scholarly journals Method for Identifying Representative Failures in Modular Products Through Field Application Data Analysis

2020 ◽  
Author(s):  
Evandro Cerqueira ◽  
Rafael Voltolini ◽  
Milton Borsato
Keyword(s):  
Data Analysis ◽  
Design Science ◽  
Science Research ◽  
Field Application ◽  
Manufacturing Companies ◽  
Product Platforms ◽  
Actual Usage ◽  
Application Data ◽  
Set Up ◽  
High Level

Increasingly, manufacturing companies are focusing their efforts on exploring new markets. This new reality makes them strive for more efficient ways to offer their products at a lower cost and without losing their customization. As a result, the compromise between volume and customization (i.e. mass customization) is necessary and to support these product platforms have become a standard practice in the industry, especially the automotive one. However, another challenge arises with the use of platforms: the lack of an efficient way to develop product platforms that will bring a high level of customer satisfaction. The present work aims to develop a method capable of assisting global project groups for identifying representative failures in modules of product platforms and to set up product variations. It is intended to solve the problem of inefficient platform configuration for different markets, taking into account the specific application characteristics of each one. The methodological procedure is based on the Design Science Research (DSR) framework, according to which the work is carried out in six steps. The demonstration and evaluation steps of the solution were performed in the context of an automotive partner industry. The results show that is possible to use the method as a way to improve product platform configuration. The main contribution comes from the fact that the method performs a data analysis based on actual usage information under different product application conditions.

scholarly journals A Business Intelligence & Analytics Framework for Clean and Affordable Energy Data Analysis

2021 ◽  
Vol 13 (2) ◽  
pp. 638
Author(s):  
Mihaela Muntean ◽  
Doina Dănăiaţă ◽  
Luminiţa Hurbean ◽  
Cornelia Jude
Keyword(s):  
Data Analysis ◽  
Business Intelligence ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
Energy Data ◽  
Country Case Study ◽  
Strongly Connected ◽  
Data Source ◽  
Data Visualizations

Energy is the sector most strongly connected with climate change moderation, and this correlation and interdependency is largely investigated, in particular as regards renewable energy and sustainability issues. The United Nations, European Union, and all countries around the world declare their support for sustainable development, materialized in agreements, strategies, and action plans. This diversity, combined with significant interdependencies between indicators, brings up challenges for data analysis, which we have tackled in order to decide on relevant indicators. We have built a research framework based on Business Intelligence & Analytics for monitoring the SDG7 indicators that aim at “Ensuring access to affordable, reliable, sustainable, and modern energy for all”, in relation with SDG13 indicators targeting the sustainable aspect of energy. In developing the Business Intelligence & Analytics framework, we have considered Design Science Research in information systems guidelines. We have designed a process for carrying out Design Science Research by describing the demarche to develop information artifacts, which are the essence of a Business Intelligence & Analytics system. The information artifacts, such as data source, preprocessed data, initial and final data model, as well as data visualizations, are designed and implemented in order to support clean and affordable energy data analysis. The proposed research model, applied for Romania in this paper, serves as a point of departure for investigating data in a more integrated way, and can be easily applied to another country case study.

scholarly journals Factors Related to the Quality of Computer Science Teacher Education Courses: A Public Data Analysis

2021 ◽  
Vol 29 ◽  
pp. 209-226
Author(s):  
Andre Menolli ◽  
Andrey Bragagnolo ◽  
Rafael Figueira Gonçalves ◽  
Joao Coelho Neto
Keyword(s):  
Teacher Education ◽  
Data Analysis ◽  
Science Teacher ◽  
Design Science ◽  
Science Teacher Education ◽  
Science Research ◽  
Design Science Research ◽  
Public Data ◽  
Education Courses

