STROŠKOVNA OPTIMIZACIJA PLANOV GRADBENIH PROJEKTOV Z OMEJENIMI VIRI IN ALTERNATIVNIMI PROIZVODNIMI PROCESI Z MEŠANIM CELOŠTEVILSKIM NELINEARNIM PROGRAMIRANJEM

Cajzek, Rok

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Title:	STROŠKOVNA OPTIMIZACIJA PLANOV GRADBENIH PROJEKTOV Z OMEJENIMI VIRI IN ALTERNATIVNIMI PROIZVODNIMI PROCESI Z MEŠANIM CELOŠTEVILSKIM NELINEARNIM PROGRAMIRANJEM
Authors:	ID Cajzek, Rok (Author) ID Klanšek, Uroš (Mentor) More about this mentor...
Files:	This document has no files. This document may have a physical copy in the library of the organization, check the status via COBISS.
Language:	Slovenian
Work type:	Doctoral dissertation
Typology:	2.08 - Doctoral Dissertation
Organization:	FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
Abstract:	Doktorska disertacija obravnava stroškovno optimizacijo planov gradbenih projektov z omejenimi viri in alternativnimi proizvodnimi procesi z mešanim celoštevilskim nelinearnim programiranjem (MINLP). V disertaciji je predlagan nov optimizacijski model, ki vsebuje stroškovno namensko funkcijo, omejitve posplošenih časovnih povezav, omejitve trajanja in časov pričetkov aktivnosti, omejitve časovnih zamikov, omejitve načina izvedbe aktivnosti, omejitve trajanja projekta, omejitve dodeljevanja enot delovnega časa in omejitve virov. MINLP superstruktura diskretnih rešitev obsega možne čase, stroške in vire z ozirom na možne načine izvedbe projektnih aktivnosti, kakor tudi alternativne načine izvedbe proizvodnega procesa. Predlagani model omogoča vključitev širokega nabora nelinearnih izrazov in zagotavlja eksaktne rezultate za vodenje projekta v obliki strukturnih mrežnih diagramov, gantogramov, histogramov in S-krivulj. V nasprotju s klasičnimi tehnikami operativnega planiranja je z razvitim pristopom optimalna struktura projekta pridobljena kot endogena rešitev iz modela. Planerju projekta je tako omogočeno, da izvede optimizacijo proizvodnega procesa hkrati s planiranjem omejenih virov v diskretnih časovnih enotah ob minimalnih skupnih stroških. Dodatna značilnost modela je, da omogoča operativno določitev optimalnega proizvodnega procesa s pripadajočim strukturnim mrežnim diagramom ter posodobljene terminske in spremljajoče plane v primeru odpovedi ključnega vira, ki ga je med izvedbo projekta težko nadomestiti. Predlagani model med drugim omogoča tudi planiranje projekta iz normalne rešitve ob nedopustnih prirastkih potreb po virih, ki se nahajajo izven razpoložljivih kapacitet. Prednosti predlaganega modela so predstavljene v nizu primerov na realnem gradbenem projektu. Izvirni prispevek k znanosti se odraža v novi metodologiji in v predlaganem MINLP modelu, v okviru katerega je možno izvesti eksaktno stroškovno optimizacijo proizvodnega procesa (prisotnost in število aktivnosti, vključno z njihovimi medsebojnimi časovnimi odnosi, se obravnavajo kot izvedljive alternative in ne kot stalni parametri) s sočasnim planiranjem projekta z omejenimi viri, kar se izvede v enovitem postopku.
Keywords:	planiranje projektov, optimizacija stroškov, omejeni viri, prilagodljiv proizvodni proces, mešano celoštevilsko nelinearno programiranje, MINLP
Place of publishing:	Maribor
Publisher:	[R. Cajzek]
Year of publishing:	2019
PID:	20.500.12556/DKUM-73057
UDC:	519.8:[657.47:69.05](043.3)
COBISS.SI-ID:	22308118
NUK URN:	URN:SI:UM:DK:DXQRQN1Q
Publication date in DKUM:	26.04.2019
Views:	2701
Downloads:	0
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Categories:	KTFMB - FG
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Licences

License:	CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

Link:	http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:	The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:	29.01.2019

Secondary language

Language:	English
Title:	COST OPTIMIZATION OF PROJECT SCHEDULES UNDER CONSTRAINED RESOURCES AND ALTERNATIVE PRODUCTION PROCESSES BY MIXED- INTEGER NONLINEAR PROGRAMMING
Abstract:	The doctoral dissertation presents cost optimization of project schedules under constrained resources and alternative production processes by mixed integer nonlinear programming (MINLP). A new optimization model is proposed in the doctoral dissertation which contains a cost objective function, generalized precedence relationship constraints, activity duration and start time constraints, lag/lead time constraints, execution mode constraints, project duration constraints, working time unit assignment constraints and resource constraints. The MINLP superstructure of discrete solutions covers time-cost-resource options related to various execution modes for project activities as well as variants for production process implementation. The proposed model provides the exact optimal output data for project management, such as network diagrams, Gantt charts, histograms and S-curves. In contrast to classic scheduling approaches, here the optimal project structure is obtained as a model-endogenous decision. The project planner is thus enabled to achieve optimization of the production process simultaneously with resource constrained scheduling of activities in discrete time units and at a minimum total cost. An additional feature of the model is that it allows the operative determination of the optimal production process with an associated network diagram and accompanying updated schedules in the case of a total failure of a bottleneck resource, which is difficult to replace during the project execution. The proposed model enables, inter alia, the planning of a project from a normal solution with overallocated resources that are outside the available capacities. The advantages of the proposed model are presented in a series of examples performed on a real construction project. The unique value this paper contributes to the body of knowledge reflects through the new methodology and proposed MINLP model, which is capable of performing the exact cost optimization of a production process (where the presence and the number of activities including their mutual relations are dealt as feasible alternatives, meaning not as fixed parameters) simultaneously with the associated resource-constrained project scheduling, whereby that is achieved within a unified procedure.
Keywords:	project scheduling, cost optimization, constrained resources, adaptive production process, mixed-integer nonlinear programming, MINLP

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