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U završnom radu definirani proizvodni problem je riješen pomoću tri metode: analitička, grafička i Simplex te pomoću računalnog programa MS Excel. Cilj rada je organizirati optimalnu petodnevnu proizvodnju dva proizvoda: ogradnog stupa i vodilice za klizne elemente s postizanjem maksimalne dobiti. Prema prikupljenim podacima iz poduzeća problem je definiran, raščlanjen i zatim modeliran. Modelirani problem je riješen navedenim metodama i računalnim programom. Primijenjene metode su uspoređene te su objašnjene poveznice među njima., In this bachelor thesis, the productional problem is defined and it is solved by using three methods: analytical, graphical and Simplex as well as with the tool Solver in the computer program MS Excel. Objective of this thesis is to organize optimal production of two products, the fence post and the guide for sliding elements, in period of five days with aim for the maximal earnings. According to the gathered data from the company the problem is defined, analyzed and then it is modeled. The modeled problem is solved by mentioned methods and with the computer program. Applied methods are compared and links between them are explained.

U ovom završnom radu definiran je proizvodni problem koji je riješen različitim metodama. S obzirom da se radi o problemu linearnog programiranja, ograničenja i funkcija cilja su linearne funkcije. Najprije je, pomoću prikupljenih podataka, definiran problem te je postavljen matematički model i kanonski oblik matematičkog modela. Nakon toga, modeli su riješeni grafičkom, analitičkom i simplex metodom, a sve u cilju dobivanja optimalnog rješenja. Također, optimalno rješenje je dobiveno i primjenom računala, točnije uporabom programa WinQSB, što je opisano u petom poglavlju. Usporedba navedenih metoda pokazana je u zaključku., In this bachelor thesis, the production problem is being defined to be solved later using different methods. Considering that the topic is problem of linear programming, constraints and objective function are linear equations. Using collected data, after the problem is defined, mathematical model and canonical form of mathematical model are set. Afterwards, models are being solved by graphic, analytic and simplex method, focusing on achievement of optimal solution. The integer solution is achieved using a computer, i.e. WinQSB programme, described in chapter five. All mentioned methods are compared in the conclusion.