O pensamento computacional vem ganhando importância na Educação Básica, como instrumento para o desenvolvimento da aprendizagem, e os cursos de Informática, com foco na formação de professores, são responsáveis pela formação de profissionais para fomentá-la. Assim, utilizando o método Design Science Research, foi definido e implantado um método de análise de dados públicos. Uma vez que o método foi implantado, foram analisados dados de Instituições de Ensino Superior do Brasil e dados do Exame Nacional de Desempenho de Estudantes (ENADE). Explorou-se o perfil dos cursos e alunos de Licenciatura em Computação, com foco em compreender, como as diferentes constatações sobre esses cursos se relacionam com a qualidade do curso. Os resultados mostram que muitos fatores estão relacionados ao desempenho do curso no ENADE, tanto fatores associados aos alunos matriculados nos cursos, quanto fatores associados aos cursos e instituições. Por fim, este artigo apresenta uma visão geral dos cursos de formação de professores de informática no Brasil, considerando as qualidades do curso.

scholarly journals Conceptual Model for SMEs' Data Maturity Assessment

2021 ◽  
Author(s):  
Blaž Gašperlin ◽  
Keyword(s):  
Design Science ◽  
Science Research ◽  
Digital Transformation ◽  
Research Approach ◽  
Maturity Model ◽  
Manufacturing Companies ◽  
Capability Maturity ◽  
Additional Challenge ◽  
Digital Enterprise ◽  
Rapid Shift

Digital transformation has brought about a rapid shift towards a completely digital enterprise, generating a huge amount of data. Most small and medium-sized enterprises (SMEs) have data stored in different places, formats, and systems, or are unaware that it exists (Dark Data). While digital technologies are at the root of rapid data growth within and outside organizations, sharing and exchanging data between organizations presents an additional challenge. We argue that one of the barriers to the successful digital transformation of SMEs is data immaturity. The concept of data maturity has been addressed from different aspects (data quality, governance,...), in specific domains (supply chain management, manufacturing companies,...) and from the perspective of the Capability Maturity Model. However, there has been no study that has addressed a comprehensive assessment of data maturity for the SME sector as a multi-criteria problem. In this research, we propose to combine the ideas of maturity models and multicriteria decision modeling by using a design science research approach. The developed model will help SMEs assess their data maturity level and help them understand what aspects of data maturity they need to advance, what steps they need to take, and how to evaluate their progress

Onchocerciasis in Osse, Ondo State, Nigeria: Effectiveness of Motivational Strategies in Sustaining Compliance with Community Ivermectin Therapy

2002 ◽  
Vol 21 (2) ◽  
pp. 177-189
Author(s):  
O. U. Manafa ◽  
T. S. Awolola ◽  
A. N. Isamah
Keyword(s):  
Community Intervention ◽  
Intervention Group ◽  
Control Group ◽  
Group Discussions ◽  
Participant Satisfaction ◽  
Attitudes And Practices ◽  
Ondo State ◽  
Set Up ◽  
High Level ◽  
Knowledge Attitudes And Practices

A study in human Onchocerciasis was undertaken in four endemic communities in Ondo State, Nigeria. In-depth interviews were conducted on peoples' knowledge, attitudes, and practices regarding Onchocerciasis aetiology, treatment, prevention, and symptoms. These were complemented by key informant interviews and focus group discussions. Based on this information, an educational program was set up which included the training of selected villagers (motivators) and community intervention organized by these motivators. Evaluation used a control group where intervention was focused on other health problems in the area. Onchocerciasis education took place only with the intervention group. At the start of the project, peoples' knowledge about Onchocerciasis, its cause, treatment, prevention, and symptoms were varied and only a small proportion could link the bite of the blackfly to Onchocerciasis. The educational intervention achieved a high level of participant satisfaction which was expressed in continuous attendance at workshops and keeping appointments with motivators. The intervention helped to bring a significant improvement in the knowledge, attitudes, and practices (KAP) of the respondents. The knowledge of Onchocerciasis aetiology increased to 79.8 percent, 71.5 percent, and 74 percent from 48.5 percent, 48.7 percent, 34 percent, and 45 percent pre-intervention in the four study areas used. The project demonstrated that a community-based health education can be effective in Onchocerciasis control.

scholarly journals Developing a BIM-Based MUVR Treadmill System for Architectural Design Review and Collaboration

