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Optimalisasi Rute Distribusi Songkok Untuk Meminimalkan Biaya Transportasi Pada CV. ABC Bagus Wahyudi; Hilyatun Nuha
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 2 (2026): April
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i2.58562

Abstract

CV. ABC is a manufacturing industry producing songkok that serves nine regular customers across East Java and Madura. Currently, the company faces transportation cost inefficiencies due to the implementation of a rigid zone-based distribution system. This condition leads to suboptimal fleet capacity utilization and inflated travel distances, resulting in total transportation costs of Rp3,486,700 per delivery period. This study aims to determine a more optimal distribution route to minimize travel distance and identify concrete cost savings comparisons.  The method employed in this research is the Vehicle Routing Problem (VRP) using a Mixed Integer Linear Programming (MILP) mathematical model approach. The data processing and search for the optimal route were executed using Python software via the Google Colab platform. The research results indicate that the proposed route successfully reduced the total distribution distance from 2,026 km to 1,234 km, equivalent to a distance saving of 39%. Furthermore, significant financial efficiency was achieved, where total monthly operational expenditures decreased from Rp45,574,150 to Rp32,234,850.
Penerapan Metode Run Out Time (ROT) untuk Perencanaan dan Penjadwalan Produksi Paving Block di CV. XYZ Rangga Agriyan Purnama Setya; Hilyatun Nuha
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 3 (2026): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i3.60439

Abstract

CV. XYZ is a K300 paving block manufacturer in Sidoarjo that produces five types of products (rectangular, square, hexagonal, three-dimensional, and bishop-shaped) using a make-to-stock system. Differences in demand levels across products lead to inventory imbalances, resulting in some products being at risk of stockouts while others accumulate in excess. This study applies the Run Out Time (ROT) method to determine production priorities and develop a daily production schedule, using actual demand data from May 2024 to April 2026. The results show that ROT produces a dynamic priority sequence, with the most consistent order being: 3-Dimensional/Hexagonal, Square, Rectangular, and Bishop. This method effectively prevents stockouts for all products throughout the 12 planning periods (May 2026–April 2027).
Penentuan Rute Distribusi Produk Tekstil dengan Pendekatan Capacitated Vehicle Routing Problem With Time Windows (CVRPTW) Fadlyansyah Achmad Lutfizein; Hilyatun Nuha
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 3 (2026): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i3.60689

Abstract

This study was conducted to address the issue of textile product distribution at PT XYZ, which lacks optimal delivery routes, resulting in high mileage and long distribution times. The objective of this study is to determine the optimal distribution routes using the Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) method. The study was conducted using customer demand data, vehicle capacity, distance matrix, travel time matrix, service time, and customer service time limits. A mathematical model was developed using the Mixed Integer Linear Programming (MILP) approach and simulated using Google Colab with the assistance of the Python programming language and the PuLP Solver software. The results show that the CVRPTW method is capable of generating a more optimal distribution route compared to the company’s existing route, with a reduction in total travel distance from 5,466 km to 3,155 km and a reduction in total distribution time from 4,755 minutes to 3,093 minutes. The results indicate that the application of CVRPTW can improve distribution efficiency by reducing travel distance and distribution time.