Modeling the evolution of a primitive supply chain.

Recent works by Li et al. (2010), Holweg and Pil (2007) have recognized Supply Networks (SNs) as Complex Adaptive Systems (CAS). In this project, we study the evolution of a primitive supply chain using agent based computer simulations with CAS characteristics. By allowing the system to evolve in a...

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Bibliographic Details
Main Author: Tay, Darrell Jiajie.
Other Authors: Cheong Siew Ann
Format: Final Year Project (FYP)
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10356/50905
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author Tay, Darrell Jiajie.
author2 Cheong Siew Ann
author_facet Cheong Siew Ann
Tay, Darrell Jiajie.
author_sort Tay, Darrell Jiajie.
collection NTU
description Recent works by Li et al. (2010), Holweg and Pil (2007) have recognized Supply Networks (SNs) as Complex Adaptive Systems (CAS). In this project, we study the evolution of a primitive supply chain using agent based computer simulations with CAS characteristics. By allowing the system to evolve in a way postulated by the Reformulated 2nd Law of Thermodynamics (Schneider and Kay, 1994), we inspected the end state energy of the primitive supply chain for different types of evolution. We find that contrary to mature supply chains, primitive supply chains is less affected by information sharing due to a high level of symmetric information shared. However, primitive SNs can still enhance their end state total energy significantly through self-organization and through increasing the levels of structure and hierarchy.
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spelling ntu-10356/509052023-02-28T23:18:54Z Modeling the evolution of a primitive supply chain. Tay, Darrell Jiajie. Cheong Siew Ann School of Physical and Mathematical Sciences DRNTU::Science::Physics::Heat and thermodynamics Recent works by Li et al. (2010), Holweg and Pil (2007) have recognized Supply Networks (SNs) as Complex Adaptive Systems (CAS). In this project, we study the evolution of a primitive supply chain using agent based computer simulations with CAS characteristics. By allowing the system to evolve in a way postulated by the Reformulated 2nd Law of Thermodynamics (Schneider and Kay, 1994), we inspected the end state energy of the primitive supply chain for different types of evolution. We find that contrary to mature supply chains, primitive supply chains is less affected by information sharing due to a high level of symmetric information shared. However, primitive SNs can still enhance their end state total energy significantly through self-organization and through increasing the levels of structure and hierarchy. Bachelor of Science in Physics 2012-12-17T06:19:45Z 2012-12-17T06:19:45Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/50905 en 76 p. application/pdf
spellingShingle DRNTU::Science::Physics::Heat and thermodynamics
Tay, Darrell Jiajie.
Modeling the evolution of a primitive supply chain.
title Modeling the evolution of a primitive supply chain.
title_full Modeling the evolution of a primitive supply chain.
title_fullStr Modeling the evolution of a primitive supply chain.
title_full_unstemmed Modeling the evolution of a primitive supply chain.
title_short Modeling the evolution of a primitive supply chain.
title_sort modeling the evolution of a primitive supply chain
topic DRNTU::Science::Physics::Heat and thermodynamics
url http://hdl.handle.net/10356/50905
work_keys_str_mv AT taydarrelljiajie modelingtheevolutionofaprimitivesupplychain