scholarly journals Visualization Method for Decision-Making: A Case Study in Bibliometric Analysis

Mathematics ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 940
Author(s):  
Roozbeh Haghnazar Koochaksaraei ◽  
Frederico Gadelha Guimarães ◽  
Babak Hamidzadeh ◽  
Sarfaraz Hashemkhani Zolfani
Keyword(s):  
Decision Making ◽  
Information Visualization ◽  
Combining Data ◽  
Wide Range ◽  
New Strategy ◽  
Tremendous Amount ◽  
And Performance ◽  
User Friendly ◽  
The Impact

Data and information visualization have drawn an increasingly wide range of interest from several academic fields and industries. Concurrently, exploring a huge set of data to support feasible decisions needs an organized method of Multi-Criteria Decision Making (MCDM). The dramatic increasing of data producing during the past decade makes visualization necessary as a presentation layer on the top of MCDM process. This study aims to propose an integrated strategy to rank the alternatives in the dataset, by combining data, MCDM methods, and visualization layers. In fact, the well designed combination of Information Visualization and MCDM provides a more user-friendly approach than the traditional methods. We investigate a case study in bibliometric analyses, which have become an important dimension and tool for evaluating the impact and performance of researchers, departments, and universities. Hence, finding the best and most reliable papers, authors, and publishers considering diverse criteria is one of the important challenges in science world. Therefore, this text is presenting a new strategy on the bibliometric dataset as a case study and it demonstrates that this strategy can be more meaningful for the end users than the current tools. Finally, the presented simulations illustrate the performance and utilization of this combination. In other words, the researchers of this study could design and implement a tool that overcomes the biggest challenges of data analyzing and ranking via a combination of MCDM and visualization methodologies that can provide a tremendous amount of insight and information from a massive dataset in an efficient way.

scholarly journals Justification of RFID Implementation. A Case Study of White Goods Manufacturer

2017 ◽  
Vol 8 (4) ◽  
pp. 91-104
Author(s):  
Bartlomiej Gladysz ◽  
Katarzyna Nalepa ◽  
Krzysztof Santarek
Keyword(s):  
Decision Making ◽  
Radio Frequency Identification ◽  
Early Stage ◽  
Careful Analysis ◽  
New Method ◽  
Rfid Technology ◽  
Wide Range ◽  
The Impact ◽  
White Goods

Abstract Radio Frequency Identification (RFID) is a rapidly emerging technology with a wide range of impact and still not fully exploited potential applications. The impact of RFID is not limited to the area of its direct application. There are many possible benefits to be gained from RFID application, but it must be preceded with careful analysis as its implementation is not always reasonable. A new method for an assessment of RFID technology was presented and explained on the case of a white goods manufacturer. There was a lack of such a method allowing for relatively quick and flexible assessment, which is important for decision makers, who do not want to become involved in very sophisticated and time-consuming analysis at the early stage of decision making. The method supports early phases of decision making related to RFID implementation. Conclusions derived from the analysis of the case study confirmed that the method applied allows for rationalizing decision making and answers whether RFID could generate strategic advantage, in which area RFID should be applied, how RFID-supported processes will be executed and what benefits would be expected. previous papers focused only on answering specific questions from the above list, without showing a holistic approach. the approach to answer questions about execution of processes and benefits was not considered earlier at all. The paper illustrates details of using a new method of an assessment of RFID technology (ART) using a real industrial example.

scholarly journals Decision-Making Processes in Controlling Exposure to Sunlight Supported by Simulation Tools: A Case Study in Warm Weather

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4100
Author(s):  
Mariana Huskinson ◽  
Antonio Galiano-Garrigós ◽  
Ángel Benigno González-Avilés ◽  
M. Isabel Pérez-Millán
Keyword(s):  
Decision Making ◽  
Global Analysis ◽  
Energy Performance ◽  
Information Modeling ◽  
The European Union ◽  
Evaluation Tool ◽  
Simulation Tools ◽  
Building Information ◽  
The Impact

