Optimal Framework for reconfiguration of manufacturing setups using Non Dominating Sorting Genetic Algorithms

AAMER, AHMAD BAQAI and ERAM, ASGHAR and NAZISH, LIAQAT and RAMSHAH, AHMAD (2017) Optimal Framework for reconfiguration of manufacturing setups using Non Dominating Sorting Genetic Algorithms. In: Sixth International Conference on Advances in Civil, Structural and Mechanical Engineering - ACSM 2017, 25-26 February 2017, Bangkok, Thailand.

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Abstract

The concept of reconfigurable manufacturing system has emerged drastically as it reduces the product lead time and meets with the market demand efficiently. The performance of a manufacturing system lies on a set of planning and scheduling data incorporated with the machining capabilities keeping in view the market demands. The proposed work focuses on the formulation of an optimal framework for production over part families. Machine’s kinematic configurations are generated considering tool’s degree of freedom. The application of non-dominating sorting genetic algorithms over machine configurations makes this approach more reliable. A case study has been presented to illustrate the application of proposed model based on the technological constraints.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Reconfigurable manufacturing system (RMS)), Multi objective Genetic Algorithm (MOGA), Non dominating Sorting Genetic Algorithms (NSGA), Couvercle De Vileberequin (CDV), Corps de Pompe a Huile moteur(CPHC).
Depositing User: Mr. John Steve
Date Deposited: 16 Mar 2019 11:58
Last Modified: 16 Mar 2019 11:58
URI: http://publications.theired.org/id/eprint/530

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