A Decision Support Method for Choosing an Agricultural Machinery Service Workshop Based on Fuzzy Logic

Andrzej Osuch, Ewa Osuch, Piotr Rybacki, Przemysław Przygodziński, Radosław Kozłowski and Andrzej Przybylak
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Andrzej Osuch: Institute of Biosystems Engineering, Poznan University of Life Sciences Wojska Polskiego 50, 60-637 Poznan, Poland
Ewa Osuch: Institute of Biosystems Engineering, Poznan University of Life Sciences Wojska Polskiego 50, 60-637 Poznan, Poland
Piotr Rybacki: Institute of Biosystems Engineering, Poznan University of Life Sciences Wojska Polskiego 50, 60-637 Poznan, Poland
Przemysław Przygodziński: Institute of Biosystems Engineering, Poznan University of Life Sciences Wojska Polskiego 50, 60-637 Poznan, Poland
Radosław Kozłowski: Institute of Biosystems Engineering, Poznan University of Life Sciences Wojska Polskiego 50, 60-637 Poznan, Poland
Andrzej Przybylak: Institute of Biosystems Engineering, Poznan University of Life Sciences Wojska Polskiego 50, 60-637 Poznan, Poland

Agriculture, 2020, vol. 10, issue 3, 1-11

Abstract: The quality of technical services is one of the main criteria for assessing the service processes of agricultural machinery, and it has a significant impact on the decision-making process when choosing a service provider. Technical service quality has a significant role in maintaining agricultural machinery in optimal technical condition, thus ensuring its high reliability and durability. The purpose of this study is to present a decision support method for choosing the right agricultural machinery service facility. The method is based on fuzzy inference. The choice of service workshop is based on decision criteria individually accepted by farmers (experts). The method was checked by way of research carried out among 25 farmers facing the choice of a service facility. The decision-making process allows for ranking the decision criteria and decision-makers. The results of the presented research can be used by farm owners and service companies to plan their development directions.

Keywords: technical service; decision support; fuzzy sets (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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