Lifecycle Management in the Smart City Context: Smart Parking Use-Case
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Lifecycle management enables enterprises to manage their products, services and product-service bundles. IoT and CPS have made products and services smarter by closing the loop of data across different phases of lifecycle. Similarly, CPS and IoT empower cities with real-time data streams from heterogeneous objects. Yet, cities are smarter and more powerful when relevant data can be exchanged between different systems across different domains. From engineering perspective, smart city can be seen as a System of Systems composed of interrelated/interdependent smart systems and objects. To better integrate people, processes, and systems in the smart city ecosystem, this paper discusses the use of Lifecycle Management in the smart city context. Considering the differences between ordinary and smart service systems, this paper seeks better understanding of lifecycle aspects in the smart city context. For better understanding, some of the discussed lifecycle aspects are demonstrated in a smart parking use-case.
KeywordsProduct Lifecycle Management Service Lifecycle Management Closed loop lifecycle management System of Systems Smart city
Lifecycle Management is a concept  that evolved in 1990 s to improve several engineering aspects of an enterprise to manage its products across their lifecycles . As per Li et al. , Product Lifecycle Management (PLM) is ideally used to manage the knowledge intensive process consisting mainly of market analysis, product design and process development, product manufacturing, distribution, product in use, post-sale service, and recycling. Despite what its name implies, PLM is not only about manufactured products; Stark  extends the definition of “product” to include services, package of services or a bundle of products and services. Isaksson et al.  also see “service” as part of the wider concept of “product”.
The transformation from product-oriented to more service-oriented economies is part of a complete “servitization” revolution, with more than 70% of global workers engaged in service tasks . Therefore, traditional product-centric sectors evolve into service-centric sectors in order to meet the new challenges, with the aim to put customers and users at the center of their business models . Through servitization, companies seek unique selling proposition for their products, in which the physical artifact is extended by a surrounding provision of services, thus defining the concept of Product–Service System (PSS) .
The advancement of ICT and the evolvement of Internet of Things (IoT) and Cyber Physical Systems (CPS) have made ordinary products smarter. Kiritsis  argues that smart products allow monitoring new parameters of the product and its environment along different phases of lifecycle. Similarly, IoT and CPS have an enabling role in public services in the city environment, and can exist in many forms . The simplest form of CPS is the form of single objects, like sensors and actuators that collect data and execute commands respectively. CPS can also be in the form of smart systems that address domain-specific issues, like transportation, parking, energy, lightening, etc.
As it was proposed in previous research in [12, 13, 14], and in line with ambitions of many cities and states around the world, there is a need for a more holistic vision of smart city as a complete ecosystem. This paper carries on the proposed lifecycle approach to ensure systematic involvement and seamless flow of information between different stakeholders of the smart city ecosystem. Nevertheless, this holistic vision of smart city implies interrelations and interdependence between multiple smart systems that in many cases are independently developed, operated and managed . Hence this paper proposes a step further to extend lifecycle functionalities to smart cities, in order to exchange not only generated data but also system data, versions, variants and business processes. This research aims to understand some lifecycle aspects in the smart city context, considering some features like heterogeneity of data sources, interdependence between smart systems and integration between cyber and physical components.
The remainder of this paper consists of four sections. Section 2 presents the different types of lifecycle management in the manufacturing and servitization context. Section 3 projects lifecycle management aspects on smart city systems and explains the proposed meaning of different lifecycle components and functionalities in the smart city context. Section 4 demonstrates the lifecycle approach in a smart parking use-case. Section 5 includes discussion and future work.
2 Lifecycle Management in Manufacturing and Servitization Context
Scope of lifecycle management based on definitions of product, service and PSS.
An output that results from a process. Products can be tangible or intangible, a thing or an idea, hardware or software, information or knowledge, a process or procedure, a service or function, or a concept or creation (ISO 9001:2000) 
An activity done for others with an economic value and often done on a commercial basis 
An extended product, where the product is a complex result of tangible and intangible components 
3 Lifecycle Management in the Smart City Context
3.1 Smart City Context
Smart city is a composition of smart objects, smart systems, and smart services that focus on problems and issues that arise in service sectors, like transport, logistics, energy, waste management [18, 19]. Yet, smart city as a complete ecosystem goes beyond conventional product systems, service systems or PSS [20, 21]. Smart city service systems are particularly featured with being technology-intensive, information-driven, productivity-focused, customer-centric, innovative, modular, service-based, inter-disciplinary, heterogeneity, etc . Moreover, smart city is a System of Systems (SoS), where individual, heterogeneous, functional service systems are linked together and organized in a hierarchy of subsystems to realize new features/functionalities [15, 17, 27]. For example,  propose a smart waste collection system that enable dynamic scheduling and routing of waste trucks. The proposed system features data exchange between waste management, surveillance/monitoring and transportation/routing smart systems. Another example, from , a CCTV camera video stream to feed to a video processing algorithm that extracts information such as numbers of cars/people/objects in a given street. Authors propose a middleware layer for selection and discovery of the appropriate data sources.
