IGA-Based User Evaluation Driven Optimization Design of Forklift Styling

Abstract

Considering the requirements for efficiency and precision in the forklift styling, the authors developed the forklift optimizing system for its styling based on the interactive genetic algorithms (IGA). The system includes parameter optimization, color optimization and part combination three modules. The parameter optimization module can find the user defined parameters of the forklift 3D models and generate new models. Color optimization module can group the model surfaces and render the groups with different color. New color plans are generated through random changing of the colors in each group. The parts combination module divides forklift into several parts and build lib for each part. The module can pick parts from the lib and assemble them into a whole forklift and demonstrate them. The thesis developed a protosystem on the Solidworks platform with VBA programming tools. Interactive genetic algorithms are applied to realize the three module’s function.

Evaluation model for modular children's wooden storage cabinet design

“…Retaining the valid demand and combining it with AHP allows access to evaluation guidelines for a specific single product while ensuring the comprehensiveness of the guidelines (Singh et al 2020;Shahriar 2022). In addition, the House of Quality matrix based on Quality Function Deployment (QFD) requirements transformation, combining the Function-Behavior-Structure (FBS) design model and the fuzzy clustering method, and Interactive Genetic Algorithms (IGA) have been used to carry out design evaluations of industrial products, especially modular products that can be flexibly combined (Fujita 2002;Fujita and Yoshida 2004;Lu et al 2012;Zhang et al 2013;Mamaghani and Barzin 2019;Weng 2021). In summary, in order to realize the design evaluation of segmented furniture categories, it is the most suitable research idea at present to form a composite evaluation model with Kano model, hierarchical analysis, and grey relational analysis.…”