Advanced construction progress management with BEXEL Manager : master thesis No.: 236/II. GR-BIM

Rodrigues, Iuri Gonçalves (author), Cerovšek, Tomo (mentor), Janjić, Veljko (co-mentor)

The digitalization of the construction sector is seen by several international organs and policy makers as inevitable and vital for the Architecture, Engineering and Construction Industry prosperity and sustainability. Its benefits span from the enhancement of current practices to the integration of disruptive tools and technologies allowing the emergence of new and improved processes. The progress management process is an essential part of the construction projects that analysis and manages the performance of works developed proving to be key in avoiding time and costs overrun, delivering projects efficiently. One of the main aspects of efficient project management that enables an accurate process of decision making is the ability to analyse as-built and as-planned progress information discrepancies and communicate it in a clear way. This study focuses on exploring the automation of construction progress management by identifying new technologies and methods of retrieving and use information required, and how to process this information to analyse earned value and delays of the construction project in an ongoing manner, controlling its performance, and taking advantage of the integration of Building Information Modeling (BIM), project management tools and software. The dissertation includes the design of a framework using BIM and the project management software Bexel Manager to manage the construction progress and applies it to a use-case scenario to ultimately assess it in terms of costs and times performance through key performance indicators (KPI).

• Language: English
• Keywords: civil engineering, master thesis, BIM, construction management, construction works, progress monitoring, earned value analysis, machine learning
• Work type: Master's thesis/paper
• Typology: 2.09 - Master's Thesis
• Organization: FGG - Faculty of Civil and Geodetic Engineering
• Place of publishing: Ljubljana
• Publisher: [I. G. Rodrigues]
• Year: 2022
• Number of pages: XVI, 91 str.
• PID: 20.500.12556/RUL-141383-074dedb7-5d5b-b327-27fd-757a115f4250
• UDC: 004.85:69-5(043.3)
• COBISS.SI-ID: 126108675
• Publication date in RUL: 29.09.2022

Secondary language

• Language: Slovenian
• Title: Napredno upravljanje spremljave napredka del z okoljem Bexel Manager : magistrsko delo št.: 236/II. GR-BIM

Abstract

Številni mednarodni organi in zdrženja vidijo digitalizacijo gradbenega sektorja kot neizogibno in bistveno za napredek in trajnost arhitekturne, inženirske in gradbene industrije. Prednosti digtalizacije obsegajo od izboljšanja trenutnih praks do integracije prelomnih orodij in tehnologij, ki omogočajo nastanek novih in izboljšanih procesov. Proces spremljanja napredka gradnje je bistveni del gradbenih projektov, ki analizira in upravlja izvedbo del, kar je ključnega pomena pri preprečevanju prekoračitve rokov in stroškov ter na sploh za učinkovito izvedbo projektov. Eden od glavnih vidikov učinkovitega projektnega vodenja, ki omogoča boljši proces odločanja, je zmožnost analiziranja neskladij v informacijah o izvedenem in načrtovanem napredku ter jih na jasen način skomunicirati z drugimi deležniki. Ta študija se osredotoča na raziskovanje avtomatizacije spremljane napredka gradnje z identifikacijo novih tehnologij in metod za pridobivanje in uporabo potrebnih informacij in kako obdelati te informacije za analizo prisluižene vrednosti EVA. Študija se osredotoča tudi na analizo zamud pri gradbenem projektu in analizo načinov, kako nadzorovati njegovo uspešnost in izkoriščanje prednosti integracije informacijskega modeliranja stavb (BIM), orodij in programske opreme za vodenje projektov. Disertacija vključuje zasnovo ogrodja z uporabo BIM in programske opreme za vodenje projektov Bexel Manager za spremljanje napredka gradnje in gprimer uporabe, ki omogoča presojo glede na stroškovno in časovno uspešnost z uporabo ključnih kazalnikov (KPI).

• Keywords: gradbeništvo, magistrska dela, GR, BIM, vodenje projektov, gradbena dela, strojno učenje, analiza EVA, spremljanje napredka