4.5 Article

Planning resource allocation for husbandry management by portfolio optimization

Journal

HELIYON
Volume 8, Issue 10, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.heliyon.2022.e10841

Keywords

Portfolio optimization; Risk management; Decision making; Resource allocation

Funding

  1. Ministry of Education and Sci-ence-Bulgaria
  2. [01-62/18.03.2021]

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This study assesses husbandry management by comparing economic results and aims to minimize risk and maximize return. The research formalizes risk as the standard deviation of return and the probability of losses, and analyzes the characteristics and optimal solutions of these problems. Empirical comparisons with real data demonstrate that applying both risk formalizations can decrease risk.
The husbandry management is assessed in general by comparison of current and past economical results, which are used as a universal business metric. Sustainable management in general targets minimization of risk and maximization of the return for managing business activities. The minimization of the economic risk allows for decreasing the potential losses for the husbandry management and they are leading criteria for planning future resource allocations. The new point added in this research concerns simultaneously inclusion in the portfolio problem the risk formalization both as a standard deviation of return and the probability for losses as value-at-risk. Several portfolio problems are defined, considering the probability of losses as a goal function or constraint in the portfolio problems. The inclusion of these two formalizations allows the portfolio risk to decrease additionally in comparison with the classical portfolio problems, where the risk is quantified as a standard de-viation of the portfolio return. The peculiarities of these problems and the corresponding optimal solutions are analyzed, which allows quantifying the resource allocation per different business activities. Numerical experi-ments are made with real data on animal husbandry, available from the Bulgarian National Statistics and the results are illustrated in a graphical way. The empirical comparison with these data gives benefits in decreasing the risk when both risk formalizations are applied in the portfolio problem.

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