Journal
HELIYON
Volume 6, Issue 1, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.heliyon.2020.e03182
Keywords
Computational mathematics; Industrial engineering; Fuzzy AHP; Fuzzy weighted average; Design concept selection; Reconfigurable assembly fixture; Multidisciplinary design optimization; Computer-aided design; Manufacturing engineering; Machine design; Mechanical systems; Decision analysis; Decision support tools
Categories
Funding
- Gibela Research-TUT Partnership for Rail Manufacturing and skills Development, Technology Innovation Agency & Tshwane University of Technology Pretoria West, South Africa
Ask authors/readers for more resources
In this article, a novel hybridized Multi-Attribute Decision Model (MADM) is developed to identify an optimal design of a Reconfigurable Assembly Fixture (RAF) from a set of alternative design concepts. The model combines the comparative advantage of Fuzzy Analytic Hierarchy Process (FAHP) and the computational strength of the Fuzzy Weighted Average (FWA) based on left and right scores in order to obtain aggregates for the design alternatives considering the relative importance of the design criteria as needed in the optimal design. The model was applied to evaluate four design concepts of a RAF with six design features having numerous sub-features. Results obtained from the evaluation process shows that there are differences in final values of the design alternatives. However, a close variation exists between these values. These differences can be accrued to the interrelationships between the design features and sub-features obtained from the Fuzzy Synthetic Extent (FSE) of the FAHP and an unambiguity judgment of the FWA when aggregating availability of the design features and sub-features in the design alternatives.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available