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

Eram Asghar, Aamer Ahmad Baqai, Ramshah Ahmad Toor and Sara Ayub

Review of Computer Engineering Research, 2016, vol. 3, issue 2, 41-46

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.

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) (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
https://archive.conscientiabeam.com/index.php/76/article/view/1445/2016 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pkp:rocere:v:3:y:2016:i:2:p:41-46:id:1445

Access Statistics for this article

More articles in Review of Computer Engineering Research from Conscientia Beam
Bibliographic data for series maintained by Dim Michael ().