Work

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

Year: 2025

Type: conference-paper

Abstract: 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.

DOI: 10.3390/engproc2025097037

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

Institutions: Universitas Sumatera Utara, Universitas Prasetiya Mulya, Sumatera Institute of Technology

Language: English

Topic: Vehicle Routing Optimization Methods

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Responsible consumption and production

Open Access status: gold

OpenAlex ID: W4411570672

FWCI:

Cites: 14

Cited by:

Related to: 10