The selection and design of composite materials and its associated manufacturing process is an extremely complex task. This paper presents a Business Decision Support System, implemented in terms of the BPMN and DMN standards, which provides a unified environment supporting interoperability for modelling the phenomena involved in material modelling. The proposed system successfully integrates materials modelling methodologies and knowledge-based systems with business process for decision making. This proposed use of the BPMN and DMN standards provides the missing link between business processes, materials science and engineering workflows in the context of composite material modelling, opening a new horizon in engineering industrial applications. The paper is complemented with an application case, which describes an initial example of successful representation of business process from the material modelling domain that includes decision models implemented with DMN in the chemical domain.

Business decisions modelling in a multi-scale composite material selection framework

Kavka C.;Laurini E.
2018-01-01

Abstract

The selection and design of composite materials and its associated manufacturing process is an extremely complex task. This paper presents a Business Decision Support System, implemented in terms of the BPMN and DMN standards, which provides a unified environment supporting interoperability for modelling the phenomena involved in material modelling. The proposed system successfully integrates materials modelling methodologies and knowledge-based systems with business process for decision making. This proposed use of the BPMN and DMN standards provides the missing link between business processes, materials science and engineering workflows in the context of composite material modelling, opening a new horizon in engineering industrial applications. The paper is complemented with an application case, which describes an initial example of successful representation of business process from the material modelling domain that includes decision models implemented with DMN in the chemical domain.
2018
978-1-5386-4446-1
https://ieeexplore.ieee.org/document/8544386
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2944978
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