Yiğit Aksoy, Mehmet Pakdemirli, Saeid Abbasbandy and Hakan Boyacı
The purpose of this paper is to apply, for the first time, the authors' newly developed perturbation iteration method to heat transfer problems. The effectiveness of the new…
Abstract
Purpose
The purpose of this paper is to apply, for the first time, the authors' newly developed perturbation iteration method to heat transfer problems. The effectiveness of the new method in nonlinear heat transfer problems will be tested.
Design/methodology/approach
Nonlinear heat transfer problems are solved by perturbation iteration method. They are also solved by the well‐known technique variational iteration method in the literature.
Findings
It is found that perturbation iteration solutions converge faster to the numerical solutions. More accurate results can be achieved with this new method for nonlinear heat transfer problems.
Research limitations/implications
A few iterations are actually sufficient. Further iterations need symbolic packages to calculate the solutions.
Practical implications
This new technique can practically be applied to many heat and flow problems.
Originality/value
The new perturbation iteration technique is successfully implemented to nonlinear heat transfer problems. Results show good agreement with the direct numerical simulations and the method performs better than the existing variational iteration method.
Details
Keywords
Purpose: This study examines the integration of smart agriculture and supply chain management systems within Turkey’s agricultural sector under Industry 5.0.Need for the study…
Abstract
Purpose: This study examines the integration of smart agriculture and supply chain management systems within Turkey’s agricultural sector under Industry 5.0.
Need for the study: With global challenges like the COVID-19 pandemic and climate change, ensuring safe food production and accessibility is critical. However, there is a gap in understanding the readiness and awareness of Industry 5.0 technologies in agriculture and logistics. This study aims to fill this gap by investigating the adoption and implications of smart agriculture and logistics in Turkey.
Methodology: Drawing on secondary data from regulators, farmers, and supply chain experts, this study employs coding methods, particularly theoretical coding, to develop a framework for assessing the sector’s readiness for smart technologies and Industry 5.0 awareness.
Findings: This study reveals insights into the adoption and impacts of smart agriculture and supply chain systems in Turkey. It identifies factors shaping institutional logics within the sector and explores how Industry 5.0 technologies influence these logics. Additionally, it offers theoretical insights into Turkey’s agricultural future in the Industry 5.0 era.
Practical implications: Practically, this study informs policymakers, regulators, farmers, and supply chain stakeholders about Industry 5.0 technology readiness and awareness in Turkey’s agricultural sector. It guides strategies for smart technology adoption, improving productivity, food safety, accessibility, and sustainability. Furthermore, it contributes to institutional logics literature, shedding light on the independent logics driving organizational settings in smart agriculture and supply chain management.