A graph-based context-aware requirement elicitation approach in smart product-service systems

Wang, Zuoxu; Chen, Chun‐Hsien; Zheng, Pai; Li, Xinyu; Khoo, Li Pheng

doi:10.1080/00207543.2019.1702227

Cited by 78 publications

(36 citation statements)

References 36 publications

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“…Future research will also extend the system boundary by applying the MOO method to infrastructure systems including mobility, energy, water, and their nexus with the built environment. PSS consisting of context, system components, and processes should cocreate values of complex systems in a connected and data-driven design manner by using artificial intelligence (AI) (Wang et al, 2019). To support the complexity in urban planning and design, advanced machine learning methods such as AI should further be tested and applied to create a smart and robust PSS.…”

Section: Resultsmentioning

confidence: 99%

Data-driven planning support system for a campus design

Yang

Chang

Saha

et al. 2020

Environment and Planning B: Urban Analytics and City Science

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The paper aims to develop a campus-level planning support system that is driven by data analytics by comparing two design approaches, anticipation and optimization. A campus is defined as a small-scale complex urban system of buildings and infrastructure. Three questions are addressed: (1) What generates campus design? What principles are taken for making design decisions? (2) How do we optimize design options based on multi-criteria performance and multi-objectives? (3) How can we manage a process of complex systems design, from scenario making, performance evaluation, design optimization to design generation? What properties can be derived from the above processes to inform campus design decisions? Driven by the above questions, design approaches by anticipation and by optimization were employed in a campus site design. By reviewing those processes, a data-driven campus planning support system is proposed to manage complex decisions and communicate design decisions through a visualization platform. This research will contribute to exploring how urban design is driven by data analytics for promoting energy efficiency and system resilience.

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Section: Resultsmentioning

confidence: 99%

Data-driven planning support system for a campus design

Yang

Chang

Saha

et al. 2020

Environment and Planning B: Urban Analytics and City Science

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“…Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes 2011Taxonomy Taxonomy for technology roadmaps in the service areas Wang et al (2019) Ontology Product, service, and condition ontologies to depict their in-context relationships Correia et al (2018) Ontology Ontology to facilitate knowledge management in collaborative PSS design Hajimohammadi et al (2017) OntologyA semantic model for PSS lifecycle management based on ontology Marques et al 2017Ontology A reconfigurable PSS ontology enriched with knowledge models Estrada and Romero (2016) Ontology A system quality attributes ontology to allow performance measurement of PSS functions Zhu et al 2015Ontology A systematic strategy for PSS design with ontology-based knowledge representation Vasantha et al (2015) Ontology Summary of the most frequent classes of reviewed ontologies Pagoropoulos et al 2014Ontology A PSS ontology for domain conceptualization Wang et al 2014Ontology Meta-ontology for identifying customer demands on modular product-service Shen et al 2012Ontology An ontology-based approach to represent and design a PSS configuration system Dong et al 2011Ontology A meta-ontology for service product configuration Annamalai et al 2011Ontology A PSS ontology to unify the PSS terminology and structure the PSS domain Shen et al 2010Ontology An ontology-based approach for modeling Product Extension Services (servitization of products) Kim et al (2009) Ontology An ontological representation to support computer-aided tools and frameworks for PSS design Letia and Marginean (2008) Ontology Needs and service offering ontologies in the context of client-provider collaboration for service bundling Mien et al (2005) Ontology Ontology for a sustainable development framework (IMPSS) Anke 2019Meta-model A meta-model for financial assessment of smart services Medini and Boucher (2019) Meta-model A meta-model for developing a modeling language for PSS engineering Maleki et al (2018a) Meta-model A systems engineering-based semantic meta-model Maleki et al (2018b) Meta-model A meta-model, which proposes the definition and classification of interfaces in PSS architecture Rizvi and Chew (2018) Meta-model A meta-model of the design process for cyber-physical PSS Li e...…”

