THE USE OF METHODS FOR OPTIMIZING THE GENETIC ALGORITHM FOR THE COLORS OF A FRACTAL STRUCTURE PATTERN IN CARPET DESIGN

Abstract

Customer satisfaction can be enhanced by reducing the gap between what the customer really needs (customer requirements) and what the manufacturer can provide (product specifications). The carpet industry's customer design approach, in which products are created by converting customer needs into product specifications (in a mass production system) or into product diversity (in a mass customization system), cannot provide optimal satisfaction to all customers. Some carpet buyers are still forced to soften their requirements and agree to a pre-determined product in the assortment. This study proposes a new carpet design concept and an optimal price per customer order to increase customer satisfaction by opening the maximum possible channel for customers so that they can participate in value creation, so that they are no longer only looking for goods, but can, if necessary, involve in the production cycle to specify their own design.. To ensure the viability of the proposed concept, this article presents the integration of the point of separation of the participation of several customers, the analysis of product attributes, crowd screening and a new production strategy. Real resin-based desktop clock products are used as a practical example to test the applicability of the concept and demonstrate its advantages.

Keywords: genetic algorithm, fractal, Pascal triangle, fractal, mutation, optimization, fitness function.