Find out about the publications of the OMiLAB.
Title âČ |
Year |
Contributing OMiLAB |
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Design and Engineering of Product-Service Systems (PSS): TheSEEM Methodology and Modeling Toolkit | 2022 | OMiLAB@University of Bergamo | |
Abstract. Servitization is a global trend in the manufacturing industry that requires a challenging and complex transformation. In this context, engineering and design Product-Service Systems (PSS), capturing both product and service perspectives and balancing customer satisfaction and internal efficiency, are becoming more and more essential. To this purpose, the SEEM (SErvice Engineering Methodology) methodology is proposed, and the SEEM Modeling toolkit supporting its implementation is presented. Lastly, this chapter describes the methodology and the tool implementations in a case study on an Italian manufacturing company.
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Using AI for developing personalized learning paths | 2024 | OMiLAB@Universitat PolitĂšcnica de ValĂšncia | |
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Generative AI at School – Insights from a study about German students’ self-reported usage, the role of students’ action-guiding characteristics, perceived learning success and the consideration of contextual factors | 2023 | OMiLAB@Bielefeld University of Applied Sciences and Arts | |
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Human-AI interaction in remanufacturing: exploring shop floor workersâ behavioural patterns within a specific human-AI system | 2023 | OMiLAB@Bielefeld University of Applied Sciences and Arts | |
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Challenging Digital Innovation Through the OMiLAB Community of Practice | 2022 | OMiLAB@Bialystok University of Technology | |
Abstract. Digitalization requires cyber-physical ecosystems to achieve the goals of its transformation process, which should be primarily driven by innovation. OMiLAB (www.omilab.org) supports digital innovation within a community of practice and technical environment, based on a global network of physical laboratory nodes. The Digital Innovation Environment (DiEn) powered by OMiLAB located at industrial and academic organizations responds to digital transformation challenges. It facilitates the co-creation, design, and engineering of early prototypes. Digital innovation is challenged by the OMiLAB community of practice through tool-aided conceptual modelling and elevates model value in domain-specific scenarios and experiments.
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Product-Service-System Modeling Method | 2016 | OMiLAB@Mines Saint-Etienne | |
Abstract. This paper addresses enterprise modeling needs, in a specific field of industrial management: the design and management of industrial product-service-systems. During the last decade, the industrial sector has undergone a change of the business model, through an increasing internalisation of service activities in manufacturing companies. The objective of this chapter is to develop a generic metamodel, which could be used to further develop IT support solutions for the design and lifecycle management of product-service-systems. The specification of this metamodel together with the associated modeling method are explained then illustrated on an industrial case study.
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Towards a Generic Meta-Model for PSS Scenarios Modelling and Analysis | 2016 | OMiLAB@Mines Saint-Etienne | |
Abstract. The transition from a productâoriented business towards a PSS-oriented business, known in the scientific literature as âservitizationâ involves complex changes for decision-makers. Over the past years, the scientific literature has provided consistent advances in PSS decision-support systems including PSS modelling. However, concerning PSS modelling languages or formalisms, most initiatives remain context dependent; to date only a small a piece of literature addresses the need for reproducibility of PSS modelling methods. The objective of this paper is to make a first step forward in this direction, by proposing an iterative procedure dedicated to build generic meta-models and by applying it to generate a first proposal of PSS meta-model, expected to be re-usable in several distinct modelling and decision-making contexts.
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Generic Conceptual Model to Support PSS Design Processes | 2017 | OMiLAB@Mines Saint-Etienne | |
Abstract. This paper addresses the needs of generic and shared PSS conceptual modelling approaches. The development of conceptual models for PSS is considered in this research as the basis to develop an integrated approach for PSS design. The objective of the paper is to present a generic PSS-dedicated meta-model, resulting from a procedure of integration of various conceptual models developed in the scientific literature of PSS design methods. The procedure of knowledge extraction and integration is explained and the generic PSS meta-model is presented, together with an associated modelling procedure. These results constitute a path forward towards more generic PSS design methods.
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Framework to Model PSS Collaborative Value Networks and Assess Uncertainty of Their Economic Models | 2019 | OMiLAB@Mines Saint-Etienne | |
Abstract. This paper presents a framework for addressing the challenge of economic value sharing among actors of Product-Service value networks. More specifically the framework is dedicated to the assessment of alternative collaborative value networks and their associated economic models, at the time of designing a product-service system (PSS). The framework includes three main components: modelling, simulation and uncertainty assessment. The framework is briefly presented as parts of its components were discussed in previous research. The paper provides an illustration with a design project of a PSS solution in the agro-alimentary industry, requiring a balanced configuration of collaborative value network.
