DOAJ Open Access 2025

Optimization of Delivery Allocation for Enhanced Fleet Utilization and Trip Minimization: A Case Study from an Indonesian Manufacturing Company

Meilita Tryana Sembiring Novika Zuya Muhammad Riezky Anindhitya Laksmana M. Zaky Hadi

Abstrak

Logistics efficiency is critical to operational success in manufacturing, especially for corrugated carton manufacturers. The challenges of this type of manufacturing include optimizing truck utilization, without which high costs, resource waste, and customer dissatisfaction can occur. Transportation consolidation can reduce trips, increase vehicle capacity, and lower carbon emissions. This study proposes a delivery optimization model using genetic algorithms within the Multi-Objective Evolutionary Algorithm (MOEA) framework. The results show that the model significantly improves fleet utilization from 75% to 100% and reduces delivery delays by adhering to predefined time windows, thereby improving cost efficiency and customer satisfaction.

Topik & Kata Kunci

Engineering machinery, tools, and implements

Penulis (4)

Meilita Tryana Sembiring

Novika Zuya

Muhammad Riezky Anindhitya Laksmana

M. Zaky Hadi

Format Sitasi

APA MLA BibTeX

Sembiring, M.T., Zuya, N., Laksmana, M.R.A., Hadi, M.Z. (2025). Optimization of Delivery Allocation for Enhanced Fleet Utilization and Trip Minimization: A Case Study from an Indonesian Manufacturing Company. https://doi.org/10.3390/engproc2025097037

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Informasi Jurnal

Tahun Terbit: 2025
Sumber Database: DOAJ
DOI: 10.3390/engproc2025097037
Akses: Open Access ✓