Volume 25, Issue 2 (IJIEPM 2014)                   2014, 25(2): 167-184 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Amiri M, Mohtashami A. Production rate optimization through optimal buffer sizing, using incorporated approach of Response Surface methodology and genetic algorithm. Journal title 2014; 25 (2) :167-184
URL: http://ijiepm.iust.ac.ir/article-1-522-en.html
Production rate optimization through optimal buffer sizing, using incorporated approach of Response Surface methodology and genetic algorithm
Maghsoud Amiri * , Ali Mohtashami
Allameh Tabatabaei , mg_amiri@ie.sharif.edu
Abstract:   (7483 Views)
This paper presents a methodology to optimize production rate and focuses on an optimal buffer storage sizing for this purpose. Buffer storages are intermediate semi complete components which their capacity is an important factor in design of production lines and impact on the production line. This methodology with eliminating of some simpler assumptions, assumes that the arrival rate of parts to production (or assembly) line, service times of the stations, time between failures of machines and repair time of failed machines are non deterministic and generally distributed (not just exponential). To optimize the buffer capacities, we consider production line as a queuing network and we use response surface methodology, simulation, genetic algorithm and multi objective decision making
Keywords: Buffer storage, Queuing network, Genetic algorithm, Response surface methodology, Simulation, Multi objective decision making
Full-Text [PDF 4286 kb]   (3578 Downloads)    
Type of Study: Research | Subject: Manufacturing Process and Systems
Received: 2011/03/4 | Accepted: 2014/09/9 | Published: 2014/09/9
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.