It is becoming clear that the project management practice must embrace sustainability in order to develop into a 'true profession' (Silvius et al., 2012). In project management, sustainability can be gained in both the product of the project and in the process of delivering the product. (Gareis et al., 2010) Nine sustainability principles have been identified that should be implemented in the project management practice. These nine principles are: (1) values and ethics; (2) holistic approach; (3) long term view; (4) large scale; (5) risk reduction; (6) participation; (7) accountability; (8) transparency; (9) stakeholder interest. In a case study it is researched which project and program management roles can exert an influence to have the sustainability principles implemented in the project management practice and how they can accomplish this implementation.
Europe faces significant challenges in maintaining its aging infrastructure due to extreme weather events, fluctuating groundwater levels, and rising sustainability demands. Ensuring the safety and longevity of infrastructure is a critical priority, especially for public organizations responsible for asset management. Digital technologies have the potential to facilitate the scaling and automation of infrastructure maintenance while enabling the development of a data-driven standardized inspection methodology. This extended abstract is the first phase of a study that examines current structural inspection methods and lifecycle monitoring activities of the Dutch public and private entities. The preliminary findings presented here indicate a preference for data-driven approaches, though challenges in data collection, processing, personnel resources and analysis remain. The future work will experiment integrating advanced tools, such as artificial intelligence supported visual inspection, on the existing inspection datasets of these authorities for quantifying their readiness levels to the fully automated digital inspections.
Shima Mousavi Gargari - Ph.D. wordt op 14 november geïnstalleerd als bijzonder lector Reliable Power Supply bij HAN University of Applied Sciences. In haar rol binnen het Lectoraat Balanced Energy Systems ligt de focus op assetmanagement met als titel van haar inauguratiespeech: Powering the future: The essential role of asset management in energy transition. U bent van harte welkom om hierbij aanwezig te zijn. Meer informatie over de installatie en het aanmeldformulier vind u hier: https://lnkd.in/eSS3C4xz. De locatie is de HAN-campus in Arnhem en het programma vindt in het Engels plaats.
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The bi-directional communication link with the physical system is one of the main distinguishing features of the Digital Twin paradigm. This continuous flow of data and information, along its entire life cycle, is what makes a Digital Twin a dynamic and evolving entity and not merely a high-fidelity copy. There is an increasing realisation of the importance of a well functioning digital twin in critical infrastructures, such as water networks. Configuration of water network assets, such as valves, pumps, boosters and reservoirs, must be carefully managed and the water flows rerouted, often manually, which is a slow and costly process. The state of the art water management systems assume a relatively static physical model that requires manual corrections. Any change in the network conditions or topology due to degraded control mechanisms, ongoing maintenance, or changes in the external context situation, such as a heat wave, makes the existing model diverge from the reality. Our project proposes a unique approach to real-time monitoring of the water network that can handle automated changes of the model, based on the measured discrepancy of the model with the obtained IoT sensor data. We aim at an evolutionary approach that can apply detected changes to the model and update it in real-time without the need for any additional model validation and calibration. The state of the art deep learning algorithms will be applied to create a machine-learning data-driven simulation of the water network system. Moreover, unlike most research that is focused on detection of network problems and sensor faults, we will investigate the possibility of making a step further and continue using the degraded network and malfunctioning sensors until the maintenance and repairs can take place, which can take a long time. We will create a formal model and analyse the effect on data readings of different malfunctions, to construct a mitigating mechanism that is tailor-made for each malfunction type and allows to continue using the data, albeit in a limited capacity.
The bi-directional communication link with the physical system is one of the main distinguishing features of the Digital Twin paradigm. This continuous flow of data and information, along its entire life cycle, is what makes a Digital Twin a dynamic and evolving entity and not merely a high-fidelity copy. There is an increasing realisation of the importance of a well functioning digital twin in critical infrastructures, such as water networks. Configuration of water network assets, such as valves, pumps, boosters and reservoirs, must be carefully managed and the water flows rerouted, often manually, which is a slow and costly process. The state of the art water management systems assume a relatively static physical model that requires manual corrections. Any change in the network conditions or topology due to degraded control mechanisms, ongoing maintenance, or changes in the external context situation, such as a heat wave, makes the existing model diverge from the reality. Our project proposes a unique approach to real-time monitoring of the water network that can handle automated changes of the model, based on the measured discrepancy of the model with the obtained IoT sensor data. We aim at an evolutionary approach that can apply detected changes to the model and update it in real-time without the need for any additional model validation and calibration. The state of the art deep learning algorithms will be applied to create a machine-learning data-driven simulation of the water network system. Moreover, unlike most research that is focused on detection of network problems and sensor faults, we will investigate the possibility of making a step further and continue using the degraded network and malfunctioning sensors until the maintenance and repairs can take place, which can take a long time. We will create a formal model and analyse the effect on data readings of different malfunctions, to construct a mitigating mechanism that is tailor-made for each malfunction type and allows to continue using the data, albeit in a limited capacity.
In dit project ontwikkelen we Herstelcirkel ++, een gezondheidscoöperatie voor mensen met (risico op) leefstijlgerelateerde aandoeningen (o.a. diabetes). Coöperatie definiëren wij open als een (maatschappelijke) onderneming of autonome organisatie waarbij de deelnemers zeggenschap hebben over hoe zij voorzien in hun behoeften door het realiseren of beheren van voorzieningen en/of diensten. Deze ontwikkeling beantwoordt de wens van mensen met leefstijlaandoeningen (meer regie over de eigen gezondheid) en de door professionals gevoelde noodzaak om de eerstelijnszorg toegankelijk te houden. Het uitgangspunt is dat zorg en gezondheidsbevordering zoveel mogelijk rond, door en voor mensen met vergelijkbare wensen georganiseerd kan worden, in de eigen omgeving zodat de stap naar formele zorg minder nodig is. Complementair aan formele zorg en duurzaam verankerd in een wijklandschap van gezondheidsbevordering. Ondanks Nederlandse burgerinitiatieven rond zorg en gezondheid ontstaan coöperatieve vormen van zelfhulp niet altijd en overal, vooral niet in stadswijken (met achterstandsproblematiek). Hoe kunnen professionals die in de wijk actief zijn rond zorg, gezondheid en welzijn en MKB-bedrijven die zoeken naar innovatieve dienstverlening m.b.t. voeding, beweging en coaching samen met bewoners meer coöperatieve samenwerking bewerkstelligen ten behoeve van vitaliteit? Centraal in dit project staat de doorontwikkeling van Herstelcirkel in de wijk (HCIW) een sociale innovatie die diabetes-zelfmanagementeducatie en zelfhulp combineert door groepen mensen onder begeleiding van coaching aan leefstijlverandering te laten werken. Ondanks veelbelovende resultaten na het eenjarige traject, blijkt voor het merendeel het effect niet duurzaam. Uitgangspunten project: Co-designaanpak die professionals leert kennismaken met ontwerpgerichte methoden om met en voor bewoners passende dienstverlening in de wijk te ontwikkelen die coöperatieve zelfhulp faciliteren. Versterken van positieve krachten van bewoners en wijken (‘assets’) als elementen van de sociale en fysieke leefomgeving die deelnemers in staat stellen gezondheid te bevorderen. Ontwikkeling van een coöperatie, inclusief organisatorische aspecten: samenwerking met gezondheids- en welzijnsprofessionals en duurzame verankering in de wijk.
