Formulating preliminary design optimization problems using expert knowledge: Application to wood-based insulating materials. (February 2018)

• Record Type: Journal Article
• Authors: Hobballah, Mohamad Hussein; Ndiaye, Amadou; Michaud, Franck; Irle, Mark
• Is Part Of: Expert systems with applications. Volume 92(2018)
• Page Start: 95
• Page End: 105
• Publication Date: 2018-02
• Subjects: Knowledge acquisition -- Knowledge domain decomposition -- Experts knowledge -- Causal maps -- Bio-based material -- Thermal insulation; Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2017.09.035
• Languages: English
• ISSNs: 0957-4174

Abstract

Highlights: Knowledge acquisition method of establishing optimization's objective functions. Planning acquisition sessions through a decomposition of knowledge domain. Rating sub-domains according to their importance and ease of acquisition. Causal mapping of expert knowledge. Multidisciplinary knowledge integration based on merging causal maps. Abstract: The design of wood-fiber based thermal insulating material with optimized properties and characteristics requires a good scientific knowledge of the latter. Currently, the technical, economic and ecological characteristics of a wood-fiber based composite mat are not well known. This article presents a methodology for the acquisition of expert knowledge so that the properties and characteristics can be modeled. The knowledge domain is multidisciplinary and it was delimited and decomposed into disciplines and domains of expertise. A panel of seven experts was constituted to cover the various disciplines and domains of expertise of the knowledge domain. Knowledge acquisition sessions, guided by the estimated importance and the availability of knowledge, were conducted using semi-structured interviews and the mapping of the existing causal relations between variables. A causal map was established to represent the causal knowledge of each of the experts and then, the established causal maps were assembled into a unique global causal map, which was subsequently validated by the experts. It contains the information necessary for formulating the properties and characteristics to be optimized, which were: thermal conductivity; thickness recovery of the material; the manufacturing cost and the product's environmental impact. Properties and characteristics are function of raw material type, their morphological properties and the manufacturing process variables. This methodology makes it possible to establish which objectives to optimize and which variables influence each objective. Consequently, the objective functions of the optimization problem can be clarified, specified and modeled.