Assessment of Alternative Manufacturing Work Cells for SMEs

Ateekh Ur Rehman
Additional contact information
Ateekh Ur Rehman: Associate Professor, King Saud University, College of Engineering, Industrial Engineering Department, Riyadh-11421, Saudi Arabia; arehman@ksu.edu.sa

European Journal of Engineering and Technology Research, 2018, vol. 3, issue 3, 30-35

Abstract: Globally small and medium-sized manufacturing enterprises (SMEs) are confronting serious challenges due to dynamic market demands. In pursuit of such situations they opt to be lean and flexible. Their demand have numerous varieties in product geometry and manufacturing processes. To cater such demand among the several existing strategies, reconfigurable manufacturing work cell (RWC) is the most prudent choice owing to its numerous benefits. This study offer an assessment lens to those who look for reconfiguration of their manufacturing setup. It is prudent to consider various RWC alternatives while wanting to reconfigure existing configuration change from time to time. The paper proposes a grey relational approach coupled with fuzzy analytical hierarchy weight to evaluate alternative RWCs. The simulation platform is adopted to exhibit performance of each RWC. The developed approach is to aid decision makers in identifying the most suitable RWC for the SME.

Keywords: Grey Relational Approach; Manufacturing Work Cell; Performance Evaluation; Reconfiguration; Simulation (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
https://eu-opensci.org/index.php/ejeng/article/view/60651 Abstract page (text/html)
https://eu-opensci.org/index.php/ejeng/article/download/60651/11849 Full text (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:epw:ejeng0:v:3:y:2018:i:3:id:60651

DOI: 10.24018/ejeng.2018.3.3.651

Access Statistics for this article

More articles in European Journal of Engineering and Technology Research from European Open Science
Bibliographic data for series maintained by Support ().