Like other engineering systems, smart city service systems share similar lifecycle concerns , like deployability, disposability, engineerability, maintainability, operatability, procureability, producibility, etc. Yet, the SoS feature of smart city brings some more concerns. One of the concerns, the loose coupling of information sources from real-time intelligence functions (i.e. the collected data for certain smart service can be used by other smart city services); hence, sensors collecting particular data might be part of another service system other than the smart service of concern. In such a case, dependence between connected smart city service systems and traceability and trustworthiness of data across these systems should be addressed.
3.2 Smart City Lifecycle Management (SCLM)
Different aspects of Smart City Lifecycle Management (SCLM).
To allow evolutionary development of smart city, in most cases, smart city is composed of independently developed, operated and managed service systems. Therefore, SCLM has no clear phases similar to PLM/SLM; instead, each component of the smart city has its own lifecycle; and, smart city components can be at different phases - BOL, MOL and EOL - in the same time. Therefore, the lifecycle of smart city is a lifecycle of lifecycles
Bill of Materials (BOM)
BOM is a hierarchical structure showing the components that make up the end item . The end item in this case can be a smart city service system or a smart city SoS. In the smart city context, smart objects can be repurposed and reused . Therefore, BOM in the smart city context should allow for loose-coupling, modularity, composability, scalability, interdependency and dynamic complexity [24, 25]
The interdependence between different smart systems in the smart city context, as detailed in hierarchy structure of BOM, gives the right to interdependent systems to exchange product/service/system data that should be generated and used across lifecycle phases. Archiving and traceability requirements vary from one industry to another. Smart Object/Service/System data can be in various states, including in-work, in-process, in-review, released, as-designed, as-planned, as-built, as-installed, as-maintained, and as-operated 
Ownership and Rights
Ownership in the smart city context is an important issue. In light of heterogeneity, repurposing and reusing of data sources, certain components can belong to multiple smart systems. Due to the dynamic complexity of smart city, rights may change during lifecycle. Rights include rights to access, create and modify data, and also rights to approve and promote
Policies and Regulations
Smart city is subject to many policies and regulations related to the different utilities infrastructure, public services and applications. Cyber security, resiliency of ICT connectivity infrastructure and user data privacy are of absolute importance
Versions, Variants and Options
During SCLM phases, smart city components can be modified or upgraded, particularly software components. Smart city components can have multiple versions, options, variants, releases and alternatives
Processes include problem report, engineering change process and enterprise notification process. For these processes, it’s absolutely important to define actors and roles. In the smart city context, processes include notifications, verifications and approvals between actors from different domains
4 Smart Parking: Use-Case
To better understand some of the abovementioned SCLM aspects, this section carries on the use-case, presented in , for smart parking system. The proposed scenario was examined in collaboration with the on-going H2020 project named “bIoTope”1 to use the O-MI/O-DF standards to exchange data between different nodes in the proposed smart parking system. Meanwhile, Aras Innovator® was used to examine some lifecycle management functionalities in the proposed case. This paper focuses only on the lifecycle aspect of the smart parking system.
Versions, Variants and Options.
Aras Innovator® was used to build the BoM at the BoL; manage PRs, ECR and ECN processes and accordingly update the BOM, during MoL. Hence, Aras Innovator® can be used as a master tool to manage all lifecycle aspects, across different phases, including BOM development and changes in case of new versions and/or variants.
5 Discussion and Future Work
As lifecycle management has enabled large enterprises to better manage their products, services and product-service bundles; similarly, lifecycle management can enable city operators to better manage public services and supporting infrastructure. The wide spread of IoT technologies and CPS systems in the city environment closes lifecycle data/information loops across different phases and between heterogeneous objects/systems. From engineering perspective, smart city as a service system has some features like heterogeneity and loose-coupling of data sources; complexity of systems and composability of parts; customer oriented and service based systems. For these particular features, this paper proposed Smart City Lifecycle Management (SCLM) to be used in the smart city context, instead of the general PLM and SLM.
This paper has described some aspects of SCLM, namely Phases; Bill of Materials (BOM); Object/Service/System data; Ownership and Rights; Policies and Regulations; Versions, Variants and Options; and, Processes. For better understanding, some SCLM aspects were demonstrated through a smart parking use-case.
The vision of applying lifecycle management in the smart city domain(s) is to better integrate people, processes, and systems; and assure information consistency, traceability, and long-term archiving. To achieve such a holistic vision of complete smart city ecosystem, there is a need for two types of data to be exchanged. First, data collected from heterogeneous data sources that can be used in different domains. Second, system data that include BOM, versions, variants, stats and other lifecycle related data. Future work will include expanding the use-case to ensure exchange of the two types of data between different systems in the smart city. Another required effort is to build general smart city BOM that includes as much as possible categories and parts that compose a smart city.
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