Andreja Borec

The Use of Multi Criteria Models for Decision Support on Organic Farms

ABSTRACT The need for reliable information in the organic farm planning process dictates the use of modern decision support methods. The methodology of an integrated deterministic simulation system application for decision-making support on organic farms is described in this article. The deterministic simulation system KARSIM 1.0 consists of 74 deterministic production simulation models that enable different types of costs and financial feasibility calculations for organic production and food processing. The KARSIM 1.0 was applied on a sample organic farm for the simulation of five different business alternatives. The simulation model results are further evaluated with two multi-objective analysis methods: analytical hierarchical process (Expert Choice Decision Support System software) and DEX-i expert system (computer software for multi attribute decision making). Alternative 3 (spelt grain processing) results with the highest multi-objective decision evaluation (Expert Choice = 0.275 and DEX-i evaluation = very good). The combination of deterministic cost simulation model and multi criteria decision analysis with the emphasis on financial, technological, market and risk objective presents a powerful decision support tool for organic farms, however, further improvement and development of proposed methodology would be suggested.

A Multi-Criteria Decision Analysis Framework Tool for the Selection of Farm Business Models on Organic Mountain Farms

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 sheeps 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 highest 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 presents an acceptable decision support tool for mountain organic farms; however, further research is desirable.

Multi-criteria assessment of less favoured areas: A state level

The paper present a multi-criteria decision DEXi model for assessment of less favoured areas (LFAs). The tool enables easier assessment of farming in different areas of Slovene LFAs with respect to criteria of sustainability. Analysis of LFAs and final integration of the assessment of LFAs depend upon various criteria. In this paper we analyze individual LFAs and farming systems in these areas at the state level with respect to criteria of sustainability and farming potential.

Characteristics of Value Based Organic Food Chains: Two Cases from Slovenia

In the literature the value based food chains express two main characteristics: business relationships among strategic partners interacting in the supply chain are based on a written set of values and food products are differentiated from similar food products (Stevenson, 2009). To verify the first part of the definition the analysis of two organic food chains were carried out. For the analysis of business relationships and food quality communication in the food chain two different methodological approaches were used. For collecting the input data semi-structured interviews of various stakeholders were performed. The results of the analyzed case studies show the characteristics of value based food chains could be broader and more complex if some additional perspectives were considered.