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Review of Computer Engineering Research

August 2016, Volume 3, 2, pp 41-46

Co-Development of Process Planning and Structural Configurations Considering Machine’s Accessibility in a Reconfigurable Setup

Eram Asghar

,

Aamer Ahmad Baqai

,

Ramshah Ahmad Toor

,

Sara Ayub

Eram Asghar 1 ,

Aamer Ahmad Baqai 2 Ramshah Ahmad Toor 1 Sara Ayub 2 

  1. Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Pakistan 1

  2. National University of Sciences and Technology, Pakistan 2

Pages: 41-46

DOI: 10.18488/journal.76/2016.3.2/76.2.41.46

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Abstract:

Manufacturing System has been evolved over the years to accommodate major design variations. To respond to these high frequency variations and to stay competitive, there is a need of having such type of manufacturing system that could cope with market trends and design changes efficiently. Product’s design and its manufacturing capabilities are closely related, thus the manufacturing system should be customized to cater all the design changes with suitable manufacturing capabilities. Reconfigurable Manufacturing system has been recommended for the turbulent market conditions because of its flexible and changeable nature. This research work is based on the co-generated model in which optimal machine configurations are generated through the application of optimization technique. Based on these configurations, system is tested for reconfiguration in case of production changeovers. Considering the relevant change drivers the degree of reconfigurability in any case of application can be achieved through proposed algorithm. A case study has been presented to illustrate the application of proposed model based on the technological constraints.

Contribution/ Originality
This study contributes in the existing literature of reconfiguration in a manufacturing system. Considering the parameters mentioned in eq.1 makes this approach generic, reliable and cost effective. Selection of operation and its sequence has given better flexibility and scalability through the application of MOGA.  Actual resources (machining and assembly setups) can be obtained using this approach by measuring extent of reconfiguration for production changeovers.

Keywords:

Reconfigurable manufacturing system (RMS), Multi objective genetic algorithm (MOGA), Alternative process plans (APPs), Flexible manufacturing system (FMS), Reconfigurable process planning (RPP), Genetic algorithms (GA), Dedicated manufacturing system (DMS

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Reference:

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Funding:

This study received no specific financial support.

Competing Interests:

The authors declare that they have no competing interests.

Acknowledgement:

All authors contributed equally to the conception and design of the study.

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