Cover Image

Cycle time minimization in production line using robust hybrid optimization algorithm

Bio-inspired algorithms that have been introduced by mimicking the biological phenomenon of nature have widely implemented to cater various real-world problems. As example, memetic algorithm, EGSJAABC3 is applied for economic environmental dispatch (EED) optimization, Hybrid Pareto Grey Wolf Optimiz...

Full description

Saved in:
Bibliographic Details
Main Authors: Noorazliza, Sulaiman, Zetty Ain, Kamaruzzaman, Junita, Mohamad Saleh, Ahmad Afif, Ahmarofi
Format: Conference or Workshop Item
Language:English
Published: 2021
Subjects:
HD28 Management. Industrial Management
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/34849/1/Cycle%20time%20minimization%20in%20production%20line%20using%20robust%20hybrid%20optimization%20algorithm.CITREX2021..pdf
http://umpir.ump.edu.my/id/eprint/34849/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.34849
record_format eprints
spelling my.ump.umpir.348492022-08-11T03:21:57Z http://umpir.ump.edu.my/id/eprint/34849/ Cycle time minimization in production line using robust hybrid optimization algorithm Noorazliza, Sulaiman Zetty Ain, Kamaruzzaman Junita, Mohamad Saleh Ahmad Afif, Ahmarofi HD28 Management. Industrial Management T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Bio-inspired algorithms that have been introduced by mimicking the biological phenomenon of nature have widely implemented to cater various real-world problems. As example, memetic algorithm, EGSJAABC3 is applied for economic environmental dispatch (EED) optimization, Hybrid Pareto Grey Wolf Optimization to minimize emission of noise and carbon in U-shaped robotic assembly line and Polar Bear Optimization to optimize heat production. The results obtained from their research have clearly portrayed the robustness of bio-inspired algorithms to cater complex problems. Assembly line, which is normally the last step of production that involves final assembly of the products. An assembly line generally consists of several workstations placed in sequential order. Each of the workstation is in charge to complete certain specific jobs. Hence, it is a must to make the best use of the efficiency of the assembly line. Cycle time minimization is part of the assembly line balancing problem due to its uncertainty that dependent on the number of manpower, material preparation and machine capacity. Cycle time basically means time needed to process a product using a specific task in a production line. This project proposes the application of new hybrid optimization algorithm named JAABC5-RRO to minimize cycle time to produce a new audio product on a production line in a production company. 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/34849/1/Cycle%20time%20minimization%20in%20production%20line%20using%20robust%20hybrid%20optimization%20algorithm.CITREX2021..pdf Noorazliza, Sulaiman and Zetty Ain, Kamaruzzaman and Junita, Mohamad Saleh and Ahmad Afif, Ahmarofi (2021) Cycle time minimization in production line using robust hybrid optimization algorithm. In: Creation, Innovation, Technology & Research Exposition (CITREX) 2021, 2021 , Virtually hosted by Universiti Malaysia Pahang. p. 1..
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic HD28 Management. Industrial Management
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle HD28 Management. Industrial Management
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Noorazliza, Sulaiman
Zetty Ain, Kamaruzzaman
Junita, Mohamad Saleh
Ahmad Afif, Ahmarofi
Cycle time minimization in production line using robust hybrid optimization algorithm
description Bio-inspired algorithms that have been introduced by mimicking the biological phenomenon of nature have widely implemented to cater various real-world problems. As example, memetic algorithm, EGSJAABC3 is applied for economic environmental dispatch (EED) optimization, Hybrid Pareto Grey Wolf Optimization to minimize emission of noise and carbon in U-shaped robotic assembly line and Polar Bear Optimization to optimize heat production. The results obtained from their research have clearly portrayed the robustness of bio-inspired algorithms to cater complex problems. Assembly line, which is normally the last step of production that involves final assembly of the products. An assembly line generally consists of several workstations placed in sequential order. Each of the workstation is in charge to complete certain specific jobs. Hence, it is a must to make the best use of the efficiency of the assembly line. Cycle time minimization is part of the assembly line balancing problem due to its uncertainty that dependent on the number of manpower, material preparation and machine capacity. Cycle time basically means time needed to process a product using a specific task in a production line. This project proposes the application of new hybrid optimization algorithm named JAABC5-RRO to minimize cycle time to produce a new audio product on a production line in a production company.
format Conference or Workshop Item
author Noorazliza, Sulaiman
Zetty Ain, Kamaruzzaman
Junita, Mohamad Saleh
Ahmad Afif, Ahmarofi
author_facet Noorazliza, Sulaiman
Zetty Ain, Kamaruzzaman
Junita, Mohamad Saleh
Ahmad Afif, Ahmarofi
author_sort Noorazliza, Sulaiman
title Cycle time minimization in production line using robust hybrid optimization algorithm
title_short Cycle time minimization in production line using robust hybrid optimization algorithm
title_full Cycle time minimization in production line using robust hybrid optimization algorithm
title_fullStr Cycle time minimization in production line using robust hybrid optimization algorithm
title_full_unstemmed Cycle time minimization in production line using robust hybrid optimization algorithm
title_sort cycle time minimization in production line using robust hybrid optimization algorithm
publishDate 2021
url http://umpir.ump.edu.my/id/eprint/34849/1/Cycle%20time%20minimization%20in%20production%20line%20using%20robust%20hybrid%20optimization%20algorithm.CITREX2021..pdf
http://umpir.ump.edu.my/id/eprint/34849/
_version_ 1743107223319478272
score 13.211869

Similar Items