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doctoral thesis
Unapređenje proizvodnih procesa primjenom principa povlačenja
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2018. urn:nbn:hr:235:554416
Tošanović, Nataša
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

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Tošanović, N. (2018). Unapređenje proizvodnih procesa primjenom principa povlačenja (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:554416

Tošanović, Nataša. "Unapređenje proizvodnih procesa primjenom principa povlačenja." Doctoral thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2018. https://urn.nsk.hr/urn:nbn:hr:235:554416

Tošanović, Nataša. "Unapređenje proizvodnih procesa primjenom principa povlačenja." Doctoral thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2018. https://urn.nsk.hr/urn:nbn:hr:235:554416

Tošanović, N. (2018). 'Unapređenje proizvodnih procesa primjenom principa povlačenja', Doctoral thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:235:554416

Tošanović N. Unapređenje proizvodnih procesa primjenom principa povlačenja [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2018 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:235:554416

N. Tošanović, "Unapređenje proizvodnih procesa primjenom principa povlačenja", Doctoral thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:235:554416

Metadata
TitleUnapređenje proizvodnih procesa primjenom principa povlačenja
Title (english)Improvement of production processes by applying pull principles
AuthorNataša Tošanović
MentorNedeljko Štefanić (mentor)
Committee memberGoran Đukić (predsjednik povjerenstva)
Committee memberNedeljko Štefanić (član povjerenstva)
Committee memberIvica Veža (član povjerenstva)
MBZ: 95643
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2018-11-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Production Mechanical Engineering
Universal decimal classification
(UDC)		662 - Explosives. Fuels
Abstract
Kontinuirano unapređenje proizvodnje uvjet je svakom proizvođaču za opstanak na tržištu. Istraživanja pokazuju da veliki broj vodećih svjetskih proizvodnih poduzeća koristi principe Vitke proizvodnje za unapređenje svojih procesa. Osnovni princip Vitke proizvodnje je povlačenje materijala kroz proizvodni proces. Sinonim za povlačenje jest Kanban jer je to bio prvi razvijeni mehanizam upravljanja proizvodnjom kojim se realizira povlačenje materijala kroz proces a koji je razvijen u Toyoti, gdje su principi vitke proizvodnje i nastali. S godinama primjene ovog principa razvijaju se i drugi mehanizmi upravljanja obzirom na specifičnosti pojedinih proizvodnih procesa. Cilj ovog istraživanja bio je analizirati kako parametri proizvodnog procesa, redom: koeficijent varijacije vremena obrade, vrijeme trajanja obrade, usko grlo, te broj upravljačkih kartica utječu na performanse proizvodnog procesa ovisno koji se mehanizam upravljanja koristi u procesu. Hipoteza rada je bila da je izborom odgovarajućeg mehanizma upravljanja proizvodnjom kojim se postiže povlačenje materijala kroz proces moguće optimalno unaprijediti performanse proizvodnog procesa. U tu svrhu provedeno je simulacijsko eksperimentiranje. Simulirana su četiri zasebna scenarija. U prvom scenariju proizvodni proces je upravljan Kanban mehanizmom upravljanja. U drugom, proizvodni proces je upravljan Conwip mehanizmom upravljanja, te i trećem i četvrtom scenariju proizvodni proces je upravljan redom Hibrid Kanban/Conwip te DBR mehanizmom upravljanja. Za sva četiri mehanizma upravljanja varirani su isti utjecajni parametri. Promatrane su mjerne performanse produktivnost i vodeće vrijeme te su navedene mjerne performanse uspoređene za svaki od mehanizama upravljanja. Rezultati su pokazali da za svaku kombinaciju vrijednosti ulaznih parametara mjerne performanse su različite ovisno o tome kojim mehanizmom upravljanja se upravlja proizvodnim procesom. Sukladno dobivenom zaključuje se da nije uvijek isti mehanizam upravljanja najbolji odabir za određeni proizvodni proces. Koji je mehanizam upravljanja najbolji odabir za određeni proces ovisi o razinama utjecajnih parametara proizvodnog proces
Abstract (english)
In order to stay successful in business every production company needs to continuously improve its processes. Research has shown that a large number of leading world manufacturing companies use the principles of Lean production to improve their processes. The basic principle of Lean production is to pill of material through the production process. The synonym for the pull is Kanban because it was the first developed production control mechanism to achieve through a process developed in Toyota, where the principles of Lean production were created. With the years of application of this principle, other production control mechanisms are developed with regard to the specificity of individual production processes. The aim of this research was to analyze how the production process parameters: coefficient of variation of processing time, processing time, bottleneck, and number of production control cards affect the performance of the production process depending on production control mechanism. The hypothesis of the research was that by selecting an appropriate pull it is possible to optimally improve the performance of the production process. Simulation experimentation was performed for this purpose. Four case scenarios were simulated. In the first case scenario the production process was controlled by Kanban. In the second one, production process was controlled by Conwip. In the third and the forth case scenarios the production process was controlled by Hybrid Kanban / Conwip and DBR. All four scenarios were simulated in such a way that the same production parameters have been varied. Productivity and lead time were observed, and then were compared for each of the control mechanisms. The results have shown that for each combination of input parameters, the performance measure varies depending on which control mechanism is applied in the production process. Based on these findings, it is concluded that not always the same control mechanism is the best choice for a particular process. Which is the best control mechanism for the particular process depends on the levels of influential parameters of the production process.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:554416
Study programmeTitle: Mechanical Engineering and Naval Architecture
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, područje tehničkih znanosti (doktor/doktorica znanosti, područje tehničkih znanosti)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-04-08 21:39:35