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1.
AGILNI PROJEKTNI PRISTOP PRI RAZVOJU MOBILNIH APLIKACIJ
Aljaž Daković, 2013, master's thesis

Abstract: Razvoj mobilnih aplikacij je nova in izjemno hitro razvijajoča se in rastoča industrijska panoga. Dinamiko tega razvoja in rasti zagotavljajo razvojni projekti mobilnih aplikacij, ki širijo svetovni spekter projektov in s svojimi specifičnimi zahtevami postavljajo pred stroko projektnega menedžmenta nove izzive. Njihove posebnosti se kažejo v relativni kratkotrajnosti in majhni kompleksnosti glede na število vključenih posameznikov v projektni sistem teh projektov od začetka njihovih življenjskih ciklusov pa do zaključka faz izvajanja. Zaradi tega in določenih vsebinskih posebnosti teh projektov sta aplikabilnost in učinkovitost klasičnih konceptov, predvsem pa metodologij projektnega menedžmenta precej omejeni. V zadnjih letih se pogosto izpostavlja primernost agilnih projektnih metodologij za projekte s podobnimi karakteristikami, kot jih imajo projekti razvoja mobilnih aplikacij. V magistrskem delu predstavljamo izvirno adaptacijo in integracijo dveh agilnih metodologij – Scrum in Extreme Programming, za potrebe agilnega razvoja mobilnih aplikacij.
Keywords: projektne metodologije, agilni projektni menedžment, agilne metodologije, mobilne aplikacije, Scrum, Extreme Programming
Published: 19.05.2014; Views: 914; Downloads: 194
.pdf Full text (1,71 MB)

2.
Mixed-integer nonlinear programming based optimal time scheduling of construction projects under nonconvex costs
Rok Cajzek, Uroš Klanšek, 2016, original scientific article

Abstract: Optimal project scheduling under nonconvex time-cost relations represents a challenging problem in construction management. The nonconvex time-cost relations may appear in a construction project when several different duration options are available for its activities due to alternative technological processes enabled for their realization or wide accessibility of production resources. The source of nonconvexity of the project scheduling optimization problem can also be the project penalty- or bonus-duration relations arranged within the construction contract. The aim of this paper is to present the mixed-integer nonlinear programming (MINLP) based optimal time scheduling of construction projects under nonconvex costs. For this purpose, the MINLP model was developed and applied. A numerical example from literature and an example of construction project time-cost trade-off analysis under practical nonconvex penalty function are given in the paper to demonstrate advantages of MINLP optimization. The example from literature first presented the capability of the MINLP approach to obtain the optimal solution for difficult, highly combinatorial nonconvex discrete project scheduling problem. Thereupon, the following example revealed that the optimal project time-cost curve may take very nonuniform shape on account of discrete nature of activity direct cost options and nonconvex relation between project duration and total cost. In this way, the presented study intends to provide practitioners with new information from the field of optimization techniques for project scheduling as well as an alternative view on performance of total cost when project duration is changed.
Keywords: extreme environments, construction management, discrete optimization, mixed-integer nonlinear programming, nonconvex costs, time scheduling
Published: 12.07.2017; Views: 385; Downloads: 227
.pdf Full text (807,33 KB)
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