Value Generation in the Product Lifecycle with Digital Twins: Status Quo in Swiss Companies

Value generation with digital twins along the phases of the product lifecycle affects different processes from a company's internal perspective. The present study investigated in which phases of the product lifecycle and processes swiss companies seek to generate what value contribution. The results of the survey of 103 companies show that only 47% of the companies surveyed are applying or planning to apply digital twins. The motivation primarily lies in increasing efficiency (79%) or in building competitive advantage (63%). These companies clearly recognize the potential of digital twins to create value in the Beginning-of-Life-phase (79%) and in the Middle-of-Life-phase (60%). In contrest, the use in the End-of-Life-phase (15%) is subordinate. The companies seek to generate value with digital twins by offering qualitatively better products and services in a shorter time or with higher availability. Cost savings seem secondary and overestimated by companies before they apply digital twins

Value creation with digital twins : application-oriented conceptual framework and case study

The internet of things, digital twins of smart connected products, and thereby enabled smart services are topics of great interest and have been gaining traction for many years. However, many questions concerning the application-oriented usage of digital twins still need to be scrutinized. Therefore, this paper examines the question of an application-oriented framework for value creation with digital twins using design science research approaches. A conceptual reference framework is presented based on earlier research and iteratively developed within workshops with three companies. The framework incorporates primary dimensions of external and internal value creation and data resources. Further, it discusses the product life cycle, the real-world counterpart, value creation in the ecosystem, and the generational aspect of the digital twins. Furthermore, applying the framework to a use case with an industrial research partner helps to show the contributions to the industrial sector. The framework provides utility to practitioners as a means of creating a common sense in interdisciplinary teams, communicating digital twin projects to internal and external stakeholders, and as a toolbox for specific challenges concerning digital twins. In addition, the framework distinguishes itself from existing approaches by including the service ecosystem and its actors while considering the principles of product life cycle management. Therefore, using the framework in other use cases will test the approach on different industries and products. Furthermore, there is a need to develop approaches for implementing and developing an existing case

Digitale Plattformen in der Praxis: Einsatz- und Entwicklungsmodelle

Zusammenfassung Viele der wertvollsten Unternehmen der Welt betreiben ihr Geschäft auf Basis einer digitalen Plattform samt umgebendem Ökosystem. Während es in der Theorie zahlreiche Erklärungs-und Gestaltungsansätze für die erfolgreiche Umsetzung gibt, gelten diese wirtschaftlich attraktiven Geschäftsmodelle in der Praxis nach wie vor als herausfordernd. Auf der empirischen Grundlage von sieben Plattform-Innovationsprojekten und mit Methoden der Fallstudienforschung untersucht der vorliegende Artikel, welche Rolle digitale Plattformen in der Praxis spielen und wie diese Artefakte entwickelt werden können. Mit den Ergebnissen in Form von vier Einsatz- (Platform-as-a-Core, Platform-as-an-Evolution, Platform-as-an-Enabler, Platform-as-an-Add-On) und vier Entwicklungsmodellen (Methodic Problem Solvers, Methodic Strategists, Methodic Leaders, Ad-Hoc Developers) kann gefolgert werden: Digitale Plattformen können in der Praxis vielfältige Rollen einnehmen und deren Entwicklung kann mit unterschiedlicher Methodikintensität erfolgen. Für die Praxis profitieren Fach- und Führungskräfte von industrienahen Einblicken und abgeleiteten Handlungsempfehlungen. Für die Forschung wird der Wissensfundus im Bereich des Designs und der Entwicklung digitaler Plattformen erweitert

Value creation with digital twins in the end-of-lifecycle phase of smart products : applied data resources in academic literature

Smart products generate data during their entire life cycle. The usage of data during the first two lifecycle phases (beginning-of-life and middle-of-life) of a product is well researched. This study aims to investigate the origin, and the value creation of data that takes place in the final phase of the lifecycle through a systematic literature review. The findings are classified in a two-dimensional manner. A first dimension splits the data category into product-, context- and customer-related data and the second dimension splits the data sources into external, internal and thing related sources. Most of the data resources exploited for end-of-life decisions in the literature can be associated to the data category product, originating from the sources thing and internal system. The results show that use cases such as disposal, recycling, reuse, and refurbishment, which generate end-of-life value using life cycle data, are rarely described in the academic literature

Remyelination promoting therapies in multiple sclerosis animal models: a systematic review and meta-analysis.

An unmet but urgent medical need is the development of myelin repair promoting therapies for Multiple Sclerosis (MS). Many such therapies have been pre-clinically tested using different models of toxic demyelination such as cuprizone, ethidium bromide, or lysolecithin and some of the therapies already entered clinical trials. However, keeping track on all these possible new therapies and their efficacy has become difficult with the increasing number of studies. In this study, we aimed at summarizing the current evidence on such therapies through a systematic review and at providing an estimate of the effects of tested interventions by a meta-analysis. We show that 88 different therapies have been pre-clinically tested for remyelination. 25 of them (28%) entered clinical trials. Our meta-analysis also identifies 16 promising therapies which did not enter a clinical trial for MS so far, among them Pigment epithelium-derived factor, Plateled derived growth factor, and Tocopherol derivate TFA-12.We also show that failure in bench to bedside translation from certain therapies may in part be attributable to poor study quality. By addressing these problems, clinical translation might be smoother and possibly animal numbers could be reduced