2021 ◽  
Vol 11 (15) ◽  
pp. 6881
Author(s):  
Calvin Chung Wai Keung ◽  
Jung In Kim ◽  
Qiao Min Ong
Keyword(s):  
Architectural Design ◽  
Human Locomotion ◽  
Virtual Space ◽  
Design Stage ◽  
Design Review ◽  
Team Members ◽  
Physical Constraints ◽  
Simulated Environment ◽  
Set Up ◽  
High Level

Virtual reality (VR) is quickly becoming the medium of choice for various architecture, engineering, and construction applications, such as design visualization, construction planning, and safety training. In particular, this technology offers an immersive experience to enhance the way architects review their design with team members. Traditionally, VR has used a desktop PC or workstation setup inside a room, yielding the risk of two users bump into each other while using multiuser VR (MUVR) applications. MUVR offers shared experiences that disrupt the conventional single-user VR setup, where multiple users can communicate and interact in the same virtual space, providing more realistic scenarios for architects in the design stage. However, this shared virtual environment introduces challenges regarding limited human locomotion and interactions, due to physical constraints of normal room spaces. This study thus presented a system framework that integrates MUVR applications into omnidirectional treadmills. The treadmills allow users an immersive walking experience in the simulated environment, without space constraints or hurt potentialities. A prototype was set up and tested in several scenarios by practitioners and students. The validated MUVR treadmill system aims to promote high-level immersion in architectural design review and collaboration.

Interactive Data Analysis of the 1980 Election

1983 ◽  
Vol 38 ◽  
pp. 2-3
Author(s):  
Jon A. Christopherson ◽  
Phillip J. Heyl
Keyword(s):  
Data Analysis ◽  
Voting Behavior ◽  
Social Science Research ◽  
Science Research ◽  
Coast Guard ◽  
Dartmouth College ◽  
Time Sharing ◽  
Batch Mode ◽  
Interactive Data Analysis ◽  
Interactive Data

By introducing data analysis techniques, analyzing current research in voting behavior, and using the computer for social science research, introductory American Government courses on the undergraduate level are undertaking ambitious goals. Using the SETUPS units for each presidential election since 1972, cadets at the Coast Guard Academy have engaged in a comprehensive approach to the study of American electoral behavior in an interactive data analysis mode. Although SETUPS modules are run at most colleges and universities in batch mode, there are imitations and drawbacks to batch mode. The Coast Guard Academy is able to utilize interactive data analysis as a result of its time-sharing arrangement with the Dartmouth College Time Sharing System (DCTS). In this article we will discuss the use of SETUPS in an interactive mode using the CIDAR interactive data analysis system.

scholarly journals Using Blockchain Technology to Foster Collaboration among Shippers and Carriers in the Trucking Industry: A Design Science Research Approach

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 37
Author(s):  
Serkan Alacam ◽  
Asli Sencer
Keyword(s):  
Private Information ◽  
Design Science ◽  
Science Research ◽  
Trucking Industry ◽  
Research Approach ◽  
Blockchain Technology ◽  
Storage Solutions ◽  
Sustainability Problems ◽  
And Storage ◽  
Industry Professionals

In the global trucking industry, vertical collaboration between shippers and carriers is attained by intermediaries, called brokers. Brokers organize carriers for a shipper in accordance with its quality and price requirements, and support carriers to collaborate horizontally by sharing a large distribution order from a shipper. Brokers also act as trustees, preventing the passing of private information of any party to the others. Despite these benefits, intermediaries in the trucking industry are involved in several sustainability problems, including high costs, high levels of carbon emissions, high percentages of empty miles, low-capacity utilizations, and driver shortages. Several studies have acknowledged the importance of improving collaboration to address these problems. Obviously, the major concern of brokers is not collaboration, but rather to optimize their own gains. This paper investigates the potential of blockchain technology to improve collaboration in the trucking industry, by eliminating brokers while preserving their responsibilities as organizers and trustees. This paper extends the transportation control tower concept from the logistics literature, and presents a system architecture for its implementation through smart contracts on a blockchain network. In the proposed system, the scalability and privacy of trucking operations are ensured through integration with privacy-preserving off-chain computation and storage solutions (running outside of the blockchain). The potential of this design artifact for fostering collaboration in the trucking industry was evaluated by both blockchain technology experts and trucking industry professionals.

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