Resolving multi plant supply chain problem: A novel swarm intelligence based approach

Felix T.s. Chan; Vikas Kumar; Nishikant Mishra

doi:10.1109/ICMIT.2008.4654516

Resolving multi plant supply chain problem: A novel swarm intelligence based approach

Felix T.s. Chan
, Vikas Kumar
, Nishikant Mishra

Ysgol Fusnes

Allbwn ymchwil: Cyfraniad at gynhadledd › Arall › adolygiad gan gymheiriaid

2 Dyfyniadau (Scopus)

Crynodeb

The changing business scenarios and escalating complexity in manufacturing industries have shifted the inclination of the researchers towards issues that have great impact on overall performance of the plants. The present research considers a multi-plant supply chain scenario and attempts to resolve the production planning and scheduling problem. The paper proposes a new Cooperative Multiple Particle Swarm Optimization (CMPSO) algorithms to reduce the overall tardiness. The efficacy of the algorithm has been shown by comparing it with other Evolutionary Algorithms.

Iaith wreiddiol	Saesneg
Tudalennau	1066-1071
Nifer y tudalennau	6
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1109/ICMIT.2008.4654516
Statws	Cyhoeddwyd - Medi 2008
Digwyddiad	Technology (ICMIT 2008) - Bangkok, Teyrnas Unedig Prydain Fawr a Gogledd Iwerddon Hyd: 21 Medi 2008 → 24 Medi 2008

Cynhadledd

Cynhadledd	Technology (ICMIT 2008)
Gwlad/Tiriogaeth	Teyrnas Unedig Prydain Fawr a Gogledd Iwerddon
Cyfnod	21 Medi 2008 → 24 Medi 2008

Mynediad at Ddogfen

10.1109/ICMIT.2008.4654516

http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4654516

Cysylltiad parhaol

Dolen barhaus

Ffeiliau eraill a chysylltiadau

http://hdl.handle.net/2160/40948

Dyfynnu hyn

@conference{5a1002e9a2b9428aa7b6d1f150a788e9,

title = "Resolving multi plant supply chain problem: A novel swarm intelligence based approach",

abstract = "The changing business scenarios and escalating complexity in manufacturing industries have shifted the inclination of the researchers towards issues that have great impact on overall performance of the plants. The present research considers a multi-plant supply chain scenario and attempts to resolve the production planning and scheduling problem. The paper proposes a new Cooperative Multiple Particle Swarm Optimization (CMPSO) algorithms to reduce the overall tardiness. The efficacy of the algorithm has been shown by comparing it with other Evolutionary Algorithms. ",

author = "Chan, \{Felix T.s.\} and Vikas Kumar and Nishikant Mishra",

year = "2008",

month = sep,

doi = "10.1109/ICMIT.2008.4654516",

language = "English",

pages = "1066--1071",

note = "Technology (ICMIT 2008) ; Conference date: 21-09-2008 Through 24-09-2008",

}

TY - CONF

T1 - Resolving multi plant supply chain problem: A novel swarm intelligence based approach

AU - Chan, Felix T.s.

AU - Kumar, Vikas

AU - Mishra, Nishikant

PY - 2008/9

Y1 - 2008/9

N2 - The changing business scenarios and escalating complexity in manufacturing industries have shifted the inclination of the researchers towards issues that have great impact on overall performance of the plants. The present research considers a multi-plant supply chain scenario and attempts to resolve the production planning and scheduling problem. The paper proposes a new Cooperative Multiple Particle Swarm Optimization (CMPSO) algorithms to reduce the overall tardiness. The efficacy of the algorithm has been shown by comparing it with other Evolutionary Algorithms.

AB - The changing business scenarios and escalating complexity in manufacturing industries have shifted the inclination of the researchers towards issues that have great impact on overall performance of the plants. The present research considers a multi-plant supply chain scenario and attempts to resolve the production planning and scheduling problem. The paper proposes a new Cooperative Multiple Particle Swarm Optimization (CMPSO) algorithms to reduce the overall tardiness. The efficacy of the algorithm has been shown by comparing it with other Evolutionary Algorithms.

UR - http://hdl.handle.net/2160/40948

U2 - 10.1109/ICMIT.2008.4654516

DO - 10.1109/ICMIT.2008.4654516

M3 - Other

SP - 1066

EP - 1071

T2 - Technology (ICMIT 2008)

Y2 - 21 September 2008 through 24 September 2008

ER -

Resolving multi plant supply chain problem: A novel swarm intelligence based approach

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