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research article

Optimal process plan selection in networked based manufacturing using game-theoretic approach

Manupati, V. K.
•
Deo, Sujay
•
Cheikhrouhou, N.
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2012
International Journal of Production Research

This paper proposes a scheme for generating optimal process plans for multi jobs in a networked based manufacturing system. Networked manufacturing offers several advantages in the current competitive atmosphere such as reducing short manufacturing cycle time and maintaining the production flexibility, thereby achieving several feasible process plans. An N-person non-co-operative game with complete information is proposed and a mathematical model has been developed to generate the payoff functions. To be part of a game, we divided the game into two sub-games such as games to address sub-game (GASG) and games to solve sub-game (GSSG) which try to interact with each other and achieve the Nash equilibrium (NE). Consequently, a hybrid dynamic-DNA (HD-DNA) based evolutionary algorithm approach has been developed for more effective solutions of the game and also for finding the perfect NE points. The objective of this game is to generate the optimal process plans to minimise the makespan. Finally, three cases having different job complexities are presented to demonstrate the feasibility of the approach. The proposed algorithm is validated and results are analysed to benefit the manufacturer.

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Type
research article
DOI
10.1080/00207543.2012.682181
Author(s)
Manupati, V. K.
Deo, Sujay
Cheikhrouhou, N.
Tiwari, M. K.
Date Issued

2012

Published in
International Journal of Production Research
Volume

50

Issue

18

Start page

5239

End page

5258

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LGPP  
Available on Infoscience
November 1, 2012
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/86470
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