Design for reconfiguration as fundamental aspect of smart products

Savarino, Philipp; Abramovici, Michael; Göbel, Jens Christian; Gebus, Philip

doi:10.1016/j.procir.2018.01.007

Cited by 18 publications

(4 citation statements)

References 2 publications

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“…The major changeover can be morphological and topological changes or replacing units [155]. Reconfiguration, being minor or major ones, takes place at different levels of the system, i.e., structure, behaviour, and function [7,8,31,195,196]. An example of reconfigurability is modular architecture, which is supported by modulewise interoperability and standard interface between modules.…”

Section: Reconfigurationmentioning

confidence: 99%

“…6 depicts life-time reconfiguration of a smart vehicle that goes through static reconfiguration in the middle of its life and later dynamic real-time reconfiguration. Static reconfiguration means non-personalized reconfiguration for all instances regardless of the environment in which these smart products exist, while dynamic reconfiguration is highly personalized based on the environmental data and thus instance-based [8,196].…”

Section: Reconfigurationmentioning

confidence: 99%

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Development capabilities for smart products

Tomiyama¹,

et al. 2019

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Section: Reconfigurationmentioning

confidence: 99%

Section: Reconfigurationmentioning

confidence: 99%

Development capabilities for smart products

Tomiyama¹,

et al. 2019

Self Cite

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“…From the productoriented aspect, the existing body of research suggests that some features (e.g. self-awareness (Filho et al, 2017) and reconfigurable (Savarino et al, 2018)) frequently prescribe for designing SCPs. From the service-oriented aspect, several studies explore approaches based on IoT (Liu et al, 2019b) or datadriven techniques for developing smart e-services (Verdugo Cedeño et al, 2018), and many methods for advancing digitalized services (e.g.…”

Section: Introductionmentioning

confidence: 99%

A holistic relook at engineering design methodologies for smart product-service systems development

Cong

Chen

Zheng

et al. 2020

Journal of Cleaner Production

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“…Engineering management approaches such as DSM and design of experiments (DOE) are combined with AI techniques to form hybrid approaches aimed at establishing an equilibrium between redesign efficiency and commonality [38]. Savarino et al [39] presented a generic modularization framework for tapping into smart product information gathered throughout the usage stage to achieve reconfiguration design. For smart connected assets, Zheng et al [40] proposed a DSMbased robust learning approach using generated data to predict engineering design changes.…”

Section: Product Family Design and Optimizationmentioning

confidence: 99%

Graph-enabled digital twins for intelligent product lifecycle management: a multi-dimensional approach to design, manufacturing, and supply chain transformation

Lim

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In today's increasingly dynamic business landscape, industries are faced with global headwinds, intensified competition, and increased volatility driven by factors such as increased demand for tailored products and solutions as well as geopolitical, economic, and climate disruptions.To address these challenges and remain competitive, the product lifecycle management (PLM) paradigm, which allows companies to be in control of their products and services across the lifecycle, has gained attention from industries. This cross-functional approach, enabled by Industry 4.0 information and communication technology (ICT) enablers such as digital twins (DT) and knowledge graphs (KGs), can elevate existing capabilities for customizability and manufacturing resilience. This thesis explores the role of DT and KG in enhancing PLM capabilities, integrating multiple lifecycle phases with emphasis on product design, manufacturing, and supply chain management (SCM). The adoption of these transformative technologies has the potential to enhance existing mass customization strategies such as the product family (PF) approach and Smart Product-Service Systems (Smart PSS), paving the way for intelligent decision support systems. Applicable to a wide range of industries, the use of DT systems with KG as a computational driver can support stakeholders in improving operational efficiencies, and responsiveness for disruption management. The main contributions of the thesis can be categorized into five research areas highlighted below:1) Establishing an environment-based context-aware DT system to enhance PF design and optimization. To overcome the challenges of identifying optimal product configurations in the planning phase and overcoming user requirement changes in the usage phase, a context-aware Abstract 10 DT system incorporating real-world environment aspects is proposed to aid PF reconfiguration and redesign. A novel benchmark and interacting mechanism automatically identifies feasible PF modules, reducing the need for costly and bias-prone expert recommendations, as demonstrated by a case study on tower crane planning and deployment.2) Developing DT-as-a-Service to advance service-oriented digital manufacturing. Based on the flexibility and versatility of DT in manufacturing processes, these systems are pivotal towards customized production systems. A four-tier technology stack is proposed to construct DT systems using a modular approach and leverages advanced computational methodologies and tools such as extended reality (XR) to support a wider range of shop floor manufacturing processes. Here, DT systems are used as a fundamental to enable Smart PSS and circular economy paradigms to drive sustainability and customizability efforts. These multi-faceted capabilities are featured in two use cases, additive manufacturing, and gearbox assembly line. 3) Enabling causal inference for maintenance operations using cognitive digital twins (CDTs).The intricate nature of large production systems results in challenges pertaining to the root ca...

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Design for reconfiguration as fundamental aspect of smart products

Cited by 18 publications

References 2 publications

Development capabilities for smart products

Development capabilities for smart products

A holistic relook at engineering design methodologies for smart product-service systems development

Graph-enabled digital twins for intelligent product lifecycle management: a multi-dimensional approach to design, manufacturing, and supply chain transformation

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