1. Projektni management prometne infrastrukture : izgradnja protihrupnih ograj na avtocestah v Republiki SlovenijiMetka Celestina Češnovar, 2025, master's thesis Abstract: Magistrsko delo se osredotoča na načine vodenja projektov pri izgradnji avtocestne infrastrukture v RS, pri čemer se dela primerjava s procesi, ki jih opredeljuje knjiga "Project Management Body of Knowledge Guide – Sixth Edition". Kot primer projekta je podan projekt izgradnje protihrupnih ograj, ki se postavljajo na avtocestah v Sloveniji. Glavni cilj je podrobno predstaviti praktično uporabo projektnega managementa na praktičnem primeru ter poudariti ključno vlogo discipline projektnega managementa pri uspešni izvedbi gradbenih projektov v Sloveniji. Raziskava, narejena pri vsebini magistrskega dela, bo preverila hipotezo o vplivu obstoječe zakonodaje na spodbujanje izvajanja infrastrukturnih projektov v skladu z načeli priročnika Project Management Body of Knowledge (PMBOK). S tem ciljem bomo analizirali veljavno zakonodajo, preverili njeno skladnost s standardi PMBOK ter ocenili doslednost in morebitna odstopanja. Metode, uporabljene v raziskavi, vključujejo analizo zakonodaje, primerjavo s standardi PMBOK ter študijo primerov izvedenih infrastrukturnih projektov. Hkrati bomo proučili, ali uporaba omenjenih procesov, zlasti načrtovanje kakovosti, vpliva na izvedbo projekta izgradnje protihrupnih ograj na avtocesti v okviru pričakovanega. Rezultati magistrskega dela potrdijo obe hipotezi in cilji so doseženi. Uporaba projektnega managementa za infrastrukturni projekt poveča učinkovitost na vseh ravneh ter omogoča boljše vodenje projektov, rezultati pa lahko pripomorejo k povečanju pomena implementacije teh procesov na področju izgradnje infrastrukture in odpirajo možnosti za projektni pristop na tem področju. Magistrsko delo lahko služi kot vodič za podobne primere pri izgradnji državne infrastrukture, saj so procesi in zakonodaja podobni in omogočajo izvedbo drugih projektov z nekaterimi prilagoditvami.
Keywords: projektni management, prometna infrastruktura, protihrupne ograje, projektno vodenje, tveganja, stroški
Published in ReVIS: 15.04.2025; Views: 99; Downloads: 2
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2. Bridging perceived and actual data quality : automating the framework for governance reliabilityTomaž Podobnikar, 2025, original scientific article Abstract: The discrepancy between perceived and actual data quality, shaped by stakeholders’ interpretations of technical specifications, poses significant challenges in governance, impacting decision-making and stakeholder trust. To address this, we introduce an automated data quality management (DQM) framework, implemented through the NRPvalid toolkit, as a standalone solution incorporating over 100 assessment tools. This framework strengthens data quality evaluation and stakeholder collaboration by systematically bridging subjective perceptions with objective quality metrics. Unlike traditional producer–user models, it accounts for complex, multi-stakeholder interactions to improve data governance. Applied to planned land use (PLU) data, the framework significantly reduces discrepancy, as quantified by error score metrics, and directly enhances building permit issuance by streamlining interactions among administrative units, municipalities, and investors. By evaluating, refining, and seamlessly integrating spatial data into the enterprise spatial information system, this scalable, automated solution supports constant data quality improvement. The DQM and its toolkit have been widely adopted, promoting transparent, reliable, and efficient geospatial data governance.
Keywords: perceived and actual data quality, data quality management, DQM, quality assurance/quality control, QA/QC, spatial data quality, data quality standards, data governance, planned land use, automation, uncertainty management, geospatial
Published in ReVIS: 14.04.2025; Views: 95; Downloads: 0
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3. A framework for bridging perceived and actual quality through automation : strengthening data reliability and governanceTomaž Podobnikar, 2025, other component parts Abstract: Following spatial data capture, stakeholders often invest significant resources to meet technical specifications. This challenge arises largely from varying interpretations of established standards, resulting in data that fails to meet the requirements for ingestion into the enterprise geospatial ecosystem. A key issue lies in the discrepancy between perceived data quality – how stakeholders understand or interpret the performance of the data, which is aligned with technical specifications – and actual data quality, which reflects objective performance when properly measured. The proposed data quality management (DQM) framework addresses this discrepancy by focusing on key aspects of spatial data quality, with an automated program playing a central role in bridging this divide. The framework enhances stakeholder communication and significantly improves the reliability of data governance by providing a comprehensive evaluation of data quality. This evaluation with the outputs combining error presentation through statistics, georeferenced files, and visualization enables rapid interpretation and error resolution. When applied to planned land use (PLU) data, this solution improved efficiency, enhanced overall data quality, and ensured seamless integration into the enterprise Spatial information system. This resulted in a higher level of maturity in data quality management.
Keywords: quality assurance/quality control (QA/QC), continuous process improvement, spatial data quality, data steward, data governance, planned land use data, perceived vs. actual data quality, geospatial, data quality management (DQM), uncertainty management
Published in ReVIS: 14.04.2025; Views: 88; Downloads: 0
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10. Applying supply chain management practices : case study on NRG (bakery and coffee bar), Saudi ArabiaBasem Thabit, undergraduate thesis Abstract: Supply Chain Management (SCM) is a complicated subject, which is a significance indicator of success or failure of any manufacturing enterprise. Supply Chain Management is a set of facilities that produce raw inputs (materials), transform them into Semi-finished product and then final output (products), and deliver the products to customers through a distribution system. The management of the supply chain and the roles of various actors involved differ from industry to industry and company to company.
It is absolutely essential for executives of manufacturing enterprises to be thoroughly aware about all the essential components of supply chain management and understand the impact that it might apply in the overall efficiency of the organization. This paperwork attempts to provide the reader an overview of supply chain management applied on a small food industry company Called NRG. It presents the main ideas of supply chain through some real-life practical activities for bigger Understanding of supply chain management.
This research is the result of years of studies of international business and sustainable management at the prestigio reputable International Business School of Ljubljana. In this report, a small company, NRG Brewing Co., is used as a case study to transfer my theoretical knowledge of the concepts acquired at IBS regarding supply chain management to NRG. Although this report displays several objects as a problem/solution. It's not a collection of everything I've learned in my academic career at IBS, but it's what's been found as necessary for this case study.
NRG Brewing Co. is a small company in the city of Jeddah (Saudi Arabia). Most of the information that would otherwise be confidential is now available for research because of this report and perhaps also to improve the small business itself. As a result, this work is an attempt to educate other observers on the idea of entrepreneurship in order to enter and find their nish through the lens of this case study; where they can use raw data to develop their business feasibility studies and the like.
Keywords: supply chain management, food industry, supply chain tools, NRG
Published in ReVIS: 13.12.2024; Views: 383; Downloads: 2
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