Application of AHP method for optimal selection of the IT system supporting business operations in the logistics enterprise

Anna Baj-Rogowska


The main objective of this paper is to solve the multicriteria decision problem consisting in optimal selection of the best software for supporting logistics operations in an enterprise. Analytic Hierarchy Process (AHP) based procedure has been used in this paper which selects a decision alternative for the problem considered. As a result, a solution that satisfies the decision-maker has been determined.
The paper consists of three parts. The first one includes an overview of IT systems supporting the logistics management in a company. Then a theoretical background of the Analytic Hierarchy Process is presented as the basis for deliberations contained in the third part, which offers a way to solve the problem of IT system selection that can be used by any logistics company.


decision-making, analytic hierarchy process, AHP, IT, IT systems in logistics

Full Text:



Długosz, J. (2009). Nowoczesne technologie w logistyce. Warszawa: PWE.

Jabłoński, W. J., & Bartkiewicz, W. (2006). Systemy informatyczne zarządzania: klasyfikacja i charakterystyka systemów. Bydgoszcz: Wydawnictwo KPSW.

Kisielnicki, J. (2013). Systemy informatyczne zarządzania. Warszawa: Wydawnictwo Placet.

Majewski, J. (2006). Informatyka dla logistyki. Poznań: Biblioteka Logistyka.

Prusak, A., Stefanów, P. (2014). AHP - analityczny proces hierarchiczny. Budowa i analiza modeli decyzyjnych krok po kroku. Warszawa: Wydawnictwo C.H. Beck.

Saaty, T. L. (1990). How to make a decision: The analytic hierarchy process. European Journal of Operational Research. 48(1).

Saaty, T. L. & Vargas, L. G. (2012). Models, Methods, Concepts & Applications of the Analytic Hierarchy Process. New York: Springer Science + Business Media.

Szymonik, A. (2006). Systemy informatyczne w realizacji funkcji logistycznych. Łódź: Wydawnictwo Wyższej Szkoły Kupieckiej.

Velasquez, M. & Hester, P. T. (2013). An Analysis of Multi-Criteria Decision Making Methods. International Journal of Operations Research. 10(2).

Wrycza, S. (Eds.). (2010). Informatyka ekonomiczna. Warszawa: Polskie Wydawnictwo Ekonomiczne.

Zeshui, X. (2014). Hesitant Fuzzy Sets Theory. Sichuang: Springer.



Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Print ISSN: 1643-8175, Online ISSN: 2451-0955, DOI prefix: 10.19197, Principal Contact: