Application of Axiomatic Design principles in conceptual design

Delaš, Josipa; Škec, Stanko; Štorga, Mario

doi:10.1051/matecconf/201822301008

Cited by 3 publications

(1 citation statement)

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“…R is a value between 0 and 1. Reangularity relates the angles between the axes of the design parameters, while semiangularity measures the magnitude of the diagonal elements [27][28][29] as follows:…”

Section: Level Assessment Of the Functional Independencementioning

confidence: 99%

Robust design of web services supporting the home administration of drug infusion in pediatric oncology

et al. 2019

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Cancer home care is a sector of particular relevance for the Italian health service. The budget ceilings imposed by public finance pose the need to reduce hospitalisation costs, moving patients from treatment to home care as much as possible. This is especially true in the field of pediatric oncology, where a protected family environment offers a variety of benefits to young patients and their families. However, in order to guarantee adequate assistance services, an integrated information system for management must be devised as the center of gravity of a coordinated network of, even heterogeneous, actors. This paper focuses on the identification and evolving development of web services for regulation and control of home administration of drug infusion in pediatric oncology. The Service Oriented Architecture (SOA) remains the software architecture of reference, whereas the methodological approach is open to a reconsideration of the continuous improvement of the whole process in light of the ceaseless progress of medical science and information technology. In this paper, his goal is achieved by using a methodological design approach that combines the UML modeling based on Case Stories and the process optimization of Axiomatic Design. Case Stories allow the formalization of end users' requirements in UML language, easily interpreted by software developers. On the other hand, Axiomatic Design allows optimizing the design process by identifying the most robust solutions in terms of greater logical coherence and lesser systemic complexity. We analyze a case study focused on the design of web services supporting the home administration of drug infusion, for young cancer patients in home care. Then, we show how the UML-modeling methodology can be used to design new services on the basis of specific Use Cases. Finally, through the Axiomatic design approach we verify the proposed solutions, by identifying the robust set of web services to be implemented.

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Section: Level Assessment Of the Functional Independencementioning

confidence: 99%

Robust design of web services supporting the home administration of drug infusion in pediatric oncology

et al. 2019

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Virtual reality-based assembly-level design for additive manufacturing decision framework involving human aspects of design

Auyeskhan

Steed

Park

et al. 2023

Journal of Computational Design and Engineering

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There is a combinatorial explosion of alternative variants of an assembly design owing to the design freedom provided by Additive Manufacturing. In this regard, a novel Virtual Reality-based decision-support framework is presented herein for extracting the superior assembly design to be fabricated by AM route. It specifically addresses the intersection between human assembly and AM hence combining Design for Assembly, and Design for Additive Manufacturing using Axiomatic Design theory. Several Virtual Reality experiments were carried out to achieve this with human subjects assembling parts. At first, a 2D table is assembled, and the data are used to confirm the independence of nonfunctional requirements such as assembly time and assembly displacement error according to Independence Axiom. Then this approach is demonstrated on an industrial lifeboat hook with three assembly design variations. The data from these experiments are utilized to evaluate the possible combinations of the assembly in terms of probability density based on the Information Axiom. The technique effectively identifies the assembly design most likely to fulfill the nonfunctional requirements. To the authors’ best knowledge, this is the first study that numerically extracts the human aspect of design at an early design stage in the decision process and considers the selection of the superior assembly design in a detailed design stage. Finally, this process is automated using a graphical user interface, which embraces the practicality of the currently integrated framework and enables manufacturers to choose the best assembly design.

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