Volume 26, Issue 4 (IJIEPR 2015)                   IJIEPR 2015, 26(4): 269-285 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

karbasian M, mohebi B, khayambashi B, chesh berah M, moradi M. Maximum Maintainability of Complex Systems via Modulation Based on DSM and Module Layout.Case Study:Laser Range Finder. IJIEPR 2015; 26 (4) :269-285
URL: http://ijiepr.iust.ac.ir/article-1-658-en.html
1- , mkarbasi@mut-es.ac.it
Abstract:   (6015 Views)

The present paper aims to investigate the effects of modularity and the layout of subsystems and parts of a complex system on its maintainability. For this purpose, four objective functions have been considered simultaneously: I) maximizing the level of accordance between system design and optimum modularity design,II) maximizing the level of accessibility and the maintenance space required,III) maximizing the providing of distance requirement and IV) minimizing the layout space. The first objective function has been put forward for the first time in the present paper and in it, the optimum system modularity design was determined using the Design Structure Matrix (DSM) technique.The second objective function is combined with the concept of Level of Repair Analysis (LoRA) and developed. Simultaneous optimization of the above-mentioned objective functions has not been considered in previous studies. The multi objective problem which has been put forward was applied on a laser range finder containing 17 subsystems and the modularity and optimum layout was determined using a multi objective particle swarm optimization (MOPSO) algorithm.

AWT IMAGE

Full-Text [PDF 672 kb]   (2389 Downloads)    
Type of Study: Research | Subject: Reliability and Maintenance
Received: 2015/08/27 | Accepted: 2015/12/9 | Published: 2016/03/16

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.