A decision support framework and prototype for aircraft dispatch assessment

Koornneef, Hemmo; Verhagen, Wim J. C.; Curran, Richard

doi:10.1016/j.dss.2020.113338

Cited by 11 publications

(9 citation statements)

References 30 publications

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“…As approached in [72], a Decision Support System (DSS) provides a better decision analysis, in this way, and to support effective implementation of the new proposal, a web platform has been developed [73], in search to assist the understanding and application of the modeling, presenting a friendly interface by its numerical and graphical analysis. Moreover, the software was registered with the Brazilian National Institute of Industrial Property (INPI/BR).…”

Section: The Proposed Approachmentioning

confidence: 99%

PROMETHEE-SAPEVO-M1 a Hybrid Approach Based on Ordinal and Cardinal Inputs: Multi-Criteria Evaluation of Helicopters to Support Brazilian Navy Operations

et al. 2021

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This paper presents a new approach based on Multi-Criteria Decision Analysis (MCDA), named PROMETHEE-SAPEVO-M1, through its implementation and feasibility related to the decision-making process regarding the evaluation of helicopters of attack of the Brazilian Navy. The proposed methodology aims to present an integration of ordinal evaluation into the cardinal procedure from the PROMETHEE method, enabling to perform qualitative and quantitative data and generate the criteria weights by pairwise evaluation, transparently. The modeling provides three models of preference analysis, as partial, complete, and outranking by intervals, along with an intra-criterion analysis by veto threshold, enabling the analysis of the performance of an alternative in a specific criterion. As a demonstration of the application, is carried out a case study by the PROMETHEE-SAPEVO-M1 web platform, addressing a strategic analysis of attack helicopters to be acquired by the Brazilian Navy, from the need to be evaluating multiple specifications with different levels of importance within the context problem. The modeling implementation in the case study is made in detail, first performing the alternatives in each criterion and then presenting the results by three different models of preference analysis, along with the intra-criterion analysis and a rank reversal procedure. Moreover, is realized a comparison analysis to the PROMETHEE method, exploring the main features of the PROMETHEE-SAPEVO-M1. Moreover, a section of discussion is presented, exposing some features and main points of the proposal. Therefore, this paper provides a valuable contribution to academia and society since it represents the application of an MCDA method in the state of the art, contributing to the decision-making resolution of the most diverse real problems.

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Section: The Proposed Approachmentioning

confidence: 99%

PROMETHEE-SAPEVO-M1 a Hybrid Approach Based on Ordinal and Cardinal Inputs: Multi-Criteria Evaluation of Helicopters to Support Brazilian Navy Operations

et al. 2021

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“…Os pressupostos da moderna contabilidade de gestão tornaram-se amplamente difundidos no meio empresarial, quando estudiosos e práticos da área contabilística se mostraram insatisfeitos com os rumos que a gestão financeira estava tomando, uma vez que os tradicionais sistemas de contabilidade e de custos não estavam sendo capazes de promover as informações necessárias para transformou-se em uma oportunidade para o desenvolvimento de sistemas de suporte à tomada de decisão, que podem contribuir com o aperfeiçoamento do controle estratégico nas organizações (Koornneef et al, 2020). Dispositivos de bi&a, dessa forma, são sistemas desenhados para promover e realçar o conhecimento, melhorar a compreensão de determinados fenômenos pelos tomadores de decisão e impulsionar a performance organizacional (Herschel e Jones, 2005).…”

Section: Contabilidade De Gestãounclassified

A adoção de sistemas de Business Intelligence & Analytics na contabilidade de gestão por entidades da Administração Pública

Pontes

Andrade

2021

Rev. fac. cien. econ.

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O presente trabalho examina os artigos publicados entre 2001 e 2020 que versam sobre a utilização de sistemas de Business Intelligence & Analytics (BI&A) pela contabilidade de gestão no setor público. A partir de uma revisão de 54 trabalhos, foi possível dividir as pesquisas em cinco clusters de acordo com o foco da investigação: BI&A e gestão da infraestrutura urbana; papel da informação na gestão da contabilidade governamental; performance nas unidades governamentais; avaliação de sistemas de gestão de desempenho; big data e suas aplicações. O estudo de caso foi a metodologia dominante na amostra, e prevaleceu a utilização dos pressupostos da New Public Management como embasamento teórico dos autores. Entre os principais resultados, concluiu-se que a aplicação dos modernos sistemas de informação impacta positivamente o conhecimento, a tomada de decisão e a performance nas organizações públicas, desde que acompanhada por treinamento, engajamento e aceitação dos dispositivos por parte dos agentes envolvidos. Sugestão de uma agenda futura de pesquisa é apresentada com base nas lacunas identificadas na amostra.

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“…Unaided maintenance management decisions can lead to delays and make maintenance more costly for organizations [12]. In addition to dealing with specialized labor and technical spare parts, maintenance can impact productivity due to the reliability and maintainability of physical assets [13,14].…”

Section: Support For Maintenance Decision-makingmentioning

confidence: 99%

Deciding a Multicriteria Decision-Making (MCDM) Method to Prioritize Maintenance Work Orders of Hydroelectric Power Plants

et al. 2021

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The current global competitive scenario and the increase in complexity and automation of equipment and systems demand better results from maintenance management in organizations. As maintenance resources are limited, prioritizing maintenance activities is essential to allocate them properly and to meet maintenance management objectives. In the face of these challenges, multicriteria decision-making (MCDM) methods are commonly used in organizations to support decision-making. Nevertheless, selecting a suitable MCDM method for maintenance planning can be complicated given the diversity of methods and their strengths and weaknesses. In this context, this paper proposes a novel knowledge-based method for deciding a multicriteria decision-making (MCDM) method to prioritize maintenance work orders of hydroelectric plants. As the main novel contribution, it translates the intrinsic characteristics of the main MCDM methods into questions related to maintenance planning to guide the recommendation of a suitable MCDM method for organizations through a decision tree diagram. This approach was applied to a maintenance case study of a hydroelectric power plant in order to demonstrate its use and contribute to its understanding. These findings contribute to maintenance management in selecting an MCDM method aligned with the context of its maintenance planning for the prioritization of maintenance work orders.

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A decision support framework and prototype for aircraft dispatch assessment

Cited by 11 publications

References 30 publications

PROMETHEE-SAPEVO-M1 a Hybrid Approach Based on Ordinal and Cardinal Inputs: Multi-Criteria Evaluation of Helicopters to Support Brazilian Navy Operations

PROMETHEE-SAPEVO-M1 a Hybrid Approach Based on Ordinal and Cardinal Inputs: Multi-Criteria Evaluation of Helicopters to Support Brazilian Navy Operations

A adoção de sistemas de Business Intelligence & Analytics na contabilidade de gestão por entidades da Administração Pública

Deciding a Multicriteria Decision-Making (MCDM) Method to Prioritize Maintenance Work Orders of Hydroelectric Power Plants

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