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Author

Dede Irman Pirdaus

2 papers indexed here

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Conference Open access Oct 2026

Flow Shop Production Scheduling Optimization Using Genetic Algorithms in the Garment Manufacturing Industry

The garment industry is a labor-intensive, make-to-order sector characterized by complex flow shop production, though many small and medium-sized manufacturers still rely on experience-based rather than optimization-based scheduling. This study applies a Genetic Algorithm (GA) to real production scheduling data from a...

Dede Irman Pirdaus, Rifki Saefullah, Muhammad Rizky Aulia · 0 citations
Open access Aug 2026

Supply Chain Risk Mitigation Through the Integration of Supervised Learning Algorithms and Linear Programming

Late delivery risk remains a critical operational challenge in modern supply chains, contributing to higher costs, degraded service levels, and diminished customer trust. This study proposes a hybrid predictive-prescriptive framework that integrates supervised machine learning with Linear Programming (LP) to support su...

S. H. Yuningsih, Dede Irman Pirdaus, R. Hidayana · 0 citations

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