Flow Shop Scheduling Using a Combination of Ant Colony Optimization Algorithm and Tabu Search Algorithm to Minimize Total Tardiness

This paper addresses the problem of production tardiness on five parallel production floors at PT Garmen X, each with an identical machine arrangement. The proposed method combines Ant Colony Optimization (ACO) and Tabu Search (TS) algorithms for flow shop scheduling problems. ACO acts as the primary method for finding the optimal solution. At the same time, the Tabu Search algorithm is applied as a local search to improve the quality of the solution found by ACO. The results show significant performance improvement, with a decrease in total tardiness by 88.09% and a reduction in total makespan by 5.08% compared to the existing method. Keywords: Garment, Flow shop, Ant Colony Optimization, Tabu Search, Total Tardiness

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Publication Details

Journal
Jurnal Teknik Industri Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri
Published
2024-09-19
DOI
https://doi.org/10.24014/jti.v10i2.32320
Citations
1
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.35
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article

Flow Shop Scheduling Using a Combination of Ant Colony Optimization Algorithm and Tabu Search Algorithm to Minimize Total Tardiness

Nopendri Nopendri, Pratya Poeri Suryadhini, Hana Merlina Hesti Bestari
1 citations
Jurnal Teknik Industri Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri
Scheduling and Optimization Algorithms
0.35
article

Flow Shop Scheduling Using a Combination of Ant Colony Optimization Algorithm and Tabu Search Algorithm to Minimize Total Tardiness

Nopendri Nopendri, Pratya Poeri Suryadhini, Hana Merlina Hesti Bestari
article en
1 citations

Abstract

This paper addresses the problem of production tardiness on five parallel production floors at PT Garmen X, each with an identical machine arrangement. The proposed method combines Ant Colony Optimization (ACO) and Tabu Search (TS) algorithms for flow shop scheduling problems. ACO acts as the primary method for finding the optimal solution. At the same time, the Tabu Search algorithm is applied as a local search to improve the quality of the solution found by ACO. The results show significant performance improvement, with a decrease in total tardiness by 88.09% and a reduction in total makespan by 5.08% compared to the existing method. Keywords: Garment, Flow shop, Ant Colony Optimization, Tabu Search, Total Tardiness

Jurnal Teknik Industri Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik IndustriVol. 10(2)
Telkom University (ID)
Industry, innovation and infrastructure
Openalex Percentile: Top 33%
Scheduling and Optimization Algorithms
0.35
DOIOpen Access PDFOpenAlex
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Flow Shop Scheduling Using a Combination of Ant Colony Optimization Algorithm and Tabu Search Algorithm to Minimize Total Tardiness — Nopendri Nopendri, Pratya Poeri Suryadhini, et al. · Jurnal Teknik Industri Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri (2024) | TGRS Research Map | TGRS