Multi-agent system-based supply chain coordination

One of the main issues in efficiently integrating a company or industry's supply chain is the difficulty in coordinating all the activities among all the parties involved, mainly because these parties have different and conflicting objectives. It is insufficient to optimize the operations withi...

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Main Authors: Cheong, Lee Fong, Jeong, Woo Sung, Pallav Chhaochharia, Yin, Zhijie
Other Authors: Rohit Bhatnagar
Format: Theses and Dissertations
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/60585
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-60585
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spelling sg-ntu-dr.10356-605852023-05-19T07:16:27Z Multi-agent system-based supply chain coordination Cheong, Lee Fong Jeong, Woo Sung Pallav Chhaochharia Yin, Zhijie Rohit Bhatnagar Nanyang Business School Gintic Institute of Manufacturing Technology Singapore-MIT Alliance Programme DRNTU::Engineering::Manufacturing One of the main issues in efficiently integrating a company or industry's supply chain is the difficulty in coordinating all the activities among all the parties involved, mainly because these parties have different and conflicting objectives. It is insufficient to optimize the operations within a single party involved, while the other parties are not operating at optimal conditions, which result in a poor overall system performance. However, establishing the global optimal solution involves tremendous amount of decision making, and in many cases decisions have to be made based on insufficient and constantly changing information. This causes the decision making process to be iterative and thus time consuming. The main aim of the project is to address the coordination and decision-making issues using the Fourth Party Logistics (4PL)1 model and applying the agent technology to automate such tasks, as well as the process flow in the supply chain. ​Master of Science (IMST) 2014-05-28T09:03:33Z 2014-05-28T09:03:33Z 2002 2002 Thesis http://hdl.handle.net/10356/60585 en 174 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Manufacturing
spellingShingle DRNTU::Engineering::Manufacturing
Cheong, Lee Fong
Jeong, Woo Sung
Pallav Chhaochharia
Yin, Zhijie
Multi-agent system-based supply chain coordination
description One of the main issues in efficiently integrating a company or industry's supply chain is the difficulty in coordinating all the activities among all the parties involved, mainly because these parties have different and conflicting objectives. It is insufficient to optimize the operations within a single party involved, while the other parties are not operating at optimal conditions, which result in a poor overall system performance. However, establishing the global optimal solution involves tremendous amount of decision making, and in many cases decisions have to be made based on insufficient and constantly changing information. This causes the decision making process to be iterative and thus time consuming. The main aim of the project is to address the coordination and decision-making issues using the Fourth Party Logistics (4PL)1 model and applying the agent technology to automate such tasks, as well as the process flow in the supply chain.
author2 Rohit Bhatnagar
author_facet Rohit Bhatnagar
Cheong, Lee Fong
Jeong, Woo Sung
Pallav Chhaochharia
Yin, Zhijie
format Theses and Dissertations
author Cheong, Lee Fong
Jeong, Woo Sung
Pallav Chhaochharia
Yin, Zhijie
author_sort Cheong, Lee Fong
title Multi-agent system-based supply chain coordination
title_short Multi-agent system-based supply chain coordination
title_full Multi-agent system-based supply chain coordination
title_fullStr Multi-agent system-based supply chain coordination
title_full_unstemmed Multi-agent system-based supply chain coordination
title_sort multi-agent system-based supply chain coordination
publishDate 2014
url http://hdl.handle.net/10356/60585
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