Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
Open Science Slovenia
Open Science
DiKUL
slv
|
eng
Search
Browse
New in RUL
About RUL
In numbers
Help
Sign in
Optimization techniques for green layout design in manufacturing industries : a meta-heuristic analysis
ID
Sherfudeen, Sheik Sulaiman
(
Author
),
ID
Athinamilagi, Muthiah
(
Author
),
ID
Venkataramanujam, Janakiraman
(
Author
)
PDF - Presentation file,
Download
(1,55 MB)
MD5: 531213CC30A46D3C107D6A3DF6228045
URL - Source URL, Visit
https://www.sv-jme.eu/sl/article/optimization-techniques-for-green-layout-design-in-manufacturing-industries-a-meta-heuristic-analysis/
Image galllery
Abstract
Many research papers and much legislation has been published in recent years to control or reduce factory pollution. However, only a few articles have discussed pollution from manufacturing facilities, specifically shop floors, even though this a specific single objective problem. In this research framework, a new variant technique of the jelly fish concept adaptive salp swarm optimization (ASSO) with a familiar Lagrangian relaxation model for lowering Total Material Handling Costs (TMHC) and carbon dioxide (CO2) emissions is presented. Using the Mat Lab software and the improved ASSO, the dragon fly optimization (DFO) algorithm technique, experimental simulations of the existing and recognized design of the studied industry were performed. The simulation results were validated and compared to those of other optimization techniques such as ant bee colony (ABC), simulated annealing (SA), and genetic algorithm (GA). It was determined that the proposed methodology, ASSO, was the most efficient, resulting in 40 % reduction compared to ABC, 38 % DFO, 50 % SA, and 40 % GA in the lowest TMHC, as well as an average 20 % reduction of emission rate in green layout design. These techniques could be combined into a hybrid format for further reduction of the emission rate up to 80 %.
Language:
English
Keywords:
adaptive salp swarm optimization
,
bi-objective function
,
emission
,
evolutionary computation
,
layout design
,
total handling costs
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FS - Faculty of Mechanical Engineering
Publication status:
Published
Publication version:
Version of Record
Publication date:
01.11.2022
Year:
2022
Number of pages:
Str. 683-692
Numbering:
Vol. 68, no. 11
PID:
20.500.12556/RUL-143280
UDC:
658.5:502.12:658.512.2
ISSN on article:
0039-2480
DOI:
10.5545/sv-jme.2022.321
COBISS.SI-ID:
133405955
Publication date in RUL:
12.12.2022
Views:
499
Downloads:
79
Metadata:
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Copy citation
Share:
Record is a part of a journal
Title:
Strojniški vestnik
Shortened title:
Stroj. vestn.
Publisher:
Zveza strojnih inženirjev in tehnikov Slovenije [etc.], = Association of Mechanical Engineers and Technicians of Slovenia [etc.
ISSN:
0039-2480
COBISS.SI-ID:
762116
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Title:
Optimizacijske tehnike za načrtovanje zelene prostorske razmestitve opreme v proizvodni industriji: metahevristična analiza
Keywords:
adaptivna optimizacija kolonije plaščarjev
,
dvociljna funkcija
,
emisije
,
evolucijsko računanje
,
zasnova prostorske razmestitve
,
skupni stroški ravnanja
Similar documents
Similar works from RUL:
Similar works from other Slovenian collections:
Back