Primjena De Novo programiranja za donošenje odluka u proizvodnji

master's thesis

• Title (english): Application of De Novo programming for decision-making in production
• Author: Paula Kralj
• Mentor: Nataša Tošanović (mentor)
• Granter: University of Zagreb; Faculty of Mechanical Engineering and Naval Architecture; Zagreb
• Defense date and country: 2025-02-06, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mechanical Engineering

Abstract

Osnovni zadatak proizvodnih poduzeća je učinkovito koristiti dostupne resurse kako bi proizvela proizvode u željenoj količini, kvaliteti, unutar zadanog vremena i s minimalnim troškovima. Ovaj rad istražuje primjenu kvantitativne metode De Novo programiranja za optimizaciju proizvodnje i donošenje odluka u proizvodnim sustavima. Prvo se daje pregled kvantitativnih metoda i sistematizacija programske podrške za optimizaciju. Zatim se u radu opisuje proizvodna funkcija poduzeća, uključujući proizvodni program i proces proizvodnje. U sklopu rada je potom primijenjena metoda De Novo programiranja kako bi se matematički modelirao konkretni problem u proizvodnji i našlo optimalno rješenje korištenjem programskog jezika Python. Na temelju analize dobivenih rezultata, dana je preporuka za donošenje odluka koju poduzeće može koristiti za poboljšanje svojih proizvodnih procesa.

Abstract (english)

The primary task of manufacturing companies is to efficiently utilize available resources to produce products in the desired quantity and quality, within the given time frame, and at minimal costs. This thesis explores the application of the quantitative De Novo programming method for production optimization and decision-making in manufacturing systems. The paper first provides an overview of quantitative methods and a systematization of software tools for optimization. It then describes the production function of the company, including the production program and manufacturing process. Then, De Novo programming is applied to mathematically model a specific problem in production and find the optimal solution using the Python programming language. Based on the analysis of the obtained results, a decision-making recommendation is provided that the company can use to improve its production processes.

• Keywords: Kvantitativne metode; optimizacija proizvodnje; De Novo programiranje
• Keywords (english): quantitative methods; production optimization; De Novo programming
• Language: croatian
• URN:NBN: urn:nbn:hr:235:574016
• Study programme: Title: Mechanical Engineering; specializations in: Design, Process and Energy Engineering, Production Engineering, Engineering Modelling and Computer Simulation, Marine Engineering, Industrial Engineering and Management, Materials Engineering, Mechanics and Robotics, Autonomous Systems, Mechatronics and Robotics; Course: Industrial Engineering and Management; Study programme type: university; Study level: graduate; Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka strojarstva (sveučilišni/a magistar/magistra inženjer/inženjerka strojarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Embargoed access; Embargo expiration date: 2030-02-06
• Created on: 2025-02-04 09:47:27