Improving the energy performance of existing buildings is one of the main strategies defined by the European Union to reduce global energy costs. Amongst the actions to be carried out in buildings to achieve this objective is working with passive measures adapted to each type of climate. To assist designers in the process of finding appropriate solutions for each building and location, different tools have been developed and since the implementation of building information modeling (BIM), it has been possible to perform an analysis of a building’s life cycle from an energy perspective and other types of analysis such as a comfort analysis. In the case of Spain, the first BIM environment tool has been implemented that deals with the global analysis of a building’s behavior and serves as an alternative to previous methods characterized by their lack of both flexibility and information offered to designers. This paper evaluates and compares the official Spanish energy performance evaluation tool (Cypetherm) released in 2018 using a case study involving the installation of sunlight control devices as part of a building refurbishment. It is intended to determine how databases and simplifications affect the designer’s decision-making. Additionally, the yielded energy results are complemented by a comfort analysis to explore the impact of these improvements from a users’ wellbeing viewpoint. At the end of the process the yielded results still confirm that the simulation remains far from reality and that simulation tools can indeed influence the decision-making process.

scholarly journals Evaluating the efficacy of technical measures: a case study of selection device legislation in the UK Crangon crangon (brown shrimp) fishery

2008 ◽  
Vol 65 (2) ◽  
pp. 267-275 ◽  
Author(s):  
Tom L. Catchpole ◽  
Andrew S. Revill ◽  
James Innes ◽  
Sean Pascoe
Keyword(s):  
Brown Shrimp ◽  
Crangon Crangon ◽  
Shrimp Fishery ◽  
The North ◽  
Ex Post ◽  
Wide Range ◽  
The Uk ◽  
The Impact ◽  
Technical Measures

Abstract Catchpole, T. L., Revill, A. S., Innes, J., and Pascoe, S. 2008. Evaluating the efficacy of technical measures: a case study of selection device legislation in the UK Crangon crangon (brown shrimp) fishery. – ICES Journal of Marine Science, 65: 267–275. Bycatch reduction devices are being introduced into a wide range of fisheries, with shrimp and prawn fisheries particularly targeted owing to the heavy discarding common in these fisheries. Although studies are often undertaken to estimate the impact of a technical measure on the fishery before implementation, rarely have the impacts been assessed ex post. Here, the efficacy of the UK legislation pertaining to the use of sievenets in the North Sea Crangon crangon fishery is assessed. Three impacts were evaluated: on fisher behaviour (social), on the level of bycatch (biological), and on vessel profitability (economic). An apparent high level of compliance by skippers was identified despite a low level of enforcement. The estimated reduction in fleet productivity following the introduction of the legislation was 14%, equalling the mean loss of Crangon landings when using sievenets calculated from catch comparison trawls. Sievenets did reduce the unnecessary capture of unwanted marine organisms, but were least effective at reducing 0-group plaice, which make up the largest component of the bycatch. Clearly the legislation has had an effect in the desired direction, but it does not address sufficiently the bycatch issue in the Crangon fishery.

Impact of CEDIT recommendations: An example of health technology assessment in a hospital network

2006 ◽  
Vol 22 (2) ◽  
pp. 161-168 ◽  
Author(s):  
Florence Bodeau-Livinec ◽  
Emmanuelle Simon ◽  
Catherine Montagnier-Petrissans ◽  
Marie-Eve Joël ◽  
Elisabeth Féry-Lemonnier
Keyword(s):  
Decision Making ◽  
Technology Assessment ◽  
Health Technology ◽  
Technological Innovations ◽  
Administrative Staff ◽  
Good Match ◽  
French Hospital ◽  
The Impact ◽  
Widespread Interest

Objectives: The objective of this study is to assess the impact of CEDIT (French Committee for the Assessment and Dissemination of Technological Innovations) recommendations on the introduction of technological innovations within the AP-HP (Assistance Publique–Hôpitaux de Paris), the French hospital network to which this body is attached.Methods: In 2002, a study based on semidirective interviews of fourteen people affected by these recommendations and a case study relating to thirteen recommendations issued between 1995 and 1998 were conducted.Results: The CEDIT is very scientifically reputable among interviewees. There is generally widespread interest for the recommendations. They are used as decision-making tools by administrative staff and as negotiating instruments by doctors in their dealings with management. Based on the case study, ten of thirteen recommendations had an impact on the introduction of the technology in health establishments. One recommendation appears not to have had an impact. Furthermore, the impact of two technologies was impossible to assess.Conclusions: This study highlights the significant impact of recommendations arising from a structure that is attached to a hospital network and the good match between CEDIT's objectives and its assignments.

