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The topic of sustainable affordable housing in developing countries is gaining increasing importance within international debates. The challenge is to find a balance between the concepts of sustainability and affordability in building construction within fragile contexts, overcoming basic self-made shelter solutions towards the creation of sustainable durable housing. In particular, concerning the selection of constructive technological solutions, the goal is to shift from the current decision-making process based only on economic factors to a more holistic approach based on a triple bottom line perspective, integrating economic, environmental and social sustainability. With this aim, this paper proposes a decisional support tool for contexts characterized by poor information to sustain decision-makers in identifying suitable technological solutions. The tool is based on a set of key indicators, articulated into the three pillars of sustainability. The proposed tool, conceived as scalable and replicable, is finally applied to the specific context of Mogadishu (Somalia), since it is representative of the uncertain social, political and economic nature of fragile contexts.
Nazly Atta; Anna Dalla Valle; Andrea Campioli; Davide Chiaroni; Cinzia Talamo. Construction Technologies for Sustainable Affordable Housing within Fragile Contexts: Proposal of a Decision Support Tool. Sustainability 2021, 13, 5928 .
AMA StyleNazly Atta, Anna Dalla Valle, Andrea Campioli, Davide Chiaroni, Cinzia Talamo. Construction Technologies for Sustainable Affordable Housing within Fragile Contexts: Proposal of a Decision Support Tool. Sustainability. 2021; 13 (11):5928.
Chicago/Turabian StyleNazly Atta; Anna Dalla Valle; Andrea Campioli; Davide Chiaroni; Cinzia Talamo. 2021. "Construction Technologies for Sustainable Affordable Housing within Fragile Contexts: Proposal of a Decision Support Tool." Sustainability 13, no. 11: 5928.
The present chapter aims to define: (i) new possible approaches to the IoT-based FM supply chain, introducing the IT provider as a new leading stakeholder; (ii) new potential FM organizational models, highlighting possible sourcing strategies for the provision of IoT services and infrastructure; (iii) possible implications of the IoT-based FM scenario with respect to information responsibility and ownership in the context of FM agreements; (iv) new profiles of skills and competence for facility managers, required in order to establish profitable win–win relationships with IT providers.
Nazly Atta. IoT-Based FM Scenario: Supply Chain, Organizational Models and Contracts. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications 2021, 103 -116.
AMA StyleNazly Atta. IoT-Based FM Scenario: Supply Chain, Organizational Models and Contracts. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications. 2021; ():103-116.
Chicago/Turabian StyleNazly Atta. 2021. "IoT-Based FM Scenario: Supply Chain, Organizational Models and Contracts." Tunable Low-Power Low-Noise Amplifier for Healthcare Applications , no. : 103-116.
The present chapter aims to introduce the application of IoT-based FM strategies to the case study of the new Headquarter—STATUTO 11—of eFM, co-funding company of the present Ph.D. research. With the collaboration of eFM, the IoT-based FM strategies have been applied, focusing on Workplace Management. In particular, the chapter introduces the concept of Smart Digital Workplace, which involves multi-modal real-time digital communication among employees as well as new collaborative and creative approaches to work activities.
Nazly Atta. IoT-Based FM Strategies Application: The Case of eFM Headquarter STATUTO 11. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications 2021, 89 -101.
AMA StyleNazly Atta. IoT-Based FM Strategies Application: The Case of eFM Headquarter STATUTO 11. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications. 2021; ():89-101.
Chicago/Turabian StyleNazly Atta. 2021. "IoT-Based FM Strategies Application: The Case of eFM Headquarter STATUTO 11." Tunable Low-Power Low-Noise Amplifier for Healthcare Applications , no. : 89-101.
The present chapter introduces the topics of Facility Management (FM) and Information Management (IM), analyzing in a critical way the traditional practices that currently characterize IM processes in the FM field. The chapter identifies the main emerging needs of traditional IM practices within FM, namely: real-time data availability and accessibility; network approach to information management; data analytics to improve decision making processes. Hence, Internet of Things (IoT) and Big Data paradigms are introduced as potential enablers of improvement and innovation for enhancing processes of FM data and information collection, storage and exploitation.
Nazly Atta. Information Management in FM Processes. Traditional Scenario and Future Perspectives. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications 2021, 1 -10.
AMA StyleNazly Atta. Information Management in FM Processes. Traditional Scenario and Future Perspectives. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications. 2021; ():1-10.
Chicago/Turabian StyleNazly Atta. 2021. "Information Management in FM Processes. Traditional Scenario and Future Perspectives." Tunable Low-Power Low-Noise Amplifier for Healthcare Applications , no. : 1-10.
The aim of the present chapter is to provide a literature review of the concept of Smartness in the field of built environment. The proposed literature review focuses on the urban scale, which today represents the predominant experimentation ground for ICTs application to service management, in order to extract recurring Facility Management (FM) models and processes transferable to the building scale. Moreover, the chapter introduces a critical analysis of case studies of Internet of Things (IoT) application to service management at both urban and building scales (smart cities, smart buildings and EU funded projects) in order to identify best practices of FM information management.
