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A genetic algorithm-based model is introduced to design the optimal or near-optimal platform for large sets of products and features that can be further manufactured by additive and/or subtractive manufacturing to be customized into different product variants.
Abstract: In order to meet the variable planning problem in mass customization, this paper presents a method of genetic algorithm to satisfy a set of customer ...
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This method of product platform planning is validated by a case study of the small-size induction motor design. At last we compare the results from our GA-based ...
Product Platform Planning: an approach using Genetic Algorithm. H. Song, Y ... Product Platform Planning: an approach using Genetic Algorithm. %U http ...
In this paper, we mainly focus on the development of a method for scale-based product platform planning using genetic algorithm (GA) to satisfy a set of
This method of product platform planning is validated by a case study of the small-size induction motor design. At last we compare the results from our GA-based ...
Abstract. Product platform planning paves the way for DFMC (Design for Mass. Customization). In this paper, we mainly focus on the development of a method.
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This study analyzed product styles by applying genetic algorithms and Kansei Engineering Type II (AHP and Quantification Theory Type I). This research ...
Jul 25, 2018 · In this paper, a Genetic Algorithm (GA) and Analytical Hierarchy Process (AHP)- based methodology is propose for the development of modules ( ...
This research proposes the use of and evaluates the performance of Genetic Algorithms (GA), which is based on the principles of natural selection, as an ...