Abstract

AbstractThe relevance of the subject matter derives from the need to select the most effective technical solution at the stages of pre‐design studies and design of irrigation systems when performing innovative projects. The purpose of this study is to develop a decision support system (DSS) that would serve as an analytical and advisory tool for conducting complex research at the stages of pre‐project preparation and design of irrigation systems. The leading approach underlying the solution of the subject matter is the functional modelling methodology integration definition for function modelling (IDEFo). This article presents the architecture of the software product, which shows the main subsystems of the DSS and reflects their interrelations. The implementation of the DSS in the form of a software product based on the provisions of the recommendations will automate the process of selecting alternatives (analogues) for elements of irrigation systems in specific conditions and provide information support for decision‐making at the stages of pre‐design studies and design, and also increase quality control and improve efficiency of managerial decision‐making by 10–15% and reduce the total cost of organizing pre‐design studies and designing irrigation systems by 3–5%. © 2020 John Wiley & Sons, Ltd.

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