Open AccessInformation and analytical system of decision-making support for agricultural enterprises of Northern Kazakhstan
Author(s) -
G. M. Mauina,
Еkaterina А. Chertkova,
V. S. Karpov,
S. A. Nukusheva,
U. Zh. Aytimova
Publication year - 2022
Publication title -
vestnik nacionalʹnoj inženernoj akademii respubliki kazahstan
Language(s) - English
Resource type - Journals
eISSN - 2709-4707
pISSN - 2709-4693
DOI - 10.47533/2020.1606-146x.140
Subject(s) - production (economics) , hierarchy , correctness , computer science , agricultural productivity , quality (philosophy) , operations research , agriculture , decision support system , work (physics) , risk analysis (engineering) , business , economics , microeconomics , engineering , data mining , ecology , philosophy , epistemology , market economy , biology , programming language , mechanical engineering
This article presents a description of the developed information and analytical decision support system for choosing the optimal production scenario for an agricultural enterprise IAS PPR Kazagro Choice. The problem of making managerial decisions on scenarios for the production of agricultural enterprises in Northern Kazakhstan is due to the presence of many criteria (parameters) of production and market conditions. The correctness of the consideration of the criteria predetermines the quality of management decision-making according to the preferred scenario for the functioning of an agricultural facility. The IAS PPR Kazagro Choice contains the concept of finding the best (optimal) production scenario among all possible alternative scenarios. The development of IAS PPR Kazagro Choice is based on the author’s mathematical model with a dominant hierarchy of the problem of choosing a production scenario and on the implementation of the hierarchy analysis method. IAS PPR Kazagro Choice makes it possible for a decision-maker to choose a preferred (optimal) scenario for the production of an agricultural enterprise in conditions of multifactorial influence and the availability of expert information. Distinctive characteristics of IAS PPR Kazagro Choice: focus on solving poorly structured problems; combination of traditional methods of access and processing of computer data with the capabilities of mathematical modeling. The specific applied value of the work lies in the possibility of using an adaptive implementation model for making managerial decisions on the choice of the preferred production scenario for a wide range of agricultural enterprises.