Buchumschlag

Data-Driven Modeling and Simulation in Forestry and Agricultural Product Transportation Management by Small Businesses: A Case Study

Gespeichert in:
Veröffentlicht in:Data vol. 10, no. 7 (2025), p. 98-118
1. Verfasser: Merkurjeva Galina
Weitere Verfasser: Vitalijs, Bolsakovs, Jurijs, Merkurjevs, Romanovs Andrejs, Faes Wouter
Veröffentlicht:
MDPI AG
Schlagworte:
Collaboration
Forestry
Simulation models
Optimization
Skilled workers
Data processing
Computer simulation
Environmental impact
Energy consumption
Efficiency
Small business
Agriculture
Big Data
Machine learning
Seasonal variations
Cooperation
Random variables
Planning
Neural networks
Farms
Transportation management
System dynamics
Supply chains
Data collection
Linear programming
Transportation services
Algorithms
Logistics
Digital technology
Logistics management
Online-Zugang:Citation/Abstract
Full Text + Graphics
Full Text - PDF
Tags: Tag hinzufügen
Keine Tags, Fügen Sie das erste Tag hinzu!
Abstract:This article proposes an innovative methodology for data-driven modeling and simulation of transportation management through cross-sectoral collaboration in small businesses. The present research is multidisciplinary and interdisciplinary in nature. We investigate the improvements in logistics management that can be achieved through cross-sector collaboration in agriculture and forestry. A data-driven method, such as symbolic regression, is used to identify the relationships between factors in a modeled system using mathematical expressions. These expressions are directly integrated into the simulation models. Simulation spreads the modeling of transportation processes over a period of time. The system dynamics model is designed to analyze and assess the performance of a system based on its past behavior and is, therefore, deterministic. The discrete-event model enables the simulation of future scenarios and outcomes over time, given random input variables. As new data become available, relationships within the symbolic regression method are discovered more accurately, and simulations are updated accordingly. The tools offered for implementation are supplemented by a multi-user web simulation. The proposed case study is based on a real-life example. The obtained results allow small agricultural companies to use transportation and labor resources more efficiently when organizing the transportation of their agricultural and forestry products. Integrating data-driven models into simulations enables a better interpretation of data across the entire data value chain.
ISSN:2306-5729
DOI:10.3390/data10070098
Quelle:Advanced Technologies & Aerospace Database