Optimization techniques for green layout design in manufacturing industries : a meta-heuristic analysis

Sherfudeen, Sheik Sulaiman (avtor), Athinamilagi, Muthiah (avtor), Venkataramanujam, Janakiraman (avtor)

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 %.

• Jezik: Angleški jezik
• Ključne besede: adaptive salp swarm optimization, bi-objective function, emission, evolutionary computation, layout design, total handling costs
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FS - Fakulteta za strojništvo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Datum objave: 01.11.2022
• Leto izida: 2022
• Št. strani: Str. 683-692
• Številčenje: Vol. 68, no. 11
• PID: 20.500.12556/RUL-143280
• UDK: 658.5:502.12:658.512.2
• ISSN pri članku: 0039-2480
• DOI: 10.5545/sv-jme.2022.321
• COBISS.SI-ID: 133405955
• Datum objave v RUL: 12.12.2022

Gradivo je del revije

• Naslov: Strojniški vestnik
• Skrajšan naslov: Stroj. vestn.
• Založnik: Zveza strojnih inženirjev in tehnikov Slovenije [etc.], = Association of Mechanical Engineers and Technicians of Slovenia [etc.
• ISSN: 0039-2480
• COBISS.SI-ID: 762116

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Naslov: Optimizacijske tehnike za načrtovanje zelene prostorske razmestitve opreme v proizvodni industriji: metahevristična analiza
• Ključne besede: adaptivna optimizacija kolonije plaščarjev, dvociljna funkcija, emisije, evolucijsko računanje, zasnova prostorske razmestitve, skupni stroški ravnanja