Application of AHP/ANP Methods in the Raspberry Fruit Cultivation Process

Ireneusz Kaczmar*, Christian Landschützer, Tamás Bányai

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The main objective of this paper is to identify and show the influence of selected factors on the optimal management of industrial scale raspberry fruit cultivation. The analysis concerns a professional plantation in tunnels, which has an integrated raspberry fruit production system based on long-lived seedlings. The article identifies four main impact factors: infrastructural, technological, logistical and organizational, followed by their specific sub-criteria. Finally, an analysis of the optimal choice of production scenario in terms of environmental impact and a sensitivity analysis of the selected raspberry fruit growing system was conducted. Thanks to the application of AHP/ANP methods, priority values for factors affecting the efficiency of raspberry fruit cultivation were calculated, and the optimal production scenario was selected. The knowledge gained from the research contributes positively to the sustainable development of agriculture and allows to rationally distribute the costs associated with the raspberry production process.

Original languageEnglish
Title of host publicationAdvances in Digital Logistics, Logistics and Sustainability
PublisherSpringer Science and Business Media B.V.
Pages335-355
Number of pages21
DOIs
Publication statusPublished - 21 Sept 2024
Event5th Central European Conference on Logistics 2024, CECOL 2024 - Miskolc, Hungary
Duration: 22 Apr 202424 Apr 2024

Publication series

NameLecture Notes in Logistics
VolumePart F3450
ISSN (Print)2194-8917
ISSN (Electronic)2194-8925

Conference

Conference5th Central European Conference on Logistics 2024, CECOL 2024
Country/TerritoryHungary
CityMiskolc
Period22/04/2424/04/24

Keywords

  • agriculture AHP
  • ANP
  • cultivation
  • long cane
  • raspberries
  • raspberry production

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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