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Value Proposition in Smart PSS Engineering: Case Study in the Residential Heating Appliance Industry | 2020 | OMiLAB@Mines Saint-Etienne | |
Abstract. This paper explains the first steps of a smart PSS engineering approach, aimed at eliciting stakeholder needs, prototyping the value proposition, representing how the Original Equipment Manufacturer (OEM) will capture value and share it with a collaborative network of stakeholders while identifying and prioritizing risks from the value proposition. The approach addresses two gaps in the field of smart PSS design: (i) the need of visualizing solutions to support the transformation of value propositions for the stakeholders into a contract mechanism supporting value capture by the offering company and (ii) the importance of integrating risk management during the design of Smart PSS value proposition
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OMiLAB: A Smart Innovation Environment for Digital Engineers | 2020 | OMiLAB@Mines Saint-Etienne | |
Abstract. This position paper introduces a Smart Innovation Environment for experimentation related to digital transformation projects, for the consolidation of a proposed “Digital Engineer” skill profile (with a business-oriented facet labelled as “Digital Innovator”). In the Internet of Things era, this profile implies the ability to perform both digital design and engineering activities, to semantically bridge multiple layers of abstraction and specificity â from business analysis down to cyber-physical engineering. In the paper’s proposal, this integration is enabled by conceptual modelling methods and interoperable modelling tools, tailored to support the creation of Digital Twins for innovative digital business models. The architecture of the proposed environment is guided by a Design Research perspective â i.e., it is a treatment to an education “design problem” regarding the Digital Engineer skill profile in the IoT era. The proposed environment encompasses workspaces and toolkits are currently evaluated in “innovation corners” deployed across the OMiLAB ecosystem.
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A method to design integrated product-service systems based on the extended functional analysis approach | 2018 | OMiLAB@Mines Saint-Etienne | |
Abstract. Over the recent years, the growing research interest in Product-Service Systems (PSS) design and development methods has generated a large background of theoretical knowledge, conceptual methods and application case studies. After analysing the research gaps emerging for these advances, this paper propose a new integrated PSS design method, which intends to associate to 3 key contributions: an increased degree of integration among all components of the method; a higher applicability in industrial companies; specific added-value in balancing economic models of the stakeholders of the PSS delivery network. The proposition is based on extending the Functional Analysis (FA) approach (NF X 50-100), which is commonly used in product engineering, in order to cover the requirements for PSS design and development. The paper intends to provide a conceptual justification, then an industrial verification, of the pertinence and applicability of the method proposed. The industrial experimentation is developed on an industrial PSS case study dealing with the design of an industrial cleaning solution.
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Specifying a modelling language for PSS Engineering â A development method and an operational tool | 2019 | OMiLAB@Mines Saint-Etienne | |
Abstract. Although the literature is full of research on the transition of industry towards Product-Service Systems (PSS), the question of how to effectively support PSS engineering is poorly addressed. The compelling need for decision support throughout the various stages of the engineering process is particularly challenging due to the inherent complexity of PSS. In this sense, visualisation and modelling at large have been put forth as promising means for supporting PSS engineering. This paper proposes a method for specifying a modelling language for PSS engineering, putting together PSS domain-specific knowledge and modelling concepts inherited from conceptual modelling and model-based engineering. It relies on a recursive transformation process of the underlying PSS meta-model using knowledge from case studies and the literature. The method has proven to be a practical means for gradual enrichment of the modelling language leading to successful experimentations in the industrial context.
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Digital technologies in product-service systems: a literature review and a research agenda | 2020 | OMiLAB@Mines Saint-Etienne | |
Abstract. Digital technologies are encouraging manufacturing companies in their servitization process by accelerating the offer of integrated product and service to create new value and grow relationships with customers in the Industry 4.0 era. In parallel, digitalization and servitization research streams are merging and paving the way for the Smart Product-Service System (Smart PSS). By analyzing the concept of Smart PSS, this paper questions the convergence between digital and service orientations and considers how digital technologies are used to enable decisions along the PSS lifecycle and/or at different planning levels. Applying topic modeling, a semi-systematic literature review on the combination of digital technologies with PSS has highlighted five main research streams: PSS design, digital servitization, assessing tool for PSS decisions, knowledge management along the lifecycle, sustainability business models. The development over time of these research streams has been tracked leading to the definition of a new research agenda on Smart PSS.
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Smart PSS modelling language for value offer prototyping: A design case study in the field of heating appliance offers | 2024 | OMiLAB@Mines Saint-Etienne | |
Abstract. The recent convergence between two industrial transitions towards digitalization on the one side and servitization on the other side led to the new business strategies of digital servitization and smart PSS delivery. While inheriting from the previous scientific literature on PSS, because of the multiple impacts of digitalization in the overall system, the processes of ensuring the design and engineering of smart PSS solutions poses new challenges. This research addresses the specific needs to develop conceptual prototypes of smart PSS value offers, at early stages of the design process. The paper presents the development and experimentation of a modelling language and its associated modelling toolkit (sPSÂČModeller). The application case study addresses the design of a smart PSS in the field of heating appliances, developed in collaboration with the company elm.leblanc, Bosch Group â France.
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OMiLAB: A Smart Innovation Environment for Digital Engineers | 2020 | OMiLAB@Lucian Blaga University of Sibiu | |
Abstract. This position paper introduces a Smart Innovation Environment for experimentation related to digital transformation projects, for the consolidation of a proposed “Digital Engineer” skill profile (with a business-oriented facet labelled as “Digital Innovator”). In the Internet of Things era, this profile implies the ability to perform both digital design and engineering activities, to semantically bridge multiple layers of abstraction and specificity â from business analysis down to cyber-physical engineering. In the paper’s proposal, this integration is enabled by conceptual modelling methods and interoperable modelling tools, tailored to support the creation of Digital Twins for innovative digital business models. The architecture of the proposed environment is guided by a Design Research perspective â i.e., it is a treatment to an education “design problem” regarding the Digital Engineer skill profile in the IoT era. The proposed environment encompasses workspaces and toolkits are currently evaluated in “innovation corners” deployed across the OMiLAB ecosystem.
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