Particle Swarm Optimisation for Fixed-Charge Transportation Problem in a Multistage Supply Chain Network

Manimaran, P; Selladurai, V; Yeh, W; Sivakumar, M

Particle Swarm Optimisation for Fixed-Charge Transportation Problem in a Multistage Supply Chain Network

Manimaran, P Selladurai, V Yeh, W Sivakumar, M

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Publisher:: Inderscience Publishers
Publication Type:: Journal Article
Citation:: International Journal of Logistics Systems and Management, 2011, 9 (3), pp. 328 - 350
Issue Date:: 2011-01

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Field	Value	Language
dc.contributor.author	Manimaran, P	en_US
dc.contributor.author	Selladurai, V	en_US
dc.contributor.author	Yeh, W	en_US
dc.contributor.author	Sivakumar, M	en_US
dc.date.issued	2011-01	en_US
dc.identifier.citation	International Journal of Logistics Systems and Management, 2011, 9 (3), pp. 328 - 350	en_US
dc.identifier.issn	1742-7967	en_US
dc.identifier.uri	http://hdl.handle.net/10453/18900
dc.description.abstract	This work develops a mathematical model for a Multistage Supply Chain Network (MSCN) with a fixed charge for each route and proposes novel solution procedure based on Particle Swarm Optimisation (PSO). The MSCN problem involves selection of facilities to open, and the distribution network design must satisfy demand at minimum cost. The problem becomes Nondeterministic Polynomial-time (NP) hard while considering fixed charges. The novel idea in this work is the adoption of fixed charges for each production flow between stages. Numerical results are presented and compared with approximate and lower bound values to demonstrate the effectiveness of the proposed approach.	en_US
dc.publisher	Inderscience Publishers	en_US
dc.relation.ispartof	International Journal of Logistics Systems and Management	en_US
dc.relation.isbasedon	10.1504/IJLSM.2011.041692	en_US
dc.subject.classification	Business & Management	en_US
dc.title	Particle Swarm Optimisation for Fixed-Charge Transportation Problem in a Multistage Supply Chain Network	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	9	en_US
utslib.for	1503 Business and Management	en_US
dc.location.activity	San Diego, CA
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.issue	3	en_US
pubs.volume	9	en_US

Abstract:

This work develops a mathematical model for a Multistage Supply Chain Network (MSCN) with a fixed charge for each route and proposes novel solution procedure based on Particle Swarm Optimisation (PSO). The MSCN problem involves selection of facilities to open, and the distribution network design must satisfy demand at minimum cost. The problem becomes Nondeterministic Polynomial-time (NP) hard while considering fixed charges. The novel idea in this work is the adoption of fixed charges for each production flow between stages. Numerical results are presented and compared with approximate and lower bound values to demonstrate the effectiveness of the proposed approach.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/18900