We present a platform for integrated CAD/CAPP part design based on Elementary Machining Features (EMF) and intelligent approach for setup planning and operation sequencing based on a genetic algorithm through two papers.In this paper, as Part II of this platform, CAD/CAPP integration was realized via information from the enriched EMF, as well as production rules and a European Consumers’ Perceptions and Attitudes towards Non-Thermally Processed Fruit and Vegetable Products genetic algorithm.This is done for the purpose of the automated machining operation sequencing.Operation sequencing was conducted by using the improved genetic algorithm (GA).The improved GA uses integer representation for operations and implements modified genetic operators, enabling the achievement of high results in a reasonable computational time.
In the paper we present a comprehensive case study applied to some existing and one new industrial example, confirming a high level of usability of the proposed GA and overall platform.Experimental results show that the improved GA algorithm gives slightly better results than similar algorithms in literature.For industrial example, we use body PENGARUH KUALITAS PELAYANAN TERHADAP KEPUASAN PENGGUNA JASA PADA RUMAH SAKIT UMUM DAERAH BANGIL KABUPATEN PASURUAN of the hydraulics cylinder which consists of 52 EMF.After implementation of the proposed methodology, the optimal machining operation sequence was identified, as well as the total machining cost of 142.49 BAM.