In recent years, digital twins (DT) have gained traction in enhancing operation and maintenance procedures across various industrial sectors, such as manufacturing, energy, and aerospace. Yet their utilization remains more limited in the built environment. The aim of this paper is to investigate the current conceptualizations of DTs within the context of the Swedish built environment, shedding light on the maturity of DTs for built assets and the key value drivers influencing their adoption. The study reveals that DTs for built assets are in early developmental stages, lacking the maturity required to encompass the full spectrum of attributes inherent in a conventional DT. Despite stakeholders labeling these initiatives as DTs, our findings indicate a closer alignment with the concept of BIM-based digital models. This observation resonates with existing literature, highlighting the absence of a universally accepted definition for DTs. Within the Operations and Maintenance (O&M) phase, we have identified the following four primary value drivers shaping the adoption of BIM-based DTs: 1) commercial transparency and trusted transactions, 2) efficiency and cost reduction in routine operations, 3) operational continuity, and 4) added services. These findings contribute to the ongoing discourse surrounding the convergence of BIM and DTs, offering insights into the practical implications and value propositions that drive the integration of these technologies within the built environment. / Under de senaste åren har användningen av digitala tvillingar (DT:ar) blivit allt vanligare för drift- och underhållsförfaranden inom olika industrisektorer, såsom tillverkning, energi och flyg- och rymdindustrin. Användningen är dock fortfarande begränsad inom bygg- och fastighetsbranschen. Syftet med denna studie är att undersöka de nuvarande konceptualiseringarna av DT:ar inom ramen för den svenska fastighetsbranschen, belysa mognaden hos tekniken och undersöka de viktigaste värdedrivande faktorerna som påverkar utvecklingen och användningen i drift- och underhåll av fastigheter. Studien visar att användningen av DT:ar i fastighetsbranschen befinner sig i ett tidigt utvecklingsstadie och att begreppet inom industrin inte helt överensstämmer med visionen kring konceptet. Resultaten stämmer överens med befintlig litteratur, som belyser avsaknaden av en allmänt accepterad definition för DT:ar. I drift- och underhållsfasen har vi också identifierat följande fyra primära värdedrivande faktorer för användingen av BIM-baserade DT:ar: 1) kommersiell transparens och pålitliga transaktioner, 2) kostnadsbesparingar i rutinmässigt drift- och underhållsarbete, 3) kontinuerligt driftsarbete, samt 4) tilläggstjänster. Resultaten från denna studie bidrar till den pågående diskussionen om koncepten BIM och DT, och ger ytterligare insikt i de praktiska värdeskapande processerna och belyser användningsområden av DT:ar i fastighetsbranschen.

The concept of a digital twin was originated by Nasa who used advanced simulation techniques during their first moon landing but has since evolved and the areas of application have broadened considerably. In recent years, the phenomenon has received a lot of attention in relation to the real estate industry in particular, which have been followed by plenty of research into digital twins within the informatics field. However, there is still a great lack of studies that focus on the supplier’s perspective of the implementation. Therefore, the aim of this study is to identify the root causes of perceived challenges with digital twins from a supplier perspective by identifying what gives rise to problems and difficulties with the implementation of digital twins. This research contributes empirically by delving into the supplier's viewpoint, enhancing theoretical understanding through the identification of underlying causes, and practically by proposing ways to manage these foundational challenges effectively. The findings underscore the importance of addressing the knowledge gap between suppliers and clients early in the implementation process, recommending organizational and technical strategies to optimize digital twin utilization and management.