scholarly journals How Do Political Features Influence the Co-Production of Government Projects? A Case Study of a Medium-Sized Chinese City

2021 ◽  
Vol 13 (14) ◽  
pp. 7600
Author(s):  
Wenting Ma ◽  
Rui Mu ◽  
Martin de Jong
Keyword(s):  
Performance Measurement ◽  
Critical Role ◽  
Chinese City ◽  
Production Stages ◽  
Political Background ◽  
The Government ◽  
And Performance ◽  
Western Experience ◽  
The Impact

Co-production is a solution by which the government provides public services. Co-production theory is built upon Western experience and currently focuses on the types of co-production in different policy stages, the barriers and governance strategies for co-production. However, little attention is paid to how political background will influence the co-production process. To fill the gap, we analyzed a case of co-production that occurred in China, and we characterized the political background as consisting of three main political features: political mobility, central–local relations, and performance measurement. Based on an in-depth case study of a government project in a medium-sized Chinese city, the impact and the changes of political features affecting governmental projects in different co-production stages are analyzed and assessed. We find that political features play a critical role in the co-production of China’s large government projects and may separately and jointly affect co-production. Government performance measurement affects the co-design and co-implementation of projects. Political mobility and changes in local government and performance measurement also affect the co-implementation continuity of the project. Political focus affects the co-design of projects. Central-local relations influence the support from higher government and the actual practices of lower government in the co-implementation stage.

Level of Automation Forms a Key Aspect of Autonomy Design

2017 ◽  
Vol 12 (1) ◽  
pp. 29-34 ◽  
Author(s):  
Mica R. Endsley
Keyword(s):  
Situation Awareness ◽  
Interface Design ◽  
Human Performance ◽  
Human Cognition ◽  
Level Of Automation ◽  
Out Of The Loop ◽  
Wide Range ◽  
Levels Of Automation ◽  
And Performance ◽  
The Impact

The concept of different levels of automation (LOAs) has been pervasive in the automation literature since its introduction by Sheridan and Verplanck. LOA taxonomies have been very useful in guiding understanding of how automation affects human cognition and performance, with several practical and theoretical benefits. Over the past several decades a wide body of research has been conducted on the impact of various LOAs on human performance, workload, and situation awareness (SA). LOA has a significant effect on operator SA and level of engagement that helps to ameliorate out-of-the-loop performance problems. Together with other aspects of system design, including adaptive automation, granularity of control, and automation interface design, LOA is a fundamental design characteristic that determines the ability of operators to provide effective oversight and interaction with system autonomy. LOA research provides a solid foundation for guiding the creation of effective human–automation interaction, which is critical for the wide range of autonomous and semiautonomous systems currently being developed across many industries.

scholarly journals Facilitating spatially-explicit assessments of ecosystem service delivery to support land use planning

One Ecosystem ◽  
2020 ◽  
Vol 5 ◽  
Author(s):  
Dirk Vrebos ◽  
Jan Staes ◽  
Steven Broekx ◽  
Leo de Nocker ◽  
Karen Gabriels ◽  
...  
Keyword(s):  
Decision Making ◽  
Land Use ◽  
Ecosystem Services ◽  
Ecosystem Service ◽  
Assessment Tools ◽  
Spatially Explicit ◽  
Practical Implementation ◽  
Time Investment ◽  
Wide Range ◽  
The Impact

Since the early 2000s, there have been substantial efforts to transform the concept of ecosystem services into practice. Spatial assessment tools are being developed to evaluate the impact of spatial planning on a wide range of ecosystem services. However, the actual implementation in decision-making remains limited. To improve implementation, tools that are tailored to local conditions can provide accurate, meaningful information. Instead of a generic and widely-applicable tool, we developed a regional, spatially-explicit tool (ECOPLAN-SE) to analyse the impact of changes in land use on the delivery of 18 ecosystem services in Flanders (Belgium). The tool incorporates ecosystem services relevant to policy-makers and managers and makes use of detailed local data and knowledge. By providing an easy-to-use tool, including the required spatial geodatasets, time investment and the learning curve remain limited for the user. With this tool, constraints to implement ecosystem service assessments in local decision-making are drastically reduced. We believe that region-specific decision support systems, like ECOPLAN-SE, are indispensable intermediates between the conceptual ecosystem service frameworks and the practical implementation in planning processes.

