are inadequate and applicable only to certain functions of the supply chain. As supply chains become more complex, the agent-based modeling paradigm appears to be more able to model supply chains. An agent-based simulation model of an oil refinery supply chain is built by LesCas and then evaluated by benchmarking. This paper documents the design and modeling of building an agent-based model as well as the benchmarking results. The results showed that the model developed was valid to some extent as it was able to reproduce similar results comparable with the results from the Repast Model. Based on the results and findings from the model developed, a set of recommendations was made to enhance the LesCas software. The project team also proposed a comparability criterion to allow for more flexible benchmarking. Bachelor of Engineering (Computer Science) 2015-05-05T07:47:41Z 2015-05-05T07:47:41Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/63055 en Nanyang Technological University 39 p. application/pdf
spellingShingle DRNTU::Engineering::Computer science and engineering::Information systems::Models and principles
Chia, Louis
Agent-based modeling and simulation for business systems ; Agent-based simulation and validation for oil refinery supply chain (II)
title Agent-based modeling and simulation for business systems ; Agent-based simulation and validation for oil refinery supply chain (II)
title_full Agent-based modeling and simulation for business systems ; Agent-based simulation and validation for oil refinery supply chain (II)
title_fullStr Agent-based modeling and simulation for business systems ; Agent-based simulation and validation for oil refinery supply chain (II)
title_full_unstemmed Agent-based modeling and simulation for business systems ; Agent-based simulation and validation for oil refinery supply chain (II)
title_short Agent-based modeling and simulation for business systems ; Agent-based simulation and validation for oil refinery supply chain (II)
title_sort agent based modeling and simulation for business systems agent based simulation and validation for oil refinery supply chain ii
topic DRNTU::Engineering::Computer science and engineering::Information systems::Models and principles
url http://hdl.handle.net/10356/63055
work_keys_str_mv AT chialouis agentbasedmodelingandsimulationforbusinesssystemsagentbasedsimulationandvalidationforoilrefinerysupplychainii