This thesis provides insights into the feasibility of managing product requirements in a concept leveraging an object-centric information model. The aim of this concept is to provide efective management of product requirements in the context of rising volume and complexity of requirements. Firstly, benefts and challenges between the current document-centric way of managing requirements and the novel object-centric concept for managing requirements are mapped and presented. Secondly, the organizational prerequisites necessary for adopting the object-centric product requirement applicability concept are explored and insights into how this transition can be facilitated with knowledge management are generated. Thirdly, the accuracy of this novel concept is evaluated in terms of applying the correct requirements onto products and not more nor less. The methods in this thesis are of mixed nature and combine qualitative and quantitative data sets. The quantitative data was collected from the analysis of the requirement applicability concept and the previous tests of the same concept on diferent products at Company X. The analysis of quantitative data for concept accuracy revolved around interpreting the nature of negative- and positive delta values following an automatic application of requirements in the novel object-centric concept. The former of these delta values relates to relevant requirements missing onto products whereas the latter relates to non-relevant requirements being applied following the automatic application. The qualitative data was collected mainly through a comprehensive literature review, semi-structured interviews, a workshop, meetings, Company X documents and observations. The analysis of qualitative data was done via an adaptation of two frameworks: The Multi-Dimensional Framework for Digital Transformation by Hanelt et al, 2021 and The Process of Organizational Knowledge Creation by Nonaka, 1994. These adapted frameworks were leveraged to generate insights into the necessary organizational prerequisites for adopting the object-centric product requirement applicability concept. While benefts and challenges exist between the two diferent ways of managing requirements, these are not weighted and thus no defnitive conclusion on best practice is drawn. Instead these fndings provide organizations a reference point for evaluating each approach in relation to their own circumstances. Some of the prerequisites identifed as critical for adopting an object-centric product requirement applicability model are a digital library of requirement specifcations that are convertible to object-centric data format, and a suitable PLM strategy chosen by the Top Management Teams that is aiding the development of the concept. As for knowledge management in order to transition to the new concept, fndings show that standardized knowledge creation and knowledge exchange is necessary as well as developing centralized knowledge databases. Lastly, the quantitative fndings indicate that the applicability concept is accurate, but that there is a need for additional iterations with model improvements where the negative delta can be eliminated and the positive delta held at an acceptable level. / Den här studien ger insikter om genomförbarheten av att hantera produktkrav i ett koncept som utnyttjar en objektcentrerad informationsmodell. Syftet med detta koncept är att tillhandahålla efektiv hantering av produktkrav i samband med att de ökar i volym samt komplexitet. Studien kartlägger först fördelar och utmaningar mellan det nuvarande dokumentcentrerade sättet att hantera krav och det nya objektcentrerade konceptet. Även de organisatoriska förutsättningar som krävs för att införa det objektcentrerade produktkravskonceptet undersöks i samband med hur denna övergång kan underlättas med hjälp av kunskapshantering. Slutligen så utvärderas det objektcentrerade konceptet för kravapplicering beträfande hur exakt konceptet är i att applicera rätt krav på produkter. Metodiken i denna studie kombinerar kvalitativa och kvantitativa datamängder. Den kvantitativa datan samlades in från analys av kravappliceringskonceptet samt de tidigare testerna av konceptet på olika produkter som gjorts av Företag X. Analysen av kvantitativ data för hur exakt konceptet är i att applicera rätt krav kretsar kring att förstå grundorsakerna till de negativa och positiva deltavärden som uppkommit efter en automatisk applicering av krav i det nya objektcentrerade konceptet. Det negativa deltavärdet relaterar till nödvändiga krav som saknas på produkter, medan det positiva deltavärdet avser icke-relevanta krav som har applicerats efter en systemförfrågan och automatisk applicering av krav. Den kvalitativa datan samlades huvudsakligen in genom en omfattande litteraturstudie, semistrukturerade intervjuer, workshops, möten, dokument från Företag X och observationer. Analysen av kvalitativ data gjordes via en anpassning av två vetenskapliga ramverk: The Multi-Dimensional Framework for Digital Transformation av Hanelt et al, 2021 och The Process of Organizational Knowledge Creation av Nonaka, 1994. Dessa anpassade ramverk utnyttjas för att generera insikter i de nödvändiga organisatoriska förutsättningarna som krävs för att införa det objektcentrerade kravappliceringskonceptet i en organisation. Fördelar och utmaningar med de två olika sätten att hantera krav viktades inte i denna studie, därför dras ingen defnitiv slutsats om bästa praxis. Istället ger dessa fynd en referenspunkt till organisationer att utvärdera bästa praxis i förhållande till sina egna omständigheter. Några av förutsättningarna identiferade som kritiska för att tillämpa en objektcentrerad produktkravappliceringsmodell är ett digitalt bibliotek av kravspecifkationer som är konverterbara till objektcentrerat dataformat, samt en PLM-strategi införd av de högsta ledningsgrupperna som hjälper till med stödja det objekcentrerade konceptet för produktkravsapplicering. Vad gäller kunskapshantering för att övergå till det nya konceptet visar resultaten att standardiserad kunskapsskapande och utbyte av kunskap är nödvändigt, samt utvecklingen av centraliserade kunskapsdatabaser. Slutligen indikerar de kvantitativa resultaten att tillämpningskonceptet är noggrant, men att ytterligare iterationer med modellförbättringar behövs där den negativa deltan kan elimineras och där den positiva deltan hålls på en acceptabel nivå.