Nazly Atta. Smartness in the Built Environment: Smart Buildings and Smart Cities. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications 2021, 11 -35.
AMA StyleNazly Atta. Smartness in the Built Environment: Smart Buildings and Smart Cities. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications. 2021; ():11-35.
Chicago/Turabian StyleNazly Atta. 2021. "Smartness in the Built Environment: Smart Buildings and Smart Cities." Tunable Low-Power Low-Noise Amplifier for Healthcare Applications , no. : 11-35.
The present chapter aims to understand how FM-related information can be acquired in an efficient way through advanced IoT solutions. In order to reach the goal of expressing FM-related information with respect to IoT requirements, the chapter proposes a normalized taxonomy of detectable FM parameters and related sensors. The main outcome is represented by a parameter-sensor matrix, meant as support tool for FM stakeholders to face the current highly variegated technological offer by IT providers, often difficult to understand and compare.
Nazly Atta. IoT-Based Collection of FM Information: Parameters and Sensors. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications 2021, 51 -64.
AMA StyleNazly Atta. IoT-Based Collection of FM Information: Parameters and Sensors. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications. 2021; ():51-64.
Chicago/Turabian StyleNazly Atta. 2021. "IoT-Based Collection of FM Information: Parameters and Sensors." Tunable Low-Power Low-Noise Amplifier for Healthcare Applications , no. : 51-64.
The present chapter aims to propose innovative FM service strategies based on IoT integration and on the application of Sensing and Responding (S-R) models (proposed in Chap. 6), namely: remote monitoring; real-time fault detection and diagnosis; condition-based strategy; predictive and prescriptive strategies. The latter are then applied to the management of: maintenance, cleaning, waste, space and energy, identifying possible scenarios of implementation and highlighting related possible improvements at strategic and operational level.
Nazly Atta. IoT-Based FM Service Strategies and Operational Lines for Implementation. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications 2021, 77 -88.
AMA StyleNazly Atta. IoT-Based FM Service Strategies and Operational Lines for Implementation. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications. 2021; ():77-88.
Chicago/Turabian StyleNazly Atta. 2021. "IoT-Based FM Service Strategies and Operational Lines for Implementation." Tunable Low-Power Low-Noise Amplifier for Healthcare Applications , no. : 77-88.
The aim of the present chapter is to introduce the concepts of Internet of Things (IoT) and Big Data management in response to the emerging needs of traditional FM processes, as enablers of real-time data acquisition and centralized data management. An analysis of IoT technology, Big Data features and IoT Platforms functions is provided, in order to highlight their potential with respect to the optimization and innovation of current FM practices.
Nazly Atta. Internet of Things, Big Data and Information Platforms for Advanced Information Management Within FM Processes. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications 2021, 41 -49.
AMA StyleNazly Atta. Internet of Things, Big Data and Information Platforms for Advanced Information Management Within FM Processes. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications. 2021; ():41-49.
Chicago/Turabian StyleNazly Atta. 2021. "Internet of Things, Big Data and Information Platforms for Advanced Information Management Within FM Processes." Tunable Low-Power Low-Noise Amplifier for Healthcare Applications , no. : 41-49.
The chapter aims to propose FM models based on the principle of Sensing and Responding (S-R)—developed in relation to IoT capabilities—articulated with respect to two factors: the temporal dimension and the gradualism of the implementation. Hence, a functional model of IoT Platform for building FM, useful to implement the S-R models within FM processes, is proposed. In addition to the specification of the IoT technological infrastructure, the chapter outlines new possible configurations of IoT-based FM processes and organizational models.
Nazly Atta. Sensing and Responding (S-R) Models and IoT Architecture for Advanced FM Information Management. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications 2021, 65 -75.
AMA StyleNazly Atta. Sensing and Responding (S-R) Models and IoT Architecture for Advanced FM Information Management. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications. 2021; ():65-75.
Chicago/Turabian StyleNazly Atta. 2021. "Sensing and Responding (S-R) Models and IoT Architecture for Advanced FM Information Management." Tunable Low-Power Low-Noise Amplifier for Healthcare Applications , no. : 65-75.
The present chapter introduces the interpretation of results and findings from both literature case studies review (Chap. 2), highlighting emerging tendencies in Facility Management (FM) practices . Outlining and interpreting the main trends of the on-going digital transformation of the FM field, the chapter introduces four main paradigm shifts, meant as possible lines of innovation of FM practices, namely: (i) from static data to real-time data flows; (ii) from linear and siloed to integrated network-based processes; (iii) from static to adaptive systems; (iv) from a work-intensive to an information-intensive FM scenario.
Nazly Atta. FM Paradigm Shifts Enabled by ICTs. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications 2021, 37 -39.
AMA StyleNazly Atta. FM Paradigm Shifts Enabled by ICTs. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications. 2021; ():37-39.
Chicago/Turabian StyleNazly Atta. 2021. "FM Paradigm Shifts Enabled by ICTs." Tunable Low-Power Low-Noise Amplifier for Healthcare Applications , no. : 37-39.