Towards a platform for integrating product usage information into innovative product-service design

Hribernik, Karl; Franke, Marco; Klein, Patrick; Thoben, Klaus‐Dieter; Coscia, Eva

doi:10.1109/ice.2017.8280047

Cited by 11 publications

(9 citation statements)

References 5 publications

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“…Figure 2 below shows a simplified architecture of the overall VOP, which is described in its implemented layers in the following to illustrate dependencies among data analytics and data acquisition. A more detailed overview of the platform was given by Hribernik et al (2017).…”

Section: Implementation and Integration Into An Open Platformmentioning

confidence: 99%

“…The successful exploitation of PUI such as sensor data becomes a key success factor for future product developments In the EU-funded FALCON project (2015-2017), we have investigated opportunities to exploit collected data from connected products in several ways. One main deliverable of the project was a 'virtual open platform' (VOP) to collect and process data generated by connected products and related social media, with the objective to extract actionable knowledge to be used as input for (re)design of products and related services (Hribernik et al, 2017). This paper elaborates on our explorations to support product development with data analytics to improve anticipation of actual usage in redesigned products and related services, in particular by means of rule-based design automation and through simulation.…”

Section: Introductionmentioning

confidence: 99%

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Towards an Approach Integrating Various Levels of Data Analytics to Exploit Product-Usage Information in Product Development

Klein

Vegte

Hribernik³

et al. 2019

Proc. Int. Conf. Eng. Des.

Self Cite

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By applying data analytics to product usage information (PUI) from combinations of different channels, companies can get a more complete picture of their products’ and services’ Mid-Of-Life. All data, which is gathered within the usage phase of a product and which relates to a more comprehensive understanding of the usability of the product itself, can become valuable input. Nevertheless, an efficient use of such knowledge requires to setup related analysis capabilities enabling users not only to visualize relevant data, but providing development related knowledge e.g. to predict product behaviours not yet reflected by initial requirements.The paper elaborates on explorations to support product development with analytics to improve anticipation of future usage of products and related services. The discussed descriptive, predictive and prescriptive analytics in given research context share the idea and overarching process of getting knowledge out of PUI data. By implementation of corresponding features into an open software platform, the application of advanced analytics for white goods product development has been explored as a reference scenario for PUI exploitation.

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Section: Implementation and Integration Into An Open Platformmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Towards an Approach Integrating Various Levels of Data Analytics to Exploit Product-Usage Information in Product Development

Klein

Vegte

Hribernik³

et al. 2019

Proc. Int. Conf. Eng. Des.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the FALCON project funded by the European Union (2015-2017), we have investigated opportunities to exploit collected data from connected products in several ways. The main deliverable of the project was a "virtual open platform" to collect and process data generated by connected products and related social media, with the objective to extract actionable knowledge to be used as input for (re)design of products and related services [5]. This article describes a study conducted in the context of FALCON that aimed to report on, and implement, simulations based on time-stamped PUI (TPUI)-i.e., each data sampling holds information about the time of usage or nonusage.…”

Section: Utilizing Time-stamped Usage Information Frommentioning

confidence: 99%

“…The virtual open platform offers a data export module that converts userspecified selections from the collected data to a comma-separated values (CSV) file, a basic table format that can be read by most simulation packages. The user-specified selection of the TPUI to be listed in the CSV file is handled by a module called PUI query builder [5].…”

Section: Utilizing Time-stamped Usage Information Frommentioning

confidence: 99%

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Simulations Based on Product-Usage Information From Connected Products to Support Redesign for Improved Performance: Exploration of Practical Application to Domestic Fridge-Freezers

Vegte

Kurt

Şengöz

2019

Journal of Computing and Information Science in Engineering

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The real-life use of a product is often hard to foresee during its development. Fortunately, today's connective products offer the opportunity to collect information about user actions, which enables companies to investigate the actual use for the benefit of next-generation products. A promising application opportunity is to input the information to engineering simulations and increase their realism to (i) reveal how use-related phenomena influence product performance and (ii) to evaluate design variations on how they succeed in coping with real users and their behaviors. In this article, we explore time-stamped usage data from connected fridge-freezers by investigating energy losses caused by door openings and by evaluating control-related design variations aimed at mitigating these effects. By using a fast-executing simulation setup, we could simulate much faster than real time and investigate usage over a longer time. We showed that a simple, single-cycle load pattern based on aggregated input data can be simulated even faster but only produce rough estimates of the outcomes. Our model was devised to explore application potential rather than producing the most accurate predictions. Subject to this reservation, our outcomes indicate that door openings do not affect energy consumption as much as some literature suggests. Through what-if studies we could evaluate three design variations and nevertheless point out that particular solution elements resulted in more energy-efficient ways of dealing with door openings. Based on our findings, we discuss possible impacts on product design practice for companies seeking to collect and exploit usage data from connected products in combination with simulations.

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Applying Product Usage Information to Optimise the Product Lifecycle in the Clothing and Textiles Industry

Hribernik

Arabsolgar

Canepa³

et al. 2019

Decision Engineering

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Towards a platform for integrating product usage information into innovative product-service design

Cited by 11 publications

References 5 publications

Towards an Approach Integrating Various Levels of Data Analytics to Exploit Product-Usage Information in Product Development

Towards an Approach Integrating Various Levels of Data Analytics to Exploit Product-Usage Information in Product Development

Simulations Based on Product-Usage Information From Connected Products to Support Redesign for Improved Performance: Exploration of Practical Application to Domestic Fridge-Freezers

Applying Product Usage Information to Optimise the Product Lifecycle in the Clothing and Textiles Industry

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