GÜMÜŞOĞLU, Şevkinaz Yaşar Üniversitesi - Meslek Yüksekokulu, Turkey , ERBOY, Nedret Muğla Sıtkı Koçman Üniversitesi - Doktora Öğrencisi, Turkey , ÖZDAĞOĞLU, Güzin Dokuz Eylül Üniversitesi - İşletme Fakültesi - İşletme Bölümü, Turkey

Genetic Algorithm-Based Approach for Constructing Product Groups in Make-to-Order Production Environments

25691

In today’s production environments in which there exist a cutthroat competition and continuous changes in demands needs of customers, enterprises have started to search for solutions to make their manufacturing systems flexible and profitable to keep up with these conditions. In make-to- order systems, the ambiguity in demands, range of products, different processing time of the pieces and the number of processes they go through cause a complex flow of manufacture. Especially for make-to-order production environments, product classifications and groupings are carried out to cope with planning difficulties and to maintain the flexibility. Product and machine classifications are handled within the context of group technology and cellular manufacturing. In this study, a novel product grouping approach is presented for organizing machines and providing the flexibility for the manufacturing processes based on genetic algorithm considering total processing times. The proposed approach supports the improvement in productivity and the deficiency in lateness.

259

Group Technology , Product Families , Cellular Manufacturing , Genetic Algorithm , Just , in , time Manufacturing

Journal Of Management an‎d Economics

284