Section: Availability Of Data and Materialsmentioning

confidence: 99%

A concept map to support the planning and evaluation of artifacts in the initial phases of PSS design

et al. 2021

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Designing Product-Service Systems (PSS) is associated with multiple problems and challenges, usually derived from its multidisciplinarity and partially intangible nature. One particular issue is the high likelihood of ignoring the creation of relevant information regarding one or more PSS elements during the early design phases. Proceeding to later stages (e.g., detailed design) without generating the required information regarding all PSS elements and their relationships may lead to rework and lack of integration. Dealing with this problem requires adequate planning and evaluation of the artifacts (such as documents and models) created in the initial design phases. As a fundamental theoretical basis to support the creation of solutions that may help project managers dealing with this challenge, this paper presents a concept map to structure the concepts that compose artifacts resulting from the initial stages of PSS design and how those concepts interrelate. This concept map aims to structure which classes of information should be defined in the early phases of the design process before proceeding to a detailed design. The concept map was created by extracting concepts and relationships proposed in classifications, taxonomies, ontologies, meta-models, and concept maps in the PSS and servitization fields. Those documents were identified through a comprehensive systematic literature review. The resulting concept map was verified for completeness against formal documentation of two retrospective PSS design projects. The final proposed concept map is composed of 143 concepts interconnected through 278 relationships. In its current format, the concept map may be used as a checklist to support project managers in planning and evaluating early phases of PSS design based on information completeness. Researchers may also employ it to deploy ontologies, approach further knowledge and information-related challenges in PSS design, or structure PSS-related model-based systems engineering approaches. In future research, this concept map shall be deployed in a meta-model based on artifacts commonly used in PSS design, structuring a computational tool to allow and support practical application on planning and evaluating PSS design projects.

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“…tion, PSS has incorporated digital elements. Consequently, different types of digital-driven PSS are presented such as digitalized PSS [10], digital servitization [11], and smart PSS [12,13]. Moreover, trends such as cloud computing, internet of things (IoT), and predictive analytics are acting as facilitators towards service inclusion in manufacturing firms' business models [14].…”

Section: Abstract a R T I C L E I N F Omentioning

confidence: 99%

“…Smart components integrating artificial intelligence may impact on the PSS solution success [12]. Therefore, studies that deal with how PSS smartness can help to overcome PSS barriers could be fruitful.…”

Section: Pss Barriersmentioning

confidence: 99%

Product-service systems benefits and barriers: an overview of literature review papers

Moro¹,

Cauchick-Migue²,

Mendes³

2020

Int J Ind Eng Manag

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Product-Service Systems (PSS) were proposed by the United Nations Environment Program (UNEP) in the late 1990s. Publications on the subject began to emerge after the release of the report "Product Service systems, Ecological and Economic Basics" [1], which was written to stimulate discussion on the subject, being commissioned by the Dutch Ministries of Environment and Economic Affairs. PSS is offered as an integrated package of products and services [2,3] with the aim to deliver an outcome, functionality, or a system's availability [4]. While providing solutions that can meet the needs of end customers, PSS contributes to reducing resource consumption and environmental impact [5]. Therefore, PSS may help to manage the sustainability of organizations [6], by providing a 'triple-win' wrapping economic, environmental, and social requirements [7]. One example of PSS is Riversimple that offers hydrogen-powered cars that customers can rent by paying a monthly fee to covers car use, maintenance, insurance, and fuel [8]. Bike-sharing systems such as the French Velib', and the growing start-up Yellow are another example of PSS, offering bicycle rent for a limit amount of time. In business-to-business (B2B) market, examples are numerous [9]. More recently and influenced by the digitaliza-Product-Service Systems (PSS) appears as an emergent subject, gaining the attention of many researchers, and an increasing interest of organizations. As many literature reviews have been conducted in PSS-related field, this paper aims to overview publications from 2006 to 2018 by highlighting PSS benefits and barriers. Content analysis was used to codify data collected in the publications. The main characteristics of the literature reviews are provided as well as a set of 36 PSS benefits and 24 barriers organized in categories and sub-categories. Analyzing PSS-related review papers allows identifying future research opportunities which can foster the design and implementation of PSS business models.

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A graph-based context-aware requirement elicitation approach in smart product-service systems

Cited by 78 publications

References 36 publications

Data-driven planning support system for a campus design

Data-driven planning support system for a campus design

A concept map to support the planning and evaluation of artifacts in the initial phases of PSS design

Product-service systems benefits and barriers: an overview of literature review papers

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