scholarly journals Digital transformation model based on the digital twin concept for intensive aquaculture production using closed water circulation technology

2021 ◽  
Vol 723 (3) ◽  
pp. 032064
Author(s):  
M G Zhabitskii ◽  
Y A Andryenko ◽  
V N Malyshev ◽  
S V Chuykova ◽  
A A Zhosanov
Keyword(s):  
Digital Transformation ◽  
Water Circulation ◽  
Transformation Model ◽  
Digital Twin ◽  
Model Based ◽  
Closed Water ◽  
Intensive Aquaculture ◽  
Aquaculture Production

scholarly journals Logistics digital transformation model based on a platform solution

2021 ◽  
Vol 258 ◽  
pp. 02024
Author(s):  
Aleksandr Kozlov ◽  
Anna Smirnova ◽  
Irina Zaychenko ◽  
Yevhenii Shytova ◽  
Joanna Kalkowska
Keyword(s):  
Digital Transformation ◽  
Transformation Model ◽  
Interaction Models ◽  
Model Based ◽  
Stakeholder Interaction ◽  
Level Model ◽  
The Creation

This paper is devoted to researching the major aspects of the digital transformation of the logistical field. Provided are the suggestions for constructing logistical process stakeholder interaction models. One of the major trends in digital logistics is platform solutions that will come to replace specialized digital solutions. Based on this trend, authors provide the 3-level model of stakeholder interaction on the logistical platform which could form the foundation of a future platform solution architecture. The creation of the logistical platform is the next step in the digital transformation of logistics which aims to create a unified logistical ecosystem.

scholarly journals Digital Transformation Model, Based on Grounded Theory

2021 ◽  
Vol 9 (36) ◽  
pp. 275-284
Author(s):  
Abbas Khamseh ◽  
Mohammad Ali Mirfallah Lialestani ◽  
Reza Radfar
Keyword(s):  
Grounded Theory ◽  
Digital Transformation ◽  
Transformation Model ◽  
Model Based

Model-Based Design of Complex Aeronautical Systems Through Digital Twin and Thread Concepts

2020 ◽  
Vol 14 (2) ◽  
pp. 1568-1579 ◽  
Author(s):  
Gray Bachelor ◽  
Eugenio Brusa ◽  
Davide Ferretto ◽  
Andreas Mitschke
Keyword(s):  
Digital Twin ◽  
Model Based

scholarly journals Assessing Digital Transformation in Universities

2021 ◽  
Vol 13 (2) ◽  
pp. 52
Author(s):  
Guillermo Rodríguez-Abitia ◽  
Graciela Bribiesca-Correa
Keyword(s):  
Business Models ◽  
Digital Transformation ◽  
Transformation Model ◽  
Educational Institutions ◽  
Maturity Level ◽  
Network Applications ◽  
Innovative Products ◽  
Education Market ◽  
Transformation Processes ◽  
Degree Of Innovation

Industry 4.0 and Society 5.0 are reshaping the way organizations function and interact with the communities they serve. The massive penetration of computer and network applications forces organizations to digitalize their processes and provide innovative products, services, and business models. The education market is suffering changes as well, but universities seem slow to react. This paper proposes the application of an integrated digital transformation model to assess the maturity level that educational institutions have in their digital transformation processes and compares them to other industries. Particular considerations to address when using the model for higher-education institutions are discussed. Our results show that universities fall behind other sectors, probably due to a lack of effective leadership and changes in culture. This is complemented negatively by an insufficient degree of innovation and financial support.

scholarly journals Differences in Live Fish Marketing of Traditional Pond Aquaculture and Intensive Aquaculture in Czechia

2019 ◽  
Vol 67 (1) ◽  
pp. 189-196 ◽  
Author(s):  
Antonín Vavrečka ◽  
Petra Chaloupková ◽  
Lukáš Kalous
Keyword(s):  
Information System ◽  
Freshwater Fish ◽  
The State ◽  
Pond Aquaculture ◽  
Significant Time ◽  
Live Fish ◽  
Intensive Aquaculture ◽  
Fish Marketing ◽  
Important Character ◽  
Aquaculture Production

