Business Process Modeling and Design of Smart Home Service System

Xu, Hanchuan; Xu, Yang; Li, Quanlong; Lv, C. Furong; Ying, Liu

doi:10.1109/ijcss.2012.15

Cited by 8 publications

(7 citation statements)

References 4 publications

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“…This is important as IoT research has so far mainly focused on technical and engineering challenges (Atzori et al, 2010;Kortuem et al, 2010), simple scenarios, and individual smart things (Oberländer et al, 2018;Püschel et al, 2016). The few works that allow for the modelling of IoTenabled scenarios are technical and restricted to specific domains (eg, Christoulakis & Thramboulidis, 2016;De et al, 2011;Meyer et al, 2013;Xu et al, 2012). For the same reasons, the DSML increases service-related knowledge.…”

Section: Discussionmentioning

confidence: 99%

“…As has become evident during our study and as we will justify in the evaluation section based on selected conceptual modelling approaches, existing works neither fully account for the characteristics of SSS nor for concepts enabled by the IoT. The same holds for modelling approaches from the IoT domain, most of which focus on technical details, are restricted to distinct domains, or can only handle small‐scale scenarios (Christoulakis & Thramboulidis, ; De, Barnaghi, Bauer, & Meissner, ; Meyer, Ruppen, & Magerkurth, ; Oberländer et al, ; Xu, Xu, Li, Lv, & Liu, ). Although the value of these approaches is indisputable, we do not know of any approach located at the intersection of the service and the IoT domains.…”

Section: Introductionmentioning

confidence: 95%

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Capturing smart service systems: Development of a domain‐specific modelling language

Huber

Püschel

Röglinger

2019

Information Systems Journal

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Over the last years, the nature of service has changed owing to conceptual advances and developments in information technology. These developments have given rise to novel types of service and smart service systems (SSS), ie, resource configurations capable of learning, dynamic adaptation, and decision making. Currently, the internet of things (IoT) is turning physical objects into active smart things, bridging the gap between the physical and the digital world. Smart things advance SSS as they observe the physical environment, access local data, immerse into individuals' everyday lives and organizational routines. In line with the emergent nature of both phenomena, the impact of the IoT on SSS yet needs to be explored. Building the basis for explanatory and design‐led research and for the analysis and design of SSS, a means for the conceptual modelling of SSS that accounts for novel IoT‐enabled concepts is in high need. Hence, we designed, demonstrated, and evaluated a domain‐specific modelling language (DSML) for SSS. We evaluated the DSML by using it in the modelling of real‐world scenarios from all functional IoT domains, by submitting it to the scrutiny of industry experts, by discussing it against generic DSML requirements, and by analysing to what extent it meets domain‐specific design objectives compared with competing artefacts. To demonstrate the DSML, we included a complex real‐world scenario centred around the Nest Learning Thermostat.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 95%

Capturing smart service systems: Development of a domain‐specific modelling language

Huber

Püschel

Röglinger

2019

Information Systems Journal

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“…The term SOA refers to a networked, standards-based interface architecture that enables the convergence of business processes as a linked service and a roadmap to innovation. In the classical model of SOA [20], there are clearly identified three main actors: service provider, service consumer and registry of services [21].…”

Section: Background and Related Workmentioning

confidence: 99%

“…The behavior of processes, inefficiencies, anomalies and inconsistencies in the processes can be perceived by analysts with the help of BPMN diagrams [28]. Here a few examples from literature are Smart home-procurement process BPMN [20] Smart home temperature sensing and management Unified Modelling Language (UML) [21] Temperature sensors management UML [28] Patient health, appointment, ambulance record BPMN [29] Smart grid BPMN [30] Smart pills box Flow chart [31] Smart medicine box Flow chart [32] Noise level management Flow chart We agree with the authors of [33] to develop mathematical frameworks along with graphical models to explain the main components of smart services, the properties of these components and the relationships between them. According to this approach a smart service 'S' can be represented in the form of relation as in the following Eq.…”

Section: Business Process Modeling and Languagesmentioning

confidence: 99%

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A Process Oriented Integration Model for Smart Health Services

Gondal¹,

Shahzad²,

Jaffar³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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Cities are facing challenges of high rise in population number and consequently need to be equipped with latest smart services to provide luxuries of life to its residents. Smart integrated solutions are also a need to deal with the social and environmental challenges, caused by increasing urbanization. Currently, the development of smart services' integrated network, within a city, is facing the barriers including; less efficient collection and sharing of data, along with inadequate collaboration of software and hardware. Aiming to resolve these issues, this paper recommended a solution for a synchronous functionality in the smart services' integration process through modeling technique. Using this integration modeling solution, at first, the service participants, processes and tasks of smart services are identified and then standard illustrations are developed for the better understanding of the integrated service group environment. Business process modeling and notation (BPMN) language based models are developed and discussed for a devised case study, to test and experiment i.e., for remote healthcare from a smart home. The research is concluded with the integration process model application for the required data sharing among different service groups. The outcomes of the modeling are better understanding and attaining maximum automation that can be referenced and replicated.

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