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1.
A Multi-criteria decision analysis framework tool for the selection of farm business models on organic mountain farms
Karmen Pažek, Črtomir Rozman, Franc Bavec, Andreja Borec, Martina Bavec, 2010, original scientific article

Abstract: Mountain regions are important producers of organic food. For them, reliable decision making regarding business planning necessitates different critical support methods. KARSIM 1.0 (DSM) is a methodology based on an integrated deterministic simulation system application for decision-making support, consisting of 74 deterministic production simulation models. DSM enables different types of cost and financial feasibility calculations for organic production and food processing. KARSIM 1.0 was used to simulate three specific business alternatives for mountain organic farms. (Alternative 1: spelt grain, fruit cider, wine and brandy, plum brandy, calves meat and sheep-soft cheese production, Alternative 2: spelt flour, pear and apple juice, plum brandy, veal and sheep's milk, Alternative 3: spelt grain, dried fruit, calves, soft and hard sheep cheese). Simulation model results were compared using two multi-objective analysis methods: the analytical hierarchical process (Expert Choice Decision Support System software) and DEX-i method. the results showed the bigest multi-objective decision evaluation for alternative 2 (Expert Choice = 0.361 and DEX-i evaluation = excellent). We can conclude that the combination of a deterministic cost simulation model and multi-criteria decision analysis present an acceptable decision support tool for mountain organic farms; however, further research is desirable.
Keywords: simulation modeling, KARSIM 1.0, MCDA, DEXži, analytical hierarchical process, mountain organic farms
Published: 05.06.2012; Views: 1409; Downloads: 76
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2.
Application of analytical hierarchy process in agriculture
Karmen Pažek, Črtomir Rozman, 2005, original scientific article

Abstract: Hierarchical decision models are a general decision support methodology aimed at the classification or evaluation of options that accur in desion-making processes. Decision models are typically developed through the decomposition of complex decision problems into smaller and less comple subproblems. This paper presents an approach to the development and implementation of multicriteria decision model based on Analytical Hierarchy Process - AHP (Expert Choice, EC). Likewise, the AHP is used as a potential multicriteria decision making method for application in agriculture. In order to show the implementation of explained MCDA methods in real situation in agriculture, theapplication of AHP on a sample model farm is presented in the second part of the article.
Keywords: multicriteria decision analysis, MCDA, analytical hierarchy process, AHP, decision support system, DSS, agriculture
Published: 20.07.2017; Views: 386; Downloads: 123
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