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Мoch Sаiful Umam
Diponegoro University
Computer Science & IT

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The hybrid metaheuristic scheduling model for garment manufacturing on-demand Мoch Sаiful Umam
Science in Information Technology Letters Vol 2, No 2: November 2021
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/sitech.v2i2.504

Abstract

The latest technology milestone drives the fashion industry to implement on-demand production services. This study introduces a decision-making scheme in the manufacturing on-demand production scheduling of the garment industry using a hybrid metaheuristic model to meet consumer demand in the digital economy as quickly as possible. Then we conduct computational experiments based on the real-world case study and compare the hybrid metaheuristic method with existing approaches. The experimental results demonstrate that the hybrid metaheuristic approach can yield very efficient solutions to the scheduling problem; it can save production completion time by 22.6%; it shows promising performance compared to the existing methods.
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