Dynamic modelling of customer preferences for product design using DENFIS and opinion mining

202402 bcchAccepted ManuscriptOthersThe Hong Kong Polytechnic UniversityPublishedGreen (AAM

Synergistic use of AHP and trust matrix in collaborative decision making

Multiple-person decision making (MPDM) considers individual ideas with respect to several criteria. One difficult point is how to aggregate ideas from Decision Makers (DM) of diverse backgrounds without information loss. This paper describes a synergistic methodology using three existing decision making methods (AHP, Ideal Value method and Trust Matrices). The new methodology examines the trustworthiness of each DM with respect to professional skills, gender, and non-professional aspects; then, goes further regarding each attribute. By combining AHP, Ideal Value method and Trust Matrices the new methodology can minimize information loss, which happens frequently in traditional MPDM methods, and better represents the true opinions of decision makers with less bias. Finally, a case study will show how to apply this new approach

A risk-based approach to drive conceptual design taking into account low-maturity products

The presence of immature concepts makes difficult decision making at upstream phase of a development project. Rework tasks in collaborative development projects dealing with immature design concepts are very frequent and are responsible of cost overruns and schedule delays. In addition, decisions taken during conceptual design stage have the most important influence on product life cycle cost. In this context, a useful practice is to develop two or more concepts in parallel and delay decision making. Even so, a first screening of concepts is usually needed because of the substantial resources and time required in development phase. In this paper, an approach of concepts screening is proposed at conceptual design phase on the basis of two metrics.The first assesses ability of concepts to meet requirements with integration of maturity. Fuzzy logic tools are used to capture and propagate imprecision in embodiment design choices and behavior models. The second metric aims to assess expected performance of novel concepts compared with an existent product. It uses generalized ordered weighted averaging (GOWA) operator. A parametric aggregation function is also proposed as a support when using the two metrics. The proposed approach was applied to the development of a solar collector