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How to Use Linear Programming for Information System Performances Optimization

100%
Hell M., Dragičević T.
Business Systems Research Journal
|
2014
|
vol. 5
|
issue 3
49-66
EN
Background: Organisations nowadays operate in a very dynamic environment, and therefore, their ability of continuously adjusting the strategic plan to the new conditions is a must for achieving their strategic objectives. BSC is a well-known methodology for measuring performances enabling organizations to learn how well they are doing. In this paper, “BSC for IS” will be proposed in order to measure the IS impact on the achievement of organizations’ business goals. Objectives: The objective of this paper is to present the original procedure which is used to enhance the BSC methodology in planning the optimal targets of IS performances value in order to maximize the organization's effectiveness. Methods/Approach: The method used in this paper is the quantitative methodology - linear programming. In the case study, linear programming is used for optimizing organization’s strategic performance. Results: Results are shown on the example of a case study national park. An optimal performance value for the strategic objective has been calculated, as well as an optimal performance value for each DO (derived objective). Results are calculated in Excel, using Solver Add-in. Conclusions: The presentation of methodology through the case study of a national park shows that this methodology, though it requires a high level of formalisation, provides a very transparent performance calculation.
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Alokacja środków finansowych na wybrane działania PROW 2014-2020 z wykorzystaniem optymalizacji liniowej

75%
Kiryluk-Dryjska E.
Journal of Agribusiness and Rural Development
|
2014
|
issue 3(33)
61-73
EN
The objective of the study was to explore the application of linear optimization models for improved allocation of funds from the Polish Rural Development Program. Separate linear optimization models are constructed for regional and national allocation problems. The funds allocated for individual measures are derived based on the potential number of beneficiaries within each region, using objective distribution criteria that are similar between regions.
PL
Celem artykułu jest zaprezentowanie możliwości wykorzystania optymalizacji liniowej do krajowej oraz regionalnej alokacji środków finansowych na wybrane działania PROW 2014-2020. Skonstruowano modele optymalizacji liniowej alokujące środki finansowe na poszczególne działania programu na poziomie krajowym i regionalnym. Przyjęto dwojaki sposób wyznaczania współczynników funkcji celu: w modelu krajowym wykorzystano oceny beneficjentów działań, w modelach regionalnych kryteria podziału dla każdego z działań wyznaczono na podstawie danych statystycznych. Zaproponowana struktura alokacji uzyskana z wykorzystaniem skonstruowanych modeli uwzględnia potrzeby rozwoju wsi i rolnictwa poszczególnych województw wynikające z ich struktury agrarnej. Alokowane kwoty na poszczególne działania są pochodną liczby potencjalnych beneficjentów działań ukierunkowaną obiektywnym i równym dla wszystkich regionów kryterium podziału.
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