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Analysing economic effi ciency of farm production always faces a problem of insuffi cient information. Th is is particularly true when the analysis is performed on the reference farm where estimates are based on the average aggregated data. Th e paper illustrates how the combination of diff erent mathematical programming methods could be effi ciently used to analyse the farm-production plan with the lack of the on-farm accounting data. Th e utilised approach shows how the holistic analysis of production planning as a multi-criteria problem could be conducted. Th e estimation of the missing information and the disaggregation of the endogenous farm data is enabled through diff erent models that are based on the constrained optimisation. Th e developed models are linked into the spreadsheet modular tool enabling systematic analyses of the farm decision making under risky conditions. Illustration of the modular tool application is given via the analyses of three hypothetic dairy farms. Th e obtained results indicate that the developed approach enables holistic analyses of the production planning. Th e methodology applied provides also important information for the measures aimed to increase effi ciency as well as to benchmarking the performance of diff erent farm types. Th e results point to a discrepancy between the solutions obtained through diff erent objective functions and shows the advantage of the multi-criteria approach.

Optimal allocation of production resources under uncertainty: Application of the muliticriteria approach