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

-д хадгалсан:

Номзүйн дэлгэрэнгүй
-д хэвлэсэн:	Data vol. 10, no. 7 (2025), p. 98-118
Үндсэн зохиолч:	Merkurjeva Galina
Бусад зохиолчид:	Vitalijs, Bolsakovs, Jurijs, Merkurjevs, Romanovs Andrejs, Faes Wouter
Хэвлэсэн:	MDPI AG
Нөхцлүүд:	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
Онлайн хандалт:	Citation/Abstract Full Text + Graphics Full Text - PDF
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!

Тодорхойлолт
Хураангуй:	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
Эх сурвалж:	Advanced Technologies & Aerospace Database