Development capabilities for smart products

Tomiyama, Tetsuo; Lutters, Eric; Stark, Rainer; Abramovici, Michael

doi:10.1016/j.cirp.2019.05.010

Cited by 124 publications

(89 citation statements)

References 209 publications

(249 reference statements)

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“…Thereby, RQ1, concerning the relationship between PSS design and BDA, was answered. This advancement partly fills the knowledge gap for design using smartness [107], i.e., the insufficient connection between service design and product design as PSS design.…”

Section: Scientific Contributionsmentioning

confidence: 99%

A Product/Service System Design Schema: Application to Big Data Analytics

Sakao

Neramballi

2020

Sustainability

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The challenge of environmental sustainability has required product/service systems (PSSs) to play a substantial role. New technologies such as big data analytics (BDA), which have high potential to improve or enable PSSs, are increasingly implemented in industry. However, research achieved in the past and research opportunities in the intersection of PSS design and BDA are unclear in the literature. Therefore, this article took an inter-disciplinary approach and aimed to pave the way forward for research and development in PSS design and show opportunities to improve PSS design and delivery using BDA. The research methods adopted were literature synthesis and systematic literature review. The synthesis of PSS design literature resulted in a schema consisting of 10 design steps for PSS conceptual design. The systematic review of BDA literature found 11 research works, including industrial applications, which were then mapped on to the PSS design schema. This revealed the achievement of applied research using BDA for some of the PSS design steps as well as opportunities of research for the others. The two inter-related areas of research, PSS design and BDA, were connected with each other more clearly, so that further research could be anchored and motivated with more specificity.

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Section: Scientific Contributionsmentioning

confidence: 99%

A Product/Service System Design Schema: Application to Big Data Analytics

Sakao

Neramballi

2020

Sustainability

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“…The current development technology of electronic dictionaries mainly uses Android [13]. Many scholars are concerned with the structure of the lexicon as well as the speed of word search, for example, studies based on the construction of word structures between three languages and studies on how to speed up the establishment of indexes carried out by word search [14]. Some foreign scholars on electronic dictionaries also focus on lightweight usability, which plays an auxiliary role in learning, and some applications oriented to special education, which tend to use machine learning methods in the development of technology [15].…”

Section: Analysis Of Iot Intelligent English Electronicmentioning

confidence: 99%

Design and Implementation of Intelligent English Electronic Dictionary System Based on Internet of Things

Wen-ming

2021

Wireless Communications and Mobile Computing

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In this paper, the intelligent English electronic dictionary system is studied to design and implement the electronic dictionary system according to the advantages of the Internet of Things. The software architecture, the design, and implementation of the client and server-side and related technologies in the development process of the dictionary application are used as the research content to comprehensively discuss the development process of the electronic dictionary. The client and server-side is based on C/S technology architecture, and the server-side is a standard Maven Web project, which is managed by Maven and does not cause conflicts; the model-view-controller framework is built using Spring MVC to achieve the separation of user interface and application logic. Spring MVC is used to build a model-view-controller framework to separate user interface and application logic. Spring dependency injection is used to build a loosely coupled project, which helps to separate project components; Spring Data JPA is used to build a persistence layer to facilitate data access and maximize the developer’s ability to automatically realize logical operations on data. After the overall performance test of the system, the performance is good under the platform, and the intelligence of trilingual word query is achieved, and the quickness and ease of use meet the requirements that can be applied.

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“…Die Entwicklung von smarten Produkten [15,16] führt aufgrund der hohen Komplexität in der Produktentwicklung zu einem steigenden Bedarf an besseren Methoden und Tools, insbesondere auch zu besser vernetzten Informationen über Produkte und Prozesse [17]. Ein Ansatz, der diese Lücke schließen soll, ist das sogenannte Closed-Loop Systems Engineering.…”

Section: Stand Der Technikunclassified

Anforderungen an ein Daten-Backend-System zur Unterstützung industrieller Datenanalyse-Anwendungen in digitalen Engineering-Prozessen dynamischer Wertschöpfungsnetzwerke

Eiden¹,

Gries²,

Eickhoff³

et al. 2020

Proceedings of the 31st Symposium Design for X (DFX2020)

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Industrial data analytics needs well-structured and linked data from different data sources. The increasing mass of data, scattered IT-structures and a lack of knowledge, especially in small and medium-sized companies (SMEs) are factors that hinder the usage of data analytics. The goal of the research project AKKORD is to build a toolkit for companies to facilitate distributed and integrated industrial data analytics inside valueadding networks. A core part of this toolkit is a data backend system, which collects and links data from different source systems together in a single meta-model. This paper describes the requirements analysis of the data backend system by conducting structured interviews and workshops.

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Development capabilities for smart products

Cited by 124 publications

References 209 publications

A Product/Service System Design Schema: Application to Big Data Analytics

A Product/Service System Design Schema: Application to Big Data Analytics

Design and Implementation of Intelligent English Electronic Dictionary System Based on Internet of Things

Anforderungen an ein Daten-Backend-System zur Unterstützung industrieller Datenanalyse-Anwendungen in digitalen Engineering-Prozessen dynamischer Wertschöpfungsnetzwerke

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