RETRACTED ARTICLE: Toward a novel method to support decision-making process in health and behavioral factors analysis for the composition of IT projects teams

Nunes, Luciano Comin; Pinheiro, Plácido Rogério; Pinheiro, Mirian Calí­ope Dantas; Filho, Marum Simão; Nunes, Rafael Espíndola Comin

doi:10.1007/s00521-018-3830-5

Cited by 5 publications

(4 citation statements)

References 24 publications

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“…In [15], the author use the MACBETH (Measuring Attractiveness by a Categorical-Based Evaluation Technique), authored by [16], which classifies alternatives according to their attractiveness. As a limitation, the author identifies the need for research on possible IT frameworks that can be used to implement the method.…”

Section: Related Workmentioning

confidence: 99%

SOHCO: A Strategy for Constructing Efficient Teams

et al. 2023

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Software engineering is concerned with organizational issues, project management, and human behavior. In the process of constructing a work team, leadership faces the task of evaluating the talents and abilities of each professional and combining them into a cohesive unit that matches the profile of the project. This article describes the SOHCO technique, a strategy for forming work teams that calculates a score for each candidate based on the project profile, as well as a ranking for the work team whose desired objective most closely aligns with the project profile. This article presents exploratory research, an experiment, two real-world case studies, and a comparison of methods using WS and RW coefficients to assess ranking consistency and similarity. Results reveal that SOHCO makes constructing a work team more objective, reduces leadership effort, enhances the ability to evaluate new team arrangements, increases the probability of project success, and reduces training costs. As a limitation, the SOHCO method does not take sub-criteria weights into account.

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Section: Related Workmentioning

confidence: 99%

SOHCO: A Strategy for Constructing Efficient Teams

et al. 2023

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“…As can be seen, the process begins with identifying the decision context and understanding its objectives. These goals should be [40]: a. Essential, considering the motivations and concerns of the decision problem.…”

Section: Model Buildingmentioning

confidence: 99%

Prioritising Maintenance Work Orders in a Thermal Power Plant: A Multicriteria Model Application

Andrade¹,

Pinheiro

Narciso³

et al. 2022

Sustainability

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Maintenance is one of the most rapidly expanding activities in the industrial environment, since its application is no longer limited to simple, regular fixes. In the case of thermal power plants maintenance is essential, since they only operate when the National Electric System Operator wants them to complement the production from renewable sources such as hydro, wind, and solar. To limit the frequency of failures that result in generation unavailability, the operation team performs daily inspections to evaluate the equipment’s condition and the risks to the generating process. If an anomaly is found, the maintenance team will create service notes to address it. This research aims to demonstrate how the method Measuring Attractiveness by a Category-Based Evaluation Technique (Macbeth) can be applied to the development of a multiple-criterion model to support decision making in ordering the criticality of systems in thermal plant operational inspection routes to propose new methodologies for routine execution to increase the operation team’s productivity. According to the results of the judgement matrix, the recommended ordering enabled a strategy for the performance of the current operational routes by redefining the criticality, periodicity, routing, and resources utilised, hence preserving the plant’s reliability. According to the results, the proposed ranking will enable a new strategy for integrated maintenance planning, redefining the criticality of service orders according to the judgement based on criteria and subcriteria, thereby allowing the application of resources appropriately and focusing on what is more important to maintain the thermal power plant’s continuity and operational safety.

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“…Scholars combined the previous convolutional neural network CNN application with VGG16 and then applied it to face recognition and discarded the previously collected information and then combined the previous CNN to obtain a new model. Compared with the previous ICA algorithm, CNN has achieved significant improvement and image accuracy and recognition rate [15,16]. Some scholars will apply CNN to fault-type problems, monitor the processed signals, and classify them autonomously.…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

Risk Management of Investment Projects Based on Artificial Neural Network

Deng

Chang

2022

Wireless Communications and Mobile Computing

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The benefit evaluation of investment projects is the key to the whole investment activities. This paper mainly describes the risk management of investment projects using an artificial neural network. It generally adopts the index system of project risk through modern scientific measurement methods, to evaluate whether the investment project of artificial neural network is feasible or not. It establishes a benefit evaluation model based on an artificial neural network, from the analysis and consideration of 4 groups of experiments, comparing four sets of data: BP network convergence rate, artificial neural network identification efficiency, enterprise risk, artificial neural network output, and error; it is concluded that the relative risk is reduced by about 20% after using the artificial neural network. This also verifies the feasibility of artificial neural networks in the application of raw materials.

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RETRACTED ARTICLE: Toward a novel method to support decision-making process in health and behavioral factors analysis for the composition of IT projects teams

Cited by 5 publications

References 24 publications

SOHCO: A Strategy for Constructing Efficient Teams

SOHCO: A Strategy for Constructing Efficient Teams

Prioritising Maintenance Work Orders in a Thermal Power Plant: A Multicriteria Model Application

Risk Management of Investment Projects Based on Artificial Neural Network

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