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undergraduate thesis
Primjena grafičke metode u linearnom programiranju
Završni rad
2023. urn:nbn:hr:145:537343
Blažević, Stipe
Josip Juraj Strossmayer University of Osijek
Faculty of Economics and Business in Osijek
Chair of Quantitative Methods and Informatics

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Blažević, S. (2023). Primjena grafičke metode u linearnom programiranju : Završni rad (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:145:537343

Blažević, Stipe. "Primjena grafičke metode u linearnom programiranju : Završni rad." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, 2023. https://urn.nsk.hr/urn:nbn:hr:145:537343

Blažević, Stipe. "Primjena grafičke metode u linearnom programiranju : Završni rad." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, 2023. https://urn.nsk.hr/urn:nbn:hr:145:537343

Blažević, S. (2023). 'Primjena grafičke metode u linearnom programiranju : Završni rad', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:145:537343

Blažević S. Primjena grafičke metode u linearnom programiranju : Završni rad [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek; 2023 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:145:537343

S. Blažević, "Primjena grafičke metode u linearnom programiranju : Završni rad", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, Osijek, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:145:537343

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Metadata
TitlePrimjena grafičke metode u linearnom programiranju : Završni rad
Title (english)Application of graphical method in linear programming : Final paper
AuthorStipe Blažević
MentorMartina Briš Alić (mentor)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Economics and Business in Osijek
(Chair of Quantitative Methods and Informatics)
Osijek
Defense date and country2023-09-18, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Quantitative Economics
Abstract
Završni rad temelji se na analizi i primjeni grafičke metode u linearnom programiranju. Grafička metoda predstavlja koristan alat u linearnom programiranju koji pomaže u rješavanju problema na razumljiv način. Umjesto korištenja matematičkih formula, koriste se grafikoni kako bi se problem vizualno prikazao i pronašlo optimalno rješenje. Metoda zahtijeva da se definiraju ograničenja i ciljevi problema prije nego što se primijeni. Nakon toga, kreira se grafikon koji opisuje dopušteno područje, odnosno sve kombinacije koje zadovoljavaju zadana ograničenja. Također, na grafikonu se prikazuje ciljna funkcija koja se želi maksimizirati ili minimizirati. Analizom vrhova dopuštenog područja pomoću grafičke metode dolazi se do optimalnog rješenja problema. Ovaj pristup omogućuje jasnu sliku o najboljem rješenju. Važno je napomenuti da grafička metoda ima svoja ograničenja. Primjerice, postaje manje praktična u situacijama s velikim brojem varijabli ili kada postoji beskonačno mnogo rješenja. U takvim scenarijima, naprednije metode kao što je Simplex metoda dolaze do izražaja. U okviru rada bit će prikazan konkretan primjer problema koji će se rješavati primjenom grafičke metode. Za rješavanje tog problema koristit će se program Microsoft Excel.
Abstract (english)
The final paper is based on the analysis and application of the graphical method in linear programming. The graphical method represents a useful tool in linear programming that assists in solving problems in an understandable manner. Instead of using mathematical formulas, graphs are used to visually represent the problem and find the optimal solution. The method requires defining the constraints and objectives of the problem before being applied. Following this, a graph is created that describes the feasible region, encompassing all combinations that satisfy the given constraints. Additionally, the graph depicts the objective function that is to be maximized or minimized. By analyzing the vertices of the feasible region through the graphical method, the optimal solution to the problem is determined. This approach provides a clear picture of the best solution. It is important to note that the graphical method has its limitations. For instance, it becomes less practical in situations with a large number of variables or when there are infinitely many solutions. In such scenarios, more advanced methods like the Simplex method come to the forefront. Within the framework of the paper, a specific example problem that will be solved using the graphical method will be presented. The Microsoft Excel program will be used to solve this problem.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:145:537343
Study programmeTitle: Business Informatics
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/ bacaccalaurea) ekonomije (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/ bacaccalaurea) ekonomije)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-12-14 13:16:33