<p>To apply Industry 4.0 technologies and accelerate the modernization of continuous pharmaceutical manufacturing, digital twin (DT) and advanced process control (APC) strategies are indispensable. The DT serves as a virtual representation that mirrors the behavior of the physical process system, enabling real-time monitoring and predictive capabilities. Consequently, this facilitates the feasibility of real-time release testing (RTRT) and enhances drug product development and manufacturing efficiency by reducing the need for extensive sampling and testing. Moreover, APC strategies are required to address variations in raw material properties and process uncertainties while ensuring that desired critical quality attributes (CQAs) of in-process materials and final products are maintained. When deviations from quality targets are detected, APC must provide optimal real-time corrective actions, offering better control performance than the traditional open loop-control method. The progress in DT and APC is beneficial in shifting from the paradigm of Quality-by-Test (QbT) to that of Quality-by-Design (QbD) and Quality-by-Control (QbC), which emphasize the importance of process knowledge and real-time information to ensure product quality.</p> <p><br></p> <p>This study focuses on four key elements and their applications in a continuous dry granulation tableting process, including feeding, blending, roll compaction, ribbon milling and tableting unit operations. Firstly, the necessity of a digital infrastructure for data collection and integration is emphasized. An ISA-95-based hierarchical automation framework is implemented for continuous pharmaceutical manufacturing, with each level serving specific purposes related to production, sensing, process control, manufacturing operations, and business planning. Secondly, investigation of process analytical technology (PAT) tools for real-time measurements is highlighted as a prerequisite for effective real-time process management. For instance, the measurement of mass flow rate, a critical process parameter (CPP) in continuous manufacturing, was previously limited to loss-in-weight (LIW) feeders. To overcome this limitation, a novel capacitance-based mass flow sensor, the ECVT sensor, has been integrated into the continuous direct compaction process to capture real-time powder flow rates downstream of the LIW feeders. Additionally, the use of near-infrared (NIR)-based sensor for real-time measurement of ribbon solid fraction in dry granulation processes is explored. Proper spectra selection and pre-processing techniques are employed to transform the spectra into useful real-time information. Thirdly, the development of quantitative models that establish a link between CPPs and CQAs is addressed, enabling effective product design and process control. Mechanistic models and hybrid models are employed to describe the continuous direct compaction (DC) and dry granulation (DG) processes. Finally, applying APC strategies becomes feasible with the aid of real-time measurements and model predictions. Real-time optimization techniques are used to combine measurements and model predictions to infer unmeasured states or mitigate the impact of measurement noise. In this work, the moving horizon estimation-based nonlinear model predictive control (MHE-NMPC) framework is utilized. It leverages the capabilities of MHE for parameter updates and state estimation to enable adaptive models using data from the past time window. Simultaneously, NMPC ensures satisfactory setpoint tracking and disturbance rejection by minimizing the error between the model predictions and setpoint in the future time window. The MHE-NMPC framework has been implemented in the tableting process and demonstrated satisfactory control performance even when plant model mismatch exists. In addition, the application of MHE enables the sensor fusion framework, where at-line measurements and online measurements can be integrated if the past time window length is sufficient. The sensor fusion framework proves to be beneficial in extending the at-line measurement application from just validation to real-time decision-making.</p>

<p>Modern reactors promise enhanced capabilities not previously possible including integration with the smart grid, remote monitoring, reduced operation and maintenance costs, and more efficient operation. . Modern reactors are designed for installation to remote areas and integration to the electric smart grid, which would require the need for secure undisturbed remote control and the implementation of two-way communications and advanced digital technologies. However, two-way communications between the reactor facility, the enterprise network and the grid would require continuous operation data transmission. This would necessitate a deep understanding of cybersecurity and the development of a robust cybersecurity management plan in all reactor communication networks. Currently, there is a limited number of testbeds, mostly virtual, to perform cybersecurity research and investigate and demonstrate cybersecurity implementations in a nuclear environment. To fill this gap, the goal of this thesis is the development of a real-time cyber-physical testbed with real operational and information technology data to allow for cybersecurity research in a representative nuclear environment. In this thesis, a prototypic cyber-physical testbed was designed, built, tested, and installed in PUR-1. The cyber-physical testbed consists of an Auxiliary Moderator Displacement Rod (AMDR) that experimentally simulates a regulating rod, several sensors, and digital controllers mirroring Purdue University Reactor One (PUR-1) operation. The cyber-physical testbed is monitored and controlled remotely from the Remote Monitoring and Simulation Station (RMSS), located in another building with no line of sight to the reactor room. The design, construction and testing of the cyber-physical testbed are presented along with its capabilities and limitations. The cyber-physical testbed network architecture enables the performance of simulated cyberattacks including false data injection and denial of service. Utilizing the RMSS setup, collected information from the cyber-physical testbed is compared with real-time operational PUR-1 data in order to evaluate system response under simulated cyber events. Furthermore, a physics-based model is developed and benchmarked to simulate physical phenomena in PUR-1 reactor pool and provide information about reactor parameters that cannot be collected from reactor instrumentation system.</p>