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Cost-based hybrid flow shop scheduling with uniform machine optimization using an improved tiki-taka algorithm

Cost is the foremost factor in decision-making for profit-driven organizations. However, hybrid flow shop scheduling (HFSS) research rarely prioritizes cost as its optimization objective. Existing studies primarily focus on electricity costs linked to machine utilization. This paper introduces a com...

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Main Authors: Mohd Fadzil Faisae, Ab Rashid, Muhammad Ammar, Nik Mu’tasim
Format: Article
Language:English
English
Published: Taylor and Francis Ltd. 2024
Subjects:
QA Mathematics
TJ Mechanical engineering and machinery
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/41081/1/2023%20Cost-based%20HFSS%20using%20Improved%20TTA.pdf
http://umpir.ump.edu.my/id/eprint/41081/7/Cost-based%20hybrid%20flow%20shop%20scheduling%20with%20uniform%20machine%20optimization.pdf
http://umpir.ump.edu.my/id/eprint/41081/
https://doi.org/10.1080/21681015.2023.2276108
https://doi.org/10.1080/21681015.2023.2276108
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spelling my.ump.umpir.410812024-04-30T04:31:12Z http://umpir.ump.edu.my/id/eprint/41081/ Cost-based hybrid flow shop scheduling with uniform machine optimization using an improved tiki-taka algorithm Mohd Fadzil Faisae, Ab Rashid Muhammad Ammar, Nik Mu’tasim QA Mathematics TJ Mechanical engineering and machinery TS Manufactures Cost is the foremost factor in decision-making for profit-driven organizations. However, hybrid flow shop scheduling (HFSS) research rarely prioritizes cost as its optimization objective. Existing studies primarily focus on electricity costs linked to machine utilization. This paper introduces a comprehensive cost-based HFSS model, encompassing electricity, labor, maintenance, and penalty costs. Next, the Tiki-Taka Algorithm (TTA) is improved by increasing the exploration capability to optimize the problem. The cost-based HFSS model and TTA algorithm have been tested using benchmark and case study problems. The results indicated that the TTA consistently outperforms other algorithms. It delivers the best mean fitness and better solution distribution. In industrial contexts, the TTA able to reduces costs by 2.8% to 12.0% compared to other approaches. This holistic cost-based HFSS model empowers production planners to make more informed decisions. Furthermore, the improved TTA shows promise for broader applicability in various combinatorial optimization domains. Taylor and Francis Ltd. 2024 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/41081/1/2023%20Cost-based%20HFSS%20using%20Improved%20TTA.pdf pdf en http://umpir.ump.edu.my/id/eprint/41081/7/Cost-based%20hybrid%20flow%20shop%20scheduling%20with%20uniform%20machine%20optimization.pdf Mohd Fadzil Faisae, Ab Rashid and Muhammad Ammar, Nik Mu’tasim (2024) Cost-based hybrid flow shop scheduling with uniform machine optimization using an improved tiki-taka algorithm. Journal of Industrial and Production Engineering, 41 (2). 182 -199. ISSN 2168-1015. (Published) https://doi.org/10.1080/21681015.2023.2276108 https://doi.org/10.1080/21681015.2023.2276108
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic QA Mathematics
TJ Mechanical engineering and machinery
TS Manufactures
spellingShingle QA Mathematics
TJ Mechanical engineering and machinery
TS Manufactures
Mohd Fadzil Faisae, Ab Rashid
Muhammad Ammar, Nik Mu’tasim
Cost-based hybrid flow shop scheduling with uniform machine optimization using an improved tiki-taka algorithm
description Cost is the foremost factor in decision-making for profit-driven organizations. However, hybrid flow shop scheduling (HFSS) research rarely prioritizes cost as its optimization objective. Existing studies primarily focus on electricity costs linked to machine utilization. This paper introduces a comprehensive cost-based HFSS model, encompassing electricity, labor, maintenance, and penalty costs. Next, the Tiki-Taka Algorithm (TTA) is improved by increasing the exploration capability to optimize the problem. The cost-based HFSS model and TTA algorithm have been tested using benchmark and case study problems. The results indicated that the TTA consistently outperforms other algorithms. It delivers the best mean fitness and better solution distribution. In industrial contexts, the TTA able to reduces costs by 2.8% to 12.0% compared to other approaches. This holistic cost-based HFSS model empowers production planners to make more informed decisions. Furthermore, the improved TTA shows promise for broader applicability in various combinatorial optimization domains.
format Article
author Mohd Fadzil Faisae, Ab Rashid
Muhammad Ammar, Nik Mu’tasim
author_facet Mohd Fadzil Faisae, Ab Rashid
Muhammad Ammar, Nik Mu’tasim
author_sort Mohd Fadzil Faisae, Ab Rashid
title Cost-based hybrid flow shop scheduling with uniform machine optimization using an improved tiki-taka algorithm
title_short Cost-based hybrid flow shop scheduling with uniform machine optimization using an improved tiki-taka algorithm
title_full Cost-based hybrid flow shop scheduling with uniform machine optimization using an improved tiki-taka algorithm
title_fullStr Cost-based hybrid flow shop scheduling with uniform machine optimization using an improved tiki-taka algorithm
title_full_unstemmed Cost-based hybrid flow shop scheduling with uniform machine optimization using an improved tiki-taka algorithm
title_sort cost-based hybrid flow shop scheduling with uniform machine optimization using an improved tiki-taka algorithm
publisher Taylor and Francis Ltd.
publishDate 2024
url http://umpir.ump.edu.my/id/eprint/41081/1/2023%20Cost-based%20HFSS%20using%20Improved%20TTA.pdf
http://umpir.ump.edu.my/id/eprint/41081/7/Cost-based%20hybrid%20flow%20shop%20scheduling%20with%20uniform%20machine%20optimization.pdf
http://umpir.ump.edu.my/id/eprint/41081/
https://doi.org/10.1080/21681015.2023.2276108
https://doi.org/10.1080/21681015.2023.2276108
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score 13.235362

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