The seasonality of fish marketing is a very important character for aquaculture production. We analysed data regarding the situation at the Czech market in 2015 and 2016 available in the information system of the State Agricultural Intervention Fund. The most significant volumes of freshwater fish were traded by traditional pond aquaculture companies (TPA) and approx. 1/3 of the all‑year production was sold at the end of the year (December). Another significant time when the supply of live fish from the TPA on the domestic market slightly increased was in March and then in April, i.e. before Easter, which represented approximately one fifth of all aquaculture production. The weakest periods in terms of marketing fish of TPA were the beginning of the year, i.e. during the first two months (January and February) and the period from May to September. On the contrary, the situation was different in intensive fish aquaculture companies (IA) which had the most significant volumes traded between April and September and then in November and December. However, the sold volume of fish from IA was not strictly concentrated in a single period.

scholarly journals Designing industry 4.0 implementation from the initial background and context of companies

2021 ◽  
Vol 3 ◽  
pp. 27
Author(s):  
Valérie Rocchi ◽  
Daniel Brissaud
Keyword(s):  
Digital Technology ◽  
Industry 4.0 ◽  
Success Factors ◽  
Theoretical Models ◽  
Digital Transformation ◽  
Transformation Model ◽  
Structured Interviews ◽  
Long Time ◽  
Key Variables ◽  
The Right

Industry 4.0 is a promising concept that allows industries to meet customers’ demands with flexible and resilient processes, and highly personalised products. This concept is made up of different dimensions. For a long time, innovative digital technology has been thought of as the only dimension to succeed in digital transformation projects. Other dimensions have been identified such as organisation, strategy, and human resources as key while rolling out digital technology in factories. From these findings, researchers have designed industry 4.0 theoretical models and then built readiness models that allow for analysing the gap between the company initial situation and the theoretical model. Nevertheless, this purely deductive approach does not take into consideration a company’s background and context, and eventually favours one single digital transformation model. This article aims at analysing four actual digital transformation projects and demonstrating that the digital transformation’s success or failure depends on the combination of two variables related to a company’s background and context. This research is based on a double approach: deductive and inductive. First, a literature review has been carried out to define industry 4.0 concept and its main dimensions and digital transformation success factors, as well as barriers, have been investigated. Second, a qualitative survey has been designed to study in-depth four actual industry digital transformation projects, their genesis as well as their execution, to analyse the key variables in succeeding or failing. 46 semi-structured interviews were carried out with projects’ members; interviews have been analysed with thematic content analysis. Then, each digital transformation project has been modelled regarding the key variables and analysed with regards to succeeding or failing. Investigated projects have consolidated the models of digital transformation. Finally, nine digital transformation models have been identified. Industry practitioners could design their digital transformation project organisation and strategy according to the right model.

The digital twin as an enabler of digital transformation: a sociotechnical perspective

2021 ◽  
Author(s):  
Eric Rebentisch ◽  
Donna H. Rhodes ◽  
Antonio Lucas Soares ◽  
Ricardo Zimmerman ◽  
Sergio Tavares
Keyword(s):  
Digital Transformation ◽  
Digital Twin

scholarly journals Tissue-specific transformation model for CT-images

2017 ◽  
Vol 3 (2) ◽  
pp. 525-528
Author(s):  
Kathrin Bartelheimer ◽  
Hendrik Teske ◽  
Rolf Bendl ◽  
Kristina Giske
Keyword(s):  
Ct Images ◽  
Tissue Growth ◽  
Transformation Model ◽  
Deformation Analysis ◽  
Skeleton Model ◽  
Volume Calculation ◽  
Model Based ◽  
The Impact ◽  
Model Characteristic ◽  
Insight Into

AbstractDuring radiotherapy, posture changes and volume changing deformations like growing or shrinking tissue result in anatomical deformations. The basis for investigating the impact of such deformations on dose uncertainties, are model-based tools for deformation analysis. In this context, we propose a transformation model based on the information of CT-images, which allows an on-the-fly calculation of voxel volumes. Our model is based on the concept of the chainmail algorithm and describes deformation on voxel-level. With an exemplary input of a set of landmark pairs, generated by a kinematic head-and-neck skeleton model, CT-images (512x512x126 voxel) can be deformed with an on-the-fly volume calculation in less than 70s. The volume calculation delivers insight into model-characteristic volume changes and is a prerequisite for implementing tissue growth and shrinkage.

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