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Analysis of institutional authors

Maria Moreno-Cabezali, BelenAuthorMaria Fernandez-Crehuet, JoseAuthor

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July 15, 2020
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Application of a fuzzy-logic based model for risk assessment in additive manufacturing R&D projects

Publicated to: COMPUTERS & INDUSTRIAL ENGINEERING. 145 (UNSP 106529): 106529- - 2020-07-01 145(UNSP 106529), DOI: 10.1016/j.cie.2020.106529

Authors:

Maria Moreno-Cabezali, Belen; Fernandez-Crehuet, Jose Maria
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Affiliations

Univ Politecn Madrid, ETS Ingn Ind, C Jose Gutierrez Abascal 2, Madrid 28006, Spain - Author

Abstract

Experts from industry and academics have highlighted Additive Manufacturing (AM) as a technology that is revolutionizing manufacturing. AM is a process that consists of creating a three-dimensional object by incorporating layers of a material such as metal or polymer. This research studies risks associated with AM R&D Project Management. A significant set of risks with a potential negative impact on project objectives in terms of scope, schedule, cost and quality are identified through an extensive literature review. These risks are assessed through a survey answered by ninety academics and professionals with noteworthy sector expertise. This process is made by the measurement of two parameters: likelihood of occurrence and impact on project objectives. According to the responses of the experts, the level of relevance of each risk is calculated, innovatively, through a fuzzy logic-based model, specifically developed for this study, implemented in MATLAB Fuzzy Logic Toolbox. The results of this study show that the risks Defects occurring during the manufacturing process, Defective design, Poor communication in the project team and Insufficient financing are determined as the most critical in AM R&D Project Management. The proposed model is presented as a powerful new tool for organizations and academics, to prioritize the risks that are more critical to develop appropriate response strategies to achieve the success of their projects.
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Keywords

3d printers3d printingAdditive manufacturingAdditivesAdvantagesComputer circuitsConstructionCritical success factorsDefectsDesignFrameworkFuzzy logicHuman resource managementInferenceLiterature reviewsManagementManufacturing processMatlab fuzzy logic toolboxParticle emissionsPowder bed fusionProject managementProject objectivesResearch studiesResponse strategiesRisk assessmentSystemsThree-dimensional objectTwo parameter

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal COMPUTERS & INDUSTRIAL ENGINEERING due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2020, it was in position 21/111, thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Science, Interdisciplinary Applications.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 2.07. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 13, 2025)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 3.02 (source consulted: FECYT Mar 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2026-04-25, the following number of citations:

  • WoS: 49
  • Scopus: 60
  • Google Scholar: 85
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-25:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 150.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 150 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 1.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/91709/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 51
  • Downloads: 2
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (MORENO CABEZALÍ, BELÉN MARÍA) and Last Author (FERNANDEZ-CREHUET SANTOS, JOSE MARIA).

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