scholarly journals HR analytics a roadmap for decision making: case study

2019 ◽  
Vol 15 (2) ◽  
pp. 979 ◽  
Author(s):  
Brahim Jabir ◽  
Noureddine Falih ◽  
Khalid Rahmani
Keyword(s):  
Operating System ◽  
Decision Making ◽  
Literature Review ◽  
Human Resources ◽  
Management Model ◽  
Amount Of Information ◽  
Vast Amount ◽  
The People ◽  
The Impact

<p>In the socio-economic world, the human resources are in the most top phase of the enterprise evolution. This evolution began when the arithmetic, statistics are applicable over a vast of opportunities and used to identify problems and support decision. However, analytics has been emerged to provide predictions and understand the people performance based on available data.</p>In light of this vast amount of information, human resources services need to deploy a predictive management model and operating system of analytics that can be an efficient and an instead solution that can respond to the gaps of the traditional existing ones and facilitate the decision making. In this paper, we present a literature review of this HR analytics concept and a case study concerning the impact of interventions using an analytics solution.<p> </p>

Implementation of Business Intelligence in Product Services a Banking (Case Study: PT Bank Sumsel Babel Baturaja Branch)

2017 ◽  
Vol 9 (2) ◽  
Author(s):  
Sekar Sari Wiradarma ◽  
Ken Dhita Tania ◽  
Dinna Yunika Hardiyanti
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Quality Information ◽  
Product Data ◽  
Product Service ◽  
History Of ◽  
Adaptive Nature ◽  
User Friendly ◽  
Intelligence Application

AbstractBusiness Intelligence (BI) is a collection of theories, methodologies, processes, architectures, and technologies that convert raw data into quality information for business purposes. BI can handle a large amount of information that can help in identifying problems and developing new opportunities. In designing and implementing Business Intelligence (BI) concept for monitoring banking product service using reference business intelligence roadmap approach. Business intelligence roadmap is one example of BI development that can be emulated because of its agile and adaptive nature and is intended to support the development of BI. By utilizing Business Intelligence application on transaction history of banking product data, it is hoped able to produce information that can support in giving recommendation and decision making appropriately. The data and information generated also become more accessible and easier to understand (user friendly).Keywords: business intelligence, business intelligence roadmap, OLAP, banking products

Uncertainty Analysis of Inflow Conditions on an HPT Gas Turbine Nozzle: Effect on Particle Deposition

2020 ◽  
Author(s):  
R. Friso ◽  
N. Casari ◽  
M. Pinelli ◽  
A. Suman ◽  
F. Montomoli
Keyword(s):  
Gas Turbine ◽  
Energy Efficient ◽  
Gas Turbines ◽  
Particle Deposition ◽  
Operating Conditions ◽  
Wide Range ◽  
And Performance ◽  
Gas Turbine Nozzle ◽  
The Impact ◽  
Inflow Conditions

Abstract Gas turbines (GT) are often forced to operate in harsh environmental conditions. Therefore, the presence of particles in their flow-path is expected. With this regard, deposition is a problem that severely affects gas turbine operation. Components’ lifetime and performance can dramatically vary as a consequence of this phenomenon. Unfortunately, the operating conditions of the machine can vary in a wide range, and they cannot be treated as deterministic. Their stochastic variations greatly affect the forecasting of life and performance of the components. In this work, the main parameters considered affected by the uncertainty are the circumferential hot core location and the turbulence level at the inlet of the domain. A stochastic analysis is used to predict the degradation of a high-pressure-turbine (HPT) nozzle due to particulate ingestion. The GT’s component analyzed as a reference is the HPT nozzle of the Energy-Efficient Engine (E3). The uncertainty quantification technique used is the probabilistic collocation method (PCM). This work shows the impact of the operating conditions uncertainties on the performance and lifetime reduction due to deposition. Sobol indices are used to identify the most important parameter and its contribution to life. The present analysis enables to build confidence intervals on the deposit profile and on the residual creep-life of the vane.

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