Paper Info
Title
A systematic decision making approach for product conceptual design based on fuzzy morphological matrix.
Abstract
Conceptual design plays an important role in development of new products and redesign of existing products. Morphological matrix is a popular tool for conceptual design. Although the morphological-matrix based conceptual design approaches are effective for generation of conceptual schemes, quantitative evaluation to each of the function solution principle is seldom considered, thus leading to the difficulty to identify the optimal conceptual design by combining these function solution principles. In addition, the uncertainties due to the subjective evaluations from engineers and customers in early design stage are not considered in these morphological-matrix based conceptual design approaches. To solve these problems, a systematic decision making approach is developed in this research for product conceptual design based on fuzzy morphological matrix to quantitatively evaluate function solution principles using knowledge and preferences of engineers and customers with subjective uncertainties. In this research, the morphological matrix is quantified by associating the properties of function solution principles with the information of customer preferences and product failures. Customer preferences for different function solution principles are obtained from multiple customers using fuzzy pairwise comparison (FPC). The fuzzy customer preference degree of each solution principle is then calculated by fuzzy logarithmic least square method (FLLSM). In addition, the product failure data are used to improve product reliability through fuzzy failure mode effects analysis (FMEA). Unlike the traditional FMEA, the causality relationships among failure modes of solution principles are analyzed to use failure information more effectively through constructing a directed failure causality relationship diagram (DFCRD). A fuzzy multi-objective optimization model is also developed to solve the conceptual design problem. The effectiveness of this new approach is demonstrated using a real-world application for conceptual design of a horizontal directional drilling machine (HDDM).
Year
DOI
Venue
2017
10.1016/j.eswa.2017.03.074
Expert Syst. Appl.
Keywords
Field
DocType
Conceptual design,Morphological matrix,Customer preference,Fuzzy pairwise comparison,Directed failure causality relationship diagram,Fuzzy multi-objective optimization
Conceptual design,Pairwise comparison,Failure mode and effects analysis,Data mining,Computer science,Matrix (mathematics),Quality function deployment,Fuzzy logic,Artificial intelligence,Logarithm,Machine learning,Conceptual model (computer science)
Journal
Volume
Issue
ISSN
81
C
0957-4174
Citations 
PageRank 
References 
5
0.40
8
Authors
4
Name
Order
Citations
PageRank
Hongzhan Ma182.46
Xuening Chu223821.29
Deyi Xue315019.11
Dexin Chu472.12